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Sara Miller McCune founded SAGE Publishing in 1965 to support

the dissemination of usable knowledge and educate a global

community. SAGE publishes more than 1000 journals and over

800 new books each year, spanning a wide range of subject areas.

Our growing selection of library products includes archives, data,

case studies and video. SAGE remains majority owned by our

founder and after her lifetime will become owned by a charitable

trust that secures the company’s continued independence.

Los Angeles | London | New Delhi | Singapore | Washington DC | Melbourne

Annmarie Hanlon




Hanlon_Digital Marketing_AW.indd 5 12/10/2018 12:55

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This book is dedicated to Nick, who positively makes all things possible.

To my parents, who were there at the start but left before the ink was dry, Ar dheis

Dé go raibh a n-anam.


List of Figures viii

List of Tables xi

About the Author xiii

Acknowledgements xiv

Preface xv

Online Resources xvi

Part 1 Digital Marketing Essentials 1

1 The Digital Marketing Landscape 3

2 The Digital Consumer 24

Part 2 Digital Marketing Tools 49

3 The Digital Marketing Toolbox 51

4 Content Marketing 95

5 Online Communities 125

6 Mobile Marketing 151

7 Augmented, Virtual and Mixed Reality 181

Part 3 Digital Marketing Strategy and Planning 203

8 Audit Frameworks 205

9 Strategy and Objectives 225

10 Building the Digital Marketing Plan 249

11 Social Media Management 270

12 Managing Resources 294

13 Digital Marketing Metrics, Analytics and Reporting 309

14 Integrating, Improving and Transforming Digital Marketing 339

References 361

Index 386


1.1 A framework for analysing the pace of technology substitution 5

1.2 Application of digital disruption across industry sectors 13

1.3 Consumer-centric IoT business models 15

2.1 The scope of consumer behaviour 27

2.2 Technology Acceptance Model (TAM) 29

2.3 Typology of consumer communication (C2B/C2C) in the

digital age 32

2.4 Online customer service experience (OCSE) conceptual model 41

3.1 Digital marketing toolbox 54

3.2 Example of email marketing 56

3.3 Why email works model 58

3.4 Tweet from AdAge 69

3.5 ASOS off-page SEO 74

3.6 Model of blog success 81

3.7 The honeycomb model 84

3.8 Investing in social media 90

4.1 From keyword to long-tail keyword 98

4.2 The Furrow Russian edition 100

4.3 The Content Marketing Pyramid 105

4.4 Strategic content building blocks for awareness 106

4.5 Example of image used for brand awareness 107

4.6 Strategic content building blocks for conversion 108

4.7 Strategic content building blocks for retention 109

4.8 Paid, owned, shared, earned (POSE) media model 113

4.9 The TripAdvisor® content gate 119

4.10 Example of targeted content by Superdry 120

4.11 Content themes and content promotion framework 121

4.12 The Content Maximiser™ 122

4.13 Examples on the vividness to interactivity scale 123

5.1 Example of London Northwestern Railway Trains’ use

of Twitter as a customer service channel 141

5.2 Key factors in online community management 141

5.3 Community lifestages model 144

5.4 Example of customer complaining behaviour – directness 146

5.5 The place of social media in the customer complaining process 147

5.6 Example of double deviation by an organisation 149

6.1 The structure of an m-payment ecosystem 158

6.2 The elaboration likelihood model of persuasion 162


6.3 Mobile advertising effectiveness framework 164

6.4 How ad networks work to manage publishers,

applications and advertisers with an

advertisement library 166

7.1 Simplified representation of a

‘virtuality continuum’ 183

7.2 Technology Readiness Scale 186

7.3 Technological variables influencing telepresence 188

7.4 Lockheed Martin Mars Experience Bus 191

7.5 Typology of experiential value 194

7.6 IKEA VR kitchen app 195

7.7 Gatwick Airport augmented reality wayfinding

app using beacons 197

7.8 Conceptual model for an adoption framework for mobile

augmented reality games 199

8.1 Digital marketing audit in context 207

8.2 Ten Cs of marketing for the modern economy 209

8.3 Forrester’s 5Is 220

9.1 The TOWS matrix 230

9.2 The social media strategy framework 234

9.3 The acquisition, conversion, retention framework 236

9.4 The McKinsey consumer decision journey 238

9.5 Hierarchy of objectives 242

9.6 Business goals adapted into digital marketing objectives 243

10.1 The 9Ms of resource planning 258

10.2 Social media campaign planning process 262

10.3 Framework for digital marketing campaign objectives 263

10.4 Impact and effort matrix 268

11.1 Increasing levels of media richness 275

11.2 Classification of social media by social presence/media

richness and self-presentation/self-disclosure 276

11.3 Stage model of social media adoption 280

12.1 Line messaging system 296

12.2 The T-shaped web marketing skill set 297

12.3 The T-shaped web marketer 298

12.4 The Suitability, Acceptability, Feasibility (SAF) framework 304

13.1 Weak, acceptable and strong metrics 315

13.2 Flowchart of customer search loop 320

13.3 Example of web address using UTMs 325

13.4 When Facebook users are on site for a business to business

organisation 326


13.5 Strategic dashboard 334

13.6 Framework for the adoption and success of dashboards 336

14.1 Vanish Tip Exchange example 342

14.2 Communication goals 344

14.3 IMC conceptual framework 345

14.4 Example heatmap 350

14.5 Actual customer journey 352

14.6 Path to superior firm performance 359


1.1 Adopter categories and general characteristics 7

1.2 The move from traditional to digital marketing tools 10

1.3 Generational cohorts 11

2.1 Differences in customer acquisition for

traditional and digital consumers 28

2.2 Initial scale items for Perceived Usefulness and

for Perceived Ease of Use 30

2.3 Customer experience management 38

2.4 What we know about customer experience 38

2.5 Service blueprinting with examples 42

2.6 Aligning the customer journey and business strategy 43

3.1 Development of the digital marketing toolbox 53

3.2 Website purpose and function 61

3.3 Examples of HTML code 73

3.4 Personal data available via social media pages 84

3.5 The utility of social media for business 88

4.1 Content Marketing Strategy Framework 101

4.2 Content purpose blueprint 102

4.3 Digital persona elements 103

4.4 Storybox Selection™ 104

4.5 Content purpose blueprint and metrics 112

5.1 Timeline of online communities 128

5.2 Demographic features within online communities 134

5.3 Rules of engagement examples 142

5.4 How to manage different types of online complaints 148

6.1 Mobile marketing implications 152

6.2 Use of wearables for marketing 160

6.3 Mobile advertising options 163

6.4 Benefits and downside of programmatic advertising 168

7.1 Virtual and augmented reality timeline 184

7.2 Six dimensions of interactivity 189

7.3 Experiential value applied to retail examples of

virtual and augmented reality 194

7.4 Industry bodies 200


8.1 Customisation techniques 214

8.2 Reasons why customers make contact with organisations 216

8.3 Evaluation of British Airways’ current digital marketing methods 221

8.4 Digital PESTLE used as an evaluation of opportunities and threats 222

9.1 Themes and metaphors in marketing 227

9.2 Strategy models 228

9.3 Digital marketing strategy models 232

9.4 Application of the McKinsey consumer decision

journey to strategy 239

9.5 Business goals based on organisation type 242

10.1 Digital application of the 7Ps to ASOS and Boohoo 252

10.2 Strategy, digital marketing objectives and tactics 253

10.3 One-page digital marketing plan 254

10.4 Building the action plan 256

10.5 Digital media plan example 267

11.1 Overview of main social media platforms 271

11.2 Prominent features of the four social media tools 276

11.3 Summary of the 5C categorisation 278

11.4 Risk evaluation for an #AMA event 283

11.5 Social media monitoring and management tools 288

11.6 Midlands Air Ambulance Charity aligning the digital

marketing and social media strategy 292

12.1 The RASCI and RACI models 301

12.2 RACI roles and responsibilities example 302

12.3 Key considerations in the SAF framework 305

12.4 SAF framework scoring example applied to PetBnb 306

13.1 Twitter data 311

13.2 Metrics from traditional to digital 312

13.3 Financial KPIs 314

13.4 Metrics and how to apply them 316

13.5 Web analytic data elements 321

13.6 Social media analytics terminology 325

13.7 Email analytics data available 328

13.8 Management and dashboard systems 337

14.1 Message appeals applied to digital marketing 341

14.2 The 7Cs of integration 343

14.3 The 4Cs of cross-platform integration 348

14.4 Companies failing to adopt digital business 353


Annmarie Hanlon is a Senior Lecturer in Digital Marketing at the University of

Derby and a practitioner who works on digital marketing strategy and social media

projects with charities, household names and service businesses.

Originally a graduate in French and Linguistics, Annmarie subsequently gained a

Masters in Business Administration, focusing on marketing planning. She studied

for the Chartered Institute of Marketing Diploma for which she won the Worshipful

Company of Marketors’ award for the best worldwide results.

As an early adopter, working in ‘online marketing’ since 1990, she is a Senior Examiner

in digital strategy, a Fellow of the Chartered Institute of Marketing, a Member of the

Marketing Institute Ireland and a Liveryman of the Worshipful Company of Marketors.

Annmarie is past winner of the Mais Scholarship and her research interests include

the strategic use of social media in organisations, differences in practice between

generations and the technology that makes it happen.

Follow her updates on Twitter @AnnmarieHanlon


Writing a textbook on digital marketing is achieved with a supporting cast of prac-

titioners and academics. As a hybrid part-academic and part-practitioner I am in a

wonderful and unique space with access to students as well as organisations of all

shapes. Whilst I would like to list everyone who has helped, this would be like the

never-ending speech at the awards ceremony! May I thank you all, you know who

you are #RoundOfApplause.

Special thanks are due to: Karen Jones at Aston University, who provided constant

motivation and helped with the content marketing and online communities chapters;

Adam Civval at Greendog Digital, David Peck at the University of Derby and Peter

Rees, an examiner in digital marketing, who all provided inspiration and ideas for

mobile marketing; Karl Weaver, the CEO of Isobar, who shared insights into program-

matic advertising; Richard Shambler, a long-established examiner in digital marketing

and an expert in the SAF framework; some of my former digital marketing students

now working in agencies and in-house: Joe Alder, Imogen Baumber and Jade Walden.

Thanks to those behind the scenes, including: Jonathan Saipe and Tracey Stern, who

deliver digital training at Emarketeers, Brian O’Kane at Oak Tree Press in Cork, who

inspired me to write my earlier practitioner books, Dave Chaffey, who encouraged

me to write a textbook, plus the plethora of anonymous reviewers who provided

fantastic feedback.

Translating the book from an idea to reality was made possible by the detailed

and dedicated SAGE team, ably managed by Matthew Waters, Delia Alfonso and

Jasleen Kaur.


Digital marketing is a journey that can take an organisation towards new markets,

discover new opportunities and protect the current landscape. In the digital marketing

journey you can choose to be a navigator or a passenger. As a navigator you explore

options, set the course and lead the way. As a passenger you can sit back and take

in the scenery or you can lean forward and advise the navigator.

Whilst digital marketing was established 20 years ago and is one of the fastest moving

and most exciting aspects of marketing today, there are fewer universities and colleges

providing digital marketing education. As a result there is still a lack of understanding

and fewer established frameworks to make it easier to adapt business practices and

adopt new ways of working. This book aims to provide that understanding and share

the latest concepts to apply in organisations, whether you are a student working on

a case study, or heading into your placement year, or juggling a part-time vocational

marketing module with work.

Students can think of this textbook as a digital marketing roadmap, a blueprint for

your digital journey, to enable you to become navigators rather than passengers.

The book contains three key parts. Depending on your knowledge you may start at

Part 1 or jump straight into Parts 2 or 3.

Part 1, Digital Marketing Essentials, equips you with a useful context to the digital

landscape. Discover the key concepts to understand how we arrived in this new world

and comprehend more about the changing digital consumer.

Part 2, Digital Marketing Tools, provides a rich source of the key components. It

starts with an overarching toolbox that explores all possible digital marketing tactics,

followed by more detail with dedicated chapters on content marketing, online com-

munities, mobile marketing and augmented, virtual and mixed reality. It is critical to

understand the tools available before embarking on a digital strategy.

Once you have comprehended the digital marketing tools, this is a good time to

explore Part 3, Digital Marketing Strategy and Planning. This part investigates digital

audit frameworks to ensure you are ready to develop the strategy and objectives,

before building the digital marketing plan. Newer issues, including social media

management, managing resources, digital marketing metrics, analytics and report-

ing, are included. The part concludes with methods of integrating, improving and

transforming digital marketing, enabling you to apply the knowledge and tools gained

though the chapters.

Enjoy the journey and let’s start the campaign to create more digital navigators!


Head online to access a wealth of online resources that will aid study and support

teaching, available at: Digital Marketing:

Strategic Planning & Integration is accompanied by:


• Editable PowerPoint slides will allow you to easily integrate each chapter into

your lessons and provide access to figures from the book

• Kahoot! quizzes will help you test students’ knowledge and understanding

of the materials

• Instructor manuals for each chapter will provide further support when teach-

ing each chapter and encourage discussion in sessions

• A digital marketing strategy and plan template can be used to help students

get their project off the ground

• Downloadable templates can be added to course resources or printed out

for use in class


• Follow the links to SAGE journal articles selected by the authors to help you

supplement your reading and deepen your understanding of the key topics

outlined in each chapter

• Access links to helpful websites with lots of extra information to reference

in your assignments





1 The Digital Marketing Landscape 3

2 The Digital Consumer 24





When you have read this chapter, you will be able to:

Understand key issues in the digital landscape

Apply communications theories to a digital environment

Analyse technology change

Evaluate blockchain potential

Create a plan to become an opinion leader


When you have worked through this chapter, you should be able to:

• Manage online reputation using third-party tools

• Apply the search engines’ EU privacy removal process for unwanted content



The fast-changing digital landscape provides many opportunities for marketers. It is

important to understand key concepts such as ubiquitous computing and how the

pace of technology has changed. This chapter explains how traditional marketing

models like Diffusion of Innovation are still valid and apply to online opinion lead-

ers, as well as differences between generations.

We explore the meaning and impact of ‘digital disruption’ and ‘the Internet of Things’,

with new business models emerging to understand how this applies to consum-

ers. In a world where your personal information has value, you can discover more

about ‘big data’ and privacy issues that affect marketing plans. The last part of this

chapter considers bitcoin and blockchain and how this might influence the future of

data management.


The growth of digital marketing has changed the relationship between businesses

and customers. Scholars and practitioners agree that organisations are keen to use

digital marketing to engage with their customers and we have moved into a new era

where things look different.


The term ‘ubiquitous computing’ was originally coined by Mark Weiser, who was head of the

Computer Science Laboratory at the Xerox Palo Alto Research Center (PARC) when writing in

Scientific American in 1991 (Weiser, 1991). At that time Weiser commented that in the future

there would be computers everywhere and we would not notice their presence; they would

just be there.

Some decades later, we have computers at home and with us at university; they are embed-

ded in our mobiles, wearables, in cars, in outdoor billboards – everywhere. We have reached

Weiser’s vision that computers are integrated ‘seamlessly into the world at large’ (p. 94).

One of the reasons for these trends and the change in the digital landscape is due to

the acceleration in the adoption of new technologies. It took more than 50 years for

over 50% of US households to adopt telephones (imagine life with no phone!), nearly

20 years to adopt home computers, yet it took less than 10 years for the same group

to adopt smartphones.

In a pre-digital age, you booked a holiday by visiting the travel agents on the high

street. It was only on arrival at your holiday destination that you saw what the hotel

really looked like. Today you will go online, read reviews, see ‘traveller photos’ or

holiday snaps others have shared and ask questions of people who have actually

visited the destination ‘IRL’ (= in real life).



Writing in the Harvard Business Review, Ron Adner and Rahul Kapoor (2016) explored

the pace of technology substitution and suggested that the speed of replacement was

based on ecosystems. Old technology ecosystems may find product extension oppor-

tunities whereas the new technology ecosystems need to counter these challenges.

Within their framework there are four quadrants, as shown in Figure 1.1, which can

be described as:

• Creative destruction, where there are few challenges to the new tech and few

opportunities for the old tech, resulting in fast substitution.

• Robust coexistence, where the old tech fights back and brings out alternatives

and a gradual substitution takes place.

• Illusion of resilience, where the new tech moves in with few challenges.

• Robust resilience, where old tech fights back and new tech challenges, bringing

about a gradual substitution.













































































IN THE 1990S







Figure 1.1 A framework for analysing the pace of technology substitution

Source: Adner and Kapoor, 2016, p. 66


It could be argued that there are limitations to this framework as the research was

based on a five-year study in the semiconductor manufacturing industry and adop-

tion of new products is not always based on product desire, but also availability.

In some countries it is harder to get a landline phone than a mobile. The landline

requires wires and major investment whereas a mobile network is simpler to deploy.

At the same time, growth in landline telephone ownership is declining sharply, espe-

cially in the G12 industrially advanced nations. Explore the latest statistics on the

Telecommunication Development Sector (ITU-D, 2017).

Activity 1.1 Analyse Technology Change

1. Working in groups, use Figure 1.1, the framework for analysing the pace of technology substi-

tution, to analyse the types of technology changes that you have witnessed in your lifetime.

2. What were the greatest changes?

3. Why was this?

4. Are there any difficulties ensuring all four quadrants in the framework are included?

How do we learn about new products or what influences our judgement to adopt new

technology? In 1944 sociologists and behavioural scientists Paul Lazarsfeld, Bernard

Berelson and Hazel Gaudet conducted a study to see how mass media affected voters

in the US election campaign for President Franklin Roosevelt (Lazarsfeld et al., 1944).

The surprising result of their research was that it was influencers, or opinion leaders,

not the media, that had the greatest impact. Influencers, who received the messages

from what at that time were mainly traditional newspapers and radio, shared this

with their ‘followers’.



The research was further developed by Paul Lazarsfeld and Elihu Katz who named this

the two-step flow theory of communications (Lazarsfeld and Katz, 1955) where the

media communication was received by the influencer and then passed to other


There were limitations to the two-step flow theory of communications. It was based on

one piece of research, which meant that it was not necessarily generalisable to other

situations. It may be that this was a set of exceptional circumstances that could not be

repeated. Another issue is that it was a simplistic binary model which assumed that this

is how mass media worked. As a result of these limitations, the model was extended

from two to multiple steps (the multi-step flow), which was developed by John Robinson

(Robinson, 1976) and was used as a basis for other communications theories.


A key aspect of the digital environment is that we have moved from two-step or

multi-step to a totally different understanding of communications with newer models

emerging, such as media richness (see Chapter 11, Social Media Management) and

uses and gratifications theory (see Chapter 13, Digital Marketing Metrics, Analytics

and Reporting), although at the same time some much older theories, such as diffu-

sion of innovations, have remained valid.


In 1962 Everett Rogers published a book entitled Diffusion of Innovations, which was based on

the two-step flow of communications and explored the conditions that increased or decreased

the likelihood of product adoption.

In this model, based on how a product gains momentum and spreads or diffuses through

a group, Rogers proposed five adopter categories – (1) innovators; (2) early adopters; (3) early

majority; (4) late majority; (5) laggards – which considered the time at which an individual

adopted an innovation.

The five adopter categories were ideal types fabricated to make comparisons, and Rogers

recognised these generalisations. There was criticism of the terminology – no one wanted to be

considered as a laggard, which was perceived as being a negative label. Table 1.1 shows some

of the general characteristics identified, which I have adapted to apply to digital marketing.

The one notable category is that early majority were seen as opinion leaders, an idea

which was identified in the two-step flow theory of communications and which reverberates

within digital marketing as organisations strive to seek those to influence product adoption.

Table 1.1 Adopter categories and general characteristics

Adopter category General characteristics % adopters of innovation

(1) Innovators Active information seekers, often

buying the latest gadget – who

in class has a pair of Snapchat



(2) Early Adopters Opinion leaders who are happy

adopting new products, seeking

information before others – whose

opinion do you seek in class when

buying gadgets?


(3) Early Majority Deliberate before adopting –

active blog readers who like to

gather evidence before deciding.


(4) Late Majority Sceptical and nearly the last

to adopt – they may still own a

feature phone.


(5) Laggards Suspicious of inventions and only

adopt when no choice – perhaps

the one remaining lecturer with no

mobile phone!



Rogers generalised that opinion leaders (see Key Term) were more cosmopolitan

than their followers. One prescient observation from Rogers was that opinion leaders

needed access to mass media and had to be accessible. Think about those opinion

leaders with mass followers on YouTube and Twitter – they meet these conditions.



Opinion formers are formal experts. They work in this area, may be qualified or professionally

trained and have significant specialist knowledge about the subject.

Opinion leaders are informal experts who carry out research and whose knowledge is

valued amongst family, friends and followers.

As Lazarsfeld, Berelson, Gaudet, Katz and Rogers observed, the opinion leaders, or

influencers, are key to spreading the word about new products and services. These

influencers are generating an income from their online following and, according to (O’Connor, 2017), a paid-for social media post can be very lucrative, with

fees of $25,000 paid to a top yoga teacher (e.g. Rachel Brathen) for their endorsement

or $3000 to $5000 paid to a recognised fitness instructor.

The fees can be higher for specific social media platforms where they have greater

numbers of followers and fans, for example:

• $300,000 for a YouTuber with 7 million subscribers or more

• $200,000 for Facebook

• $150,000 for Instagram

In our digital age, as celebrities charge more and more to promote brands, brands

are turning to alternatives. We have seen the development of a new type of opinion

leader, the micro-influencer. suggested that ‘an Instagram user with

100,000 followers can command $5,000 for a post made in partnership with a com-

pany or brand’ (O’Connor, 2017, p. 1).


Carol Scott, whilst director of marketing at a specialist influencer company, described micro-

influencers as ‘everyday individuals with small, dedicated followings online’ (Scott, 2016, p. 1).

Writing in Adweek, Emma Bazilian provided a profile of a female millennial micro-

influencer: typically aged between 18 and 34 with 2000 to 25,000 Instagram followers,

attracting an engagement rate of 3% and higher. Their key topics were fashion,


beauty, travel or fitness (Bazilian, 2017). Bazilian added that the brand marketers

could employ these micro-influencers to promote and increase product and brand

awareness and specifically to:

• Seed products

• Promote sample products

• Share unbox videos

• Create ‘how to’ videos

• Develop ‘day in the life of’

• Share trending content

• Attend events

• Promote discount codes

• Host product competitions

Smartphone Sixty Seconds® –

Evaluate Your Influencers

On your mobile phone search for your favourite influencers. You might follow them on Instagram but

they may have additional social media profiles too.

• Find all their online profiles.

• Add up the number of followers on each.

• Find a sponsored post and share with classmates.

• Try to figure out what they were paid for the post and what impact you think it had.

Case Example 1.1 Eltoria Influencer


Eltoria is the alter ego of Simone Partner and, as an influencer, Simone is not an ‘IT girl’ or someone

who has a famous dad. She had a very different starting point and is a law graduate from the Uni-

versity of Reading, where she gained a 2:1 degree.

In the last year of studying law, Simone’s course included one non-law module and she opted for

‘entrepreneurship’ and for her assessment started the Eltoria UK fashion and lifestyle blog based on

her interests. At the time she was working at the organic skincare firm Lush. She enjoyed the module,

which was evidenced in her results – a first-class grade. After university she pursued a career in law

and her first job was in a big commercial firm, which she didn’t enjoy, so she tried a smaller legal firm.

However, in both firms she discovered that law was not a career in which she felt she could work for



the rest of her life. Having continued with the blog and subsequently winning many awards, Simone

realised that it could be a career option. The awards allowed Simone to take some time off and focus

on the blog to see if it could work.

Today Simone has generated an impressive following on YouTube, Instagram, Facebook and

Twitter. She is not the average fashion blogger: she’s intelligent, her content is well written, with great

depth and analysis. Having been at university, she has had typical student jobs in retail stores and

understands the challenges faced by those who are working and studying. This may be one of the

reasons that she is popular with university students – she understands their situation.

In terms of a typical week, Simone records five to six videos and sometimes works for 12 hours a day

to complete the content for a brand contract. There is a lot of work that takes place behind the scenes.

Having created the brand, her website showcases the social media services provided:

• Social media support

• Sponsored blog posts

• YouTube partnerships

• Ambassador campaigns

See more at

Case Questions

• What do you think about micro-influencers like Eltoria?

• Did you realise serious lifestyle bloggers could be working 50 or 60 hours a week?




How did we make the move from traditional to digital marketing tools?

As technology has decreased in price, and with the development of the internet, digital

marketing has offered easier, but not always cheaper, solutions. Plus, new technology

has heralded changes in behaviour (see Chapter 2, The Digital Consumer), resulting

in the decline of traditional marketing tools, as shown in Table 1.2.

Table 1.2 The move from traditional to digital marketing tools

Traditional Digital Why the change?

Newspaper and

magazine adverts

Online adverts;

social media, PPC

Newspaper and magazine sales have declined and it’s easier to

target people online

Door-to-door sales


Email Door-to-door is expensive and we can now personalise offers to

existing customers via email

Company brochures Websites Printing brochures is expensive, so is creating websites, but they

are agile and easier to change as needed


Traditional Digital Why the change?

Traditional PR Online PR, blogs With the decline in newspaper and magazine sales, the number

of staff has declined too; online PR makes the process easier

Directories like the

Yellow Pages

Search engine


The default is to search online and voice search is growing, so

directories have become smaller and are rarely used

Community groups Social networks We live in a more mobile world where people move from home

towns to find work, so traditional community groups have

declined, but social media networks increased

The challenge is that not all generations have made that move, as we will explore

in the next part.



If you’re a student at university now, there’s a good chance that you’re a digital native.

You’ve been born into a time when mobile phones, tablets and wearables are the norm.

The research says that you rarely watch TV in real time, you’d rather view YouTube. You

don’t send letters, you use WhatsApp. You don’t use Yellow Pages, you ask Siri. As you’re

using a range of digital tools to talk, shop and share, some of the older generation of

digital immigrants are seeking your help to plan and organise their digital marketing.

The words ‘digital native’ and ‘digital immigrant’ weren’t invented by me; they are

part of a range of generational cohorts, which are shown in Table 1.3 with selected

reference sources for you to explore further.

Table 1.3 Generational cohorts

Term Birth years Selected sources

Baby Boomers Born mid-1946 to mid-1964 Porter, 1951; Hogan et al., 2008

Generation X Mid-1960s to the late 1970s/early


Coupland, 1991; Hamblett and

Deverson, 1964

Digital Immigrants Born before 1980 Prensky, 2001a

Digital Natives Born after 1980 Prensky, 2001b; Palfrey and Gasser,


Net Generation Born between 1982 and 1991 Tapscott, 1998

Millennials Born in or after 1982 Howe and Strauss, 2000

Google Generation Born after 1993 Rowlands et al., 2008

Generation Y Born between 1981 and 1999 Bolton et al., 2013

Generation C Born after 1990 Dye, 2007; Friedrich et al., 2010

Some cohorts cross into another generation. This is because there is no official

agreement on the terms, nor are they formally defined by government, but mainly

by researchers and consultants working in advertising who see the different

behaviours developing.


The terms ‘digital native’ and digital immigrant’ are considered by some as being con-

troversial and by others as divisive. The phrases are largely credited to Marc Prensky,

who was teaching groups of students and realised there was a marked difference

between the students who had always used technology and teachers who were new

to this. He described the situation as similar to learning a new language, where immi-

grants move into a new country and learn the language but it is never their mother

tongue, so they might always retain an accent. In the same way he thought that those

who had to learn about technology would retain this ‘accent’.

The work has been criticised due to the phraseology and as some people objected

to the labels. I’m a digital immigrant but love technology and as an early adopter I

could see how it would make life easier. Equally, I sometimes witness students who

are digital natives, struggling with newer technologies.

Looking at the most recent group, Generation C, Jessica Dye said this stood for con-

tent but commented in her website that it could stand for creativity, consumption

or connected. Roman Friedrich and his colleagues at the international management

consultancy Strategy& (previously known as Booz & Company) stated that the ‘C’ rep-

resented connect, communicate and change. The key factor is that this demonstrated

the lack of consensus with these terms.


Every era sees disruption from newer technologies that replace outmoded methods

of delivery, service, production or communication. The introduction of the internet

removed the need for the telex machine and soon replaced fax machines as methods

of urgent and business communication.

Although the phrase ‘digital disruption’ probably came about following the creation

of the law of disruption, named by journalist Larry Downes (Downes, 2009), we don’t

have an official definition, so we could describe digital disruption as ‘major mar-

ketplace changes or sector transformation, following the application of technology’.

Bain & Company, one of the world’s leading management consultancy firms, has

explored the application of digital disruption across industry sectors, as shown in

Figure 1.2.

Digital disruption started with the introduction of the internet and initially we had

‘brochureware sites’ or what Fareena Sultan and Andrew Rohm described as ‘the com-

munication of basic Web-site content’ (Sultan and Rohm, 2004, p. 8). We gradually

moved into online shopping, and today Amazon has extended the disruptive shopping

experience with the ultimate disrupter – the Amazon Dash Button, where shoppers

simply press a button to re-order specific products (Amazon, 2017).

The internet has evolved from super-slow dial-up to super-fast with data being retained

and easy to access. The internet has only disrupted our lives in the last few years,

with the rollout of broadband at consumer rather than business level, which enabled

faster and easier access for mass markets (see Discover More on the Past and Future

History of the Internet).


R&D Manufacturing Distribution Retailing

Sales &



















Oil & gas


Oil & gas




goods &



Tech &




goods &




Internet of


Digital data






Automation and

digitalization of


Figure 1.2 Application of digital disruption across industry sectors

Source: Bain & Company, 2015.



Written by the who’s who in internet development, ‘The past and future history of the Internet’,

published in Communications of the ACM, provides great background information to the early

impact of the internet and how it evolved (Leiner et al., 1997).

All digital disruption is driven by technology, especially as it becomes smaller, faster

and easier to access. Examples of technology-driven digital disruption include:

• 1995: Amazon disrupted the traditional book-selling market

• 1997: Netflix disrupted the traditional video-hire market

• 2008: Airbnb disrupted the accommodation sector

• 2009: Uber disrupted taxi services

What is interesting to note is that some disruption takes years to gain scale. As an

example, Amazon is heralded as the next new easy-to-use online supermarket, yet it

has existed for over 20 years.


Activity 1.2 What’s Your Digital Disrupter?

1. Thinking about one of your favourite brands, what innovations could disrupt and change how

it works?

2. Describe and assess how disruption would bring benefits and differentiate the brand.

See Template online: Assessment of Disruption


The Internet of Things (IoT) (see Key Term) is one factor that has contributed to digi-

tal disruption. Understood as connectivity technologies where devices are joined up,

the IoT ecosystem relies on sensors such as barcodes and RFID tags (radio-frequency

identification) within a WiFi zone. From this it can identify physical properties such

as: Are there people in the building? How is your health? Is your heart beating at the

usual rate? What’s the date on the barcode? What’s the thermostat temperature? This

is combined with autonomous machines being accessed via a remote control source

such as an app on your phone or your wearable device.

Having identified the tags and what’s happening means that we are more intelligently

using the data. One commonplace example is a Satnav system that finds the fastest

way to your destination, suggesting alternatives routes to avoid congestion. Some

Satnav systems have greater connectivity where marketing is involved, showing the

nearest Starbucks, BP petrol station or McDonald’s.

IoT has developed dramatically in healthcare and medical devices, such as pacemak-

ers that can be adjusted while the patient is at home and the cardiac consultant is

in their office. This does scare some people (what if it goes wrong?) and there have

been rumours about issues with US presidents and their pacemakers being hacked!

In domestic situations we are already witnessing the start of how the IoT is develop-

ing, with devices like Google Home and Amazon Alexa that can connect to lighting,

heating and security within the house. This means if you leave the house and can’t

remember if you left the lights on or not, you can check the app and switch off the

lights. Equally if you’re arriving back late, you can switch on the lights, the heating

and the oven 10 minutes before you arrive home.

Based on a discussion group, Professor Peter Verhoef and many colleagues explored

consumer connectivity and they created a framework for a consumer-centric IoT, as

shown in Figure 1.3. This is a simplistic matrix approach where they have used two

variables – ecosystems and interactions – and from this identified four business models.

In ecosystems they have noted the idea of open and closed systems. For business

model (I), which is a closed system with utility, they used Amazon Echo as the exam-

ple. It is closed as it is only available in a specific geographic area, it is linked to an

individual or family account and it may be passcode protected.

Open networks are available to others, such as the smart meters which are shown

in model (II). This means that instead of the requirement to stay at home when the


electricity, gas or water meter usage is checked and recorded by an engineer, this

could happen remotely from the supplier’s office. Model (II) facilitates better energy

use as washing machines could be intelligently managed and switched on when there

is less power usage on the grid, or timed to complete the wash cycle five minutes

before the alarm clock goes off.

The group discussed levels of interaction between business and consumers. Business

model (III) is a closed system for use by consumers. In this example, they used Nest,

the technology company that enables consumers to connect devices and send com-

mands remotely from an app to switch on the lights, measure the amount of heat,

light and power used that month or check the security cameras.

Model (IV) explored consumers interacting with each other on a peer-to-peer basis.

So if there is a day in your calendar when you are not using your car, one of your

neighbours could rent or borrow it, and their example was Relay Rides, a firm that

enables this functionality in the United States, similar to Airbnb, but for cars.




Smart Grid







Relay Rides

Amazon Echo Nest


Figure 1.3 Consumer-centric IoT business models

Source: Verhoef et al., 2017, p. 5

It is an interesting model, which, in a utopian world, would work well, but there may

be privacy concerns about sharing your calendar with your neighbours – do you want

them to know when you’re away or at home all day?

Amazon Echo had challenges when initially launched as children were making pur-

chases via their parents’ Amazon accounts. Amazon has solved this with the option

to enter a passcode before confirming purchases. There are additional concerns about

the devices being hacked so that snoopers can monitor your conversations. The dif-

ficulties ahead may be about the fear of use and potential misuse of systems, rather

than the technology.

As the technology evolves and as we become more comfortable with its use and

security improves, we could use the IoT in other ways, for example:

• Scanning food into the fridge, which will tell you what’s needed for the menu

that night before sell-by dates are reached – less food waste.


• Regular items automatically re-ordered as the supplies run low – better manage-

ment of household goods.

• Changes in health or diet could trigger an automatic request for a medical

check-up – proactive healthcare monitoring.


In a background report from the Organisation for Economic Co-operation and Development

(OECD) for a ministerial panel, the authors provided this definition:

IoT refers to an ecosystem in which applications and services are driven by data col-

lected from devices that sense and interface with the physical world. In the Internet of

Things, devices and objects have communication connectivity, either a direct connec-

tion to the internet or mediated through local or wide area networks. (Working Party on

Communication Infrastructures and Services Policy, 2016, p. 9)

Another aspect of the IoT is the industrial internet of things (IIoT). This considers

IoT on an industrial scale, where, within towns and cities, different elements are

connected, such as traffic lights and pollution sensors, drains and surface water out-

put, outdoor temperatures and heating systems. The typical aspects that contribute

to the IIoT are focused on improving energy production, healthcare, manufacturing

and logistics. This has become a recognised phenomenon and there is a dedicated

Industrial Internet Consortium, founded by organisations including IBM, Intel, General

Electric (GE) and other technology companies.

Part of the IIoT is the concept of Smart Cities, which have been described by Yasir

Mehmood and his colleagues as a ‘complex ecosystem characterized by the intensive

use of information and communications technologies (ICT), aiming to make cities

more attractive and more sustainable, and unique places for innovation and entre-

preneurship’ (Mehmood et al., 2017, p. 16).

The move towards the smart city concept is only possible with sensors, cameras and

mobile devices collecting and sharing data, part of which revolves around big data

(see Key Term). The issue is whether you, as a future citizen of big cities, are happy

being tracked, monitored and shared through an ecosystem.

There is a dark side to the Internet of Things, which is well described by researchers

David De Cremer, Bang Nguyen and Lyndon Simkin who highlighted potential abuses

at different stages from transaction, gathering knowledge, the ongoing relationship

and integrity. The main issues raised were (De Cremer et al., 2017, p. 150):

• Information misuse – abusing the data held about the customer

• Privacy issues – collecting health and personal fitness data and selling online

• Switching barriers – making it less attractive or difficult to switch providers

• Favouritism and discrimination – micro-segmentation based on shared customer



• Unfairness – discriminating against certain user types, such as higher prices to

Mac users

• Dishonesty – cross-selling potentially unwanted or unneeded products based on


• Financial penalties – only benefiting clients wearing fitness devices and penalis-

ing those that won’t

• Confusing customers – only providing complex pricing models

Activity 1.3 Create Your Internet of Things

1. In groups discuss what would help university life within the Internet of Things.

2. Consider what elements could be connected.

3. What benefits could this bring?

4. What concerns do you have about your Internet of Things?


The Internet of Things groups together big data (see Key Term) from a range of dif-

ferent sources. This can be both positive and negative, as we have previously seen.


Originally defined by two NASA researchers, Michael Cox and David Ellsworth, big data referred

to large data sets that computers could barely handle (Cox and Ellsworth, 1997).

Some years later, in 2001, Doug Laney published an article about the benefits of central

data warehousing due to big data. In the article he coined the concept of the 3V for big data:

Volume, Velocity and Variety. This was a great way to describe all aspects of big data as the

breadth and depth of data increased (volume), the speed of data (velocity) had increased and

different types (variety) of structured and unstructured data appeared (Laney, 2001).

Health insurance companies know your age, job role, where you live, whether you

drive far for work, your family composition, typical diet, height, weight, health

problems and where you visit on holidays. Some companies are also offering free

fitness trackers for cheaper insurance premiums, which allows them to assemble a

full profile of your daily life.


Social media companies including Facebook, Twitter and Google gather big data. They

have your personal profile details and can see your buying behaviour. This can be

overlaid with additional data from third-party sources. This data is fed back to data

specialists where the data is integrated, to better inform market research companies.

Two of the main professional data specialists are:

• CACI, whose database named ‘Ocean’ provides lifestyle and demographic details

on 48 million adults in the UK.

• Nielsen, another major data specialist, which has amassed data on consumers in

47 countries.

These companies are invaluable resources when you are a busy marketing manager

and want to target the right customers with the right message. As professional organi-

sations, they abide by strict rules of conduct. However, there are less scrupulous firms

selling data. Within five days of having my academic email address published on the

university website, my data had been scraped (see Ethical Insights: Web Scraping)

and sold on, which I realised as soon as I started receiving random emails from

companies inviting me to attend health and safety conferences.

Ethical Insights Web Scraping

Web scraping or harvesting means taking data from websites without the owner’s permission. It

works by using web scraping software to visit websites, identify email addresses and add to a local

database. The database is typically sold on as ‘new data’ and those making the purchase might think

these companies have permission to sell the data!

Whilst web scraping is not technically illegal, using the data may be and often results in getting

emails blocked and reported as spam.

The challenge with big data for consumers occurs when a company scrapes their

data or uses their in-house data for other purposes, such as selling to third-party

‘partner organisations’ who advertise potentially unwanted products or adopt shady

selling techniques.



There is specialist legislation, which is commonly referred to as ‘the right to be for-

gotten’, which enables individuals to remove unnecessary personal data from search


Writing in the Journal of Consumer Affairs, researcher Kucuk Umit noted that collect-

ing information that is ‘inaccurate, inadequate, irrelevant or excessive’ contravenes

the individual’s right to be forgotten (Kucuk, 2016, p. 522).


However, as this is based on European Union legislation (May 2014 Court of Justice

ruling) it can only be applied within EU states, which means that the information

may remain in other locations, such as the United States. To discover how the pro-

cess works, explore the search engines’ request forms for removal of content: Google and Bing

Unsurprisingly, when a challenge occurs, solutions usually follow soon after. One

solution, if you are unhappy with your online profile or if the search engines reject

your request, is to gain third-party help to remove unwanted content, for a fee (see

Digital Tool: Online reputation management).

Digital Tool Online Reputation Management

The right to be forgotten has created several new businesses, including online personal reputation

management tools such as:


Other legislation across Europe (including the UK) concerning data and privacy is

the General Data Protection Regulation, which was introduced in 2018 and has

changed how data is managed (see Key Term).



The General Data Protection Regulation, abbreviated to GDPR, has introduced major changes

in how data is managed. The Regulation means that organisations can only contact consumers

if they have explicitly given consent, so if you have allowed a company to contact you about

an online sale and they contact you about a totally different subject, the law is being broken. If

organisations mis-manage the data and it is accidentally shared, leaked or hacked, the fines

have increased dramatically. Maximum fines are 20 million euros or 4% of turnover, whichever

is greater. This could result in smaller businesses ceasing to trade if their data is not properly

secured and is shared.

You can find out more about the GDPR on these websites:


• European Commission



In 2009 a new form of digital currency was introduced to the world, a cryptocur-

rency called Bitcoin. Created anonymously, it works on the basis of peer-to-peer

financing. There are no banks, no third parties, no bank vaults, no cash machines

involved with Bitcoin.

Bitcoins are stored in a digital wallet which is kept on your computer or stored in

the cloud. You buy or sell Bitcoins on Bitcoin exchanges, such as Coinbase and

Gemini Exchange. You can buy Bitcoins in any currency and transaction fees are

smaller than standard currency exchange rates, which makes them popular for large

overseas payments.

Transactions are recorded online in a transparent register which is called a blockchain

and all transactions are checked electronically.


1. Visit the Blockchain support centre online:

2. Read the Harvard Business Review article ‘The truth about blockchain’ (Iansiti and

Lakhani, 2017).

New Bitcoins are created by mining and an industry of Bitcoin miners has developed.

Bitcoin miners de-code online encrypted mathematical challenges using algorithmic

processes. In exchange for their work in finding and recording Bitcoins on the block-

chain, they are given Bitcoins. Becoming a Bitcoin miner requires hardware in the

form of super-fast computing systems as well as software.

There are downsides to Bitcoin as the whole process is anonymous, giving rise to

potential for money laundering as well as illegal or terrorist uses, and this has resulted

in many mainstream banks refusing to accept Bitcoin or closing accounts trading in

the currency.

Other downsides are that there are no guarantees if the coins are lost, and there have

been many scams with all aspects of bitcoins, from hacked wallets to software scams.

See ONLINE RESOURCE: Comparison of traditional currency and Bitcoin

Case Example 1.2 The Lost Bitcoins

James Howells, a computer engineer, was tidying up his old computers and accidentally threw away

a laptop containing 7500 Bitcoins in 2013, which was worth £750,000. Today it is more likely to be

around £40 million!

He spilt a drink on the device and decided to leave it for collection and removal to the household

waste recycling centre near Newport in Wales, only realising later that the hard drive contained his


digital wallet (McCormick, 2013). Howells visited the waste recycling centre only to discover that his

computer, along with significant amounts of other waste, was buried deep under metres of items,

somewhere in a space bigger than the size of a football pitch, and could not be recovered.

This case highlighted one of the vulnerabilities of bitcoins, that if stored on a device, there is no

way to retrieve them other than via that device. Since this time many bitcoin owners have backed up

their systems, just in case.

Case Questions

• Perhaps you don’t own any Bitcoins, but how do you back up your data?

• Have you lost data when a Macbook or laptop has failed? If yes, how did you cope with the

data loss?

• What might be the impact if your Macbook or laptop failed later today?

Whether Bitcoin has a future as a real alternative to traditional currency is debatable.

Payment specialists Consult Hyperion think it is unlikely as people would need to

be comfortable sharing all their transactions as well as needing to manage their own

Bitcoin security (Consult Hyperion, 2015). The bank BNY Mellon also thinks it is

unlikely, especially as countries including Iceland, Vietnam and China have banned

the use of Bitcoins (BNY Mellon, 2015).

Whilst Bitcoin is the best known, there are alternatives, such as Ethereum, Litecoin,

Ripple and many more. What Bitcoin has achieved is awareness of a new disruption

digital currency.


One technological innovation generated through the development of Bitcoin was

blockchain or distributed ledger technology (DLT). A blockchain is a distributed

database so no one person or organisation stores all the data, it is securely shared

over several systems, records all actions and is open for verification (Workie and

Jain, 2017).

Blockchain was initially aimed at securely recording all Bitcoin transactions but its

usefulness on a wider scale for ‘interorganizational cooperation’ was realised (Gupta,

2017, p. 3). There are experiments taking place at the moment to see how this type

of disintermediation (see Key Term) can work. The benefits of the DLT are:

• One single person does not control all the data

• Data sets are portable

• Records are transparent

• Greater data integrity as records cannot be changed later

• More efficient system


There are opportunities to use blockchain technology for:

• Medical records: Every specialist, every appointment, diagnosis, treatment and

prescription history could be viewed in one place. The doctor has the key; so

too does the patient and can share where needed.

• Education and training data: All results, certificates, accreditations, member-

ships and awards are in one place. The individual has the key and can share with

potential employers before interviews.

• Property records: A property passport could be established that lists all safety

checks, mortgages attached to the property, equipment installed (and removed),

planning permissions and ownership. The current owner has the encrypted digital

key that is handed to new owners when needed.

As a company, Blockchain is promoting itself as ‘the world’s leading software platform

for digital assets’ and has secured funding from major investors including Google’s

Venture Capital company Lakestar and Sir Richard Branson (Blockchain, 2017, p. 1).

There are drawbacks to blockchain technology too: supercomputers use a lot of

energy; some say as much as a small country! The database keeps growing and it

is getting slower; if you make a mistake, it is there forever and can’t be changed.

Once content is added, it can’t be corrected – whilst that has advantages, it is also a

disadvantage. It is also complicated and will take time to be used routinely by many

major companies.


Disintermediation is about removing the middle man or the intermediary. Researchers Manjit

Yadav and Paul Pavlou suggested that disintermediation was ‘the elimination or significant

curtailment of the role played by intermediaries’ (Yadav and Pavlou, 2014, p. 34).


1. Imagine you are working for an organisation with an older audience, mainly

digital immigrants. Write 500 words explaining the key changes in traditional to

digital marketing and what this means to them.

2. Create an outline plan to start a blog as an opinion leader. What tools or skills

would be needed? What would be the subject area? What types of content would

be included?


3. Analyse the Internet of Things in your environment, whether at home, work or

university. How are these items connected or how could they be connected?


This chapter has explored:

• The critical factors in the digital marketing landscape from ubiquitous computing

to micro-influencers.

• Why the move from traditional to digital marketing tools has occurred and the

difference between digital natives and digital immigrants.

• How digital disruption can change market sectors.

• Ways that the Internet of Things can be applied to consumers.

• How privacy and data need to be carefully managed in a marketing environment.

• The future potential of blockchain within business.





When you have read this chapter, you will be able to:

Understand consumerism and hedonic consumption

Apply the Technology Acceptance Model

Analyse the digital customer experience

Evaluate consumer power

Create a customer journey


When you have worked through this chapter, you should be able to:

• Construct an online customer journey

• Analyse the digital customer experience

• Create a service blueprint



In this chapter we will explore how digital marketing has introduced a whole new

era for the consumer. We can browse, compare, share and shop online. From owning

to renting, it’s all about delivering a successful customer journey.

We all study consumers – psychologists, sociologists, anthropologists, economists and

other experts. People-watching is a key part of consumer research: whether people

decide to buy or not to buy, how they choose, use and dispose.



We have moved from a time where companies made as many products as they could

and sold as many as possible in the mass production era, when there were few options

for shopping other than local stores. We are now in an era where we can access any

goods from any place at any time and often on any device. There is an emergent

culture of sharing what we have; from cars, to parking spaces, from spare rooms to

food. Plus we are more accepting of technology and see the usefulness it contributes

to our lives. So who or what is the digital consumer?

Let’s start with a definition of consumer from the Oxford English Dictionary (Oxford

Dictionary, 2017a):

• ‘A person who purchases goods and services for personal use.’

• ‘A person or thing that eats or uses something.’

That’s fairly straightforward. We all buy things and use them. At one level I’m a

consumer of salads and cappuccinos, at another I’m a keen consumer of handbags.

The salads and coffee are essential purchases to fulfil a need of not being hungry or

thirsty or tired. And the handbags. I don’t actually need any more bags. Each year

I say I won’t buy any more, but that year hasn’t quite happened. The handbags are

fun, make me smile and the whole process of selection and purchase is hedonic. So,

I am a hedonic consumer (see Key Term).


For a full history of consumerism, Steven Miles (1998) has a useful book: Consumerism –

As a Way of Life.

In the Journal of Consumer Culture, George Ritzer and Nathan Jurgenson (2010) wrote ‘Production,

consumption, prosumption’, which also described the evolution of these phenomena.

There are many excellent journals relating to consumers which you can explore online via

your university library system, including: Journal of Consumer Behaviour, Journal of Consumer

Culture, Journal of Consumer Marketing, Journal of Consumer Psychology, and Journal of

Consumer Research.


But the handbags offer a utilitarian benefit too (see Key Term). They store stuff. I

have different bags for different events with specific utilitarian benefits. If it’s a train

journey, I take a bag with a cross-body strap as it’s less hassle getting on and off

trains. If it’s a plane journey, I take a bag with a strong zip so everything doesn’t fall

out at the security checks. If it’s a day at the university, I take a big open bag to hold

the water bottle, books and other student paraphernalia. These functional attributes

are utilitarian benefits whereas the amazing handbag shape, the designer, the colour

and the materials are all hedonic benefits.



The Greek goddess Hedone represented pleasure and enjoyment and is the origin of the word

hedonism. Describing consumption as hedonic indicates that it provides delight. Hedonic

consumption is largely credited with having been placed on the marketing research agenda

by Elizabeth Hirschman and Morris Holbrook:

Hedonic consumption designates those facets of consumer behavior that relate to the multi-

sensory, fantasy, and emotive aspects of one’s experience with products. (Hirschman and

Holbrook, 1982, p. 92)

A hedonic consumer is thus a consumer who gains happiness from acquisition!

Utilitarian benefits have been described as the functional, instrumental and practical

attributes of the item (Chitturi et al., 2008).

For more on hedonic and utilitarian consumption see: ‘Pleasure principles: A review of

research on hedonic consumption’ by Joseph Alba and Elanor Williams in the Journal of

Consumer Psychology (Alba and Williams, 2013).

Michel Pham discussed consumer psychology, mainly concerning the way the research

has become detached from practice. He illustrated the scope of consumer behaviour

as being framed between consumer experience and consumer learning, which is

shown in Figure 2.1.

If we apply this in a digital context we might consider an online-only product, such

as online storage space. We are in an environment where we write reports, create

presentations, store images and collect content. All these online documents require

storage. You could store your documents on a PC, but the challenge is that you may

use different PCs or laptops – at home, at the university and in libraries. And what

happens if your main laptop breaks or gets stolen? That would mean your work was

lost too.

Thinking about the potential for things to go wrong, it is easier to rent some space

in the cloud.

The concept of ‘the cloud’ means we can access our materials at any time from a

remote or virtual computer, which enables ubiquitous computing (see Key Term,

p. 4).


Consumer Experience

Desire Acquisition Use/




Consumer Learning

• Problem


• Need arousal

• Deprivation

• Wants

• Wishes &


• Interests

• Tastes

• Search

• Shopping

• Selection

• Decision

making &


• Purchase

• Shipment/


• Gift

• Rental/leasing

• Borrowing

• Stealing

• Set-up

• Preparation

• Customisation

• Consumption

• Enjoyment

• Sharing

• Storage

• Maintenance

• Satisfaction

• Possession

• Collection

• Mental


• Discarding

• Re-using

• Recycling

• Reselling

• Donating

• Storing away

• Replacement

• Hoarding

• Consumption


Figure 2.1 The scope of consumer behaviour

Source: Pham, 2013, p. 414

Cloud storage options have expanded in recent years. Many people started with a small

amount of space in Dropbox that they rent with a free account. This is free-renting.

Dropbox’s aim was that as your storage needs increase, because you might hoard docu-

ments, rather than sorting out and deleting older copies, you will need to upgrade to

a paid-for plan. In this example, you never own the product, you simply rent, paying

either a monthly or annual rental charge.

This is an example of utilitarian consumption. You may not feel delighted subscribing

to Dropbox, but it is useful for online storage. Dropbox is trying to transform this into

a hedonic purchase with the idea of ‘gifting’ storage to a friend. I don’t know about

your friends, but mine would consider it odd if I gifted them online storage space!

There are alternatives to cloud storage. You could use external hard drives or USB

sticks. These could present the same issues as a hard drive. The Macbook or laptop

could freeze, may need to be completely re-set (return to factory settings) and I could

still lose the data.


The one area of material consumption that has completely transformed, from a traditional

acquisition of artefacts to digital consumption, is music. There was a time when people owned

vinyl records, then cassette tapes or CDs, whereas today very many of us don’t physically own

any music; we rent all the playlists we want via a monthly Spotify, Amazon or iTunes music


This can be described as ‘dematerialisation’, where we stop purchasing and owning material

items and instead rent or share (for more on digital music consumption, see Magaudda, 2016).


Imagine if that was a whole semester’s worth of work …

Other competitors to Dropbox are likely to be available to you right now. Your uni-

versity might offer OneDrive storage, Google offers Drive and Apple offers iCloud.

It’s all free storage space until you need more and it’s all online and accessible any-

where at any time.

The digital environment has provided consumers with access to more choice and

customer acquisition has changed, as shown in Table 2.1.

Table 2.1 Differences in customer acquisition for traditional and digital consumers

Acquisition steps Traditional consumer Digital consumer

Search High street or shopping mall,

items in magazines

We search online for products

We explore products our friends recommend on

social media

Shopping Physical visits to stores We use branded websites and comparison

websites to shop online

We use store apps for instant shopping

Selection See products closely and decide

whether to buy

We compare delivery times, costs, overall costs

We check reviews and ratings

Decision making

and choice

Decision making with fixed store


Based on ratings and ease of purchase we decide

and choose

We save items for later with ‘wish lists’

Purchase Involves queuing to pay One-click delivery systems, next day delivery,

delivery to lockers

Gift Requires additional effort to take

away, wrap, pack and post

Automatic gift options and reminders, purchase

from one address and delivery to another address

Rental Physically visit a store to organise

a rental agreement

We rent music, properties, cars and more, at the

click of a mouse


These changes in behaviour show our acceptance of technology, and back in 1989 this

was a major challenge. This was at a time when computers were being introduced into

the workplace, where there were difficulties in comprehending the benefit of these

devices. Your grandmother might have used a typewriter or even a telex machine.

Suddenly computers started to be introduced.

Businesses were having difficulty persuading companies to adopt this new technology

and Fred Davis, a researcher at the University of Michigan in the United States, was

exploring ways to predict system usage by testing the adoption of new technology

based on positive attitudes towards the perceived client benefit and the user experi-

ence. His measurement framework is called the Technology Acceptance Model (TAM)

(Davis, 1989) and it is shown in Figure 2.2.

TAM was originally designed to ‘explain computer usage behaviour’ (Davis et al., 1989,

p. 987), although more recently it has been adapted to measure the adoption of new


technology. The model considers positive attitudes towards two specific measures:

(a) perceived usefulness; and (b) perceived ease of use.

The origins of TAM can be found in the ‘Theory of Reasoned Action’ (see Chapter 10,

Building the Digital Marketing Plan), developed by Ajzen and Fishbein (1980). Davis

used this as the initial concept but wanted an easier model that could be applied

in the workplace. This feature is also one of the major criticisms of this model – its

simplicity, as it is seen as being too basic. TAM has been used by many researchers

in digital marketing who have added elements to make it more complicated and more

relevant to today’s environment. However, TAM is still recognised as a leading model

in explaining users’ behaviour towards technology and the original model continues

to be used and widely understood.

People accept or reject different technologies and Davis’ research explained that peo-

ple will use an application that they feel will help them perform their job better. This

was named ‘Perceived Usefulness’ and was originally suggested by other researchers.

At the same time, Davis stated, if the application is too difficult to use, the benefits

may be outweighed by the effort of using the application. This was called ‘Perceived

Ease of Use’. Davis explained that a TAM should discover the impact of external fac-

tors; and so the model starts with the external variables which could include items

such as individual or group training and user guides. The flow of the model is shown

in Figure 2.2 and this initial framing from the external variables contributes towards

the perceptions of usefulness and ease of use, which in turn lead towards the atti-

tude toward using the system. Finally, positive attitudes contribute to a behavioural

intention to use the system.





Ease of Use






Using (A)


Intention to

Use (BI)




Figure 2.2 Technology Acceptance Model (TAM)

Source: Davis, Bagozzi and Warshaw, 1989

The different constructs are measured through a series of questions to identify the

advantages, disadvantages and any factors associated with using the technology. It

requires some statistical input to take the model through to the final conclusion.

In his 1989 research Davis explored electronic mail (or email) and he asked

14 questions to assess the Perceived Usefulness and Perceived Ease of Use at a time

when it was more usual to use traditional mail. These are shown in Table 2.2 and

I have added bold type to the words electronic mail to indicate how these could be

replaced with another type of technology such as augmented reality, personal drones

or specific apps.


Thinking back to when Davis developed this model, many people were concerned

that computers would take away their jobs. The concern about email was that it

could replace the need for some letters and that people would not need secretaries

any more. This is partly true and what has really happened is that we have ended up

with a greater amount of communication instead of less and we have all developed

secretarial skills – typing correspondence, booking diary appointments and manag-

ing our contacts.

The issue is the fear of the unknown. We are witnessing this with the idea of robots

taking away other jobs. What is likely to happen is that robots will perform mundane,

repetitive tasks and employees in these roles will gain training to focus on other tasks.

Table 2.2 Initial scale items for Perceived Usefulness and for Perceived Ease of Use

Initial scale items for Perceived Usefulness Initial scale items for Perceived Ease of Use

1. My job would be difficult to perform without

electronic mail.

2. Using electronic mail gives me greater control

over my work.

3. Using electronic mail improves my

job performance.

4. The electronic mail system addresses my

job-related needs.

5. Using electronic mail saves me time.

6. Electronic mail enables me to accomplish tasks

more quickly.

7. Electronic mail supports critical aspects of

my job.

8. Using electronic mail allows me to accomplish

more work than would otherwise be possible.

9. Using electronic mail reduces the time I spend

on unproductive activities.

10. Using electronic mail enhances my

effectiveness on the job.

11. Using electronic mail improves the quality of the

work I do.

12. Using electronic mail increases my productivity.

13. Using electronic mail makes it easier to do

my job.

14. Overall, I find the electronic mail system useful

in my job.

1. I often become confused when I use the electronic

mail system.

2. I make errors frequently when using electronic mail.

3. Interacting with the electronic mail system is

often frustrating.

4. I need to consult the user manual often when using

electronic mail.

5. Interacting with the electronic mail system requires

a lot of my mental effort.

6. I find it easy to recover from errors encountered

while using electronic mail.

7. The electronic mail system is rigid and inflexible to

interact with.

8. I find it easy to get the electronic mail system to do

what I want it to do.

9. The electronic mail system often behaves in

unexpected ways.

10. I find it cumbersome to use the electronic

mail system.

11. My interaction with the electronic mail system is

easy for me to understand.

12. It is easy for me to remember how to perform tasks

using the electronic mail system.

13. The electronic mail system provides helpful

guidance in performing tasks.

14. Overall, I find the electronic mail system easy to


Source: Davis, 1989

In both cases, respondents rate the scale items which are subsequently ranked on a

‘highly likely’ to ‘highly unlikely’ scale, to deliver a statistically recognised measure.

The numerical analysis is great if you have access to statistical packages (and know


how to use them!) and if not, the model can be adapted and the questions used in

a survey format.

The Technology Acceptance Model is a good foundation to test the development of

new apps as it enables companies to create more useful and easier to use systems.

TAM was an antecedent of measuring user experience and the questions applied in

the original study are still valid today although they require some adaptation.

Activity 2.1 Application of the

Technology Acceptance Model

1. Think of a technology, an app or a device that has failed.

2. In Table 2.2 replace electronic mail with your selected technology.

3. Use the questions in Table 2.2 and score the items using a 5-point scale with ‘highly likely’,

‘likely’, ‘neither likely nor unlikely’, ‘unlikely’ and ‘highly unlikely’.

4. Analyse the factors: what is the overall perceived usefulness? And the perceived ease of use?

5. Which specific factors do you feel contributed to the failure of the technology, app or device?

6. Discuss with classmates.


Whilst we are more accepting of technology there have been other behaviours that

have evolved within a digital environment, including:

• Consumer power

• The rise of the prosumer

• Second screening

• Showrooming and webrooming

• Liquid consumption

These are discussed in the following parts.


The power has moved from company to consumer and we have seen an increase in

consumer power. Gillian Naylor, writing in the aptly named Journal of Consumer

Satisfaction, Dissatisfaction and Complaining Behavior, created a typology of con-

sumer communication in the digital age, shown in Figure 2.3. Its central focus is


how communications have moved from business to consumer (B2C) to consumer to

business (C2B) and consumer to consumer (C2C).





Company website

Company social

media site

Survey response

(online purchases,

bookings, check-



3rd party




88B, courts


Activists lrates

F2F social



F2F social


Social media


Social media







(-) WOM


Figure 2.3 Typology of consumer communication (C2B/C2C) in the digital age

Source: Naylor, 2017, p. 134

Naylor commented how ‘C2B and C2C Marketing communication is increasingly

played out in other media and in view of others’ (Naylor, 2017, p. 131). These shared

sentiments have given rise to different types of consumer power and she categorised

four types of consumer communications: voicers, activists, social networks (includ-

ing C2C) and irates.

Voicers can share opinions more easily via social media, instead of a binary consumer

to business route. Whilst activists can still seek redress from the courts for specific

remedies, their messages can be shared using hashtags and the cost of the legal fees

could be crowdfunded. Early social networks were considered by Naylor as friends and

family – we are not talking about Facebook here! So, in a pre-digital age, stories were

shared with co-workers, colleagues and other personal face-to-face networks (F2F).

Social media facilitated this content to be imparted to a wider audience online. This

model also considers word of mouth (WoM), from a positive and negative perspective.

The final group in Figure 2.3, irates, may have previously taken forms of direct action

to gain attention and ensure their point of view was heard. For example, students

could have marched, protested and organised demos to complain about specific

issues. Does this still occur or have social media campaigns become the new normal?

Naylor further described different types of communication methods such as phone,

letter, face-to-face (F2F), company website, social media and via third parties, and

within this the concept of user-generated content, noted as a way for consumers to

communicate and engage with brands. Chapter 4 considers the area of user-generated

content (see Key Term, p. 115) in more depth.



American futurologist Alvin Toffler is largely credited with creating the term ‘pro-

sumer’ in his 1980 book The Third Wave: The Classic Study of Tomorrow (Toffler,

1980). He combined the words ‘producer’ and ‘consumer’ to form ‘prosumer’, as

consumers had become producers of goods and services. There are many examples

of this, such as Wikipedia where individuals both add and consume content on the

site. This is one of the many reasons it contains errors – you or I can add content

that may or may not be accurate, true or relevant.

Other examples are user-generated content (see Chapter 4), where consumers post

images of products purchased, producing free advertising material for companies.

Case Example 2.1 Open Source

and the Prosumer

Most software sales models are based on a licence being sold. If you want to access Microsoft Office

or Adobe Photoshop, you need to buy a licence. You are a consumer, you pay your money and access

the product.

The opposite to this model is the Open Source movement, which advocates the development of

software ‘that can be freely used, changed, and shared (in modified or unmodified form) by anyone’

(, n.d., p. 1). The developers create and share free software and the rules state that

when you download it, if you adapt it to incorporate additional features you re-share it across the

Open Source platform. The software is still accessed by a licence, so you can be advised of updates.

This online community is self-managed and self-regulated so no one truly owns the software.

There are many competitors to Microsoft’s Office packages, including: Apache OpenOffice, LibreOf-

fice and NeoOffice. These packages may not have the full functionality of a full MS Office suite, but most

users only take advantage of a small percentage of the tools and they are popular with many businesses.


Second screening is also referred to as dual screening, media meshing, sofalising or

connecting media.

The concept is about watching a TV screen (or a programme via Netflix on your

laptop), whilst Facebooking friends on your mobile and using a tablet to search for

content mentioned on TV. This enables consumers to watch a programme whilst

searching for additional content about the programme and communicating their feel-

ings about the programme to friends – simultaneously.


See the paper ‘Who is on your sofa?’ by Doughty, Rowland and Lawson (2012).



The concepts of showrooming and webrooming first emerged in the practitioner

sphere and it took a while for academics to start exploring these ideas. This was

probably because the impact was greater in retail stores.

Showrooming involves searching in store and buying online:

Shoppers now frequently search for information in the store and simultane-

ously search on their mobile device to get more information about offers and

may find more attractive prices. (Verhoef et al., 2015, p. 175)

Webrooming involves searching online and buying in store:

The opposite of showrooming also occurs, which is now referred to as webroom-

ing, where shoppers seek information online and buy offline. In the past, this was

found to be a dominant form of research shopping. (Verhoef et al., 2015, p. 175)


A new concept of liquid consumption versus solid consumption has emerged, cham-

pioned and defined by Professors Fleura Bardhi and Giana Eckhardt (see Key Terms).



Liquid consumption: ‘ephemeral, access based, and dematerialized’

Solid consumption: ‘that which is enduring, ownership based, and tangible’

(Bardhi and Eckhardt, 2017, p. 582)

This is a step change, as previously consumption was simply consumption. Bardhi and

Eckhardt argued that the change has partly occurred with the increase in the digital

economy and that consumers, in some cases, place greater dependence on digital

access than physical ownership. Bardhi and Eckhardt also suggested that liquidity is

not to be celebrated and may be as a result of income, life situation and the ability

to move on quickly. Whilst this is a concept and has not been fully researched, one

area to consider is lifestages. Do people move towards fluidity as they age and start

to downsize and de-clutter? Is it only about lifestage or also point of view?

One other issue is digital clutter. It’s great adopting a fluid perspective, but how many

photos have you stored on Facebook? How many emails have you archived? As it is

easier to retain liquid possessions, do we ever review and remove, as we would do

with old clothing? What will happen to charity shops that feature heavily across the

UK high street if a generation moves towards liquid possessions? These shops, from


Cancer Research to animal charities, depend upon the acquisition of solid possessions.

This is certainly an area that requires more research.

Students often move between solid and liquid consumption. Some bring a carload

of possessions to university whereas others travel light, often due to necessity, with

a laptop, mobile phone and clothes. Those towards the fluid end of the scale can

access music and films online and their contacts and memories are stored in their

mobile phone.


A good star ting place is an academic paper entitled ‘Liquid consumption’ by Professors

Fleura Bardhi and G iana Eckhardt (2017), published in the Journal of Consume r



The online customer journey is the process customers take from searching for an item

to concluding with a purchase. This occurs offline as well as online and it is usually

considered as a linear process. According to Katherine Lemon and Peter Verhoef

(2016), this is in three stages, as discussed here:

• Stage 1 – Pre-purchase, where customers interact with the brand. There is problem

recognition, search and consideration which could include a login to LinkedIn

to check out a sales associate or the managing director or a look at the company

Facebook page to see what feedback is shared, or perhaps online searches on

review sites.

• Stage 2 – Purchase, which concerns all customer interactions during the purchase:

the online user experience, ease of purchase, delivery choices and confirmation

of delivery if relevant.

• Stage 3 – Post-purchase, which, according to Lemon and Peter Verhoef, comprises

behaviours such as usage and consumption – you bought it but did you use it? Did

you leave a review? Sign up for the newsletter? Share the purchase with friends?

Activity 2.2 Construct a Simple

Customer Journey

Assess your activity as an online customer. Consider a recent purchase and list your pre-purchase,

purchase and post-purchase stages.

See Template online: Assess the customer journey fundamental stages



But there are challenges! One of these is the terminology, because the customer

journey and the process of understanding the steps that customers take to complete

an action is described in different ways:

• Buyer journey

• Consumer journey

• Consumer decision journey

• Customer journey mapping

• User journey mapping

• Customer service encounter

• Customer experience (CX)

• Online customer service experience (OCSE)

• Path to purchase

• Service blueprinting

If you fast-forward to Chapter 9, Strategy and Objectives, you will see where I discuss

the McKinsey strategic model of the ‘consumer decision journey’; here I will explore

the differences and origins of these different terms.

Buyer journey

The buyer journey was one of the earliest phrases used, but considered the consumer

only as a buyer. We may primarily think of a customer journey as a visit to a web-

site to buy a product but, in some cases, no purchase is made because a customer

journey can be:

• Downloading a brochure

• Signing up for a newsletter

• Filling in a form

• Submitting information

• Registering interest or support

Buyer journey is more often used in commercial organisations where the goal is

simply a purchase.

Consumer journey or consumer

decision journey

The consumer journey or consumer decision journey was identified by the McKinsey

team, who developed a strategic model from the initial consideration set to the

post-purchase experience, moving away from traditional linear sales funnels (see

Chapter 9).


Customer or user journey mapping

Customer or user journey mapping is generally acknowledged to have been devised by

Barry Kibel in a book chapter where he suggested that results mapping could be used

as an approach for assessing the work of social, health and education programmes.

The process was to map, score, analyse and provide feedback about a programme

and the key factor was using a visual representation of the journey or process.

The journey starts with sharing the company name, through to registering for a newsletter.

This could be the journey that a student takes when checking out a firm for a placement.

In this example there are 12 steps, but they are linear. There can often be many more,

which include moving forwards and backwards in a messy and less ordered way.

When discussing customer journeys David Norton and Joseph Pine described them

as ‘the sequence of events – whether designed or not – that customers go through

to learn about, purchase and interact with company offerings – including commodi-

ties, goods, services or experiences’ (Norton and Pine, 2013, p. 12). The key here is

the concept of a sequence of events, regardless of whether the customer journey is

online, offline or multi-channel.

Customer service encounters

Customer service encounters were reviewed by Clay Voorhees and many of his col-

leagues, where they were keen to define the area in more detail (Voorhees et al.,

2016). Voorhees suggested that the difference between service encounter and service

experience was about the period of time the service lasted. An ongoing or continu-

ous service was an experience, whereas a specific service was an encounter. The

encounters were divided into three phases:

1. Pre-core service encounter – the time before the main service where the customer

engages with the firm and seeks information such as online reviews.

2. Core service encounter – the time at which the primary service is provided.

3. Post-core service encounter – the time after the service has been received where

the consumer reflects, assesses the service and may complete online feedback.

This definition is especially helpful for non-profit firms or government bodies, where

the aim is to gain information, submit forms or register details. The difference is the

idea of the service encounter rather than a sale.

However, this approach is similar to the customer journey described by Lemon and

Verhoef: there are three stages – before, during and after. Both are relatively sim-

plistic and linear models, although they work and are easy to apply, so are useful

places to start.

Customer experience (CX)

Customer experience (CX) has been studied by many scholars and there is no agree-

ment on what it means. It was defined by Chiara Gentile and colleagues, writing in


the European Management Journal, as ‘an evolution of the concept of relationship

between the company and the customer’ (Gentile et al., 2007, p. 397) and in the same

year, Christoph Meyer and Andre Schwager wrote in the Harvard Business Review

that customer experience ‘encompasses every aspect of a company’s offering – the

quality of customer care, of course, but also advertising, packaging, product and ser-

vice features, ease of use, and reliability’ (Meyer and Schwager, 2007, p. 118). Gentile

and her colleagues adopted a view of the customer relationship whereas Meyer and

Schwager took a pragmatic view of the whole product offer. Both definitions explain

customer service, from different standpoints.

Meyer and Schwager proposed differences between customer relationship and experi-

ence management and I have adapted their content, shown in Table 2.3, to focus on

the key factors they identified in customer experience management, as this provides

a good summary of key factors in customer experience.

Table 2.3 Customer experience management

What Captures and distributes what a customer thinks about a company

When At points of customer interaction: ‘touch points’

How monitored Surveys, targeted studies, observational studies, ‘voice of customer’


Who uses the information Business or functional leaders, in order to create fulfillable expectations

and better experiences with products and services

Relevance to future performance Locates places to add offerings in the gaps between expectations and


Source: Adapted from Meyer and Schwager, 2007

The work by Katherine Lemon and Peter Verhoef around the online customer journey

took place nearly a decade after Meyer and Schwager’s research. Lemon and Verhoef were

keen to build a picture of the body of knowledge in this area and investigated earlier

research into customer experience, summing up various definitions as ‘a multi-dimensional

construct that involves cognitive, emotional, behavioral, sensorial, and social components’

(Lemon and Verhoef, 2016, p. 70). The concept of a ‘multi-dimensional construct’ covers

many bases and ensures that the relationship and the product offer are combined.

Lemon and Verhoef provided a useful summary to explain what the research to date

had explained about the different topics within customer experience, and this is

reproduced in Table 2.4.

Table 2.4 What we know about customer experience

Topic What we know

Customer experience


• The customer’s dynamic external environment can have a significant influence

on customer experience

• Extreme crises can have a strong, negative and enduring effect on the

customer experience

• The economic situation (i.e. recession, expansion) influences the customer

experience across firms, and the drivers of customer experience may depend on

the economic situation


Topic What we know

Mapping the customer


• Service blueprinting can provide a solid starting point for customer

journey mapping

• Customer journey analysis should understand and map the journey from the

customer perspective and, therefore, requires customer input into the process

The multichannel


• Channels differ in benefits and costs, often making one channel more useful for

a specific stage in the purchase funnel than other channels. These differences

are, however, shrinking due to technological developments and diffusion of

new channels

• Customers differ in their preferences and usages of channels across different

purchase phases, and specific multichannel segments can be identified that

differ in terms of consumer characteristics

• Channel choices in the purchase funnel affect one another because of lock-in

effects, channel inertia and cross-channel synergies

The multidevice and

mobile journey

• Mobile device channels interact and may interfere with existing channels

• Mobile device channels offer new location-based, time-sensitive opportunities to

create firm-initiated touch points

• Mobile channels appear to be better suited for search than for purchase

• Mobile devices’ direct-touch interface appears to significantly influence the

customer journey

Customer experience


• There is not yet agreement on robust measurement approaches to evaluate

all aspects of customer experience across the customer journey; long-tested

approaches (e.g. SERVQUAL) may offer a good starting point

• Customer satisfaction and NPS perform equally well in predicting firm

performance and customer behaviour

• Transformations of metrics to account for potential nonlinear effects due to

theoretical notions, such as customer delight, are useful

• Customer feedback metrics focusing on a specific domain of the customer

experience (i.e. Customer Effort Score) are not strong in predicting

future performance

• Multiple customer feedback metrics predict customer behaviour better than a

single metric

Effects of touch points • When moving through the customer journey to purchase, customers use and are

exposed to multiple touch points that each have direct and more indirect effects

on purchase and other customer behaviours

• Although it is a complex and difficult endeavour, it is important to identify critical

touch points (‘moments of truth’) throughout the customer journey that have the

most significant influence on key customer outcomes

Customer journey and

experience design

• A seamless experience across channels through channel integration will create

a stronger customer experience

• The effect of an individual touch point may depend on when it occurs in the

overall customer journey

Partner and

network management

Internal firm


• When mapping and analysing the customer journey, it is critical to take the

broader service delivery system into account

• The benefit to the firm of taking a stronger role in the service delivery network

is to reduce uncertainty in customer experience delivery; this needs to be

balanced against the increase in costs and complexities associated with such an

expanded role

• As partner networks become more ubiquitous, choosing appropriate

governance models will be critical

Source: Lemon and Verhoef, 2016, p. 86, Journal of Marketing

Lemon and Verhoef mentioned three terms in Table 2.4 concerning customer experi-

ence which may need more clarification:

• SERVQUAL – a model for measuring service quality (see Parasuraman et al.,



• NPS – Net Promoter Score, which is a single-question survey asking customers

how likely they are to recommend the product or service, on a scale of 1 to 10.

The percentage of all scores of 1 to 6 is subtracted from the percentage of 9s

and 10s; 7s and 8s are discarded to provide a single score (largely credited to

Reichheld, 2003).

• Moments of truth – all points of customer interaction (largely credited to Carlzon,


See Template online: Analyse the customer experience

Online customer service experience (OCSE)

Online customer service experience (OCSE) is a newer concept, and writing in the

Journal of Services Marketing, Philipp Klaus from the ESCE International Business

School in Paris, created a conceptual model of online customer service experience

which was based on customers’ experiences with the online bookseller Amazon.

com (Klaus, 2013). His research identified 28 attributes, which were split into two

main areas – psychological factors and functionality, and these were supported by


The psychological factors included trust, value for money and context familiarity (how

close the experience is to an offline model).

The functionality elements are a useful checklist for overall website usability: ease of

use; communication; social presence; product presence (product images and descrip-

tions such as ‘look inside’); and interactivity.

The model is shown in Figure 2.4 and it may be that you think that this does not

include any surprises. However, it is the combination of the two areas that leads to

a better customer experience, which is similar to the initial descriptions discussed

earlier in this chapter, provided by Gentile and colleagues, who considered the psy-

chological factors, and it could be argued that Meyer and Schwager’s definition of

customer experience focused on the functionality aspect.

The OCSE model is another useful model for assessing the customer service experi-

ence and could be adapted as a checklist for business.

Path to purchase

Borrowed from computing terms, path data contains information about a user’s search

behaviour, interests and visits. In marketing parlance, the ‘path to purchase’ concept

is similar to a non-linear customer journey; the difference is trying to attribute the

elements or touch- points which have had an impact on the journey. Was it the email?

The pop-up offer on the website? Perhaps dark social (see Key Term) with a message

from a friend? If the specific steps can be correctly attributed this means that greater

investment can be made where needed.

Google, as a major seller of online advertising, was an early pioneer of sharing path

to purchase data and provides free access to aggregate data, to inform marketers

about latest trends and insights.


Online Customer Service Experience (OCSE)

Psychological Factors Functionality








with other




that a website

will act


openly and





price level,

low price




re�ects the


capability to









to feel


using the




reduces the







is the

assessment of

products in



to stimulate









the website

and its




re�ects the




with other


Figure 2.4 Online customer service experience (OCSE) conceptual model

Source: Klaus, 2013, p. 447

Digital Tool Google Path to Purchase

Google shares its aggregate data to inform marketers about shopping insights, trends and bench-

marks. To further explore shopping insights, go to:


Other academic researchers, Alice Li and P.K. Kannan, created a conceptual frame-

work for the path to purchase which combined the customer journey with stages

initiated by the firm to influence and direct the purchase (Li and Kannan, 2013). They

reviewed the channels connected to online purchases of high-involvement goods such

as consumer durables and travel services.

They used a linear model from the channels considered, which were identified through

search, so in the example of trying to find a flight, the consumer might search online

for flights and they may visit a firm’s own website, such as American Airlines or

British Airways, or they may use a flight search engine such as SkyScanner. If the

consumer goes backwards and forwards between the different sites, modifying their

search terms, to gain the best price, they are leaving a trail of cookies (see Key Term)


for the firms to add them to their online advertising campaigns. Ever noticed that

ad following you around when you’ve just looked at a website? It’s all based on your

online behaviour and this is the area that Li and Kannan explored further as ‘firm-

initiated’ behaviour. In some cases this may have been display ads, like the follow-me

marketing. But if a user responded to another channel, such as email, the firm may

have subsequently sent a nudge email to encourage the web visitor to return to the

website and complete their purchase.

Li and Kannan discuss the concept of ‘spillover effects’, which they explained as the

‘impact of prior visits through a given channel’ (Li and Kannan, 2013, p. 43). As an

example, I received an email that said ‘we noticed you left some things in your shop-

ping basket’ and I clicked on the email, to return to the website and complete the

purchase. The email has an impact on the final step in the path to purchase.


A web cookie is a small piece of data that is stored temporarily or for a period of time on your

device when you have visited a website.

There are two kinds of cookie: (a) session cookies, which are temporary whilst you are

browsing and do not store your data, and (b) persistent cookies, which remember who you

are. Persistent cookies remember usernames and passwords, automatically login to websites

and recall what is in your shopping basket.

Service blueprinting

Understanding customer journeys means understanding the process customers take

from identifying a need or desire for an item, to the conclusion and purchase. This

considers a single track, the customer view. Service blueprinting is another form of

process modelling but considers all the actors involved: the customers, staff, delivery –

any people or processes that contribute to the overall customer action.

In ‘Service Blueprinting: A Practical Technique for Service Innovation’ Mary Jo Bitner

(the professor who increased the 4Ps to the 7Ps) and her colleagues identified five

specific components for a service blueprint (Bitner et al., 2008), which are shown in

Table 2.5 with examples.

Table 2.5 Service blueprinting with examples

Service blueprint components Details Examples

1. Physical evidence Tangible elements with which

customers come into contact

Website, social media, email

2. Customer actions All actions taken by customers

as part of the process

See adverts, read social media

posts, order placing


Service blueprint components Details Examples

3. Onstage/visible contact

employee actions

Direct customer contact Email, online chat, social media


4. Backstage/invisible contact

employee actions

Non-visible interaction with


Order processing and management

5. Support processes Essential business services Uploading products to the database,

ensuring payment systems operate

Activity 2.3 Create a Service


Imagine you and your classmates are running a coffee shop.

1. Take five sheets of A3 paper and on each piece write one heading for each element of

the service blueprint: 1. Physical evidence; 2. Customer actions; 3. Onstage/visible contact

employee actions; 4. Backstage/invisible contact employee actions; 5. Support processes.

2. Split into five groups and identify the actions for each element.

3. Re-group and put the actions in order.

4. What did you learn?

5. How could using a service blueprint improve the customer journey?


Norton and Pine provided a detailed checklist which I have distilled into the key

factors and is shown in Table 2.6 (Norton and Pine, 2013, p. 14). This indicates the

best practice for developing customer journeys and adopts a strategic rather than a

tactical approach which will involve different departments working together.

Table 2.6 Aligning the customer journey and business strategy

Factor Explanation

Customers What do customers want and need and when do they need it? How can you

approach customers in a coordinated, cross-functional way?

Value proposition What do customers value – the product, the delivered service, the staged


Resources What resources are missing?

Channels How should disparate channels work together?

Revenue How do you increase revenue based on value created from the experience?

Cost structure How can you prioritize spending?

Technologies What technologies could enhance the experience?



The reason why we focus on customer journeys is to try to understand what works.

We attribute specific actions to specific results. For example, a promotional email

may result in a 10% uplift in sales. This type of activity can be tracked and correctly

attributed from start to finish. But this is a simplistic approach.

As we have seen in this chapter, consumers take different journeys when making a

purchase. They visit a website, then the social media, then they make a cup of coffee

and forget about the product. Three days later they think about the product again

and the customer journey continues. With the help of cookies (see Key Term above)

it is possible to understand what generated the final action. Therefore you can credit

which parts of the digital toolbox had an impact and correctly measure the market-

ing attribution. This makes it easier when allocating budgets to different aspects of

the toolbox.

One of the greatest challenges in the digital user journey is when the organisation

does not know how the customer arrived at the site – this is known as dark social

and is creating a headache for many analytical marketers (Cohn, 2013), so much so

that companies are having to find ways to address the issue (see Case Example 2.2).


Originally defined by tech editor Alexis Madrigal in an article on The, dark social is

when a new customer arrives at your website, but you do not know how they heard of you – the

source of the visit. They are invisible on your analytics data and therefore cannot be attributed

to a specific campaign (Madrigal, 2012).

Dark social happens when friends and colleagues share details via private channels such

as instant messages, text messages, email and message boards instead of sharing in wider

social media platforms. This means that there is no analytic data (to show the source) in the

click through to the website.

Case Example 2.2 Adidas

Combats Dark Social

Adidas, the sportswear brand, faced a challenge with content being shared on private social chan-

nels, which meant they were unable to connect with customer groups. Florian Alt, the Senior Director,

Global Brand Communications from Adidas Football, decided to address the issue of one-to-one

conversations via instant messaging by creating hyper-influencers.

Called Tango Squads, these communities of influencers gain first access to new content that they

can share amongst their friends and followers. The aim is to build experiences and products for the


target audience. It also means all content can be tracked, all visits can be measured, all expenditure

can be attributed and justified.

Alt noted that Adidas needed to listen to what these influencers were saying to understand what

type of content works for them.

The programme has been launched in 15 cities with 500 people that are known as ‘hyper-connected

football creators’. There is a dedicated web page for others to ‘join the squad’ (


The concept has risks as elements of the brand are being handed over to third parties who could

abuse the content. Alt has recognised that it is important to allow influencers to talk about the brand,

but important that Adidas does react to their feedback.

Challenges with the influencer programme revolve around measuring dark social as none of their

current systems could do this. Alt stated that as messenger platforms were built for people to com-

municate on a one-to-one basis, it wasn’t possible to track the conversations. Other difficulties were

legal issues such as data protection, but at the moment the community was effective for the brand.

Success will be measured by the number of cities where the Tango Squad is active, along with an

increased number of hyper-influencers sharing exclusive content.

Watch Florian Alt talk about the Tango Squad and dark social on YouTube:


Combating dark social

As shown in Case Example 2.2, Florian Alt at Adidas has found a way of addressing

dark social. Other methods of ensuring that your hard work can be tracked and cor-

rectly attributed include:

• Create short and memorable weblinks – instead of a web link like https://www.

html?mc_cid=207f13a57c&mc_eid=eb6ecee5ea you may create a vanity URL like


• Create interesting content and place it on your blog with links to products. If the

content is unique, you can track all orders from this.

• Include sharing buttons in unusual places – not just at the start and the end, but

mid-way through articles and posts.


In 1969, Harvard professor Stanley Milgram and his student Jeffrey Travers conducted

an experiment (Travers and Milgram, 1969) where they handed out 296 letters to

people in Boston and Omaha, Nebraska with an instruction to deliver them to one

person – a stockbroker in a place called Sharon, Massachusetts. They had to send

the letter to someone they knew, close to the target person, to see how many people

the letter had to go through to get there. There was no address on the envelope,

just the name of the target person and the town. The participants were given a pack

of information and told to send back a postcard to the researchers every time the

letter was passed on. Eventually 64 letters reached the target person.


The average number of postcards received was 5.2, so the number of degrees of

separation between one random person and many other random people was said to

be six. ‘Six Degrees of Separation’ was later the title of a play in 1990 by an American

playwright and later a movie. It quickly became a meme, as in an online world, we’re

all connected.

The idea of six degrees of separation is based on the concept of living in a small

world where everyone knows someone who knows that person. Social networks like

LinkedIn facilitate these connections. As an example, on LinkedIn I’m connected

to John Horsley, the founder of the Digital Doughnut which is a digital marketing

community – that’s one degree of separation. John is connected to Barack Obama – so

this means that I’m two degrees of separation from Barack Obama, former President

of the United States!

The first online social network was called Six Degrees, founded by Andrew Weinrich,

but it failed due to the technology and infrastructure back in 1997 (Heidemann

et al., 2012).

Smartphone Sixty Seconds® –

Degrees of Separation

• Use your mobile phone to log in to LinkedIn and look at the Vice Chancellor of your

universit y.

• How many degrees of separation are there between you and the VC?

• Who in the class has fewest degrees of separation between themselves and the VC?


As digital consumers our lives have become surrounded by online tools, technology

and systems – from the moment we wake until the day is over. Can you imagine a

world without Wi-Fi?

Governments and businesses are harnessing digital technology too. The European

Union publishes an annual Digital Economy and Society Index (DESI) and keeps a

scorecard of where European countries feature in terms of available connectivity,

digital skills, use of internet by citizens, integration of digital technology by busi-

nesses and digital public services (European Commission, 2017).

And now the digital genie is out of the bottle it’s difficult to give up our online lives.

As digital consumers, even if we adopt greater liquid consumption we’re unlikely to

give up second screening and showrooming.



1. Working in small groups, identify all online and offline steps in the customer

journey for (a) a food delivery app that you access via your mobile phone or

(b) a local coffee shop. Analyse where there are any possible difficulties and

make recommendations to address these issues.

2. Imagine you are responsible for introducing a new technology into university.

This could be a new payment system or a new library access system or something

else. Considering the users, identify three objections you are likely to encoun-

ter. Write robust responses to all the objections that could be used across social

media. Prepare a promotional one-page website to explain the new system.

3. Working in small groups, prepare a plan to complain about poor service from a

well-known brand. What steps are needed to gain attention from the brand? Be

aware that any comments that are untrue or malicious could result in legal action.


This chapter has explored:

• Digital consumers and the concepts of hedonism and utilitarian consumption.

• How the technology acceptance model can be applied to the introduction of new

apps, devices and systems.

• How changing digital behaviour from consumer power to prosumers, second

screening to liquid consumption, affects marketing.

• The key factors in constructing a customer journey have been addressed, with

many examples of the different terminology.





3 The Digital Marketing Toolbox 51

4 Content Marketing 95

5 Online Communities 125

6 Mobile Marketing 151

7 Augmented, Virtual and Mixed Reality 181





When you have read this chapter, you will be able to:

Understand the different components in the digital marketing toolbox

Apply the honeycomb model

Analyse website usability

Evaluate online PR

Create an SEO plan for video


When you have worked through this chapter, you should be able to:

• Construct successful emails for campaigns

• Use an email management tool

• Analyse a website’s usability and recommend improvements

• Create an SEO plan for video



In this digital environment, before getting out of bed and brushing their teeth,

Millennials are connected. They know the latest news, they know where their friends

are, they know what’s happening in their world. How much do they know about the

methods organisations can employ to harness this digital power for both positive

and negative purposes?

This chapter aims to enlighten you about the possibilities of what’s out there. At the

end of the chapter you may decide to switch off your mobile phone, pay by cash and

live completely off grid. But I doubt it.

In part, the digital marketing toolbox could be described as an online version of

Pandora’s box. The Greek myth claimed that once the box was opened evil escaped

into the world, but before all dark deeds left the box the lid was firmly shut, and

inside the box a good force remained; hope for the future. Online evil includes spam

(see Ethical Insights, p. 60), fake news, the abuse of social media profile data, cyber

bullying and trolling (see Key Terms, p. 82). The key is to be aware of all the pos-

sibilities and to do more good in marketing, as we will discover here.



Originally, digital marketing was called e-marketing, the ‘e’ being short for ‘electronic’

marketing and it was also known as internet marketing. Originally conceived by Sir

Tim Berners-Lee as a way of connecting computers to share data, the internet has

created its own ecosystem. We have expanded beyond internet marketing to a much

wider array of connected devices, hence the term digital marketing.

As digital marketing has evolved, it is still used for sharing data, but it has also

provided a rich set of tools, commonly referred to as the digital marketing toolbox.

This toolbox works for both individuals and organisations of all sizes. Whether you

are studying or working, the digital marketing toolbox allows you to discover, share,

manage and create information. This is a journey from information discovery to crea-

tion, or a digital information hierarchy.

How does the digital information hierarchy work for you? You might have an assign-

ment to develop a social media account and search online to assess whether Twitter

is better than Weibo or LinkedIn for this project. Browsing the internet, you find

many articles online that extol the virtues of different social media networks (infor-

mation discovery). Your friends have the same assignment and some are stuck, not

knowing where to start, so you send them some links to useful articles (informa-

tion sharing). As you start to discover more relevant articles and as your friends

start sharing more content you need a way to store all the information easily. In a

browser (Chrome, Safari, Firefox) you create a bookmark folder and name it ‘social

media #1’. Then you add all the weblinks as individual bookmarks to this folder and

also save your documents in the cloud (information management). This allows you

to easily return to each web page, months later, without remembering the name of

the individual web page, and to retrieve your content regardless of which computer

you are using or where.


Once you have gathered your data and made your decision, you can create a social

media account online and populate it with regular posts about how to set up a social

media account (information creation).

Digital marketing makes this information hierarchy much easier, but it hasn’t happened

overnight. To understand how digital marketing has evolved, I have adapted a timeline

based on a version created by internet education researchers Hooley, Marriott and

Wellens (2012), in Table 3.1. Their timeline did not include all the tools in the digital

toolbox, so I have added these and removed some of those less relevant to marketing.

This timeline is a helpful way to understand the evolution of different tools and you

will see that some of these were created in your lifetime.

Table 3.1 Development of the digital marketing toolbox

Year Digital tools Action Impact on marketing

1971 Email First email sent New skills needed to craft online


1989 Websites Demonstration of the World

Wide Web by Tim Berners-Lee

Not widely understood initially

1990 Websites Public release of the World

Wide Web

Companies initially created ‘online

brochures’ known as brochureware for

company websites

1990 Search


First search tool for the web

(Archie) was created

Opportunity to sell computers becomes a

realistic proposition

1993 Search


First web crawler (Wanderer)

was created

Businesses start to list product offers online

1993 Search


First graphical browser


1994 Search


Netscape browser launched

1994 Search


Development of first popular

search engines (Alta Vista,

Lycos, Excite and Yahoo!)

1995 Search


Internet Explorer launched

1996 Email Hotmail launched free email


Direct mail (postal letters) starts to decline

1997 Search


Google released Search functionality improves and search

engine optimisation (SEO) becomes a

marketing role

1997 Blogs First blog launched

(attributed to Jorn Barger’s

Robot Wisdom website)

As websites were cumbersome to

change, blogs became an alternative

communications tool

1997 Social


The first mainstream social

networking site, SixDegrees.

com, was launched

Businesses use data for online research

and opportunities to market to specific

groups online

2002 Social


LinkedIn launched Recruitment agencies realised the potential

of a large professional database; local job

ads start to decline



Year Digital tools Action Impact on marketing

2003 Social


Myspace launched Opportunities to promote products to

specific groups online

2004 Search


Mozilla Firefox web browser


Firefox offers ad-free browsing, so

marketers start to think more creatively

about online advertising

2004 Social


Facebook launched Companies create Facebook profiles to

connect direct with customers online

2005 Social media


Facebook launches first

social media advertisement

New skills needed to create short-form ad


2006 Social


Twitter launched Disintermediation develops as individuals

become their own PR consultants

2008 Search


Google Chrome browser


Google starts to become the default browser

and SEO becomes more challenging

Table 3.1 (Continued)

The impact of digital facilities has changed the way many organisations execute their

marketing campaigns. Newspaper and magazine advertising is at an all-time low and

letter writing has declined, although parcel delivery has increased. Business-to-business

exhibitions have reduced, with many taking place every two years, instead of annually,

as buyers can more easily search online for new ideas, products and suppliers.

First, we need to understand the contents of the digital marketing toolbox. Extracting

the tools from the timeline, I have created a visual representation of the toolbox, as

shown in Figure 3.1. There are seven digital marketing tools in order of when they

were launched to the world, starting with email and concluding with social media

advertising. The rest of this chapter will look at each of these elements, so that you

can better understand each of the toolbox components, create a digital marketing

plan and evaluate the different tools to use in your own projects.





Online PR










Figure 3.1 Digital marketing toolbox



Since its launch, email has become a powerful marketing tool. The technology research

firm The Radicati Group claim that ‘there are over 3.7 billion email users worldwide,

and this figure is expected to grow to over 4.1 billion by year-end 2021’ and they also

state that the ‘total worldwide email traffic, including both business and consumer

emails, is estimated to be over 269 billion emails per day by year-end 2017, growing

to over 319.6 billion emails per day by the end of 2021’ (The Radicati Group, 2017).

We all receive email daily, hourly and sometimes it feels like every minute! Students

receive emails from their university about module content, hand-in dates, events tak-

ing place, as well as reminders to return library books.

Thinking about why organisations use email, the purpose may be to: promote a brand;

nurture leads for the future; generate sales; or encourage engagement (such as liking

a page, leaving a review). This means that within a marketing strategy, email market-

ing can have specific, measurable and timed objectives for individual campaigns, but

what are the advantages and disadvantages of email as a marketing tool?


Aside from the purpose of email, it is an important marketing tool that provides

advantages to organisations as a method of communicating with customers. The Direct

Marketing Association explained the benefit of email (DMA, 2017):

Email remains the bedrock of digital marketing. It’s favoured by consumers and

95% of marketers agree that it continues to retain a very important place within


Reasons why email marketing is popular with marketers include:

• The email or content is delivered direct to the consumer’s mobile or desktop

and – unless it’s spam – it is not intercepted by a third party, as a letter sent to

someone in an office might be removed in the post room.

• The email process provides key metrics, so that you can see: who opened the

email; how many times they looked at the message; if they clicked on any links;

and whether they shared the email; if the email generated the required conver-

sion (such as a visit to the website, a sale, or the user sharing more details such

as an email address or company information). These metrics mean that every

single email campaign can be compared to understand what worked.

• Email is easy to share, as consumers can click on the forward button and send

immediately to a friend or colleague. How would I share a letter? I’d either pass

to a friend, or scan and email – that’s a lot of effort. Email takes the effort away

and simplifies sharing.

• Email can be tested so you can try to see whether image A or image B, or subject

line A or B, works more successfully. Email management tools can be automated so

that they send 10% of an email with subject line A and 10% with subject line B. Then

whichever is most successful – you decide what success looks like and this could be

number of opens, number of clickthroughs – is sent to the remaining 80% of your list.


Figure 3.2 shows an example of an email that is optimised for both desktop and

mobile, which means it is easy to read, regardless of device. It contains several calls

to action with detailed information as well as images.

Calls to action

Figure 3.2 Example of email marketing



Equally, there are disadvantages of email marketing, such as getting through all the

spam (see below, Ethical Insights).

Another challenge with email is producing relevant and regular content. Trying to

think of captivating headlines and finding words that trigger responses is nearly a

full-time role in some organisations.

Another factor is that email is often perceived as being ‘free of charge’ as there are

no immediate costs, as there would be if placing an advertisement. But this is not

the case. There are many resources required to deliver successful email, both direct

costs and indirect costs – such as people’s salaries to manage the process:


• Copywriters to create the headlines and content in the right style.

• Imagery may need to be commissioned or purchased online.

• An email software system, which might be free for smaller volumes of emails but

as soon as you send more than 2,000 emails a month, it can be chargeable.

• There is work needed to upload the content, add the correct list and schedule

the email delivery.

• Data controllers are needed – someone responsible for managing the data and

ensuring no rules are broken.

• Emails often send the reader to a specific web page or landing page. This means

some technical web help is needed to create these pages.

Another factor is numbers of email addresses. How many email addresses do you

have? The average person has at least two email addresses; one for work and one for

home. Students often have at least three email addresses; the one you set up years

ago with a funny name (but it’s now too embarrassing to share), your latest email

address as well as your student email address. Students are not alone in this, and

as consumers have multiple email addresses, the challenge is getting into the best

inbox – that’s the one that’s opened and checked most frequently.

Another critical challenge is the issue with safeguarding data, such as your email

address, name, address, purchasing history and possibly credit card data. Companies

have accidentally released personal information, resulting in big fines (see Key Term –

General Data Protection Regulation (GDPR) in Chapter 1).


Email can include planned emails and triggered emails.

Planned emails

Planned emails typically include daily or weekly updates to drive the recipient to

take action, such as reading a blog, booking a ticket or other conversion activity.

Many planned emails are prepared in advance and organised on a specific schedule.

Triggered emails

Triggered emails occur when an event or activity has taken place. This can include:

• Visiting a website, adding items to the shopping basket but failing to complete

the sale

• Filling in an online form to request a download

• Completing a sale

• Making a donation

Triggered emails can be dynamic or automated and built into customer relationship

management systems. For example, when a customer makes an enquiry a specific


email is sent. If they respond within three days, they receive the next email in the

sequence and if they fail to respond within 10 days a different email is despatched.


Having considered the purpose of email, its advantages and disadvantages, it is

useful to know why email works. In 2013, researchers María-José Miquel-Romero

and Consolacion Adame-Sánchez held focus groups to look at why email works and

they created a theoretical model, shown in Figure 3.3. Their model was divided into

three sections: antecedents (what happened before); action (what happened); and

consequence (what happened afterwards). Within antecedents they considered that

if you know who is sending the email (H1); have positive associations of the sender

(H2); believe there is some benefit in the email (H3); are feeling good when the email

arrives (H4); and are in a location where you can easily open the email (H5); you are

more likely to open the email! Phew! There’s a lot to consider.


Knowledge of the




conditions at the time

of forwarding email

Perceived content

value for others

The need for



Positive associations

to the source

Perceived content

value for the receiver

Positiveness of feelings

when receiving the email

Appropriate environmental

conditions at the time of

email opening











Figure 3.3 Why email works model

Source: Miquel-Romero and Adame-Sánchez, 2013

In the third part of the model, Miquel-Romero and Adame-Sánchez explored how

likely you might be to share or forward the email, which was based on three addi-

tional conditions: again, if you are in a location where you can easily open the email

(H7); if you think a friend or colleague might benefit from the email (H8); and if it

is perhaps a while since you have been in contact or just want to say hello, sending

the email may be useful (H9).

Logically the model makes sense. If you know the sender, it is less likely to be spam

and if it is from a favourite online store, you might be keen to open the email. And

whilst we think about the way we can reach people at any place at any time with


email, if you are on the train and it is a complicated message, you might ignore, save

until later (and perhaps forget) or simply delete; this is why the idea of ‘appropriate

environmental conditions at the time’ is relevant.

The theoretical model from Miquel-Romero and Adame-Sánchez acts as a useful

checklist before starting a campaign.

Smartphone Sixty Seconds® –

Opening Your Email

• On your mobile phone open your emails.

• Find an email that you opened that was sent to you from an organisation, perhaps where you

have bought something or made contact.

• Why did you open the email?

• Consider the why email works model shown in Figure 3.3. How many of these conditions were met?


The main steps in planning an email campaign are:

• Capture data with consent

• Add into email system

• Segment lists into relevant groups or personas

• Create winning subject lines

• Build in instructions – calls to action

• Create content

• Test to see which subject lines or images work best

• Measure the results

• Update the database

Examples of popular email software systems, which start with free options when

smaller numbers are used, or offer a free trial, include:,,, and These email management sys-

tems usually work via a wizard, with a step-by-step approach to creating an email


Here is a list of steps involved in creating an email campaign using an online soft-

ware system:

1. Create a name for your campaign. Pick something you will be able to understand



Ethical Insights Spam

Legend tells us that the use of the word spam to mean rubbish email came from the UK comedy

TV show Monty Python’s Flying Circus. In the programme there is a scene where a group of Vikings

drown out conversation by singing the word ‘spam’ over and over again, louder and louder. This is

an example of noisy and irritating behaviour.

The Oxford English Dictionary (Oxford Dictionary, 2017b) defines spam as ‘irrelevant or unsolic-

ited messages sent over the internet, typically to large numbers of users, for advertising, phishing,

spreading malware, etc.’

Joe Alder, who works in a social media agency in Australia, researched spam in more detail when

he was a student at the University of Derby. Joe identified the five types of spam that were defined in

2006 by internet researchers in the UK and the USA (Moustakas et al., 2006):

1. Junk email – bulk sending of unwanted commercial emailing.

2. Non-commercial spam – bulk sending of unsolicited emailing without commercial interest, such

as chain letters.

3. Offensive spam – bulk sending of mailings with ‘adult’-oriented or pornographic content.

4. Spam scams – bulk sending of fraudulent mailings with the intention to invade the privacy of

the recipient.

5. Malicious spam – mass mailings that contain malicious programming code such as viruses and



As we discussed earlier, the first time that websites appeared was in 1990. A handful

of companies created basic websites which were little more than static brochures.

Today there are over one billion websites worldwide (Internet Live Stats, 2017). The

challenge is, with over one billion websites, ensuring your organisation’s website can

be found amongst all those pages. Interestingly, in a digital age where social media

is controlled by the social media companies, websites are one element of the digital

marketing toolbox which are totally under the control of the organisation.

2. Who are you sending this campaign to? You need to add recipients.

3. Who is sending this campaign? Say clearly who this is from. This is usually a

person or a company name.

4. What’s the subject line for this campaign? The subject should be easy to under-

stand; make it too cryptic and it’s more likely to be deleted.

5. Design the content for your email which includes words, images and links to

web pages, if relevant. There is usually a selection of themes to pick, based on

whether it’s a mobile, desktop or html-only email.

6. Confirm the campaign is ready and set the date and time to be sent. It’s a

good idea to be available when the campaign is sent in case there are any



Websites exist for many reasons and can provide dynamic insights into organisations.

They can share:

• The aims of the organisation (about us)

• Who works there (our team)

• What they do (our work)

• Who they work for (our customers)

Shopping websites offer opportunities to instantly buy online which can be enhanced


• Multiple product images

• Videos showing different product views

• Verified reviews from happy customers

• Options for customers to message or chat online to customer service assistants

The key factors to successful websites are: a clear purpose and aim; an understanding

of their target audience; regular updates; and website usability. Let’s explore each of

these elements.


Website purpose is the reason for the website to exist and examples of different

websites are shown in Table 3.2.

Table 3.2 Website purpose and function

Website purpose Website function Example

An information site Provide information for existing and

potential customers

Government or traditional

manufacturing website

A repository of information or


Offer online records and resources Wikipedia

A shopping site Enable customers to browse and shop ASOS, Jack Wills, Superdry

A utility site Enable customers to perform a useful action Currency conversion websites

A customer service portal Signpost to a customer login area IT support services

Specific aims for commercial websites are based around business growth, whether

customer acquisition, conversion or retention (see Chapter 9, Strategy and Objectives

for more on this model), and may include:

• To acquire new customers

• To convert potential customers

• To retain existing customers


Website aims may also involve market development and product development strate-

gies (Ansoff, 1957), such as to attract new markets or to launch new products.

Non-commercial websites such as those providing a public service will have different

aims, often focused around changing behaviour, providing information and encourag-

ing participation. Typically these include health information websites (lose weight,

stay fit, stop smoking).



The website target audience may be centred around personas (for more on digital

personas see Chapter 4, Content Marketing) so that the website content, whether

words, images or video, ‘speaks to’ and is understood by the target audience.


Today, websites are much easier to update and you don’t need a degree in maths to

use many content management systems. Updates are a signal to search engines that

recent content is available to its searchers.


This concerns how easy a website is to use and this simplified term encompasses a whole

area of website usability, often known as UX. Dr Jakob Nielsen, a software engineer, is

largely credited with defining usability based on five quality components (Nielsen, 2012):

• Learnability: How easy is it for users to accomplish basic tasks on the website?

• Efficiency: Once users have learned how the website works, how quickly can

they perform the tasks?

• Memorability: When users return to the design after a period of not using it,

how easily can they re-establish proficiency?

• Errors: How many errors do users make, how severe are these errors and how

easily can they recover?

• Satisfaction: How pleasant is it to use the design?


Read ‘Usability 101: Introduction to Usability’ by Jakob Nielsen (2012), available from www. When you have read this, why

not select an organisation of your choice and analyse its website usability?

See Template online: Website usability analysis




So how do you create the perfect website, that can be found online? In 2000 an

American Professor of Marketing, Charles Hofacker, wrote a book in which he

explained how web browsers work. This was a time where websites were new ideas

and computers did not exist in most households. Many companies did not see the

benefit in websites and I remember companies saying ‘but we have a brochure, why

do we need a website?’

Hofacker’s audience was new to the internet and he created a model of how consumers

would process information online (as opposed to a paper brochure). This is known

as ‘Hofacker’s 5 stages of information processing’ (Hofacker, 2001) and addressed the

strategic issues to consider when creating a website.

1. Exposure: Ensuring the web visitor is exposed to the website for long enough

to absorb the content.

2. Attention: Physical factors such as movement and intensity that attract attention

when visitors are on a website.

3. Comprehension and perception: How visitors understand on-page content.

4. Yielding and acceptance: Ensuring the web visitors accept (believe, trust)

your information to get the visitor to stay on your site or proceed to the next


5. Retention: Getting visitors to remember and return to your website.

Today this would form part of the online user experience (UX) and applies to websites

and online ads. It’s a useful checklist for planning, creating and testing online adverts

(see section 3.6.3 Pay per click (PPC) or search engine marketing). Let’s deconstruct

the model.

Exposure is still a valid concept today and explains why many organisations place

the information you need most on the top of the page. Depending on the website

function, such as shopping or providing information, exposure means that you can

see what matters most to you, as quickly as possible.

For example, mobile versions of website pages show the menu, search function, saved

items and shopping basket all on the top line so there is no need to scroll down for

these items.

And it is not enough to hold you on a page; your attention is required! Hofacker was

interested in retaining your attention using physical factors such as movement and

intensity. Another researcher, Jonathan Steuer, wrote about virtual reality in 1992 and

talked about two technological dimensions that contribute to telepresence, vividness

and interactivity (Steuer, 1992) and these concepts are directly linked to Hofacker’s

attention stage.

Telepresence is about having some form of presence across a distance (‘tele’ is Greek

for ‘far’, so ‘far vision’ is television and ‘far voice’, telephone) and Steuer defined vivid-

ness as ‘the ability of a technology to produce a sensorially rich mediated environment’

and interactivity as ‘the degree to which users of a medium can influence the form


or content of the mediated environment’. (For more on vividness and interactivity see

Chapter 4, Content Marketing.)

Translated into our modern world, vividness is about the depth of imagery and

interactivity is about the use of animated GIFS, video content and interactive videos.

Go online and find a website mobile page which exemplifies these concepts. The

home page may contain many different examples of vividness, e.g. scrolling banners

(marquee) at the top with revolving messages and a range of different-sized images

in different colours.

After gaining exposure and attention, stage three is ‘comprehension and perception’,

which is concerned with how visitors understand on-page content. We often hear

the expression ‘don’t make me think’ and this applies to how people use websites.

Jackob Nielsen’s ‘learnability’ falls into this area too.

Many mobile websites include symbols or icons for shopping baskets and saved or

favourite items. These have become ubiquitous and are easily recognisable across a range

of websites. It is no longer necessary to have a guidebook to explain functions on a website.

Stage four, yielding and acceptance, is about trust in the site or the brand. The concept

of trust on websites has been a topic of much research interest by many academ-

ics. There are conflicting arguments about whether imagery is a key factor (see, for

example, Fone and Sarathy, 2017) or the structure and functionality of the website

matter more (Xiaojuan and Ling, 2010). Whilst there may be no definitive answer,

organisations like continuously adapt their website, changing landing

pages, imagery and calls to action, to see what works for their business.

The final stage, retention, is about memory retention and customer retention, as the

focus is encouraging visitors to remember and return to your website. We no longer

need to remember the website name. It is likely we may be re-targeted with ads

appearing for websites we have viewed after a visit where no purchase has taken

place or we may receive a triggered email about an ‘abandoned basket’. Plus, if there

is a good SEO strategy (see section 3.6.2 Search engine optimisation) it is easy to find

websites by searching for the products or services offered.


PR is a catch-all term that tends to represent both public, press and media relations.

This has evolved from the time of typing out, printing and posting news releases to

local papers, to an online system of identifying relevant news outlets and sharing

content; from meetings with key journalists to place important stories about the organi-

sation, to identifying online influencers and trying to manage the online message.

The internet and its worldwide access have enabled these changes and, as a result, the

lines between professional and consumer public and press relations have significantly

shifted, as we are witnessing:

• 24/7 news

• The internet as a news channel

• The rise of citizen journalists

• Fake news



Janis Krums (see Case Example 3.1) was probably the first recognised citizen journalist. Jayeon

Lee, writing in The Communication Review, commented that ‘ordinary people can contribute

to the process of news production and distribution as citizen journalists by promptly posting

and spreading what they know’ (Lee, 2016).

You too can become a citizen journalist! Take your smartphone, start watching the news

around you and share online.

Case Example 3.1 When Twitter Became

The Breaking News Channel with

A Citizen Journalist

On 15 January 2009, a US Airways plane crashed into the Hudson River in New York. Janis Krums,

who was on the rescue boat, tweeted the message ‘There’s a plane in the Hudson. I’m on the ferry

going to pick up the people. Crazy’ and took a photo which he uploaded to Twitter, via TwitPic, a

photo-sharing app, as at that time Twitter was not able to automatically add images.

The image went viral and from this time journalists realised that Twitter had become the place

for breaking news.


Case Questions

• Which social media channel do you use for news?

• Look back at your Twitter or other social network and describe a time when you ‘heard it first’

via social media.

• What did you do when you heard the news?

• Discuss in pairs and present findings to the group.

3.5.1 24/7 NEWS

Smartphone access brings us news updates for every minute of every day. Traditional

media outlets, such as the BBC, USA Today and The Times of India, all offer instant news

via their apps. There are also personalised news options. By selecting news aggregator

sites, it is possible to create your own personalised news feed, based on preferred web-

sites, specific themes and interests (see Key Term – news feed aggregators on p.80).

With the advent of news aggregators, news websites and social media sharing, the

internet has become a news channel. Combine this with the rise of citizen journa­

lists and public relations has become extremely public, on view for all, at any time.




Fake news has always existed, often during times of war and crisis, where it was better known

as ‘propaganda’ or ‘misinformation’.

During times of elections, such as the 2016 Brexit referendum in the UK and the US

Presidential election, many news stories emerged that were fake. The purpose was to discredit

the other side and influence voters. The issue with fake news is that it is of ten shared

quickly via social media and, as the stories can seem plausible, people believe what

they read.

A change in the development of fake news came in 2017 from the highest office in the

United States as an advisor to the President, Kellyanne Conway, used the phrase ‘alternative

facts’ during a Meet the Press interview that was discussing the crowd size at President Donald

Trump’s inauguration ceremony. Sources varied between claims of very small crowds to the

largest audience ever. Conway said it had been the largest crowd and that several news media

outlets were reporting ‘alternative facts’ (Bradner, 2017).

The website Wikitribune (, created by Wikipedia founder Jimmy Wales,

is trying to remove and reduce fake news through a news platform that combines evidence

and stories with journalists and communities working together.

Smartphone Sixty Seconds® –

Finding Fake News

• Using your mobile phone, go online and search for ‘fake news’.

• What appears?

• Any stories you thought were true?


Similar to all other elements within the digital marketing toolbox, online PR requires

an overall purpose, to clarify its use by organisations. The purpose might be to:

• Raise awareness – of an activity, an organisation, its work, its customers

• Generate engagement – from its potential customers, existing customers and

wider stakeholder groups

• Provide monitoring – to understand what is being said about the organisation,

whether the sentiment is positive, negative, mixed or neutral (see Key Term –

sentiment analysis)

• Manage responses – to good and bad news



Sentiment analysis is a review of the valence or tone of content. Typically the tone is classified

as negative, neutral, positive or mixed. Companies monitor mentions of their brand name,

hashtags and specific products.

This takes place on a quotidian basis or for specific events such as new product launches.

Definitions of sentiment analysis include:

• ‘Sentiment analysis attempts to identify and analyze opinions and emotions’ (Abbasi

et al., 2008).

• ‘Sentiment Analysis enables us to manually or automatically classify tweets with regard

to their emotionality, e.g. positive or negative’ (Bruns and Stieglitz, 2013).

One of the challenges in identifying sentiment is that the analysis is often conducted by auto-

mated systems, which fail to understand the use of sarcasm, humour and irony.

Case Example 3.2 United

Airlines Flight 3411

On 9 April 2017, Dr David Dao was flying from Chicago to Louisville, Kentucky. This is a short flight

lasting under one and a half hours. All passengers were on the airplane, waiting for the doors to shut

when the cabin crew said the flight was overbooked and volunteers were needed to provide seats.

The seats were not needed for other paying passengers, but for some airline staff who wanted to get

to Louisville. There are five flights on this route on most days, but the staff could not wait. Passengers

were said to be offered $800 in United Airlines vouchers, if they would take the next flight. There were

no volunteers, therefore, at random, the cabin crew selected four passengers, one of whom was

Dr David Dao. He said he could not take the next flight as he had patients waiting to see him. The cabin

crew were not happy about this, so requested Chicago Aviation Security to remove the passenger.

In the meantime, other passengers, many of whom became citizen journalists, started filming the

incident. The videos showed Dr Dao being forcibly dragged out of his seat and down the aisle. The

videos were uploaded to several social media channels.

Let’s explore the timeline of how United Airlines managed responses to the video.

10 April 2017

The United Airlines CEO sends a letter to his staff which is shared via social media. In the letter, he

commented that ‘the facts and circumstances are still evolving, especially with respect to why this


Larger companies may be using online PR for multiple purposes and within each area

they have an agreed set of specific objectives. For example, the beauty brand Dove

launched a campaign to promote positive body image via social media rather than

using traditional media such as television and magazine adverts.


customer defied Chicago Aviation Security officer the way he did’. He adds, ‘As you will read, the situation

was unfortunately compounded when one of the passengers we politely asked to deplane refused.’

It is also worth noting, that as many PR professionals will tell you, organisations are ‘leaky’ and

this letter was intended as a letter from the CEO to all staff. Yet someone in the staff decided to share

this via social media.

Sharing content with outsiders, or whistle-blowing, indicates ethical concerns within an organi-

sation and, according to researchers Culiberg and Mihelic, is ‘one way of drawing attention to

wrongdoings in business’ (Culiberg and Mihelic, 2016).

Some staff obviously felt strongly enough to share the letter via the media, which exacerbated the

overall situation, further worsening the brand image.

10 April 2017

Later the same day, a tweet is posted from the CEO to a public audience. Again, the CEO does not

apologise to the passenger, who we learn has sustained severe injuries.

11 April 2017

The next day a hashtag was created, which became so popular it started trending and appearing

across Twitter. The hashtag was #NewUnitedAirlinesMottos and many individuals developed alterna-

tive, very negative, mottos for United Airlines, including:

• If we cannot beat our competitors, we beat our customers @DHerkes


• We’re not happy until you’re not happy @eslgirl420


• We seat you, then we beat you @_ Jef f_Glenn_ Jef f_Glenn_/sta-


• Board as a doctor, leave as a patient @fanqin0619


These negative hashtags, known as bashtags, are not a new idea. The hashtag becoming a ‘bashtag’

was first mooted with difficulties that McDonald’s encountered when trying to generate positive PR for

their farmers (Kashmir Hill, 2012). They tweeted using a hashtag #McDStories and this was overtaken

with negative comments across social media, resulting in the company’s share price dropping.

As United had failed to respond with sympathy or an apology, the outrage grew and in public

relations terms, the situation was fast becoming a media disaster, consequently featuring as the top

TV and radio news story worldwide.

It was so badly managed it was as if the Four Rs of crisis communications – Recognition, Rehearsal,

Response and Recovery – had never been addressed. PR specialist John Moscatelli, writing in the

journal Public Relations Tactics, discussed the Four Rs and commented that ‘most people tackle crises

in a risk-avoidance or risk-reduction state’ (Moscatelli, 2015) and perhaps this was the intention behind

the tweet, where they mentioned ‘conduct our own detailed review’ rather than addressing the issue.

11 April 2017

On 11 April, the CEO issued a communication on United’s website to the ‘team’ and said, ‘The truly

horrific event that occurred on this flight has elicited many responses from all of us: outrage, anger,

disappointment. I share all of those sentiments, and one above all, my deepest apologies for what





Figure 3.4 Tweet from AdAge

Source: Twitter

Note the use of the word ‘sentiment’. Clearly the negative sentiment online is now visible to the

management team and they have decided to react, but returning to the Four Rs of crisis communica-

tions, the response has arrived too late and significant brand damage has occurred. The results of

this become visible within 24 hours, as the stock price drops.

11 April 2017

The next part of the saga, also on 11 April, saw the disclosure that Dr Dao had engaged two legal

firms: a top Chicago corporate lawyer, as well as an aviation specialist. Their statement revealed that

Dr Dao had sustained serious injuries and was indeed a patient in hospital.

12 April 2017

As the story unfolded, United Airlines’ stock value fell by 1.1%, taking $255 million off the airline’s market

capital. This is the time for drastic action and a press conference is convened. What’s interesting here

is that United reverts to traditional methods of PR – the press conference. Two internationally known

public relations scholars, Maureen Taylor and Michael L Kent, have written about the integration of

traditional tactics with online tactics during a crisis (Taylor and Kent, 2007) and although this was over

a decade ago, their article ‘Taxonomy of mediated crisis responses’, still explains all the steps to be

followed. Little of the advice was recognised by United.

United lurched from posting comments to Twitter, to adding material to its website. Rather than

following best practice and setting up a dedicated web page, the response was scattered over several

pages, demonstrating a lack of control over the message within the firm.


13 April 2017

The drop in the share price created the need for a press conference and the CEO issued a statement

confirming ‘We continue to express our sincerest apology to Dr Dao. We cannot stress enough that we

remain steadfast in our commitment to make this right. This horrible situation has provided a harsh

learning experience from which we will take immediate, concrete action’ (United Airlines, 2017b).

The language has changed at this stage and the first public apology, direct to Dr Dao, takes

place. We will never know, but I suspect at this stage additional board members stepped in with

some stronger advice and required a change in tone, from hostile to sympathetic. The earlier tone

of voice used by United Airlines failed to demonstrate any sympathy for, or offer apology to, Dr Dao,

yet the research tells us (see, for example, Gensler et al., 2013; DiStaso et al. 2015) that this is the best

practice. There is a fear that an apology might result in legal action, but it was clear in this case that

a law suit was imminent, as later that same day an image was posted on Twitter showing Thomas

Demetrio on the front cover of the magazine Super Lawyers, accompanied by a tweet from the Super

Lawyers, ‘if you’re curious about Dr. Dao’s lawyer, Thomas Demetrio from @CorboyDemetrio, check

out our 2009 feature on him’.

14 April 2017

A news story appeared as United Airlines issued a staff bulletin declaring that ‘passengers take priority

over staff’ in over-boarding situations. This is a dramatic policy U-turn in only five days.

27 April 2017

Eighteen days later, Corboy & Demetrio, the lawyers for Dr Dao, issued a statement: ‘Dr David Dao

has reached an amicable settlement with United Airlines for the injuries he received in his April 9th

ordeal, which was captured on video and viewed worldwide’ (Corboy & Demetrio, 2017). This is the

response and a move towards recovery in the Four Rs of crisis communication, but it has taken far too

long and, as a result, United Airlines had to make sweeping changes to their business operations,

which were revealed later the same day.

27 April 2017

United issued a press release on its website entitled ‘We are making changes to ensure that we

always put customers first’ (United Airlines, 2017a). This included a two-minute video from the CEO

which included the words ‘shameful’ and ‘shocking’, along with a commitment to change.

Whilst the agreement and financial details remain confidential, the story is unlikely to have ended

here. The volume of tweets and the way the social media posts have become ‘legacy content’, stored

in Google and other search engines, means that it could take years for United Airlines to recover from

this crisis and repair significant brand damage.

Case Questions

• Evaluate the strengths and weaknesses of the approach taken by the CEO.

• How could you prepare for such a disastrous event?

• What actions would you take as the event unfolded and negative online comments started?

• Work in groups of three to five to explore what options could have been taken and make rec-





Choice of publication channel is a major component in how news is reported and

shared, as well as how organisations manage public events. Organisations can share

news via their own websites, via social media channels and also via news-sharing sites.

Whilst journalists can access news-sharing websites, they can also proactively find

stories using the hashtag #HelpAJournalist on Twitter. Citizen journalists are posi-

tively encouraged to contact reporters directly about their stories and experiences

with organisations.

The most recognised news-sharing sites include:, mediawasp.

com and These websites are online sources for news stories. They

often capture and elicit information via social media, sometimes providing a free

service to journalists. They generate an income by charging PR companies to place

their news stories.


The major worldwide search engine is Google, which gains over 80% of desktop

global searches based on various sources (Net Market Share, 2017; Statcounter, 2017;

Statista, 2018). Other search engines with smaller market share include Bing, Yahoo!,

Yandex and Baidu.

Search engines automatically crawl through websites to generate a sophisticated

database of content using ‘robots’ and ‘spiders’. The content is stored and returned in

microseconds when people search online. The pages which are shown to the person

searching are called Search Engine Results Pages (SERPs) and usually show websites

or specific web pages relating to the search, known as ‘landing pages’.


Search marketing, originally called ‘search engine marketing’ by Danny Sullivan

who started a website dedicated to search engines, called ‘Search Engine Watch’

(Kritzinger and Weideman, 2013), is the practice of improving an organisation’s

place in the search engine results. The words used by the person searching are

called keywords or key phrases and these can extend to whole sentences, not

just a few words.

Some search engines automatically complete the search terms, based on a combina-

tion of predictive text, your past search history and what other people are seeking.

With over one trillion searches on Google each year, Google has become the

dominant search engine in Europe and the United States. ‘Google now processes

over 40,000 search queries every second on average, which translates to over

3.5 billion searches per day and 1.2 trillion searches per year worldwide’ (Internet

Live Stats, n.d.).

We are also aware that many searches are unique. When people looking for an item

on Google don’t find it on page one, they rarely look at the next page or the one


after that to find the answer. Instead, they refine their search phrase. This means

that consumers have become more sophisticated in their personal search strategies

and with so many searches taking place, organisations are keen to ensure that they

feature higher up the page in the search results.

How search engines rank content

Search engines decide which pages to rank higher on the page based on a mathemati-

cal formula, or algorithm. These algorithms are closely-guarded trade secrets and

whilst there are companies that offer to ‘get your business to the top of Google’ this

is not a realistic proposition as the Google algorithm is said to change incrementally,

at least once a day.

What is known is that Google rewards content that is recent and relevant. The concept

of ‘recent’ considers the newness of the content, as older content is viewed as dated

and less important. The notion of ‘relevance’ is based on how closely it matches the

search terms. Search engines identify a series of relevance signals, such as matches

to the search terms, whether the terms feature in other parts of the web page, such

as in images, headings and the main content.

There are two aspects to search engine marketing: (a) search engine optimisation

(SEO); and (b) search engine marketing (SEM), also referred to as pay per click (PPC).

These are discussed in the following sections.


The practice of improving an organisation’s place in the SERPs using organic or free

methods, is called search engine optimisation, usually abbreviated to SEO. This can

be achieved by what’s called on-page SEO and off-page SEO, which I will explain here.

On-page SEO

On-page SEO concerns the content on the web pages, the speed of delivery and the

accessibility of the web page, whether viewed on a desktop, tablet or mobile device.

On-page SEO is why the content on a page is so important. Web content comprises

many different items, such as: words, images, video, headings, as well as ‘tags’ and

data. Tags are indicators of content importance and can incorporate searchable words.

Most websites include space within a web page to add the tags. These tags can be

considered as keywords, categories of content and words that help to index the

page. SEO data tags include meta-descriptions, meta-tags and on-page headings (see

Table 3.3). These can be added to the page and contribute towards the way search

engines index the pages. As noted by Gudivada, Rao and Paris (2015), over time the

importance of different aspects of on-page marketing has increased and decreased.

Websites are written in code and a popular code is HTML – hypertext mark-up

language – and we will see examples here of HTML. Meta-descriptions are the snippets

used by search engines in their results pages – the pieces of text displayed online.

The HTML code includes indicators for the search engines to show the different data

tags, as shown in Table 3.3.


Table 3.3 Examples of HTML code

Code item Details Example

Meta description


This is placed in the head

content of the relevant

web page

Online Community. Discover how to build an online

community through the four steps from identifying your

goal to selecting the platform.”>

Meta tags On-page headings are

arranged in priority order.

Google ranks title tag as the

most important and then

heading 1 above heading 2

Title tag looks like this:

Building an online community.

Heading 1 tag looks like this:


build an online community?

You will see that each tag is enclosed in and the tag is closed with a slash /

before the tag word.

Website tools like WordPress include pre-set boxes where the code is added automati-

cally. To learn some code, see Digital Tool: HTML code websites. (See also Figure 4.1

From keyword to long-tail keyword.)

Digital Tool HTML Code Websites

When I started coding I used Elizabeth Castro’s book HTML for the World Wide Web, which is now very

dated, but still valid! There are more resources online, such as these digital tools:



Website speed is another critical issue, as Google may be able to access how quickly

(or slowly) a web page is presented to the viewer. The speed of delivery, or page

loading speed, is a factor in whether or not a visitor waits for the page to open or

goes elsewhere.

Website accessibility has become more important and this involves how easy the

web pages are to access, regardless of whether on a desktop computer, laptop, tablet

or mobile device. Many websites were designed for desktop computers, although

consumers access them via mobile phones and are unable to read and therefore

access the content. Google rewards accessible websites in preference to those with

less accessibility.



Read ‘Understanding Search Engine Optimization’ by V. Gudivada, D. Rao and J. Paris (2015)

in the journal Computer.

There are tools to check website speed, performance and content, which contribute to

the on-page SEO. Here are a couple, and to get started you could visit one of these sites,

copy and paste a web address (its URL, which stands for Uniform Resource Locator) and

watch the results!

Off-page SEO

Off-page SEO relates to methods of mentioning the web page in other places. Typically

this includes an organisation’s social media pages, a Wikipedia page (if they have

one) and any website links on other web pages. The aim of these web links is to

drive traffic back to the organisation’s website.


Figure 3.5 ASOS off-page SEO



So how does it work? You need to find relevant pages to add content, so this might

include a directory or local web portal. It may be that social media pages, using the

organisation name, are needed too. Just search for a company name and see what results

appear. Look at the example in Figure 3.5 of the ASOS off-page SEO. After showing

its website, the next entries in the search engine are Twitter, Facebook and Instagram.

Whilst other off-page SEO is achieved through adding links to the web page on rel-

evant directories, these might be fashion directories, or with a company like GAME

it might be gaming links. However, the links should be relevant to the website and

the use of link farms should be avoided. As companies realised that Google rewarded

external links, many sought to gain as many links as possible. This resulted in the

creation of ‘link farms’ where many single-page websites were established and com-

panies were sold 100 links for just $25.

The issue was that many of these links were totally irrelevant and not a measure of

website quality, just a count of the number of links they had achieved. When moni-

toring search engine behaviour, Google realised what was happening and stopped

rewarding those showing irrelevant and spam links. This had a negative impact on

many websites, which suddenly disappeared from Google’s search results until they

removed the irrelevant links.



Whereas search engine optimisation focuses on organic, natural or free optimisation

of webpages, search engine marketing involves payment and is also known as ‘pay

per click’ or ‘price per click’ marketing (PPC), or more recently, paid search.

As search engines deliver results based on search terms, they also include adverts for

organisations providing the searcher’s request. One way to achieve the top position

on a Google page is to buy adverts. The adverts are sold on an auction system, so the

organisation that pays most has a better chance of gaining the top place on the SERP.

The original advertising model on search engines was to ‘pay per click’ where the

organisation was charged for each ‘click’ when someone searched for an item, found a

result and then clicked onto an advert to be directed to the web page. Search engines

have since created a range of different advertising payment options, with varying

advantages and disadvantages, which are based on auction models. This means that

the more in demand the keyword or key phrase or target audience is at that time, the

more expensive the click, view or follow. Search engines also consider other factors

such as the content on the landing page, the standing of the organisations bidding

for the keywords and the quality of the advert content.

Let’s look at more on each of these advertising models (and see also section 3.9.3,

Social media advertising bidding options).

Cost per thousand (CPM)

CPM is a historical term, for cost per mille, which means the cost per thousand impres-

sions. So, as soon as your advert has been shown one thousand times, you are charged.


This was initially the main method of advertising and is often used for brand aware-

ness campaigns. The downside of CPM is that your advert might be shown to the

wrong audience who cannot afford the goods, or do not have the interest being

promoted, but you are still paying when they see the ad.

Cost per click (CPC); also pay per click (PPC)

CPC is one of the original methods of buying advertising online. Your advert is shown

to the target audience based on the keywords and key phrases that you use and if

they click on the advert, you are charged.

CPC is the antidote to CPM, and although your ad is shown to a wide group of people,

you only pay when they click on the advert. This allows you to automatically exclude

the wrong target customers. This means that if you are promoting luxury holidays,

you target those whose interests include luxury brand names and perhaps add in an

approximate cost, to put off those where it is outside their budget.

Cost per action (CPA)

CPA is a newer method of advert buying and mainly takes place on social media, which

has the advantages of being a results-orientated approach. Your advert is shown to

the target audience and they might click on the advert, but until they take a specific

action such as a website conversion, you are not charged.

Website conversions include:

• A sale, i.e. a purchase added to a shopping cart or a donation on a charity site

• Providing email data for registration or an email list

• Video view

• Social share, like or follow

The CPA method works because you allow a piece of code, called a pixel, to be

placed on your website. The pixel tracks the customer journey from start to finish

and advises the social media platform when the agreed action has been performed.

Typically, when a customer buys a product online, or registers for a newsletter, the

last action is the ‘thank you page’ which is displayed after the order or request has

been confirmed. This page has a dedicated web address (the URL) which only appears

when the action is completed. This is the page that the pixel can track.

Cost per view (CPV)

As the name indicates, cost per view is designed for video adverts where individuals

view a video clip. How does it work? Your video ad is shown, on a video platform.

Often this is on platforms like YouTube. Before you see the video you want to watch,

you are shown an ad, with the message that you can ‘skip the ad in 5 seconds’.

To add value to the advertiser, the viewer has to:

• Watch at least 30 seconds of the video advert


• Or watch the whole advert if it’s shorter than 30 seconds

• Or engage with your video, by clicking a call to action such as ‘order now’, ‘learn

more’, ‘visit website’

The most expensive keywords

According to an author on Search Engine Watch (Lake, 2016a), the top three most

expensive keywords in the United States were:

1. best mesothelioma lawyer

2. dallas truck accident lawyer

3. truck accident lawyer houston

I should add that these have been the most expensive keywords for many years! Only

those with mesothelioma would click on a CPC advert, whilst the rest of us might not

be able to pronounce it or even know what it is (a terrible cancer).

The same author on Search Engine Watch (Lake, 2016b) explains that the top three

most expensive keywords in the UK are:

1. play live blackjack

2. rolete

3. live blackjack

If you are wondering, number two in the UK is roulette, although it is mis-spelled,

as typographical errors are important keywords. Search Engine Watch commented

that ‘typos are regularly spotted in the top 500 results’. Who knew that the most

expensive UK keywords were all based on gambling!

Google Ads

Probably the best-known online advertising platform, Google Ads (formerly Google

AdWords), provides instant access to easily start ad campaigns. Like email marketing

software, the platform uses a wizard to help. This changes frequently, so search for

Google Ads to see how this works.

If the objective is to drive traffic to a website, after the URL is added, Google Ads

will show potential keywords and their monthly volume. Based on this, it provides

an indication of how much to bid. If you consider the most expensive keywords

(mentioned above), they will be available for in excess of $750 a click! If you are

managing the social media for a local firm of UK accountants, this could be £2.50

per click. The key factor is that this is an auction model; whoever pays most gets

further up the results page.

Pay per click or PPC is a complex and specialist area. Google provides a range of

helpful videos and online tutorials which contain the latest best practice. Visit the

Google Ads help centre ( which is a useful tool to understand

PPC. See also the Bing help site for ads (


Video adverts

Adverts are not all static words and images; they include video too. Video adverts

also require the addition of keywords, meta-data, descriptions and more details.

Choudhari and Bhalla (2015) recommend attention should be paid to the different

aspects of the video, including:

• Keyword research – explore YouTube keyword suggestions and ensure they are


• Video tags – keep the video name relevant to the keyword rather than using the

automatic naming function; they give an example where a ‘name like vo231232.

mov will create ambiguity’

• Title – this should include the keyword as this is where most engines will start

their search

• Description – this is about creating interest for the viewer, so avoid descriptions

about the place, time and date of the video’s creation which have no bearing on

the viewer

• Thumbnail – these are the frames from the video and are automatically created;

it is better to add in custom thumbnails

• Video transcript – the sub-titles of video content, which again is used by search



The effectiveness of online ads has been called into question, following a study where

eBay claimed no difference in web traffic when they stopped advertising on a large

search engine (Blake et al., 2015). This is largely connected to the power of the brand

name, as eBay is so well known that it may not need to promote its brand.

Based on this study, researchers Daisy Dai and Michael Luca experimented to see if

search ads worked using the Yelp recommendation platform. Their study involved 7210

restaurants who were randomly given free advertising packages, to assess whether

or not this impacted visits to their website. These restaurants were all smaller busi-

nesses, so in no way comparable to eBay, the largest auction site on the internet (Dai

and Luca, 2016).

The conclusion was that the advertising had a positive impact as the results demon-

strated paid search worked for smaller restaurants because they gained:

• Increased page views on Yelp (more on mobile)

• More map enquiries (where are you located?)

• More telephone calls

• More web visits

Do online adverts on search engines work? That depends whether you are a large,

well-known company or a smaller, local business!



When websites first became available, they were created using complex programming

systems, which meant that it was expensive to add new content to web pages. As a

result, many companies developed blogs outside their main website to share regular

and updated content, which mainly focused on company news. As many content

management systems evolved and free blogging programs were launched, these tools

enabled additional website functionality with the option of adding pages (rather than

just posts), categorising content, adding in custom designs and choosing either free

or paid-for hosting options.


Blogs can be free to set up and you can start creating content immediately. The cost

of blogs includes the time to prepare and develop the written content, licensing fees

for images and time to promote the content once written. There is also the emotional

cost of constantly trying to create new content to blog about!


Most organisations have a blog within, rather than outside, their website. This is a

strategic search marketing decision, as regular content within a blog page brings

specific benefits:

• Blog pages are recognised as being updated and news feed aggregators (see

Key Term) looking for web pages that end with the suffixes /blog or /news or /

rss can add the updated content to news feeds.

• Once the content has been created, it is always there.

• Older content continues to be found.

• Blogs provide more opportunities for keywords and key phrases to be included

within the blog post.

• Blog posts can be shared over and over and over.

• Blog posts can be updated, which signals the strength of a specific post to

search engines, such as Google, which can re-index or prioritise the post for


Two well-known examples of free blogging tools are Blogger, which was launched in

1999 and subsequently bought by Google in 2003, and WordPress, which started in

2003 and is said to be used as a website platform for over 15% of websites worldwide.

Newer blogging tools include and but beware that

Tumblr is often blocked as it permits unrestricted imagery and sometimes content of

an adult nature! Schools often block Tumblr, as do many companies.



News feed aggregators, or news aggregators, or feeds, are websites that collect content from

other websites, where there is a recognised news feed. To activate your personalised news

feed, simply select a news feed tool and add in the websites that you want to follow; you can

also include topics of interest and other websites will be suggested.

You can either pull the content, by visiting the news aggregator as required, or opt for a

push to your device to gain regular updates when new content appears. Many of these tools

also offer an app, allowing instant access via mobile devices.

Examples of news feed aggregators include:

• – Chimp Feeder, from the company that created Mailchimp.

• – Feedly, a long-established news feed website that allows you to group

content into specific themes (e.g. tech, digital, marketing).

• – Flipboard, similar to Feedly and popular with Apple users.


Researchers Angela Dobele, Marion Steel and Tony Cooper created a model of blog

success, as shown in Figure 3.6 (Dobele et al., 2015). Based on case study research,

this team looked at key success factors in corporate blogs and identified seven

issues: corporate culture, content, context, channels, connectivity, co-creation and

customers. They recommended that the blog content should echo the corporate

culture, so that the same message was communicated and was ‘firmly grounded

in context’ (p. 1100), which means that the context or topic should be relevant to

the target audience.

The channels also needed a connection to the content, as well as the audience, who

might utilise offline as well as online channels. This means ensuring the content

is appropriate for the channel used. As an example, a Twitter post, or short-form

content, requires a pithy approach, like a billboard advert. A long piece of con-

tent could be suitable for a blog post or the same content could be adapted for a

printed publication.

The links between different bloggers and channels described the connectivity and

the impact the blog content would have. So, if content is distributed to and seen by

a trusted network, it can be further shared amongst a much wider audience and gain

greater impact.

Co-creation within blogs allows customers to comment and start conversations with

each other and with the company, ensuring that customers can drive the content.

The single biggest challenge of using blogs is constantly creating new content. This

can be addressed through the use of a content calendar (see Chapter 4, Content






supports blog

activity by



events and




ContentCorporate culture Channels






News sites

Increasing perceived credibility





Figure 3.6 Model of blog success

Source: Dobele et al., 2015, p. 1098


Social media networks started in 1996 with the launch of the first mainstream social

network, SixDegrees, which allowed people to create profiles and invite their friends

to join (Kietzmann et al., 2011). An early pioneer of social networks, SixDegrees closed

in 2001 as too few people had internet access and the concept of online networking

was not widely understood.


The main social media platforms in the UK and the USA are considered to be

Facebook, Twitter, YouTube and LinkedIn. The first of these to launch was

LinkedIn in 2002, followed by Facebook in 2004, YouTube in 2005 and Twitter

in 2006.

Today Facebook has over one billion users, Twitter sees a billion tweets being shared

a day, YouTube claims over one billion monthly users and LinkedIn is approaching

half a billion members in over 200 countries.

Instagram launched in 2010 and Snapchat followed in 2011. Instagram has over

800 million monthly active users, Snapchat has over 300 million. Over time, social

media networks have attracted the attention of organisations, because of the growth

in the numbers of members and the ability for organisations to contact them and

target advertising based on user profiles. Social media has become a powerful


communication medium, where consumers can complain about poor service and

get much faster responses.



In a positive way, social media allows old school friends to connect, older people to

stay in touch with family members and friends to plan and organise events.

Different platforms help different people to:

• Stay in touch with friends and family (Facebook)

• Find the latest news (Twitter)

• Learn how to keep chickens and bake a cake! (YouTube)

• Promote your professional and personal brand (LinkedIn)

• Keep and view images of food and fashion (Instagram)

• Share ideas and themes (Pinterest)

• Discover presentations (Slideshare)

• Share funny images with friends (Snapchat)

There is a downside to social media, with people using it negatively and demonstrat-

ing online antisocial behaviour to bully others and troll online communities.



Researchers from a psychology department, Serkan Volkan Sari and Fatih Camadan, define

cyber bullying as ‘a deliberate, repetitive and permanent behavior pattern against a defense-

less victim mostly by an unknown group or individual through electronic environments such

as text messages, picture/video clips, phone calls, emails, chat-rooms, instant messages and

websites’ (Sari and Camadan, 2016).

Likewise, the act of trolling has been defined as being ‘a negative online behaviour intended

to disrupt online communications, aggravate internet users and draw individuals into fruitless

debate’ (Coles and West, 2016, p. 44).

Susan Herring and colleagues (2002, p. 375) provided three criteria for troll behaviour:

1. Messages from a sender who appears outwardly sincere.

2. Messages designed to attract predictable responses or flames.

3. Messages that waste a group’s time by provoking futile argument.


For more on trolls, including a typology of different types, read the article ‘Representations of

“trolls” in mass media communication: A review of media-texts and moral panics relating to

“internet trolling”’ by Jonathan Bishop (2014).

Cyber bullying and trolling (see also Chapter 5) are unacceptable behaviours and have

resulted in custodial sentences (Synnott et al., 2017). There is advice on how to tackle this unac-

ceptable behaviour on these websites:

In the future the concept of trolling may disappear, as Justin Cheng of Stanford

University and his colleagues are researching ‘Antisocial behavior in online discus-

sion communities’. Effectively, they are seeking trolls (Cheng et al., 2015) and their

research shows that it is possible to predict whether a user will be banned from a

community (not all trolls are banned) and also identify antisocial (or troll) behaviour.

So it may be possible to spot trolls and remove them from communities before they

do harm to others.


What’s the benefit for business of social media? Jan Kietzmann, a professor in Canada,

and two colleagues (Kietzmann et al., 2011) explored this and identified how social

media could be used and how this impacted business. They had identified that indi-

viduals were using social media to develop content yet firms were ignoring potential

business opportunities within social media due to a lack of understanding.

To explain social media to businesses, Jan Kietzmann and his colleagues created the

‘honeycomb model’, named due to its shape. These seven elements or ‘building blocks’

were intended to help managers in organisations understand their audience and

address their specific needs. Let’s look at the model and what this means in Figure 3.7.

Identity in social media

The central focus was identity and is concerned with the amount of personal identi-

fiers or information that is shared by users. Imagine you’re using Facebook. It knows

your name, age, where you went to school, who your friends are and your birthday.

That’s just for starters. As an example of how businesses could use this data, they

could organise advertising around your birthday (hold your birthday celebration at

our place! Or add this to your birthday wishlist!) or show adverts for films your friends

have watched and liked. Suddenly the data becomes useful and has a real value.

But some people use nicknames online, especially in Snapchat or Instagram, so you

become harder to track. But in social media platforms like LinkedIn, you will use

your real name, add your qualifications and your date of birth (even if that data isn’t

shared on the platform).



The extent to

which users

know if others

are available


The extent to

which users

relate to each



The extent to

which users

know the social

standing of

others and



The extent to

which users




The extent to

which users are

ordered or form



The extent to

which users


distribute and

receive content


The extent to

which users


with each other


Creating and

managing the

reality, Intimacy

and Immediacy

of the context


Managing the

structural and

�ow properties in

a network of



Monitoring the

strength, passion,

sentiment, and

reach of users

and brands


Data privacy

controls, and

tools for user




rules and





system and social




velocity, and the

risks of starting

and joining

Social Media Functionality Implications of the Functionality

Figure 3.7 The honeycomb model

Source: Kietzmann et al., 2011, p. 243

The issue is how companies use this personal information, and with the introduction

of GDPR (see Key Term – General Data Protection Regulation (GDPR), p. 19) this

may change.

Social media networks provide access to specific and distinct groups of people, due

to the data collected when users register, which may include: demographics, psycho-

graphics and webographics, which are explained in Table 3.4 with examples.

Table 3.4 Personal data available via social media pages

Data type What this is Examples

Demographics Personal and socioeconomic


Name, date of birth, place of birth, home town,

employment history, education details

Psychographics Attitudes, hobbies, interests Relationship status, family members, friendship

groups, religious affiliations, political views,

hobbies, preferred music, films watched, favourite


Webographics Online behaviour, devices used,

site usage

Facebook fan pages liked, comments added,

downloads performed, purchases made, actions

taken, devices used, operating systems.

Conversations in social media

Around the edge of the honeycomb model, the next building block is conversations.

This is about how users communicate with other users. This varies between platforms,

as on LinkedIn you are likely to be professional and courteous, whereas on Facebook

you could be as rude to your friends as you dare!


When you are having a conversation with businesses, you might be having conver-

sations about their products or services, either positively or negatively. This means

that firms need to monitor those conversations and respond accordingly. After all,

if someone was talking about you online, you would want to know what they were

saying! (See above, Key Term – sentiment analysis.)

Sharing in social media

The next building block is sharing and is about how users share content. We all see

funny memes (see Key Term – meme) on Facebook and sometimes we share and

sometimes we don’t. What makes us share? Kietzmann and his colleagues noted that

businesses needed to understand the common social networks used by their audience

and secondly to ensure they created content that was easy to share.


The word meme was coined by Richard Dawkins in his book The Selfish Gene (Dawkins, 2006,

p. 192). He described a ‘new kind of replicator’ as we are sharing more and more content. As

a result he sought a word to describe this ‘cultural transmission’ and started with the word

‘mimeme’, which was based on ‘imitation’ but he wanted a shorter word so abbreviated this

to ‘meme’, adding the comment ‘it should be pronounced to rhyme with “cream”’.

Presence in social media

Presence is a key element in social media and is also a building block in the honey-

comb model. A key constituent of presence is whether you decide to let others know

you are present. Some secret social networks such as Whisper and Yik Yak exist due

to anonymity. Yet on other social networks your real identity to confirm your authentic

self is key and also evolving.

On Facebook there was a time when you could use nicknames, but they created the

‘real names policy’ to force individuals to use real names rather than nicknames. This

caused considerable difficulty for people whose real names appeared to be nick-

names and Facebook subsequently relented, to a degree! Today you are encouraged

to use your real name and add a nickname where appropriate (Facebook, 2018). If

your name is not seen as authentic, or say you changed your name by deed poll for

personal reasons, this can create difficulties and you need to submit proof such as

legal documents to prove your identity.

On LinkedIn you can go one step further and let people find you with your real name

but also indicate that people you have never met can connect with you by indicating

that they are ‘open networkers’, which means they accept all invitations. I would not

recommend this as LinkedIn then becomes a business card competition (who has

most connections) rather than a trusted network of genuine people you have met or

had a conversation with.


Presence does not just mean letting people find you, it also means telling them you

are online right now. Facebook Messenger shows if users are online at that moment

and WhatsApp shows when you are active. Location check-in apps such as Swarm

also show businesses that there are possibly customers nearby. This means they

could organise specific offers to those on their doorstep such as ‘today we have new

clothing ranges in store’.

Relationships in social media

An important construct of social networks is relationships and how users are related

to one another, whether by association, or through sharing of objects or as friends.

There are different types of relationships: some formal or informal; some regulated

or unstructured.

LinkedIn shows the relationships via their degrees of separation. There are two con-

cepts here: tie strength (see Key Term) and degrees of separation (see section 2.5

We’re all connected), as within an online world it’s difficult to be without presence.

LinkedIn works on tie strength as people you have met once or perhaps twice might

reach out for a request to help and, within a professional setting, many people will

provide assistance. LinkedIn also exemplifies the concept of the six degrees of separa-

tion: as I mentioned in Chapter 2, it turns out I’m separated from former US President

Barack Obama by two degrees! This is indicated by the number under the photo.

LinkedIn has probably become the main reputation tool for professionals worldwide.

Reputation in the honeycomb model looks at how users can identify the social and

professional status of others. For example, LinkedIn encourages users to explicitly

demonstrate their professional standing by gaining recommendations and endorse-

ments. If you are untruthful about a qualification, this can easily be verified by others

who took the same qualification at the same time.


An American professor, Mark Granovetter, conducted research into ‘social networks’ back in

1973, which we describe as a pre-digital age. These were offline, rather than online, social

networks and he discovered that people were more likely to help a contact they did not know

that well (weak tie), more so than someone they knew well (strong tie), demonstrating the

strength of weak ties and the benefit of a larger network (Granovetter, 1973).

Reputation in social media

Social media content also has reputation. How many subscribers are on your YouTube

channel? How many followers on Twitter? How many likes for your latest blog post?

In an online world, reputation must be monitored, managed and measured to ensure

that the right content is being delivered and that relevant performance indicators

are being met (see Chapter 13, Digital Marketing Metrics, Analytics and Reporting).


Within business, reputation is demonstrating trust and authenticity to foster engage-

ment. Sometimes business gets this wrong, as happened with Pepsi Cola and Kendal

Jenner. The company piggybacked onto the ‘Black Lives Matter’ campaign for a video

advert and created a furore online as many people complained. Pepsi Cola apologised

and the video advert was withdrawn but not before it had been shared on YouTube

over 10 million times.

Groups in social media

The final building block on the honeycomb model is groups. How can users form

groups and sub-groups? There are many examples of types of groups in social media

that allow users to categorise their friends, fans and followers, for example:

• LinkedIn has hundreds of thousands of business groups and I suspect many are

empty and there should be an auto-close function if a group hasn’t been active

for over two years!

• Twitter allows users to create lists, making it easier to view content from a smaller

collection of other users.

• Facebook allows individuals to start groups of friends, for causes or for


• Facebook also enables the creation of separate groups for colleagues, family and


• WhatsApp allows you to build family, friends and work groups. The only difficulty

can be sending the right message to the right group!

Activity 3.1 Apply the

Honeycomb Model

Identify how you use social media using the elements in Figure 3.7 The honeycomb model and explore

whether you have single or multiple identities online, if you talk about brands online and so on. Then

on the opposite side, look at how businesses connect with or try to speak to you, using your social

media channels.

See Template online: Application of the honeycomb model



This enables social media to be harnessed for business purposes on many levels.

Table 3.5 shows the different utilities for social media and the elements where this

can be applied.


Table 3.5 The utility of social media for business

Utility Element

Brand • Extension of the brand presence

Communication • Facility to communicate to existing customers

• Method to speak with potential customers

• System for stakeholder communication

Customer service • Service for responding to customer issues

New products • Mechanism to crowdsource ideas for new products

• Platform to launch new products

Recruitment • Source of new staff

Research • Vehicle to find new markets

• Resource for finding new suppliers or services

• Tool to undertake research and investigate market size

Whilst social media platforms are free to access and it may be free for companies to

add content to them, reaching the target audience is more challenging. As an example,

Facebook typically shares organic posts with fewer than 10% of those that ‘like’ the

page. This means to gain attention from the audience, advertising can be required

(see Key Term – organic posts).


On social media platforms like Facebook an organisation can reach its target audience in two

ways: via (a) paid ads; or (b) organic posts. Your organic reach is the number of people who

saw the content, without you paying to promote it, as opposed to the paid reach – the number

of people who saw the post after you invested in advertising to share it.

Organic posts typically include unpaid updates that are not sales focused. If they

are too promotional, the social media platforms like Facebook are less likely to share

the content widely as they deem this to be poor quality content, unless of course you

pay to promote it!

They are often a simple text-only update or snippet of information, web link, photo, cartoon,

image, animated GIF or video, and these are simply added direct onto the Facebook page.



Many organisations seem to think that social media is free of charge. There are no

direct financial costs to set up a Twitter, LinkedIn, Facebook or Tumblr page. However,

there may be additional resources and associated costs, such as people to create con-

tent, licensing rights for re-using imagery, and production costs for creating video

and software to help deliver campaigns and maintain the pages.


Researchers Adam Mills and Kirk Plangger investigated the question as to whether

social media is free and noted importantly that there are associated costs, either setting

up the social media platforms or maintaining them with the addition of regular content:

Even though most social media have no priced fee to access the channel or set up

brand pages, online services managers may face significant resource investment

costs to ensure that the brand is presented in a professional light that maintains

the reputational integrity of the brand. (Mills and Plangger, 2015, p. 530)

To clarify the issue regarding free and the required resources, Mills and Plangger

looked further into online media and their aim was to establish a strategy for ser-

vice brands who were transitioning from an offline traditional environment, to an

online space.

They considered social media as an ‘avenue for customer engagement’ (p. 522) and

flagged the issue of which social media channels were appropriate, based on costs.

To that end, Mills and Plangger firstly grouped social media tools into four areas

and secondly created a simple matrix that considered both the setup investment and

maintenance investment, based on the type of social media. This is a useful framework

for considering the resources required for digital tools and is shown in Figure 3.8.

The four groups of social media were based on the primary functions of the sites

and consisted of:

• Blogs/microblogs

• Social networks

• Picture sharing

• Video sharing

The social media investment framework is based on (a) the initial set-up costs; and

(b) the ongoing maintenance. At the initial setup stage the investment was based on

a binary system of high or low, focused on the resources needed.

Picture sharing was seen as having a low set-up cost as it involved adding images to

a site. In the same way, blogs were also seen as being less demanding on resources

at the start. The start of a blog is a single post or a tweet in the case of a microblog.

This contrasted with resources required to establish a video-sharing site, as more

equipment and skills may be needed to organise a video.

Social networks were seen as needing more resources from the start as customers

may decide to engage with the firm and ask questions which need responses! This

could involve staff training, agreeing how to respond to messages and if it is 24/7 or

only in working hours.

The ongoing maintenance is viewed as highest with social networks for the same

reason: customers asking questions; regular content required; and a team to moni-

tor what’s being said. Mills and Plangger recognised that even blogs and microblogs

may need responding to daily and potentially contemporaneously. They felt that the

expectations of responding faster on video- and picture-sharing websites would be

lower, so these would be easier to maintain.


Picture Sharing

Key Example: Instagram

Low High

Setup Investment

























Video Sharing

Key Example: YouTube

Blogs / Micro-Blogs

Key Example: Twitter

Social Networks

Key Example: Facebook

Figure 3.8 Investing in social media

Source: Reproduced from Mills and Plangger, 2015, p. 530

Activity 3.2 Explore the

Cost of Social Media

1. Set up a professional Twitter account that represents your future work identity.

2. How much time does it take (keep a note of the minutes and hours) to set up a complete


3. Respond to all comments and followers over a 21-day period.

4. How much time does it take (again note the total time) to respond to comments?


Social media advertising or social media marketing is placing advertisements inside

social media networks. (See section 3.6.3 Pay per click (PPC) or search engine mar-

keting (SEM).)

In annual reports presented as legal documents to the New York Stock Exchange,

both Facebook (Facebook Inc., 2016) and Twitter (Twitter Inc., 2017) have stated

that advertising is their main method of income generation and Facebook has com-

mented in various annual reports that advertising accounts for over 90% of its income.

Advertising is widely available on most social media platforms.



There are two main reasons for the use of and growth in social media advertising:

(a) the move to proactive ads; and (b) algorithm change.

The move to proactive ads

Firstly, when social media networks started introducing adverts in 2005 with the

launch of Facebook ads, they provided an opportunity to reactively target people.

Previously, pay per click targeted people when searching for a specific term, whereas

social media advertising allows organisations to proactively target people who might

not have considered the product or service. For example, it is possible to create

adverts for:

• Women who were recently engaged, living within 50 miles of New York

• Students attending the University of Derby

• Couples who have moved to a new house in the last year

This is all due to the wealth of data that we share with the social media networks.

Algorithm change

The second reason is that you might have managed a Facebook page aimed at students

attending the University of Derby with 25,000 likes and when you shared a post at

least 15,000 of your fans saw this. This all changed in 2014 when Facebook decided

to limit posts to fans, under the guise of ‘reducing overly promotional page posts

in news feed’ (Facebook, 2014). This change in algorithm meant that this dropped

overnight from 15,000 to fewer than 250 people, in some cases fewer than 50 people.

Whilst social media networks don’t charge organisations to use Facebook, if they want

to promote their content, generally they now need to pay for adverts.

The growth of online adverts

As a result of this laser-focused targeting, many companies are moving their advertis-

ing from traditional print advertising to online and social media advertising.

According to the Advertising Association, the greatest change was in 2016 as total UK

ad spend grew to £21.4 billion, with online spending up by 13.4% to £10.3bn, that’s

48% of the total being spent across the UK. The remaining 52% is spent on TV ads,

newspaper ads, direct mail, out of home (typically poster sites), magazines and radio

(Advertising Association, 2017).



Whilst social media advertising proactively targets individuals based on their pro-

file and the depth of personal data, an initial disadvantage was that it only targeted


platform users, i.e. those who signed up to platforms such as Facebook. However, this

is changing as Facebook offers advertisers access to the ‘Facebook Display Network’,

which includes websites outside Facebook, so that advertisers can promote their

goods and services to a wider audience.

Another disadvantage is that the adverts on platforms such as Facebook may possibly

target your existing customers. Imagine sending a special offer for a holiday to an

existing customer who has just paid more, for the same holiday, by going direct to

the company’s website! However, it is possible to upload your customer database and

exclude current customers from advertising campaigns. This often takes place with

email matching, but be aware that this depends on the email address used with your

business as well as on Facebook – many people have far more than one email address!



Similar to PPC, social media adverts are paid for on an auction basis. This means that

the price you pay for an advert today may change in an hour’s time. These changes

take place in real time and are based on the number of advertisers wanting to talk to

your target audience. The main methods of advertising on social media are:

• Cost per thousand (CPM)

• Cost per click (CPC)

• Cost per action (CPA)

• Cost per view (CPV)

• Cost per follow (CPF)

We looked at most of these methods in section 3.6.3 above. An important additional

one to consider here is cost per follow (CPF).

Cost per follow (CPF)

Many organisations are focused on the number of fans, likes and followers they have.

This is because it looks good! A group of managing directors meet and chat about who

has the largest number of followers. I’d call this a vanity metric; it’s nice, but doesn’t

mean anything because your followers may not see your content – unless you use

social media advertising. See ‘Algorithm change’ in section 3.9.1 to understand why.

To respond to this, social media platforms encourage organisations to buy followers.

An existing piece of content, such as a post that has performed well, can be used as

the advert. This means it looks less promotional and has already been tested with a

wider audience. The posts are shown again to the target audience and you only pay

when someone clicks on the ‘follow’ or ‘like’ button.

One disadvantage of the cost per follow system is that there is no refund if you lose

followers and fans during the campaign. And beware! If you do buy followers, do it

the legitimate way, through the social media platform.


Video within social media is growing as a marketing tool, with younger generations

watching only video instead of terrestrial TV. The University of Oxford and Reuters

Institute have reported that there is a decline in the amount of time young people

spend watching television (Nielsen and Sambrook, 2016).

As video is becoming omnipresent it is already available on many platforms. There

are reasons for the growth of video and its importance in social media advertising.

The world has seen a dramatic increase in the use of smartphones. Smartphone

ownership is expected to reach 2.87 billion by 2020 (Statista, 2017a) and considering

the worldwide population is 7.5 billion, that represents nearly 40% of people in the

world. Ownership is much higher in some countries, like the United States where it’s

95% (Pew Research Center, 2017).

Snapchat changed the way video was watched, with its focus being vertical view-

ing, rather than having to tilt a phone. Another reason for the growth in video is the

increase in ‘snackable content’ (see Key Term).


Snackable content is short and attention-grabbing. Friedmann (2010, p. 307) explained it as

‘dispensable, instantly gratifying media content that is not just scaled down but maybe different

in style and flavour’. It has been further described as short-form and catchy content (Martin,

2014; Giliberti, 2016).

Use of data

Table 3.5 gave examples of personal data available via social media pages and there

are safeguards in place to ensure the data is aggregated, which means advertisers can

target groups of people. It is important that specific individuals cannot be targeted

for negative or malicious purposes.

Based on previous experience, such as identifying and negatively targeting specific

individuals, Facebook understands potential problems around advertising based on

targeted data. It also enables users to manage which advertising messages they see

from brands and has introduced the ability to ‘hide messages like this’. When this is

selected, Facebook asks users to ‘help us understand what’s happening’ and probes

with a further question ‘why don’t you want to see this?’, which enables a tick box

with options including:

• It’s not relevant to me.

• I keep seeing this.

• It’s offensive or inappropriate.

This contributes towards a ‘relevance score’ for brands, so they can better understand

what does and does not work within their targeted advertising on social media.


In Adverts Manager, brands can look at their relevance score, on a 1 to 10 scale, with

1 being low. The lower the relevance score, the more expensive your adverts are likely

to be as they are less appealing to users.

Activity 3.3 Digital Marketing

Toolbox Analysis

For an organisation of your choice, review the different elements of their current digital marketing

toolbox and make recommendations for changes.

See Template online: Application of the digital marketing toolbox


1. Construct a planned email to promote a new computer game or fashion accessory

being launched next month. The email is aimed at an existing customer base and

should include perceived content value for the receiver.

2. Using one of the blog tools described in this chapter, start a blog! Write a post

every week and see if others will contribute content.

3. Select a video of your choice in YouTube. Watch the video several times and based

on this create an SEO plan to make the video more visible in search results. Your

SEO plan should address several of these elements: keywords, video tags, title,

description, proposed thumbnail, video transcript.


This chapter has explored:

• The critical factors that make email work.

• How Hofacker’s 5 stages of information processing can evaluate websites.

• Key changes to online PR, from citizen journalists to fake news.

• The differences between search engine optimisation and search engine marketing

and what makes online ads successful.

• Why organisations create blogs, and elements to consider when starting a blog.

• The benefits and building blocks of social media networks and the bidding options

on social media advertising.




When you have read this chapter, you will be able to:

Understand the importance of long-tail keywords

Apply content marketing goals

Analyse paid, owned, shared and earned media

Evaluate content marketing

Create a content marketing strategy


When you have worked through this chapter, you should be able to:

• Identify and recommend long-tail keywords

• Create a content marketing strategy

• Construct a realistic persona



Content marketing is a cornerstone of all digital marketing. Whether it is words, pho-

tos, infographics or video, it is critical that organisations understand the strategic role

of content. Content can increase brand visibility, drive traffic to websites, help educate

and convert customers. Whilst not a new idea, valuable content can be charged for

and is more likely to be shared.

From reading this chapter you will understand how content marketing started and

comprehend what is involved in creating a content marketing strategy. At the end of

the chapter you will be able to create distinct personas so that your target audience

is focused, which is more likely to increase traffic to your site.


In 1996, founder of Microsoft Bill Gates wrote an essay where he said, ‘content is

where I expect much of the real money will be made on the Internet, just as it was

in broadcasting’ (Gates, 1996). This had been a recurring theme within the enter-

tainment sector and content is recognised as a cornerstone of all digital marketing;

from website copy to YouTube storyboards; from white papers to Twitter posts, it all

requires diverse types of content. This is known as content marketing (see Key Term).


The Content Marketing Institute defines content marketing as:

a strategic marketing approach focused on creating and distributing valuable, relevant,

and consistent content to attract and retain a clearly-defined audience — and, ultimately,

to drive profitable customer action. (Content Marketing Institute, n.d.)

As the Content Marketing Institute suggested, the purpose of creating compelling

content, on a consistent basis, is to attract, convert and retain customers. This has

been described as thinking and acting like a publisher.


Essentially, content functions in a multitude of ways:

Content increases brand visibility

Instead of reading a sales pitch, customers or potential customers may be reading

an article that provides advice or guidance, promoting the brand in different areas

outside its corporate website or traditional locations.


Content helps create backlinks for search

engine optimisation (SEO)

Good articles are often recycled by other people online. Have you ever quoted an

article or added a link back to a page about a certain subject? By adding someone

else’s article to your web page, you are creating a backlink that Google sees and it

acknowledges that the original content must have value to be added to another website.

Content encourages conversion rate

optimisation (CRO)

Clever content such as buying guides can convert browsers into buyers. If you are

visiting online retailers such as Sears in the United States or John Lewis in the UK,

you will notice with more expensive goods, such as those in their large appliance

category, they offer ‘buying guides’. This free online advice offers useful information

before a purchase takes place. A well-written guide can convert browsers into buyers

and offer greater reassurance about the company’s expertise.

Content inspires social shares

Have you ever shared an article on Twitter? Retweeted, liked or commented on content

created by someone else? Content can inspire social shares, especially where the content

is vivid and interactive (see below, Key Terms – vividness and interactivity on p. 123).

Digital tools make it easy to share content across social channels (see Digital Tool: Buffer).

Ethical Insights Content Farms

Google is constantly changing its algorithm and previously rewarded up-to-date and new content

on websites. The challenge was that organisations started to gamify their content and used content

farms to provide a steady stream of new content.

Content farms are companies that employ many freelance writers to create copy that works for

search engine optimisation (SEO) purposes. Its aim is purely to be found and registered on search

engines. The content was typically short (fewer than 300 words), generic and of low quality; however,

it ticked the box for regular and recent content.

Many organisations use the free version of Google Analytics, effectively sharing their data with

Google. Whilst there were increased amounts of content, bounce rates were increasing (for more on

Google Analytics terminology, see Chapter 13, Digital Marketing Metrics, Analytics and Reporting), so

people searching were finding a page that seemed relevant, but leaving the page instantly. In 2011 Google

changed its algorithm to discourage this practice with the update known as Panda. Panda reduced vis-

ibility in search engine results pages for low-quality content that was typically created by content farms.

Content optimises the website for

long-tail keywords

As our online search behaviour has become more complex, we are searching for more

specific phrases. Content within blog articles, how-to guides or online reviews, can

build in these specific search phrases, that are less likely to appear on other websites.


Digital Tool Buffer

Buffer is a digital publishing tool that allows you to find, share and publish content across different

social platforms.

It has a free account as well as paid-for options and is an easy way to share content online.

• See


A long-tail keyword (or key phrase) is a longer set of words. Instead of searching for a single

word or phrase, we build a much longer tail. For example, my search is likely to expand with

each step, as shown in Figure 4.1.

Step 4 – Exact search: Non smoking Airbnb apartment in Verona near the

colosseum – this narrows down the results even more and there will be fewer

pages containing this exact phrase

Step 3 – Phrase search: Airbnb apartment in Verona – this narrows down the

results and there will be fewer pages containing this exact phrase

Step 2 – Modified broad search: Accommodation in Verona – again this generates

many pages of results

Step 1 – Broad search: Italy Holidays – this is likely to generate thousands

of pages of search results

Figure 4.1 From keyword to long-tail keyword

Step 4 in the figure represents the set of long-tail keywords, and as you can see this is nearly a

sentence. Any website containing this phrase is more likely to appear at the top of the search

engine results page (see Chapter 3, The Digital Marketing Toolbox, section 3.6 Search engines).

Content generates new customers and retains

current customers

Creative content can be found by new customers who are unaware of the organisation.

It may be that someone searches for a specific phrase and finds the organisation for


the first time. Imagine you’ve just started university and you’re searching for ‘reliable

taxi firms’. It’s likely that you will find a list based on your location. You will find

recommendations that may include firms you were totally unaware of.

In the same way, an existing customer might decide to check some information and

find the current organisation, which provides reassurance that they have made the

right choice. After finishing your second year at university you might search for ‘late

night taxi firms’ and discover the taxi company you previously used. These search

results appear owing to content on the taxi company’s website, reviews passengers

have left or other online content.



Visit these webpages for more information on the latest content marketing statistics:




It may seem that content marketing is a new phenomenon but the concept of brands

telling stories to attract and retain customers is not new; they have been doing this

for centuries. More than 100 years ago firms used content, albeit different types, with

the aim of increasing business and revenue, like the example shown of John Deere

in Case Example 4.1, which was originally shared with me by Karen Jones at Aston


The John Deere case example takes you back through history where content was used

for educational purposes, and marketers continue to use online content to educate

and entertain their audiences to drive traffic and conversions.

Case Example 4.1 John Deere

In 1895 John Deere launched The Furrow magazine in the United States. The content featured in The

Furrow was educational, and it focused on teaching farmers how to be more fruitful business owners,

rather than trying to sell John Deere’s farm equipment.

Over 120 years later, The Furrow is still alive and well, with five editorial teams publishing their

respective versions of the magazine in North America, Europe, South America, Australia/New Zealand



and China, creating their content in 15 languages. The 2017 global circulation of the magazine was

approximately 1.5 million, of which the European magazine totalled 770,000.

The editorial team based in Mannheim, Germany, publishes 14 different country editions of the

magazine and each has its own, country-specific editorial content and advertising material.

Figure 4.2 The Furrow Russian edition

Source: Reproduced by kind permission of John Deere GmbH & Co. KG

Thanks to Steve Mitchell and Steven Roller, Manager, Company Magazine, John Deere GmbH & Co.

KG, for key facts on John Deere.

Case Questions

• Can you think of an organisation that publishes in multiple locations and several languages?

• What are their challenges in maintaining brand image and tone of voice across different


• How would you recommend this is managed?




Organisations may have business strategies, marketing strategies and product strate-

gies. In a digital environment where content is such a valuable resource, it is necessary

to adopt a content marketing strategy, to recognise the place of content within the


Content has always existed, whether that was product or promotional content.

However, this was largely controlled by the organisation, issued to a schedule and

distributed to a specific audience. The difference with a content marketing strategy

is that it adopts a longer-term view of what’s needed, for whom, why and how it will

be evaluated.

There are few academic articles about content marketing strategy and the industry

experts are the Content Marketing Institute (CMI), who focus on content marketing

education and training. They created a Content Marketing Strategy Framework, which

has been tested on many brands. This is outlined in Table 4.1 and we will review the

framework further in this section.

Table 4.1 Content Marketing Strategy Framework

Framework element What this means

1. Purpose and goals Why are you creating content and what value will it provide?

2. Audience For whom are you creating content and how will they benefit?

3. Story What specific, unique, and valuable ideas will you build your content

assets around?

4. Process How will you structure and manage your operations to activate your


5. Measurement How will you gauge performance and continually optimize your efforts?

Source: Content Marketing Institute, 2017, p. 2


Creating content for an organisation without a purpose or goal wastes time and

effort. In all aspects of business we like to have clear objectives, and Juan‐Carlos

Molleda, writing in the Journal of Communication Management, suggested the

idea of an authenticity index. He provided an outline (Molleda, 2010, pp. 232–3)

for messages or other communications from an organisation which was based on a

growing need for greater authenticity in corporate communication. We could argue

that he was seeking to identify the purpose of content and how this aligned with

an organisation’s mission and values. Taking Molleda’s proposed list of elements

to consider, we could apply this to content goals and consider this a list of poten-

tial reasons for creating content. I have adapted this as a blueprint in Table 4.2,

along with content from the CMI on possible goals, with some examples of the

possible content.


Table 4.2 Content purpose blueprint

Possible goals Content examples

Create imagery of or claims that evoke pleasure

or fun when visitors encounter the corporate


Images, words, video

Share access to original ideas or designs Behind the scenes, blueprints, shared reports

Demonstrate organisational values, including

beliefs, principles, or way of acting or operating

Content from the CEO such as published letters or videos,

blog posts, annual reports, shareholder meeting content

Highlight associations with originality in

design of products, services, ideas, or facilities;

exceptional quality of corporate offerings

Trademarks, patents, brand story-telling, product articles,

product hero features, examples of exceptional customer


Showcase the heritage of the organisation

and its leaders, or references to historical


Brand story-telling, imagery, videos, product development

and evolution, links to working practices

Explain the sustainability and corporate

responsibility programmes, decisions, or actions

Videos showing examples of the corporate social

responsibility programme

Generate customer acquisition, conversion or


Focused content relating to the desired behaviour, such as

emails containing a time-limited offer

Save costs through better targeting Focused content based on the audience group, such as

emailing offers to students towards the end of term when

money is in short supply!

Source: Adapted from Molleda, 2010, pp. 232–3

The content purpose blueprint provides a starting point to create goals that may need

to be adapted based on the organisation.


When creating content, it is essential to consider the audience. In a digital environ-

ment we narrow the audience into personas, ‘representations of archetypical users;

they bring “people to life” in the minds of the people who use them’ (Hendriks and

Peelen, 2013, p. 60). They are used by businesses to create content, build websites

and develop advertising messages.

Why bother with personas?

As researcher Salvatore Parise observed, ‘customer personas enable organizations

to view and see their products and services from the customer perspective’ (Parise

et al., 2016, p. 416). His comment is especially valid when younger staff are creat-

ing content for older customer groups. Imagine you’re 20 or 21 and you’re writing

a blog article aimed at a wealthy couple in their sixties. It’s a stretch. As a student,

you may be on a budget and you have no idea of the challenges faced by older

people. That’s where personas are invaluable, allowing you to step into the shoes

of the customer.


How do you create a persona?

The first step is to collect and analyse data about the target customer groups. The

data should be genuine and you can start with secondary research as this can happen

at your desk – it’s quicker and cheaper. After this you may seek primary data, which

takes longer to organise and often requires an investment.

From the data you should extract and start to identify patterns of behaviour to describe

different ‘types’ of user. Typically digital personas are based on three elements, as

shown in Table 4.3, which also suggests examples of data sources (and see also

Discover More on Demographic Research Sources).

Table 4.3 Digital persona elements

Persona element What this means Data source

Demographics Age, gender, income, education,

ethnicity, marital status, household (or

business) size, geographical location,


Mintel, Keynote, government data, sales

data, in-house metrics and shopping


Psychographics Personality and emotionally based

behaviour linked to buying habits,

purchase choices, attitudes, beliefs,

lifestyle, hobbies, holidays, values

Mintel, Keynote, government data

showing hobbies and interests

Webographics Internet usage, social media usage,

websites visited, browsers used,

devices and systems used, time of

day and duration online, action on site

(downloads, comments, likes), other

media used

Online data sources such as Statista,

Pew Internet, Google Analytics or offsite

analytics, interviews and observation

sessions with existing and potential

users, user testing sessions



Many government bodies worldwide capture statistics that are free to access. This includes

the following:

• The Office for National Statistics is ‘the recognised national statistical institute of the UK’

and their website contains statistics from leisure and finance to education and well-being.


• The European Union gathers data from across Europe from country profiles to population

details. See

• The United Nations statistics division gathers and assembles worldwide demographic

data. See

• The United Nations also provides links to National Statistical Offices’ websites which cover

Africa, Americas, Asia, Europe and Oceania. See


Digital Tool Online Persona Builder

The team at Hubspot, the online software company, has created an online persona builder. It takes

you through a series of questions and, at the end, your persona is created. It is fairly basic, but a

good place to start.

• Visit

Activity 4.1 Construct a Digital Persona

1. For an organisation of your choice, construct a digital persona.

2. Conduct some research to identify data about the target audience and distil key demographic

and psychographic features.

3. Based on additional research, propose webographic characteristics.

4. Provide an appropriate name and provide a suitable image to support a realistic persona.


All content tells a story – whether that’s an image, a video or blog post. Once the

goals have been agreed and personas created, you can map out potential stories for

the audience.

Stories can be about the organisation, its products and services or share knowl-

edge and expertise. Table 4.4 shows the Storybox Selection™, with many ideas for

content creation.

Table 4.4 Storybox Selection™

The organisation Products and services Knowledge and expertise

• Organisational values

• The heritage of the organisation

• Corporate responsibility

• Company achievements

• Milestones and highlights

• Quality assurance

• The team

• Team and employee achievements

• The products, services

• Original ideas or designs

• How the product or service evolved

• Behind the scenes

• The market covered

• Customer stories

• Customer success

• Educational stories

• Research and opinions

• Surveys

• Conference feedback

• Forecasting the future

• Resources

• Reading list

• Templates

• Point of view

• FAQs


Curata, a content software company, created the Content Marketing Pyramid show-

ing the effort required and frequency of content creation. At the top of the pyramid,

shown in Figure 4.3, there is considerable effort in developing research papers and

books. At the other end of the scale they suggest social media posts and curated

content (Curata, 2017), which requires less effort and can be used more frequently

(see Key Term – content curation).


Curated content or the process of content curation has been described by researchers Aristea

Fotopoulou and Nick Couldry from Goldsmiths College, University of London, as ‘finding, cat-

egorizing and organizing relevant online content on specific issues’ (Fotopoulou and Couldry,

2015, p. 243).

Content curation can be a useful way of creating content on specific themes such as prod-

uct reviews, where you are telling the story about the story. As an example, you may curate

content by gathering up a series of articles written about Snapchat Specs, assessing the

different perspectives and range of advice provided and turning this into a post for your blog.

Primary / Secondary Research & Thought Leadership:

Books, eBooks & White Papers







T &










T &




Social Media Posts &

Curated Content






Long-form Blog Posts & Presentations

Infographics & SlideShares

Short-form Blog Posts &

Contributed Content

Figure 4.3 The Content Marketing Pyramid


Having considered the subject of the story, there are many content types avail-

able which can be based around the content length or structure, which we will

now consider.


Content length

Content length refers to short- and long-form, which is about the number of words

in the article or the number of seconds that the video runs.

Short-form content has been described as twitterature, nanofiction (Rudin, 2011) and cas-

ual viewing (Snickars and Vonderau, 2009). Several news and marketing publications such

as Marketing Week and the New York Times have called this short content ‘quick break’

or ‘snackable’ (Alter, 2015; Dreier, 2016; Marketing Week, 2016). This has been driven by

two key factors; firstly, the growth of mobile phones, where many people consume video

and shorter content, and secondly, the reduced cost in video and content production.

Long-form content, also labelled as long-form narratives or in-depth content, includes

blog articles, white papers, case studies, e-books and longer videos.

Based on the behaviour wanted, there are strategic content building blocks you can

select. Figure 4.4 shows comprehensive content options for achieving awareness. This is

needed when launching a new brand or product and trying to improve brand awareness.



• Company news stories

• Industry news

• Commentaries

• Predictions

• Facts

• Statistics

• Blog articles


• Sponsorship imagery

• Adverts (social media

and PPC)

• Awards

• Infographics

• Sharing visuals (breakouts

from infographics)

• Banners

• Posters

• Cartoons

• Screenshots

Audio and Video

• Adverts (social media and PPC)

• Brand stories

• Customer stories


• Interactive banners

• Quizzes

• Competitions

• Calculators

Figure 4.4 Strategic content building blocks for awareness


The critical factor to remember is that content is not all about words! Images, audio

and video have become increasingly important as Google has invested in image and

voice search. An example of using an image to create awareness in shown in Figure 4.5.

A small brewery in Ireland, Kelly’s Mountain Brew, is using a dramatic image posted

to Facebook and Instagram and focusing on the theme of the rugby world cup, which

was taking place at the time.

Figure 4.5 Example of image used for brand awareness


Once awareness has been achieved, the next stage is conversion. We have made

the target audience aware of the product or service and we would like them to take

the next step and convert. This may involve a purchase or sharing data such as an

email address. Conversion requires different content options, such as those shown

in Figure 4.6.

Conversion content is often about providing additional reassurance information at the

stage where a potential customer may be deciding whether to go ahead or not. One

example of conversion content is reviews. On business-to-business websites these

may be testimonials.


Time-limited offers

Product descriptions

Product comparisons

Polls and surveys



White papers

Research reports

General reviews

Product reviews

Third-party articles


Case studies




Social media posts

Forum messages

Buying guides

How to guides





Product images



SlideShare decks


Animated GIFs


Video storytelling

Live streaming

Online demos



Live chat



Audio and Video


Figure 4.6 Strategic content building blocks for conversion

Once awareness and conversion have been achieved, the organisation has gathered

some data or a sale has taken place, enabling a direct conversation between the

organisation and the customer.

The next step is to retain the customer and different content options are shown in

Figure 4.7. It is worth noting that whilst there are fewer options at this stage, you now

have the customer’s details! This means that behaviour in terms of opening emails,

responding to emails or offers, can be measured and recorded. As a result, better-

focused content can be created.




• Emails

• Newsletters

• PDFs

• EBooks


• Happy


• Detailed

product pics

Audio and


• Nudge


• Webinars

• Podcasts


• Online tools

• Apps

• Games

Figure 4.7 Strategic content building blocks for retention

Macmillan Cancer Support organises many different fundraising activities, one of

which that is popular in UK universities is its World’s Biggest Coffee Mornings. Cakes

are baked and sold to raise money. The event has taken place for many years and a

dedicated landing page on the website provides an app that enables those participating

to create personalised invites and posters, as well as thanking those who participated,

using an interactive online tool, which you can access at


Content structure

The structure of content and how and when it is shared, is connected to the timing

of specific types of content. There are three specific types of content to consider:

evergreen, planned and topical, which are explained here.

Evergreen content is also called ‘flow’ content; it can be used at any moment because

it is not time-sensitive. This can be planned and prepared many months in advance,

plus it can be recycled and used again at different times. Examples of this include a

fashion retailer posting ‘5 things to consider when selecting a winter coat’ or an IT

services company sharing ‘3 ways to save money on IT infrastructure’.

Planned content refers to scheduled events that are in the country’s or the organisa-

tion’s annual calendar. This includes content from seasonal events, festivals, product

launches, shareholder meetings. The benefit of planned content is that organisations

have time to prepare and develop the relevant format. The fashion retailer can share

‘what we discovered at Paris fashion week’ and the IT services company may provide

more details to ‘learn about Microsoft’s new programmes’.


Topical content refers to newsworthy items, which are often indicated as #breaking on

Twitter. These stories cannot be prepared in advance and require responses as they

occur. When stories occur there is a decision to be made as to whether a response

is relevant and right for their audience. Not all situations require a response and this

should be considered within the PR team.


The CMI states that ‘content marketing is an ongoing operation, not a short-term

campaign’ (Content Marketing Institute, 2017, p. 14) which means that to run a con-

tent strategy requires clear direction as to the different people involved, as well as

the technology to support the content delivery. The aspects of content management

process are listed below:

• Themes for the year

• Content calendar

• Content guidelines

• Content creation and editing

• Publish/schedule

• Distribute and promote

• Review

Themes for the year

Annual themes can be focused on product launches, the organisation’s own events as

well as wider national or international events where relevant. Developing themes can

take place by understanding persona needs or with keyword research using keyword

tools (see Smartphone Sixty Seconds™ – Free keyword research tools) and should be

added to the content calendar (see Key Term).

Smartphone Sixty Seconds® –

Free Keyword Research Tools

• On your mobile phone go online and search for ‘free keyword research tools’.

• Select one of the tools that is free.

• Add a keyword or web address and explore the results.

Content calendar

Content creation is often planned and managed within a content calendar (see Key

Term), which allows digital marketers to:

• Plan content around key events in the industry or important dates


• See where there are gaps in your content plan, with plenty of warning to create

more content

• Make sure the content is ready in plenty of time

When working in an organisation, the further ahead you plan your digital content, the

better placed you are to produce a consistent flow of content, that builds the brand’s

perceived expertise in your chosen subject areas.

It also means you can explore the year ahead and identify relevant industry or world

events that you wish to plan content around. Content can be planned on a daily,

weekly, monthly, or quarterly basis depending on the industry sector.


A Content Calendar is a shareable resource that marketing teams can use to plan all content

marketing activity.

It is often in a spreadsheet, divided by month, that is shared in Google Docs or OneDrive,

so that the latest version is always available.

The benefit of using the calendar format (rather than just a long list of content to be pub-

lished) is that you can visualise how your content is distributed throughout the year.

Content guidelines

Typically content guidelines include details about the editorial style and brand voice.

Larger organisations have instructions on use of abbreviations and grammatical norms,

such as the use of active or passive voice.

This may include the use of templates to ensure everyone includes at least one image

in a blog post and specific keywords.

It is important that the guidelines are created, shared and understood from the start

so that content created by anyone in the organisation follows the same style.

Content creation and editing

Once content has been created, you can edit and include additional items such as links

to earlier content, links to content outside the website, new or relevant information.

When content is edited, Google sees this as a signal that the content is important

enough to be revisited and reviewed. This indicates that it is quality content and it

is often re-indexed after editing.

Publish or schedule

When the content is ready you may decide to publish immediately or schedule for a

later date. The benefit of a content calendar is that several key items can be prepared

and scheduled in advance. This can be useful if the organisation has a specific time

of year that’s especially busy.


Blog posts are often created using blogging tools such as Blogger or WordPress,

which incorporate ‘publish now’ or ‘schedule later’ functions (for more on blogging

see Chapter 3, The Digital Marketing Toolbox).

Distribute and promote

Simply uploading a blog post, video or infographic is not enough to gain attention.

The distribution needs to be carefully planned and is likely to include:

• Abbreviated headline shared on Twitter

• Alternative headline posted on LinkedIn

• Limited content added to LinkedIn

• Relevant images added to Instagram

• Being included in a newsletter that is mailed to your contact list

Some distribution tools can make achieving coverage across several social media

platforms faster and easier (see above, Digital Tool: Buffer).

Content review

Over time some content may become irrelevant or dated and may need to be removed

completely. It is worth reviewing low-performing content, such as pages, posts or

videos with few likes, shares or views and deciding whether to edit or remove.


Content metrics should be based around the original goals and objectives. Looking

back at the content purpose blueprint in Table 4.5, I have adapted this to include

relevant metrics for each goal in Table 4.5.

Table 4.5 Content purpose blueprint and metrics

Possible goals Metrics

Create imagery of or claims that evoke pleasure or fun

when visitors encounter the corporate offering

Number of views, visits, downloads, shares

Share access to original ideas or designs Number of views, visits, downloads, shares,

sentiment, forwarding, back links (see Key Term –

sentiment analysis in Chapter 3)

Demonstrate organisational values, including beliefs,

principles, or way of acting or operating

Number of views, visits, shares, sentiment

Highlight associations with originality in design of

products, services, ideas, or facilities; exceptional

quality of corporate offerings

Number of views, visits, shares, sentiment

Showcase the heritage of the organisation and its

leaders, or references to historical background

Number of views, visits, shares, sentiment

Explain the sustainability and corporate responsibility

programmes, decisions, or actions

Number of views, visits, shares, sentiment


Possible goals Metrics

Generate customer acquisition, conversion or retention Completed forms, subscribers, comments, number

of new customers, increase in sales revenue

Save costs through better targeting Reduced costs

Source: Adapted from Molleda, 2010, pp. 232–3


Who creates the content is an interesting issue. It could be created in-house by the com-

pany, through external agencies and by customers. One useful framework to consider

the different sources of content is the POEM model, which was created by Sean Corcoran

whilst working at the research firm Forrester (Corcoran, 2009). POEM describes three

types of media, rather than content, which Corcoran named Paid, Owned, Earned Media.

I have adapted this to include shared, as companies never own their social media space, nor

can they control exactly who sees what content, so it is always under the owner’s control.


I have re-framed the model as Paid, Owned, Shared, Earned (POSE) media and the

amended model is shown in Figure 4.8. Let’s look at each of the elements.


• Adverts where money

given to promote content


• Website or other

spaces under the


control and



• Spaces like social media

where third-party companies

control the user experience

and content shown


• User-generated

content to praise


Figure 4.8 Paid, owned, shared, earned (POSE) media model

Source: Adapted from Corcoran, 2009


Paid – Bought media

Content that the organisation has bought to place, such as adverts (whether this is via

pay per click or on social media), is in this category. It may include sponsored posts

and has grown, based on the ability to target specific user groups. Corcoran defined

paid media as where the ‘brand pays to leverage a channel’.

The critical factor about paid media is that it has been created by the organisation

who intend to use it for promotional or other purposes. Paid media can be easily

ignored by customers who dismiss adverts and other corporate communications as

they are perceived to be less authentic. As Sonja Gensler and her fellow researchers

noted: ‘Ad viewers perceive unsolicited consumer-generated ads as authentic but not

credible, while they perceive consumer-generated ads created within a contest as

credible but not authentic’ (Gensler et al., 2013, p. 246).

Paid media can also include content from influencers who are given rewards, which

could include payment or goods, in return for positive content about the organisation

and its offers (see Case Example 1.1, Eltoria Influencer Marketing).

Owned – Controlled media

When the content is controlled and managed directly by the organisation, such as

their websites and email communications, this is owned media. Ironically, as the

organisation owns and controls this media it is considered less authentic by customers.

Shared – Borrowed media

Where content is placed on third-party sites, such as social media platforms, organi-

sations are sharing someone else’s platform. This a new addition to the model and

is based on social media sites such as Facebook who are showing users less and less

commercial content. In some cases, the only way that users see commercial content

is if it is sponsored or paid for.

Earned – Won media

Where content is created by customers, fans and sometimes unhappy customers who

are seeking resolution to a situation, Corcoran suggested that earned media was ‘when

customers become the channel’.

At a basic level, earned media could be considered as positive content in the form

of retweets and likes. This extends into longer-form content, such as parody videos

and appreciation pages.

The critical factor is that earned media is often outside the control of organisations

and is the content that users, whether customers, fans or detractors, prepare and

share amongst their networks. Whilst Corcoran named this ‘earned media’, this is

often recognised under the alternative title of user-generated content, which is often

abbreviated to UGC (see Key Term below).

The POSE model does cross over the defined segments, as shown in Figure 4.8.

These are the areas where difficulties can occur, as celebrities have endorsed specific

products without disclosing payment!


User-generated or user-created content

User-generated or user-created content (UGC or UCC) has always existed. Letters to

the editor or product reviews are forms of UGC. We, the users, create the content and

there is no single agreed definition of UGC or UCC.


Kevin Crowston and Isabelle Fagnot refer to user-generated content as ‘a form of voluntary

organization’ (Crowston and Fagnot, 2018, p. 90).

An earlier definition of user-created content from the Organisation for Economic Co-operation

and Development (OECD) defined it as content made publicly available over the internet

1. Which reflects a ‘certain amount of creative effort’

2. Which is ‘created outside of professional routines and practices’.

(OECD Directorate for Science, Technology and Industry, 2007, p. 4)

Further developing the concept of user-generated content (UGC), Kevin Crowston and

Isabelle Fagnot suggested that the three key features of this content format were:

1. Large numbers of distributed contributors, commensurate with the popularity

of the activity, ranging from dozens to tens of thousands or more;

2. Mostly unpaid contributions; and

3. Jointly-focused activity, in which contributors collectively develop new content

(e.g., text, images or software) of value to a larger audience.

(Crowston and Fagnot, 2018, p. 90)

The common thread between these definitions is the effort or new content that is created.

This factor enables sites like Wikipedia, TripAdvisor®, Facebook, Twitter and Instagram, to exist.

Another term for those participating in, or contributing user-generated content, is

‘produser’, defined as where ‘participants (become) users as well as producers of infor-

mation and knowledge, or what I have come to call “produsers”’ (Bruns, 2006, p. 276).

User-generated content has recognised benefits and weaknesses for organisations.

Advantages of user-generated content for organisations include: it often costs noth-

ing to create (Vanden Bergh et al., 2011); search engine results are often based on

user-generated content (Petty, 2012); and users’ actions in social media are shared

with their networks, as well as across the brand pages (Colicev et al., 2016), and

other consumers identify blog articles created by other users as more credible (Kim

and Hanssens, 2017).

Disadvantages of user-generated content for organisations arise as the content is

outside the organisation’s control (Vanden Bergh et al., 2011) and the content can be

unpredictable – positive or negative (Kumar, Choi et al., 2016).


To explore whether your organisation has much user-generated content, you may

need to conduct a content audit.


A content audit or content inventory is the action of checking all the organisation’s

content online and compiling it into a large list. This takes place for two reasons:

either (a) the need to check that the brand is consistent across a range of platforms

or (b) for search engine optimisation analysis (see Chapter 3 for more on SEO).

Whatever the purpose, the activity can take some time and effort and needs to be

carefully considered as to who will carry out the work, where the data will be stored

and how the data will be used once gathered.


There are three types of content audit that you can perform:

• Full content inventory

• Partial content inventory

• Content sample

Full content inventory

This is a large task and could take some weeks to perform as a full content inventory

is a complete listing of every content item that can be found across the organisation’s

owned and earned media. This may include all pages as well as all assets (such as

downloadable files and videos). This is normally required where a major review is

taking place.

Partial content inventory

This is a listing of a subset of the organisation’s owned and earned media. A partial

inventory may include, for example, the top few levels of a website or the past six

months of articles. You may be asked to undertake a partial content inventory when

an organisation is checking consistency and simply needs a smaller number of items.

Alternatively this takes place when it is not economically viable to review all content

in a full inventory.

Content sample

This is a less detailed collection of example content from specific sources, such as a

website. This is often requested based on a specific requirement, such as a new website.

If you are not sure whether an audit is needed, you can use the online template

(Template: Ten-point content audit analysis) and watch this video, which shows you

how to conduct a content audit:


See Template online: Ten-point content audit analysis

Screaming Frog has created an SEO spider tool which will search the internet and

list all pages with the domain name. There is a free and paid-for version that you can

explore (go to and Curata, a content market-

ing software company, shares its free content audit templates (see



Once a content audit has been conducted, you may wish to define how future content

management takes place. My personal mantra is ‘add one web page, remove two’.

This can be difficult to achieve as content management requires careful planning, to

consider what the organisation might publish during the year.

It is also critical to identify the people required to produce and deliver the content.

This involves many different roles as the people in content management can include

those working inside the organisation as well as others outside the organisation. PR

companies often provide a copywriting service (as do copywriters). When hiring staff

to create content, you may need to create a competency test to see who is best placed

to create short- and long-form content for your organisation.

Other key factors in content management include content assets and content manage-

ment systems. Let’s explore each of these elements.


When creating initial content, the assets need to be identified. Content assets may

include photos and other imagery, videos, white papers, eBooks and other long-form

written content available to the organisation.

It is essential to ensure your organisation only uses images that it has paid for, or

has permission to use, in that format. There are many popular photo-sharing sites,

but these may prohibit commercial use of the images. If you represent a commer-

cial organisation and you are using these images, be prepared for a big fine or an

out-of-court settlement.


In terms of technology, websites often incorporate a content management system (CMS),

which allows individuals to create and post content, to be published immediately or to

be scheduled at a future date. The Open Source blogging and website programs such

as WordPress, Joomla and Drupal usually include content management systems, allow-

ing writers to add content and to build in keywords, images and meta descriptions.

An additional advantage with these websites is that they contain a media gallery. One

method of managing assets is that a small team can upload only the imagery that has

been pre-approved for use, or copyright recognised and paid for.


When the content has been created, there is the question of who has access. Questions

to consider are:

• Is the content available to all?

• Is it member- or subscriber-only content?

• Is it paid-for content?

Content gating and paywalls

Some organisations manage their content by content-gating via paywalls (see Key

Terms) to encourage non-customers to sign up or at least to share their email address,

so the organisation can start a conversation about their requirements.

Paywalls are familiar to researchers and students, as academic articles are often

available on a pay-per-item basis, unless your institution has a subscription to access

the content.



Content gating means hiding additional content behind a so-called wall, which is removed

when the visitor has shared information, answered a question, or paid a fee.

Facebook requires a login to access more than the basic information, so users must create

an account to view detailed material.

Paywalls are a type of content gate where payment is involved. Researchers have noted that

visitor numbers drop when paywalls are introduced (Lambrecht et al., 2014), although the UK’s

main business newspaper, The Financial Times, introduced and has sustained its paywall since

2007. It has evolved from allowing a few free articles, to registration for a time-limited free trial.

Case Example 4.2 Tripadvisor®

Content Gate

TripAdvisor® has realised its reviews are valuable, yet many of the site’s users never logged in. They

simply read the reviews, but never contributed. To resolve this, the site created a content gate and

hides ‘more of the review’, as shown in Figure 4.9. To access the material, the visitor must share their

details, which enables TripAdvisor® to gather more user data and better tailor its ads – as well as

keeping its advertisers happy with a larger database.


Figure 4.9 The TripAdvisor® content gate

Case Questions

• What is your view on paywalls?

• If you think they are acceptable, how much of the content should be shared?

• If you think they should be removed, how can the organisation pay the staff salaries?



Developing a content marketing strategy requires an understanding of the fundamental

purpose as to why the content is being created. Joe Pulizzi, founder of the Content

Marketing Institute, and publisher Newt Barrett (Pulizzi and Barrett, 2009) recom-

mended creating a content marketing roadmap that is underpinned by the ‘BEST’

principles, which is a useful framework to apply when developing content.

• Behavioural – Does everything you communicate with customers have a purpose?

What do yu want them to do as a result of interacting with content?

• Essential – Deliver information that your best prospects need if they are to suc-

ceed at work or in life.

• Strategic – Your content marketing efforts must be an integral part of your overall

business strategy.


• Targeted – You must target your content precisely so that it is truly relevant to

your buyers. Different forms of content will need to be delivered through differ-

ent social platforms.

Let’s work through an example using the fashion retailer Superdry, who created a

blog article ‘The jacket that photographs so well – Q&A with Constance Victoria’

(Superdry, 2017c). Constance Victoria is one of their photographers and the story is

a photo montage wrapped around the story.

Behavioural – The purpose of the article is to showcase how the jacket photographs

so well and demonstrate a range of looks on three different-looking models. The

natural result would be that as a possible buyer, you would imagine it would suit just

about anyone. It becomes an easy purchase decision.

Essential – This is useful fashion advice, showing different looks and explaining that

this is a great layer, regardless of the weather!

Strategic – This is a clever way of showcasing the product and also showcasing the

photographer as a trendsetter who doesn’t work 9am to 5pm. It differentiates the

brand by allowing the photographer to explain this look and what they love about

their job, reinforcing the brand’s identity as an ‘exciting contemporary brand which

focuses on high-quality products’ (Superdry, 2017a, p. 1).

Targeted – The blog content is longer and contains long-tail keywords such as ‘denim

Sherpa Girlfriend jacket’ yet the Instagram post shown in Figure 4.10 is a single

image with a short sentence: ‘superdry A denim jacket. The everyday style symbol’

(Superdry, 2017b). The company has successfully targeted its content through differ-

ent social platforms.

Figure 4.10 Example of targeted content by Superdry



Activity 4.2 Evaluation of the ‘Best’

Principles for Content Marketing

1. Using the BEST framework, apply the BEST principles to a brand of your choice.

2. Evaluate their content; does it meet the BEST requirements?

3. If not, where are the gaps and why do you think this is?

See Template online: Evaluation of the BEST principles for content marketing

1. Explore your stories

• Write, talk, illustrate, �lm stories about your:






2. Optimise your content

• Re-write

• Add in more SEO

• Keywords

• Long-tail key phrases

• Expensive keywords

• Build links to other assets

3. Publish your content

• Add to your own website or blog

• Share with fans and advocates

• Add as news item to your RSS feed

4. Promote your content

• Add to email signatures

• Talk about in your social spaces

• Mention in other articles (build back links)

5. Harness fans and followers

• Give them exclusive early access

• Provide different imagery

• Ask them to share

Figure 4.11 Content themes and content promotion framework


Once your organisation has decided why the content is needed, it is time for some

inspiration to start creating content.


The easiest way to create content is to look inside the organisation and to write, talk

or video others about the organisation’s products or services. Why were they created?

By whom and when?

Also consider the individual interests, passion and expertise of those inside the

organisation. Most successful brands have been constructed on focused owners driven

by a passion for technology (Steve Jobs), improving working methods (Bill Gates)

or travel (Richard Branson). It is essential to be authentic and better not to sell, but

advise, as shown in Figure 4.11.



One of the key issues to consider when creating content is known as COPE, which

stands for ‘Create Once, Publish Everywhere’ (Jacobson, 2009). The aim is to create

content that can be used in different forms. This is also known as breaking-apart

content and is based on the premise that it takes time to create content, so it needs to

work harder! It is possible to take one item of content, such as a survey, and divide it

into eight separate pieces of content, as shown in Figure 4.12, the Content Maximiser™.

Conduct a survey and

transform this into 8

pieces of content

1. Write a white paper

about the �ndings and

add to website,

downloadable from blog

2. Create a summary of

the survey in PowerPoint

and add the slides to

slideshare, bookmark

3. Write a blog article

about the survey and post

to your blog or as a guest

post on another blog

4. Graphically illustrate

the key points of the

survey as an infographic,

add to Pinterest,

Instagram, Facebook

5. Summarise the

highlights as a poster

and share on your blog

or professional social


6. Record an interview

and publish as a podcast

on your blog, as well as

podcast libraries

7. Film one of the team

talking about the key

points from the survey

and add to Pinterest,

YouTube, Vimeo

8. Schedule and share

bite-sized elements of the

story via social media

Figure 4.12 The Content Maximiser™

Successful content has been demonstrated to be more vivid and interactive (see Key

Terms) (de Vries et al., 2012; Gensler et al., 2013; Pletikosa-Cvijikj and Michahelles,

2013). As a consequence, this means that the simpler and more basic the content, the

less likely it is to be shared.


Facebook echoes this sentiment as it explains to advertisers ‘Your ad may not run.

You may not reach your audience because there’s too much text in the advert image.

Facebook prefers advert images with little or no text.’


The concepts of vividness and interactivity were originally discussed by Jonathan Steuer

(1992). Vividness was concerned with the richness of online sensory characteristics and how

far technology could stimulate multiple senses. Vividness could be conveyed via features

such as contrasting colours, images and sound. Steuer classified interactivity as ‘the extent to

which users can participate in modifying the form and content of a mediated environment in

real time’ (p. 14) and according to the Content Marketing Institute, the top five types of interac-

tive content used by marketers are: Assessments, Calculators, Contests, Quizzes, Interactive

Infographics (Walters and Rose, 2016). Figure 4.13 shows examples of content on the vividness

to interactivity scale.





animated image

Post with emoticons


Post with images

Combination of video,

images, words




Quiz or competition







Simple post,

some words

Post with a retweet or link or


Figure 4.13 Examples on the vividness to interactivity scale

As an aide-memoire, I have created a scale of vividness to interactivity template,

which shows the least vivid to most vivid and interactive types of content and is a

useful tool for content creation.


Activity 4.3 Application of the

Vividness to Interactivity Scale

1. Select a brand of your choice online.

2. Analyse the different content shared by the brand and judge where it fits into the vividness

to interactivity scale.

3. What are your recommendations to improve or change the content?

See Template online: Application of the vividness to interactivity scale


1. For an organisation of your choice, create 10 pieces of short-form content.

2. Using Table 4.1 the Content Marketing Strategy Framework, create a content

marketing strategy for an organisation of your choice.

3. For an organisation of your choice, write two pieces of long-form content (blog

article, case study).


This chapter has explored:

• Key elements of content marketing strategy from personas to content building


• The content management process from preparing a calendar to sharing guidelines.

• Different methods of content creation, based on the customer journey.

• Paid, owned, shared and earned media, with methods of conducting content


• Best practices for content management and content marketing, with constructs

of vividness and interactivity.




When you have read this chapter, you will be able to:

Understand the concept of self-presentation and self-disclosure theories

Apply recommendations for strategic online community management

Analyse the scale and scope of online communities

Evaluate rules of engagement required for your organisation

Create a plan to build a community that is engaging and thriving


When you have worked through this chapter, you should be able to:

• Identify and recommend relevant online influential communities for organisations

to explore

• Plan, create and manage a successful online community for business



This chapter will explain why there are benefits to being part of a community, as

well as unravelling the diverse groups that exist. You will learn more about self-

presentation theory and see why you should be careful about what you share online.

The role of the organisation in online communities is explored, along with how

to respond to community feedback – including complaints, before they become

a crisis.


Communities were traditionally associated with a particular place and the people

that lived there. We are long aware of farming communities, rural neighbourhoods

and social groups, all promoting an idyll or pastoral myth of belonging, being part

of a group that is often associated with connections that were created and nurtured

over many generations.

Groups and societies provide a common bond or connection and many have existed

for centuries, such as community-based groups, religious assemblies and professional

guilds. These organisations are communities where people meet like-minded people.

The concept of community and its impact has been a political topic for hundreds

of years. A key piece of research, by Professor Mark Granovetter in 1973, published

in the American Journal of Sociology, demonstrated how he explored connections

within offline communities (see Key Term – strength of weak ties) and how they

functioned. Granovetter argued that these interpersonal ties were founded on four

key symbiotic and interconnected elements:

• The time in the group – how often you attend or participate or how much time

you spend with those people

• The emotional intensity

• The familiarity, intimacy or mutual confiding – sharing secrets and personal


• The reciprocity – you help me, so I’ll help you

A strong tie, where you know someone well, can help to find a job and equally a weak

tie can help to pass on information. If you consider your LinkedIn network, some

ties are strong – people you have known for some time; others may be weak – you

met at a conference, they taught you for one semester, but the emotional intensity

and confiding (familiarity) may not exist. However, Granovetter’s work in sociology

demonstrated that you may help someone in your wider LinkedIn group that you

know less well, because of their links to your other connections.

Being connected to a community provides benefits and you may have heard the

expression ‘it’s not what you know but who you know’. This describes how partici-

pation in a group can mutually help those in that collective. This concept has been

formally recognised as access to ‘social capital’, through the wide array of connec-

tions and how one member helps another (see Key Term – social capital). Some

groups were established specifically to enable members to increase and improve


their network, such as LinkedIn (LinkedIn Corporation, 2017, p. 1), which claimed

the benefit of their community as ‘The mission of LinkedIn is simple: connect the

world’s professionals to make them more productive and successful’.


Mark Granovetter explored the strength of interpersonal connections within communities, or as

he called them, ’ties’ (1973). He conducted research into ‘social networks’ and wrote about offline

rather than online networks, as this was in 1973, before any online network was launched.

He investigated how people gained job opportunities and discovered that it was more

often through indirect, rather than direct, contacts. People were more likely to help a contact

they didn’t know that well (weak tie), more so than someone they knew well (strong tie). This

has become a seminal paper in the area of social networks.

Some years later in the United States, Robert Putnam (2000) created widespread con-

cern, suggesting communities were vanishing, with the fear that the internet would

replace traditional communities. Putnam’s work influenced several American presi-

dents, who were concerned about the possibility of communities dissolving, which

could lead to an unstable society (see Key Term – social capital).


The concept of community and its collapse was investigated by Robert Putnam in his book

Bowling Alone (2000). In this book he developed the notion of social capital, which was origi-

nally proposed by Pierre Bourdieu (1986) as the value of the collection of interactions between

two or more people. Capital as an idea represented the value or collection of assets and

‘social’ capital is the value of relationships within a network, which leads to social obligations

or material benefits.



In a digital environment, we have been forced to rethink the traditional concept of

‘community’. The internet has facilitated the rapid growth of online populations,

from social media networks to interest groups; and from support forums to brand

communities. Online communities can be public open spaces, such as a company

Facebook or Twitter page. Or they can be closed communities or private groups in

WhatsApp or Snapchat.


One of the first writers on online communities (see Key Term) was Howard

Rheingold (1987, 1995), who studied the notion of virtual communities, as he moved

from typewriter to computer. His studies focused on an early version of social net-

works, the WELL (Whole Earth ’Lectronic Link), an online bulletin board which started

in 1985, where members could message one another. Table 5.1 shows a timeline of

online communities, although today we would consider most social media platforms

as forms of online communities. What is interesting is that most of the original online

communities started as projects by students at university.

Table 5.1 Timeline of online communities

Year Community Purpose

1980 Usenet Forum for online discussions based on specific threads,

more of a bulletin board, exchanging messages. Started by

graduates at Duke University in the United States

1985 The WELL Online messaging service, also a bulletin board, started by

writer and technologist

1991 Blacksburg Electronic


An entire village connected via the internet which started as a

university experiment

1994 Initially a university project connecting people online, closed

in 2008

1995 A forum to connect former classmates and a type of social

network. Still running but focused on the United States

2002 Freindster Started as a social gaming site, allowing those in the forum to

contact others and to share content. It is also considered as

one of the first social media networks

2004 LinkedIn Groups The social network created groups to facilitate conversations

between people who were not connected

2005 Ning Launched as a platform for groups to build their own online


2006 Facebook Groups Launched to allow like-minded people to create discussions or

organise help forums

2010 Facebook community

pages introduced

Community pages are a bit odd. There are already pages for

communities in Group Pages and unofficial fan pages, so the

development of community pages has been questioned by


Most social media networks host a forum or space for online groups to be created;

this is to keep people within the social network ecosystem. However, hosting a com-

munity via a social media network creates several challenges for organisations:

• The organisation doesn’t ultimately control who sees the content.

• As the terms and conditions change on a regular basis, the risk is that the organi-

sation could create a large online community and discover that the social media

network has decided to end its online community facility!

• Online communities can be created by fans or foes, and unless they are breaking

the law (e.g. making incorrect comments – libel, or using your registered logo –

breach of copyright) it’s difficult to take any action to close a community that the

brand or organisation doesn’t favour!



Definitions of online communities include:

A virtual community is a group of people who may or may not meet one another face to

face, and who exchange words and ideas through the mediation of computer bulletin

boards and networks. (Rheingold, 1987, p. 178)

An online community can be defined as an aggregation of people who share a common

interest and communicate through electronic mailing lists, chat rooms, Internet user

groups or any other computer-mediated mechanism. (Kim et al., 2008, p. 410)



Dale Ganley and Cliff Lampe investigated social network principles in online com-

munities (Ganley and Lampe, 2009). In their work they identified differences between

traditional and online communities, which included:

• Less structure guiding the online community

• Less at stake for online participants as they can simply leave and may never be

in contact with other community participants again

• Less transparency as many online communities enable the use of pseudonyms

or facilitate anonymity

• An informal agreement rather than a formal hierarchy is in place within online


In some places these differences are obvious, for example in online communities

it is possible to join and leave the community at will. Whilst Ganley and Lampe

consider this as meaning there is ‘less at stake’ (p. 267), this also suggests there is

less commitment.

If you are a member of a traditional offline community that meets every week, say

an art group, someone might message you if you miss a meeting or two. If you miss

a few meetings you may feel you are letting the group down, yet online you can van-

ish overnight and no one will notice.

The use of pseudonyms and forms of anonymity has been discussed within research

into online communities. One level of anonymity is used to commit malicious acts such

as cyberbullying, trolling, fraud and hate crime (see Key Term – Cyberbullying and

trolling, p. 82). At another, anonymity is in place to protect the individual’s personal data.

In situations where there is some data, such as a personal profile, or bio, the infor-

mation is often limited and may not present a total picture. Researchers Chantal

Bacev-Giles and Reeshma Haji considered perception in social media profiles and

suggested that the lack of detail forces us to ‘fill in the gaps’ (Bacev-Giles and Haji,


2017, p. 50). Thinking back to the art group, you may not know all the details about

all the members, but you know approximately where they live, whether they drive or

walk, their artistic preferences and if they like tea or coffee. Perhaps this is why so

many people declare an interest in tea or coffee on their Twitter profiles?

Looking at the first and last differences between online and traditional communities

suggested by Ganley and Lampe (2009), they are similar: the lack of structure and

the lack of hierarchy. On Twitter, no one seems to be in charge. All manner of com-

ments and content is published regardless of the rules. The volume of content makes

it more challenging to manage. Reflecting back to the art group, there is a structure

and a hierarchy. There would be a start and finish time. Someone needs to book the

room, arrive early to let the members inside, ensure the meeting finished on time

and someone else may invite guest speakers and encourage new members to join.

Online groups can exist in a 24/7 environment, with many ‘registered’ members but

few participating, so it doesn’t matter if you join and never turn up again. No one will

chase or castigate you for lack of attendance. On the other hand, in an online com-

munity you can share as much or as little about yourself as you want. This is part of

self-presentation and self-disclosure theory (see more below), and one challenge

is that sometimes you can unwittingly reveal a little too much detail.

Your online self

In 1956 Canadian sociologist Erving Goffman explored how people presented themselves

to others, consciously and unconsciously. He suggested that there were many reasons for

managing the impression given and we control the situation like actors to influence the

behaviour of others as they may treat us better if they perceive a certain status.

Goffman proposed a theory of self which has become known as self-presentation

theory (Goffman, 1956). Three years later the report evolved into a best-selling book

(Goffman, 1959) and the theory continues to be used by researchers in online com-

munities and social media today (see Discover More on Self-Presentation Theory).

Goffman discussed ‘sign vehicles’ (Goffman, 1956, p. 1), which we would call personal

information cues or clues, which in our online communities we could consider as the

profile photo, types of posts and likes.

Self-presentation theory suggests people have the desire to control the impressions

that other people form about them. Sounds familiar? It’s also known as ‘impression




Researchers Liad Bareket-Bojmel, Simone Moran and Golan Shahar investigated self-

presentation on Facebook and identified people using ‘enhancement’ strategies to better

present their self in this environment. They named the enhancement strategies as:


a. presentation of the self in a positive manner (behaviors, attributes, attitudes, and


b. presentation of the self in a socially desirable manner;

c. self-promotion designed to impress an audience with one’s competence or talent.

(Bareket-Bojmel et al., 2016, p. 791)

Read their article in the Journal of Computers in Human Behavior for more detail.

Online communities have been the subject of much research as they provide rich

sources of ready-made data. One researcher, Rob Kozinets, has spent years investigat-

ing online communities, to the extent that he evolved the concept of ethnographic

research (studying subjects in their natural habitat) into a method for researching

online groups, which he named ‘netnography’ (Kozinets, 2002).

Online communities provide easy access to data and observing groups using net-

nographic methods provides researchers with sources of significant amounts of

behavioural information. However, this type of online study is not without its crit-

ics. One of the ethical challenges, with researchers analysing and collecting content

within online groups for investigation, was noticed by Godes and Mayzlin (2004), who

remarked that ‘consumers’ decisions to participate in online communities is undoubt-

edly made without the consideration that firms may be observing these conversations

and drawing inferences from them’ (2004, p. 558).


Having considered the concept of online communities, the next factor is their use.

Why do online communities exist?

The earliest online communities, such as those listed in Table 5.1, were member-

to-member support groups, sharing information, thoughts and opinions. Writing in

the Harvard Business Review in 1996, two management consultants, Armstrong and

Hagel, also identified the real value of online communities as the function of custom-

ers being able to speak with other customers.

The use of online communities could be divided into two primary purposes for both

organisations and individuals:

• Hedonic: entertainment, communication, support

• Utilitarian: information, education, contact

It may be that I am a member of an online group on LinkedIn for utilitarian purposes,

to gain information and network with like-minded people. Within Facebook, a group

might be for fun; it might have a hedonic focus. (For more on hedonic consumption see

Key Term – hedonic and utilitarian consumption in Chapter 2, The Digital Consumer).

The next section proposes a typology of online communities and highlights the dif-

ferent types of online communities that exist.



There are many formats of online communities, as they can be open or closed, public

or private, official or unofficial. Looking at individuals, they may join online com-

munities that are based on special interest, mutual benefit or consumption. We will

consider the benefits for organisations in the next section. Let’s examine the different

types of online communities in more detail.

Communities of practice

Communities of practice are those focused on common goals or with mutually held

convictions. As a concept, ‘communities of practice’ was developed by Jean Lave

(1991), who explored different styles of learning; for example, researchers can share

their work on the website which describes itself as ‘a leading plat-

form where the world’s scientists share their research and expertise, collaborate on

projects, and engage with the best scientific content’.

These online communities are less structured than formal communities and provide

educational benefits to their members.

Communities of interest

Moving from education to hobbies and interests, the social networking platform

Pinterest is a good example of communities of interest, as individuals share images

based on common themes. Communities of interest may be demographically differ-

ent, living in different environments, and the thread that surrounds the community

is a common interest.

Another example of a community of interest is The Student Room (thestudentroom., which claims to be ‘The UK’s biggest student community’. Its most popular

forums are: relationships, chat, video games, fashion, uni applications and uni stu-

dent life. Its equivalent in the United States is known as College Confidential (talk. What is interesting is that although these two communities

are separated by thousands of miles, the topics are similar, focusing on student life,

achieving good grades and getting into the right place.

What is interesting is that this community of interest has developed a form of hierarchy

with some forum members having contributed many posts, although earlier research-

ers Dale Ganley and Cliff Lampe (2009) suggested that a key difference between a

traditional offline community and an online version was the lack of structure. It seems

we may be transferring or perhaps blurring the typical traditional features into our

new online environments.

Communities of transaction

Communities of transaction, which are also known as transaction communities, enable

the ‘buying and selling of products’ (Armstrong and Hagel, 1996, p. 135). They are

not about specific practice or interest; instead they allow individuals to be either a

buyer, a seller or both.


In a pre-internet age, if your parents or grandparents were upgrading or changing

their furniture, they may have sold the older furniture through an advert in the local

paper. Communities of transaction have become the online answer to the local paper

and whilst both services facilitate transactions between individuals, the differences

with the online community include:

• A much wider market can be targeted, beyond the typical reach of a local


• Interested people can monitor results and decide whether to sell a similar product.

• Individuals can bid via an auction system rather than paying a fixed price.

However, in this situation neither party is technically a retailer; they don’t have an

endless supply of sofas or dining room tables, it may be a stock of one item.

One of the largest communities of transaction is eBay, which describes itself as ‘the

world’s online marketplace; a place for buyers and sellers to come together and buy

or sell almost anything!’

There’s less regulation in these member-to-member sales organisations. eBay and

others have introduced feedback and star rating systems, along with a comprehen-

sive help guide for what action to take when things go wrong, including a dedicated

resolution centre which aims to settle issues:

We always encourage our members to communicate with each other when

there’s a problem with a transaction. The first step is to contact the member

through the Resolution Centre and try to resolve the problem. (eBay Inc., 2017b)

In 2013 eBay launched its Money Back Guarantee which ‘covers over 99% of listings

on when you pay with PayPal’ (eBay Inc., 2017a).

The challenge is that there is no higher authority where people can complain and there

is no opportunity to return the goods after 30 days, which many retail stores permit.

Communities of relationship

Whilst there doesn’t seem to be a great difference between the notion of communities

of interest and communities of relationship, Armstrong and Hagel (1996) suggested

that these were often constructed around life events to provide emotional/psychologi-

cal support. They further suggested that these communities ‘can lead to the formation

of deep personal connections’ and one unusual factor in a virtual community is that

‘people often are aware of one another’s actual identities’ (p. 136).

Communities like The Student Room encourage usernames that are often pseudonyms,

rather than the person’s real name, to protect identities.

Communities of fantasy

Escapism online often occurs via online games where individual users are identified

by an alter ego or avatar. To support game playing and improve practice there are

hundreds of forums for players of games such as Call of Duty, Minecraft and others.


Ethical Insights Dating Deception

One community where strategic self-presentation and deception are prevalent is dating sites, as the

goal is to gain as many romantic opportunities as possible.

Exaggeration, fabrication of characteristics and portrayal of a better ‘ideal self’ is commonplace

in online dating and has been explored significantly by many researchers.

Interestingly, Rosanna Guadagno, Bradley Okdie and Sara Kruse (2012) discovered that greater

numbers of men lie and change their characteristics in online dating sites than women …

So be careful who you’re connecting with online!

To protect their online identity participants create an alter ego using names such as

BULLET_PROOF101, ShadowCatVA, CAMANDERWOLF and destroyer1702.

Consumption communities

Business support groups can be both consumption communities and brand commu-

nities. For example, Apple shares details of its online communities which are often

based on the device owned and your location. They share similar goals even though

their web appearance is totally different.

Brand communities

Brand communities can be brand-owned or fan-owned, and, according to Relling

et al. (2016, p. 107), ‘Brand communities offer effective means to achieve favorable

brand outcomes, such as enhanced consumer brand loyalty.’ There can be a brand

community for almost anything, from cars to toys, from film star fan clubs to pop

groups. The challenge is that not everyone behaves well inside brand communities

and they can be used as a place to complain (see section 5.6.3 Responding to com-

munity feedback) and troll other members.

Social networks

Networking or partnership communities can be focused on the extension of a social

circle, with little or no pre-determined context, such as Facebook. These are typically

social network communities.

Online social network communities can be established based on demographic features,

such as those shown in Table 5.2.

Table 5.2 Demographic features within online communities

Feature Details

Gender Groups established based on gender or sexual preference

Language/Culture Communities created based on language, culture, or other forms of social identity

Location Local or regional online networks


Feature Details

Social status Communities established due to educational or other connections, such as

alumni groups

Vocation Limited to certain job roles

Workplace Organisations can establish dedicated work groups where they try to establish


One of the challenges with social networks as online communities is that we may post

and share much more than we mean to. This has been investigated by researchers

and is known as self-disclosure theory. This considers what we post online and why.

We are what we post

Hope Schau and Mary Gilly extended the theory of self-presentation (see above) to

develop self-disclosure theory in their article ‘We are what we post? Self-presentation

in personal web space’ (Schau and Gilly, 2003). Their analysis of personal websites

aimed to understand why someone discloses their personal details online. Their

findings indicated that the drive to self-disclose is to communicate with others and

to display different selves online. They commented that ‘consumers use multiple self-

presentation strategies to construct digital collages that represent the self’ (p. 390).

Apply this to your self-presentation and you may have one representation of yourself

on a university hall’s Facebook page, a different one on LinkedIn and your WhatsApp

self may be totally different. You’re building a patchwork or collage of your identity

online which is generally OK, unless it all comes together and shares too much detail!



Hope Schau and Mary Gilly’s (2003) article is a good starting point on self-disclosure

theory: ‘We are what we post? Self-presentation in personal web space’, published in the

Journal of Consumer Research.

See also Stephen Cory Robinson’s (2017) article ‘Self-disclosure and managing privacy:

implications for interpersonal and online communication for consumers and marketers’,

which was published in the Journal of Internet Commerce.

Taking this one step further, Jihyun Kim and Hayeon Song identified two types of

online self-disclosure – professional and personal – when they were exploring celeb-

rities’ self-disclosure (Kim and Song, 2016, p. 570).

Well-known individuals are stuck between sharing sufficient information so that their

audience continues to follow them and balancing this with trying to maintain some

privacy. As an example, singer songwriter Ed Sheeran quit Twitter, having joined in


October 2009 and gained millions of followers. His @edsheeran profile was changed to

‘I don’t use this anymore, please follow me on teddysphotos on Instagram, lots of love x’.

One of the challenges with self-disclosure is known as the ‘privacy paradox’ (Barth and

de Jong, 2017), where users post and share significant amounts of information online

but are either consciously or subconsciously concerned about their online privacy. The

privacy paradox suggests that there is a gulf between actual behaviour and attitudes

towards privacy, although researchers Philipp Masur and Michael Scharkow discovered

that young people are concerned with their online privacy, contrary to popular opin-

ion from their parents and others (Masur and Scharkow, 2016, p. 10). The challenge is

managing the amount of disclosure. Susanne Barth and Menno D.T. de Jong from the

University of Twente in the Netherlands have written a helpful review article, published

in Telematics and Informatics, about the privacy paradox and looking at earlier research

in this area: it is entitled ‘The privacy paradox – Investigating discrepancies between

expressed privacy concerns and actual online behavior’ (Barth and de Jong, 2017).

Activity 5.1 Your Privacy Paradox

1. Assess your online profile to explore your online shared data, saying where the data exists

(i.e. Facebook, Pinterest, Twitter etc.)

2. How much do you reveal?

3. Do you have to login to see the data or is it available publicly for anyone to see?

4. How do you feel about this?

5. Discuss with your classmates.

See Template online: Privacy paradox checklist

With the development of so many social media platforms and so much self-disclosure,

a new business has emerged – social media cleaning tools. They look for negative

content such as: inappropriate and questionable content, sexually explicit content and

content containing alcoholic beverages. One example is Rep’nUp (,

which checks for potentially damaging content and is popular with recent graduates

before they meet employers who might peek at their Facebook pages!




Having considered why communities matter to individuals and the diverse types

of groups, we need to understand the role of organisations in online communities.


The first factor is that if there are advantages for organisations, they will create

communities and the benefits of online communities for organisations have been

established by many researchers. From different sources I’ve assembled the five ben-

efits of online communities for organisations:

1. Product discussions

Ensuring your product or service is positively promoted is a key factor in brand

awareness. The ability to gain product discussions within an online community

where customers promote the product to others is valuable and more authentic than

the company trying to emphasise key features. When examining brand mentions,

Godes and Mayzlin (2004, p. 558) noted a salient ethical point: ‘consumers’ decisions

to participate in online communities is undoubtedly made without the consideration

that firms may be observing these conversations and drawing inferences from them’.

2. Tools to influence sales

Similar to having product discussions, researchers Mavis Adjei, Stephanie Noble and

Charles Noble identified that as consumers could communicate with each other in

brand communities, they were successful in promoting sales because these conversa-

tions could reduce uncertainty and encourage purchase (Adjei et al., 2009).

3. Interaction between customers and

non-paying customers

Nguyen and his colleagues examined implications for price perceptions in online

travel communities (2015) and discovered that these communities included custom-

ers as well as non-customers, acting as advisors. The benefits to the organisation

are to convert non-customers, although that was not the focus of their research. The

work showed that organisations can comment on discussions taking place and better

understand issues around pricing.

4. Passive engagement is an effective

marketing tool

Writing in the Journal of Marketing Research, Christian Homburg and his colleagues

studied consumer sentiment and in particular the impact of whether the organisation

should adopt an active or a passive role within the community (Homburg et al., 2015).

Their findings showed that consumers can react badly where organisations step in to

the conversation. There are some short-term gains, but over time, there are diminishing

returns. So the advice is observe silently and contribute to specific areas such as product-

related blogs, rather than automatically joining in with all discussions. It’s worth noting

that this research was focused on online forums, rather than specific social media spaces.

5. Positive brand exposure is achieved

via followers

Whilst Homburg’s research used forums as the group being investigated, Noor Farizah

Ibrahim and her colleagues looked at how brands responded to questions specifically


on Twitter. This microblogging environment is different from a Facebook or other

brand community. The results were different and showed the benefits of brands

replying and trying to help customers when asked (Ibrahim et al., 2017). It may be

that more research is needed looking at both forums and social media networks, to

gain a real comparison – it’s a very large project!

If you apply this to your own practice, there may be influential communities that

you follow. These could be individual or groups of bloggers or YouTubers. They may

positively or critically endorse a brand. Organisations need to understand where their

influential groups are online and either monitor, participate in or support the content.

Activity 5.2 Identify Your

Influential Communities

1. Find your influential communities. These are likely to be the communities that others talk

about and you may even be a member!

2. Consider your first, second and third most influential communities.

3. Identify what they are called, where they are based and whether they are platform-specific,

such as only on Instagram:

� What’s the topic or area of interest and is this an official or unofficial group?

� Is it a public group open to anyone or do you apply for membership?

� What else do you know about the community?

� When you have completed the template, share results with your classmates.

� If you are on placement, apply this to the organisation where you are working. What are

their influential communities?

See Template online: Identify influential communities in your market sector


Business-to-business social media platforms, such as LinkedIn, have been popular

spaces for companies in particular to establish online groups. However, there are

said to be over two million groups on LinkedIn alone, yet many are barely attended

and are either dormant or dying.

Microblogging platforms such as Twitter work well as a customer service system, as long

as there are sufficient trained staff to respond. Yet blogs are often perceived as the com-

pany space and trusted less, as are company-moderated websites. At the other extreme,

personal social media platforms such as Facebook do not always welcome large brands

moving into private space, as it can be intrusive (see Key Term – the uninvited brand).

The challenge is that as there are benefits, every organisation wants to start its own

community. It’s not easy and establishing an online community requires a clear pur-

pose, as well as ongoing maintenance. This all demands dedicated resources and

there may be alternative solutions, such as participating in pre-existing ready-made

communities or doing something totally different!



Another critical matter is whether the organisation should establish a community at all. Susan

Fournier and Jill Avery (2011) conducted critical work into the concept of the uninvited brand,

where a brand barges into your personal space when you are least expecting it. How would

you feel about this? As Fournier and Avery said:

Brands rushed into social media, viewing social networks, video sharing, online com-

munities, and microblogging sites as the panacea to diminishing returns for traditional

brand building routes. But as more branding activity moves to the Web, marketers are

confronted with the stark realization that social media was made for people, not for

brands. (p. 193)

This raised the question of brands staying out of social media communities and whether brands

should be interrupting conversations, or embedding themselves into communities, to provide

advice and support where relevant.

Let’s investigate the critical factors to consider before establishing an online community.



Before establishing an online community, organisations need to answer essential

questions such as:

• What is the aim or purpose of the online community?

• What are its specific objectives?

• Have any Key Performance Indicators (KPIs) for our online community been


• What will be the community name?

• Is the preferred name available in the relevant social media networks?

• Where will the community be based (i.e. in a specific location such as Facebook

or LinkedIn)?

• What does the community cover, in terms of focus or subject?

• What is not included in the community?

• Who will join the community? Existing or potential customers or both?

• Why will they join this community?

• What will make the community members participate?

• What will make the community members continue to return after joining?

• Who will create the content for the community?

• What will be the benefits of the community?

• What are the competitors to this community?


If you are working on placement or recently graduated and your boss suggests that

they would like you to develop and manage an online community, you need to answer

these questions and the organisation needs to commit to a long-term strategy, as well

as dedicating resources to the endeavour. It’s worth involving others in Activity 5.3

to test whether or not the online community will be successful.

Activity 5.3 Planning an

Online Community

Using the online template listing factors to consider before establishing an online community, look at

each question and provide a response. If some questions don’t have an answer this indicates either

that there are knowledge gaps or that the community is unlikely to be successful.

If you are not on a placement, select a successful community of your choice and work through the

questions to see how many can be answered.

Also identify a community that is less successful and provide a response. Reflect on where the

gaps exist and why this may be the reason for the lack of success.

See Template online: Planning an online community

One of the arguments in favour of establishing an online group is that customers have

established their own group, representing the organisation, or perhaps purporting to

but disseminating myths and fabrications. At this stage it is often better for a brand

to create an official space as well as supporting the unofficial groups.

Alternatives to creating your own organisation’s group include the formal endorse-

ment of a fan or customer group, providing supporting information and cultivating

brand ambassadors to convey correct information and reinforcing brand messages.

Digital Tool Create a Facebook Fan or

Brand Page

• Think about a favourite film star, singer, brand or other entity.

• Log in to Facebook (or possibly join!)

• Go to

• Follow the steps online and create a Facebook fan page.

• What content do you need to make this a great page?

• What knowledge gaps has this shown about your chosen favourite?

And don’t worry! You don’t need to publish until you’re ready – it’s a great way to try building a fan

page and better understand the content required.



If you already have an online community or have decided to establish an online

community, the next stage is to manage the community. Managing the community

doesn’t mean controlling it, but it does mean responding to queries, providing

information and supporting any brand ambassadors who are answering questions

on your behalf.

Managing an online community requires resources in terms of people, time,

technology and finances. One query to be addressed from the start is whether

to have real people and real names as the community managers, or whether to

have pseudonyms or nicknames. Pseudonyms are common amongst social media

users and also used by some firms, although this lacks authenticity and should be

avoided where possible.

London Northwestern Railway uses Twitter as its online community for service updates

and mentions the real names of staff, as the example in Figure 5.1 shows.

Figure 5.1 Example of London Northwestern Railway Trains’ use of Twitter as a customer

service channel



customers’ needs

Working with them to

create new products

(co-creation) based

on those needs

Launching the new

products within the


Managing issues

before they become

major headaches

Sharing news with

the community

Co-creating content,

products, promotions

and more

Listening to

customers’ news –

good and bad

Monitoring your


Responding to your

customers online

Figure 5.2 Key factors in online community management


Online community management is a catch-all phrase that is about key factors, as

shown in Figure 5.2. The challenge when working in these organisations is balancing

all these factors at the same time.

Smartphone Sixty Seconds® –

Online Community Manager Jobs

• On your mobile phone go online and search for ‘online community manager jobs’.

• Select one job site.

• How many jobs did you find?

• How many of the above factors were included in these roles?


When managing an online community, it is essential to establish the rules of engage-

ment. This allows the community members to understand how the community works.

Rules of engagement may include those shown in Table 5.3, although your organisa-

tion may only need one or two of these rules, as many may not be relevant.

Table 5.3 Rules of engagement examples

Rule Example

Legal or moral restrictions Age limits may be required with topics around alcohol and gambling.

Definition of ‘troll’ activity and how

you will manage it

We won’t tolerate abusive or offensive behaviour.

Use of profanity or hate language We’ll block posts containing sexist or racist language.

Although we don’t want to censor any conversations within our YouTube

community, as part of the overall YouTube policy any offensive posts to

other users, or using expletives, will be deleted by our YouTube team.

Handling promotion of competitors

or solicitation

If you’d like to sell products or services, please email details to (name).

Criminal activity Be aware this is a public space and avoid fraudulent, libellous


Inappropriate content Inappropriate content such as pornography or violence will be blocked

and users will be banned.

Spam, link baiting, or propagation

of viruses or malware

Any spam or malicious content will be removed and reported to the

relevant authorities.

Rules around being nice to staff Please be nice as we’re real people trying to help!

Managing expectations around

response times

We’re here from 8am until 8pm and aim to respond on the same day.

Contact details to redirect serious

or private issues

Never share personal order numbers or address details. Message us

and we’ll respond.


Typically, organisations make the rules of engagement visible within the social media

platform in obvious places, for example:

• Microblogging platforms: in the bio

• Social network and video platforms: on the profile photo or ‘about us’ or ‘descrip-

tion’ or ‘community rules’

• On blogs and websites: as an occasional post or in ‘guidelines’


In addition to providing rules of engagement (see Table 5.3), when building a com-

munity some form of editorial tone of voice and editorial calendar (see Chapter 4,

Content Marketing) will need to be developed, so that the organisation is speaking

with the same voice and conveying the same messages, across all platforms.

This addresses whether the organisation provides guidelines about the frequency of

content and types of responses that can be provided, for example:

• How frequently postings are created

• How frequently postings from the community are read and responses provided

• Whether individuals are named as community managers or if all posts are issued

by ‘the organisation’

• If posts are moderated

• Whom to contact if help is needed (e.g. to report inappropriate content)

Community lifestages

Whether you are building or starting a community, it is useful to note that communi-

ties evolve through different lifestages, not dissimilar to the concept of a product life

cycle. Douglas Atkin created a model of community lifestages, as shown in Figure 5.3.

This model demonstrates the different work required by the community managers at

the different stages. Let’s look at each of these stages.

Birth – community being launched

At this early stage it is critical to define the purpose, goals and membership profile of

the community. With clear goals and membership criteria it is easier to grow. If there is

no focus and the group is open to ‘everyone’, it is harder to encourage people to join.

In terms of recruitment, there should be a focus on recruiting doers and contributors

who will promote the community. It is also important to make the community look

attractive with a range of content, so there is a reason to come back to the community

and explore what’s new.

Nurturing new members is essential to ensure that they feel welcome and you should

encourage interaction between members. This connects back to Granovetter’s concept

of tie strength (see section 5.2 Why do communities matter?) where you stimulate

time spent in the group and familiarity between members.


• Escalating growth

• More interaction

• More sophisticated tools

• Viral Loop tools

• Growing sense of group


• Increasing sense of

ownership by members

• More organic growth, less


• Identify leadership team

• Slow growth

• Limited interaction

• Basic tools

• Low sense of


• Low autonomy

• Seek core contributors

• Heavy promotion

• Group is large and

identi�cation is weakening

• Needs are evolving: more

speci�c and narrower

• Original group plateaus in size

and may even decline in


• Leadership may burn out

and may change

• Spawning tools needed

• Leadership-change tools


• Time to start a movement?


+ SPAWNING• Growth rapid

• Strong interaction

• Sophisticated tools

• Strong sense of

belonging and identity

• Mostly autonomous

• Organic growth

• Grow leadership











Figure 5.3 Community lifestages model


Adolescence – community established and

starting to grow

Once the community has become established you may need to adopt more sophisti-

cated interaction tools to monitor comments and respond (see Digital Tool: Disqus.

com). Earlier in this chapter we looked at research from both Christian Homburg

and his colleagues and Noor Farizah Ibrahim and her colleagues who all studied

consumer sentiment and in particular the impact of whether the organisation should

adopt an active or passive role within the community. The findings were mixed, as

the results from both research groups suggested both options. Whether you adopt

a passive approach and sit in the background or jump in and respond to comments

depends upon the audience and the platform used.

As the community grows you may need to develop tools for members to recruit others.

It can be easier for members to find new members – they are often similar people.

And whilst, as we saw above, Dale Ganley and Cliff Lampe (2009) suggested that a

difference between traditional and online communities was the lack of structure, for

a community to thrive, you may need some structure and to identify a leadership

team and roles to share the workload, as well as ensuring that some members are

emotionally engaged and spend time in the group. The other consideration at ado-

lescence stage is to organise member-management dashboards and metrics to better

understand the results being gained from the group.


Early maturity – established community

Once the community is working well with the desired initial number of members,

you will need more manager and community ambassadors to respond to queries and

provide information. This may also be (and sit down whilst reading this) the time to

bring the online group into an offline state! This could be by offering other meeting

options which some groups achieve via ‘tweetups’ – real-life meetings of a Twitter

group. This is best achieved by asking the members to see if they want to form sub-

groups or local groups and of course if they want to meet up.

The content will need to continue to engage and bring members back to the com-

munity which means that more interactive content will be needed (see Chapter 4,

Content Marketing).

Late maturity and spawning

Big groups are challenging and often lead to sub-groups and smaller groups splitting

away. The overall group identity may be diluted and it is important to develop a succes-

sion plan and continue the long-term future of the group. The way to start the process

is to review the community goals and decide what still works and what needs changing.

Digital Tool

Disqus is a web plugin tool that allows you to monitor comments from the community and respond. It

can be added to a website or blog, where there is community engagement. It’s popular as it blends

into the look and feel of your site and allows real-time comments.

The program has a free option (with adverts) and paid-for options.


Online communities provide a forum for community members and others, to share

feedback about the organisation in public. This can include compliments as well as

complaints and online community managers need to know how to respond, to both

positive and negative comments, in the community.

Case Example 5.1 Argos and

Customer Complaints

An example of directness, which moves swiftly into spite, is shown in Figure 5.4, where UK retailer

Argos had many angry customers taking to Twitter and explaining that the traditional telephone

route was not working.



Figure 5.4 Example of customer complaining behaviour – directness

This case example demonstrates a lack of online and offline integration. The call centre team may

not have been aware that there were complaints on Twitter. If they were, they could have issued

messages to advise customers about the call wait times.

Case Questions

Imagine you are working for a well-known organisation, in their online community management

team. You are managing a team and there has been an issue where things have gone wrong, for




• Transport company – a strike or cancellations

• Retailer – late deliveries

• Other company – calls to this number are taking an average of 30 minutes to answer.

Consider the organisation’s typical online tone of voice and based on this, what are your recommen-

dations as to how the team should address unhappy customers?

• Prepare a list of all the possible complaints that may be raised.

• Create some stock phrases they could use to pacify or reassure the customers.

• Consider who else should be involved in the process to respond to customers in this situation.

By their nature, most communities are open for membership and viewing, which

means that it may be the easiest place to complain. Gregoire et al. (2015) explored

the role of social media in the customer complaining process. They started by

considering the customer complaining process based on an initial service failure –

that’s when something goes wrong – that occasionally then enters the realm of ‘dou-

ble deviation’, where it goes wrong again. Figure 5.5 shows the types of behaviour

based on these situations.

Initial Service Failure

Double Deviation

(service failure followed by failed recoveries)

Competitors’ Responses



Competitors amplify the

situation (ugly)

Competitors’ tweeter,



Negative publicity about

recovery (ugly)

User content-generated

media (e.g., YouTube)


Online third-party

complaining (bad)

Third-party website,

blog, or newsletter

Customers’ tweeter,

Facebook, blog


Positive publicity about

recovery (good)


Negative WOM without

contacting �rms (bad)

lnstagram, Pinterest,

Flickr, review sites

Tweeter, Facebook


Voicing directly to �rms

through SM (good)




(rarer and rarer)

Figure 5.5 The place of social media in the customer complaining process

Source: Gregoire et al., 2015, p. 174


It is useful to understand why people complain, especially across social media, and

the work by Gregoire, Salle and Tripp included a typology of social media complaints,

which is summarised in Table 5.4.

Table 5.4 How to manage different types of online complaints

Type of complaint Details How to manage

Directness Directly contacting the company online, through

tweets or the company Facebook page, to

constructively request resolution of a service


• Respond quickly!

• Acknowledge within 1 hour

• Basic issues: try to solve online

• Complex issues: use a private


Boasting Spreading good word and positive publicity via

Facebook or Twitter about how well the firm

resolved the complaint

• Thank the customer

• Retweet and share – not too


Badmouthing After the first service failure, spreading negative

word-of-mouth through one’s Facebook

network, tweets, blog, or YouTube account – all

without ever contacting the firm

• Be proactive and acknowledge

• Try to move to private channel

• Publicly present the solution

Tattling Complaining to a third-party website, blog, or


• Try to resolve

• Expensive and late are better

than viral and legal

• Consider sharing

circumstances, provide context

Spite After the firm botches its response to the initial

service failure and complaint, thus failing the

customer twice, the customer spreads negative

word-of-mouth with a heated vengeance via

user content-generated media (e.g. YouTube).


• Publicly acknowledge

• Try to negotiate and

compensate in person

Feeding the vultures A competitor not only takes joy in the firm’s

mishandling of the complaint, but uses social

media to amplify the mistake to steal more of

the firm’s customers

• Be gracious in defeat – not

much else you can do

However, most companies tend to manage customers’ negative feedback within the

online community and ignore opportunities to respond to positive feedback. As a

result, negative feedback is often generated online because the traditional methods

for customers communicating to staff are not working. Either it takes too long to

respond to phone calls, or the required response simply does not arrive.

Case Example 5.2 Marmite

Double Deviation

An example of double deviation by a firm is shown in Figure 5.6, when a campaign has backfired

due to orders not being fulfilled, but worse still, those responding on social media are not correctly

reading, or understanding, the messages.


Formal language

Informal language

Over 10 days

Response says 7

days which does

not make sense

Figure 5.6 Example of double deviation by an organisation

One of the challenges in this example is that the response does not listen to the customer. The second

customer is saying it has been over 10 days since the item was ordered and the online community

manager at Marmite is saying delivery takes 7 days.

In the case example the tone of voice and language used is also inconsistent. The

first response is very formal (‘will be able to assist your further’) and in the second

this is less formal (‘hi guys’ and ‘who’ll be able to give you …’)

A critical factor is ensuring the team has been properly trained and briefed and all

use the same tone of voice. The Marmite case example shows that the language on

this Facebook page is less formal, more fun and quite chatty, but this is not reflected

in their response to issues. Reasons for this may be:

• The situation was worse than the company realised, so they brought in a third-

party company to manage the online responses as the regular team was unable

to cope with the number of responses. The outsourced team has a different style

and tone to those in-house.

• Lack of training. Newer members of staff are involved in the situation and have

not been fully trained.

• Management are not committed to the community and have decided it is not

worth investing in training.

• The responses are semi-automated (copy-and-paste block responses) so they fail

to address the real issue.

Complaining online will grow and online community managers need to recognise

the types of complaint and respond accordingly. When managing online communi-

ties, the rules of engagement need to be established with customers, to ensure that

processes are clear.




From time to time things go badly wrong and an issue becomes a crisis. For this you need

expert help and can discover more with this textbook:

• Effective Crisis Communication: Moving From Crisis to Opportunity, 4th edition (2018), by

Robert R. Ulmer, Timothy L. Sellnow and Matthew W. Seeger.


1. Find a brand that you admire and select one of its online communities. Identify

whether there are complaints in these communities and evaluate good and weak

practice of how these are managed. Make recommendations to improve the

responses where relevant.

2. To what extent is it essential to establish an online community? Analyse the

advantages and disadvantages of creating an online community for (a) a travel

firm, (b) a clothing brand, (c) a music organisation.

3. For an organisation of your choice, create a plan to build a community that is

engaging and thriving.


This chapter has explored:

• The development and types of online communities.

• The role of online communities for organisations.

• Ways to manage online communities including rules of engagement.

• Best practice in building online communities.

• Responding to community feedback and online complaints.




When you have read this chapter, you will be able to:

Understand the mobile ecosystem

Apply a promotional campaign for a new app

Analyse options for potential applications for iBeacons

Evaluate mobile adverts’ adherence to a recognised code of conduct

Create a mobile app or an advert for an app based on key principles


When you have worked through this chapter, you should be able to:

• Check an organisation’s website to see if it is mobile friendly

• Understand and describe the options for mobile advertising

• Use wireframe tools

• Understand the costs involved in app development

• Check and resolve location accuracy for organisations.



Mobile marketing is an area of business growth, as devices are usually a few centimetres

away from the consumer. Whether in a pocket, handbag or on the desk, mobiles are

the one instrument we carry with us at all times.

Mobile devices bring additional challenges to the digital marketing landscape and

this chapter explains the different functions and purposes of wearables, mobiles and

apps and how these can be used for marketing.


Since mobile phones were launched in the early 1980s, to the unveiling of the first-

generation iPhone in 2007, mobile phone acquisition has increased every year. Over

90% of adults in the UK own or use a mobile and most of these are smartphones

(Ofcom, 2017). In the United States, the number of mobile (or cell) phone subscriptions

is greater than the population, indicating a trend to own a second phone, probably

for work (World Bank, 2017).

We are now at a stage where people are concerned if they leave their mobile phone

at home and mobile phone dependence has become the norm. Whilst there are rec-

ognised benefits of mobile phone usage, more addictive behaviours are developing

where individuals need to pick up and check their phone many times a day (Tossell

et al., 2015).

There is a good quote from Abdullah Sultan, who wrote in the Social Science Journal

‘today, it is not uncommon to observe couples or friends eating at restaurants where

everyone at a table is using WhatsApp to text others rather than holding face-to-face

conversations’ (Sultan, 2014, p. 58).

Two sources that contain data on cellular subscriptions and global information about

mobile phones include the World Bank (

SETS) and

Writing in the Journal of Interactive Marketing, two marketing professors, Venkatesh

Shankar and Sridhar Balasubramanian, provided an early definition of mobile market-

ing as ‘the two-way or multi-way communication and promotion of an offer between

a firm and its customers using a mobile medium, device, or technology’ (Shankar

Table 6.1 Mobile marketing implications

Feature What this means Benefits to marketers Be aware of

Location specificity Built-in GPS Can target users in specific

physical locations

Privacy issues

Portability The constant


Makes it easier to

communicate quickly

Small screen size means

smaller messages

Untethered/wireless No wires and easier

to use anywhere

More opportunities to

convey marketing messages

As used for short bursts of time,

concise messages are needed.

Source: Adapted from Shankar and Balasubramanian, 2009, p. 119


and Balasubramanian, 2009, p. 118). They explored mobile phone adoption in their

research using the Technology Acceptance Model (which we explored in Chapter 2,

The Digital Consumer) as perceived usefulness and usability were key factors with

mobile devices.

They summarised the key features and implications of mobile marketing, which I

have adapted in Table 6.1.


Mobile commerce

Mobile commerce, which is also known as m-commerce, revolves around:

• Online sales (whether through ads to the main or mobile website)

• In-app purchases (part of mobile advertising)

From a business perspective mobile marketing can be used for business to: build

lists; send promotional messages; deliver appointment reminders; chat now; share

order and delivery details; send invitations; vote; provide coupons; generate orders;

and collect payments.

Google ( and Bing (

insights/your-roadmap-to-mobile-advertising) have created content about mobile

marketing, sharing insights and key facts. The critical factor is that the mobile

phone has truly created ubiquitous computing (see Key Term, p. 4) and we are

always connected.

Mobile websites

We don’t speak about mobile websites as much as we used to, as most websites are

now constructed for mobile. There was a time when if you looked at a website on

mobile you had to keep zooming in to see the words. Today most websites are designed

for mobile, especially after Google said it would register the mobile friendliness of a

website in its search formula. Websites are classed as mobile friendly when they are:

• Responsive – a single website is constructed which responds to the size of the

device being used

• Adaptive – different websites are constructed for desktop and mobile sites

Responsive websites are a better option as only one set of updates is required. The

main reason that adaptive websites exist is for legacy websites with significant amounts

of content where it is too expensive or not feasible to deconstruct and start again.

Google has created a website where you can check to see if your website is mobile

friendly. See and enter in the website

URL, click ‘test’ and watch the results instantly.

The business impact of mobile has been recognised with the formation of a dedicated

industry body association, the Mobile Marketing Association, which has organised a


formal code of conduct for mobile marketers which focuses on five categories (Mobile

Marketing Association, 2008):

1. Notice – Mobile marketers must provide easy ways to identify terms and


2. Choice and consent – Users must opt in and should be easily able to withdraw


3. Customisation and constraint – User information should tailor communications

and mobile marketers should limit messages where requested.

4. Security – Mobile marketers should protect users’ data.

5. Enforcement and accountability – Members are expected to abide by the code.

Activity 6.1 Evaluation of the Mobile

Marketing Association’s Code of

Conduct for Mobile Marketers

The Mobile Marketing Association has created a code of conduct (visit with

five categories.

1. Using this code of conduct critically examine a recent mobile advert that you’ve received.

2. Consider each of the elements with the Mobile Marketing Association’s code of conduct for

mobile marketers and examine how closely these conditions were, or were not, followed.

See Template online: Evaluation of the Mobile Marketing Association’s Code of Conduct for

Mobile Marketers

The Mobile Marketing Association’s report, ‘The State of Mobile Marketing in EMEA’,

highlighted drivers in the mobile landscape with two key trends: (a) increased dis-

ruption to all markets and (b) the growth of mobile payments (Mobile Marketing

Association, 2017).

Increased disruption

As mobile becomes mainstream with nearly all consumers owning mobiles, mobile

marketing is disrupting traditional marketing efforts because it:

• Delivers ubiquitous computing, sharing direct access to technology at any time

and place.

• Provides instant access to software, whether that’s an app, voice search or online



• Permits the ability to check prices, compare online and offline, on the spot.

• Enables easier processes to order food, book transport, secure accommodation

and buy tickets in real time.

• Incorporates a digital wallet, a means of paying by phone.

• Shares online reviews, which means you could read and subsequently change

reservations, based on feedback from strangers!

This all means you could be about to purchase an item, book a meal, reserve tickets

and find other relevant information online and change your mind. The traditional

buying process is disrupted and those offering services need to change the way they

work, to adapt to this new environment.

The challenge for business is readiness to adopt the technology (for more on this see

Figure 7.2 Technology Readiness Scale, p. 186). Agencies feel that clients are not ready

for mobile and, at the same time, clients have not identified collaboration partners.

The issue may be that mobile marketing strategies are not yet in place.


The mobile ecosystem delivers key benefits for users. A mobile phone provides:

communications, media capture, media player, apps and games, personal database,

concierge services, location services, barcode scanner, and it’s a wallet as well. Let’s

explore all these benefits.


Mobile phones were originally designed for voice communications and mobile devices

have now become the key method of social contact, whether it’s via short text mes-

sages and instant messaging apps including Facebook, Snapchat and WhatsApp, or by

making voice and video calls. We have adapted our communication styles and have

introduced a new form of language called textese (see Key Term).


Described by Alfonso Sánchez-Moya and Olga Cruz-Moya in an article about WhatsApp:

Textese as a language variety in Whatsapp shares most of its linguistic and discourse

features with electronically mediated language. (Sánchez-Moya and Cruz-Moya, 2015,

p. 301)

Media capture

Initially some mobile phones provided a camera function and this evolved from

basic media capture into video, adding effects to images and enabling self-portraits,


known as ‘selfies’, which was the Oxford English Dictionary word of the year for

2013 (Oxford Dictionary, 2013).

Media playing

Media playing and sharing options, whether listening to music, podcasts, watching videos

or films, is another aspect of mobile devices, as are apps and games. There are said to

be over two million apps available (Statista, 2017b) and the key for developers is adding

greater usefulness or functionality to ensure users continue to open and use the apps!

Personal database

Your mobile holds your personal database – the lists of your contacts, their phone

numbers and email addresses. This is one of the most valuable assets within a mobile

phone. Plus, the ease of transferring the data from one device to another has become

simpler over time.

Concierge services

There is also another aspect of mobiles we could call ‘concierge services’, which comprises

appointment or birthday reminders, through to storing hotel reservations and mobile

ticketing for trains, airlines and buses. These are part of a smartphone’s typical offer.

Location services

Location services facilitate the discovery of what’s near me now, from coffee shops to

the next train home, which has added greater utility to mobile devices. There is also

the possibility to share location details with family and friends, which is facilitated

through GPS technology.

However, there are also challenges! You may not wish to share your location with peo-

ple you don’t know. Government agencies can and have tracked individuals. Whereas

this seems reasonable when following felons and criminals, this data can be used to

harm individuals where their otherwise normal behaviour contravenes local laws.

George Argyros and his colleagues explored the ‘privacy guarantees’ of Facebook and

nine other online networks, including dating platforms Grindr, MeetMe and Tinder.

They looked at real-time people tracking and identified vulnerabilities within differ-

ent services which meant that you could be tracked by third parties when this was

not warranted or wanted (see Argyros et al., 2017).

Barcode scanners

Bar code scanners and QR code readers can enable easy access to information where

you can compare prices of goods, see more details about an item or perform specific

actions (see the Case example of Gatwick Airport in Chapter 7, p. 197).

QR codes have evolved into augmented reality tools and, as an example, universities

often have access to Blippar and Aurasma to turn flat 2D posters into 3D information

videos (see Chapter 7 for more).


Ethical Insights Maps for Stalkers

Most of us have enabled our location services, the GPS on our mobile. We might use ‘Find My Friends’ to

see if they are near us now, or perhaps you might find your friends on the Snap Map or via WhatsApp.

And if you are using dating apps, there is a good chance you are looking for people ‘near me

now’ and so are they.

But what if you are being stalked? According to Brett Eterovic-Soric and his colleagues, stalkers

are most often someone you know (Eterovic-Soric et al., 2017).

Although you can cloak your location via ‘ghost mode’ so your location is not visible, this is not

guaranteed. As an example, whenever you post a story to Snapchat, it shares the location of the

person posting the story. Plus, if your friends are tagging you and sharing their location, privacy leak-

age occurs, so you are never invisible online.

Mobile wallet

The ability to create a mobile wallet or mobile payment system, whether you have

added a credit card or pay as you go, has meant the only device needed when you

leave home is your mobile. Mobile payment types and examples of the different pay-

ment applications include:

• Mobile wallet which re-charges a credit card, such as Google Wallet, Apple Pay,

Samsung Pay

• Mobile peer-to-peer payment system with services like Venmo, Facebook

Messenger, Paym

• Pre-loaded credit cards into an app, typically used for convenience apps such as

parking apps (PayByPhone, DashPark, RingGo) and shopping apps (Amazon)

• Text to pay, which are often used for fund-raising where the user is invited to

‘text £5 to XXXX’.

As mobile payments have evolved, an ecosystem surrounding mobile payments has

developed. Figure 6.1 shows an example of the m-payment structure and with so many

partners involved in orchestrating a mobile payment system, it is not surprising that

it is the bigger companies such as Google and Apple that can develop these systems.

Samsung Pay was originally created by the team at LoopPay which Samsung acquired

in 2015, saving themselves the time to develop the technology!


Read ‘Study of mobile payment business model based on third-party mobile payment service

provider’ by Guoling Lao and Hanbing Liu, which was presented at an international confer-

ence on Management and Service Science, as this provides useful background information

(Lao and Liu, 2011).


Application developers

Payment service providers


Credit card companies

Mobile network operators

SIM card supplier

Technology vendors


Service and content provider



Device manufacturers

Financial institutions

Government organization

Regulation agencies

Figure 6.1 The structure of an m-payment ecosystem

Source: Guo and Bouwman, 2016, p. 63


Having started with mobile phones, mobile devices now also include:

• Phablets – a bigger mobile phone that’s a mini tablet

• Wearables – smartwatches, activity trackers and video glasses

• Implantables – devices implanted into the body


Researchers Chi Yo Huang and Yu Sheng Kao described a phablet as ‘an integrated

smart device combining the functionality and characteristics of both tablet PCs and

smart phone’ (Huang and Kao, 2015, p. 2). They also commented that the Samsung

Galaxy Note was the first commercialised phablet.


Abbey Lunney and her colleagues suggested that there are three categories of weara-

bles (Lunney et al., 2016, p. 114):

• Notifiers – that give information about the world around you, such as smart



• Glasses – which use eyeglasses to create augmented virtual reality

• Trackers – which use sensors to record data

Considering these three categories, the challenge is that the lines are blurred. Smart

watches can be notifiers as well as trackers. You can look at your smartwatch to see the

outside temperature, the latest news, the location of your next meeting, and equally,

these devices can be trackers, as they can record your activity and exercise achieve-

ments. The first smart watches were clunky and straight from Star Trek, designed

to be noticed. We are now seeing smaller, more discrete and better designed items

which are becoming pieces of jewellery.

Whereas most people think that electronic recording glasses started with Google

Glass, researcher Richard Chalfen placed this into the arena of digital camera technol-

ogy and commented that there was a long history of miniature spy cameras hidden

in cigarette lighters, pens and attached to clothing (Chalfen, 2014). Google Glass was

launched in 2012 and, although no longer available, the devices remain popular in

the healthcare sector and are being used in telemedicine.

An earlier version of recording spectacles was GoPro, a wearable camera, launched

10 years before Google Glass. The difference between the devices was the additional

functionality connected to augmented reality provided by Glass.

Wearable eyeglasses are no longer limited to augmented reality, they also act as mobile

video recorders, with Snapchat Spectacles providing this functionality, albeit limited

to downloading inside Snapchat. Richard Chalfen suggested that these cameras have

three objectives (2014, p. 299):

1. To record ‘exciting’ even unexpected scenes of action and locations seldom, if

ever, seen, to offer new, fresh, original and memorable perspectives;

2. To record what the camera user sees while undertaking a particularly unusual,

difficult and dangerous activity; and

3. To record what the camera user actually looks like or how the camera user

appears while actually participating in such a particularly unusual, difficult and

dangerous activity; in short, often ‘extreme’ sports.

The issue with wearables is understanding how they can, if at all and whether they

should, be used in mobile marketing.


Implantables are more complex and would need permission from various health

regulation bodies, although some are in development at the moment, for example:

• We already chip dogs as part of a pet passport system, so why not chip small

children? Adding RFID tags could help locate missing children.

• Academics at the University of Illinois are working on epidermal microfluidic

technology – smart tattoos that could open your car, gain access to conferences –

could this mark the end of the festival wristband?



We are addicted to our devices and can’t put them down, even when walking on busy pave-

ments and crossing the road. This has resulted in people bumping into other people or

lampposts, and a growing number of traffic accidents.

A description for these people was coined by the German dictionary Langenscheidt as

Smombie, a concatenation of the words Smartphone and Zombie. It was made the 2015 youth

word of the year (Langenscheidt, 2015).

Marketing application of devices

Having considered the different device types, how can brands harness these for mar-

keting? Table 6.2 shows the use of wearables for marketing, with a range of examples.

Table 6.2 Use of wearables for marketing

Device Sector/Company Example Issues

Wristbands (Nike




Offers free wristbands in return

for sharing health data

Free wristband but close

monitoring of personal health

data, exercise records

Wristbands Leisure/Disney The Magic Band – facilitates

hotel room access, ability to

unlock additional experiences

Can track all activity around

the theme park and direct to

less busy areas (might be less

busy for a reason). Can upsell

additional activities

Watch Airlines/Various Boarding passes on watch Opportunities to add

promotional messages near the

gate. Can’t board the plane if

your battery runs out!

Watch Insurance/Vitality Offers free iWatch in return for

sharing health data

Free watch but close monitoring

of personal health data,

exercise records. What happens

when the exercise stops? Do the

premiums increase?

Mobile app Pharmaceuticals/


MyAsthma tracks asthma

state and advises about

environmental conditions

Useful research data being

created, but possibly too much


Mobile app Skincare/Nivea Solar bracelet free from

magazines (tear out) and place

on child’s wrist and set maximum

distance they can wander; an

alert is sent to the app if they go

outside the set zone

Parents may get complacent in

thinking that the app is minding

the children!

A mobile phone is never more than a few centimetres away. A watch or fitbit is attached

from the moment you wake up, so this means that sending messages to your mobile

can be intrusive. On a personal level, I don’t share my mobile number as I am not


keen on sales messages appearing on my watch, so I find it an invasion of privacy

when companies send sales or promotional text messages.

The question is how do marketers use these platforms in more innovative and

effective ways? Vitality Health, in offering a free or low-cost Apple watch, have

found one clever mechanism for promoting a business benefit to a device. This is

a space we will see developing as companies explore innovative methods to con-

nect with customers.


Every new technology creates opportunities for marketers. One unmissed opportu-

nity has been the development of the mobile advertising industry. We will investigate

this but first we will look at advertising theory and how this features in mobile and

digital advertising.


Advertising theory was largely founded on hierarchy of effects models such as AIDA,

which stands for Awareness, Interest, Desire, Action (St Elmo Lewis, 1899, 1903) and

the notion is that consumers move through a linear process. Bearing in mind that

AIDA was created more than a century ago, it is just not how buying works today. If

you look at consumer journeys (see Chapter 2, The Digital Consumer) you can see that

they are now more complex. Yet equally, in a mobile world, they may be simpler as

(a) we may need something; (b) search or check an app; and (c) buy – so we simply

complete steps (3) desire and (4) action which removes half of the AIDA model and

renders this model redundant in the digital environment.

There are more complex models, supported by significant data, that have evolved

following decades of research. One model created in the 1980s was the elaboration

likelihood model of persuasion, which is also a hierarchical model, as consumers

move through a series of steps.

The elaboration likelihood model of persuasion

The elaboration likelihood model of persuasion (ELM) centres around the concept

of attitudes that guide decisions when processing information and making decisions

about communication messages (Petty and Cacioppo, 1986) and this is shown in

Figure 6.2.

When creating this model, the researchers, Richard Petty and John Cacioppo, added

involvement as a variable – we could call this engagement today – how engaged or

disengaged is the consumer with the offer?

The model starts with persuasion and this initially considers context, at a personal

level, and whether the offer has relevance and resonance for the consumer to be

motivated enough to process the information. Persuasion is seen as a process where

a favourable result, such as responding positively to an advert, is based on how the

user interprets the message.


This is followed by situational context and whether the consumer is able to process

the information when received. Think about your own situational contexts, such as

if you’re on a train with weak Wi-Fi, ads on your mobile may be irritating and the

ability to process may be reduced or removed. Both these factors influence how you

process the information.

The ELM suggested that there are two different routes to processing the information

and both are based on persuasion: (a) the central route; and (b) the peripheral route.

The differences between the two routes are when consumers have:



personal relevance; need

for cognition; personal

responsibility; etc.


distraction; repetition;

prior knowledge; message

comprehensibility; etc.



Attitude is relatively temporary,

susceptible, and unpredictive

of behaviour




affect; attractive

expert sources;

number of arguments;


















(initial attitude, argument quality, etc.)












Are new cognitions adopted and

stored in memory? Are

different responses made

salient than previously?









Attitude is relatively enduring,

resistant, and predictive of


Figure 6.2 The elaboration likelihood model of persuasion

Source: Petty and Cacioppo, 1986, p. 126


1. High involvement (personal or contextual) to process communication, which

involves greater cognitive processing effort, called high elaboration likelihood.

2. Where the motivation, ability or opportunity is low or consumers are unwilling

or unable to apply effort to process communication, this is low elaboration and

can be changed by peripheral persuasion cues.

As a hierarchy of effects model it has also been used as a construct in advertising

research by many academics. At the same time, there have been criticisms of ELM as

it takes a duality approach (either this way or that), it lacks rigour and is perceived

as being too qualitative to be measured (Bitner and Obermiller, 1985).

However, it has been used by many researchers investigating online ads, and as mobile

marketing centres around communication this model can help to inform advertis-

ers as to the variables of what works. Figure 6.2 shows the stages of the elaboration

likelihood model of persuasion.


As there is a process for advertising to gain acceptance from consumers through

persuasion, there are a range of mobile advertising options, as shown in Table 6.3.

Table 6.3 Mobile advertising options

Advertising format Explanation Advantages

Text messaging SMS messages with offers Easy to deliver

Mobile display ads Banners on web pages and in apps More effective for utilitarian

purchases, recognised brands and

higher involvement

Native mobile ads

in-feed social

Looks like a regular piece of content although

it must contain the word ‘ad’, ‘promoted’ or


Behaves like an ordinary piece of

content so easier to engage

Native mobile ads

in-feed content

Within editorial feeds and on news walls Matches site content

Native mobile ads

in-feed commerce

Retail product listings on site such as Amazon,


Same functionality as other product

listings and can prioritise specific

product listings

Native mobile ads


Ads that appear when you look at a map

and see nearest coffee shop or takeaway


Users are less familiar with the

location and may be actively seeking

services such as food or drink

Native mobile ads


Often used in games and free software, can

work on a rewards or points basis

Captures users in the moment

Native mobile ads paid


Typically these appear in search engines such

as Google, Bing and Yahoo

Users often searching with intent and

need the item at that time, so can

result in higher conversion rates

Native mobile ads

recommendation widgets

‘Recommended for you’ or ‘You may like’ widgets

often appear at the end of some content

Can drive traffic to specific content

Native mobile ads


A more expensive option as these are often

custom ads created by brands and can be

editorial, apps, games or videos which work

well with location data

Useful for brand awareness


Professor Dhruv Grewal and colleagues explored mobile advertising and created an

effectiveness framework, which is shown in Figure 6.3 and which comprises seven

components. These flag potential challenges and disadvantages of mobile advertising.

Firm Factors

Top Management


Big Data &


Omnichannel &


Firm Focus

(B2C or B2B)

Market Factors

• Nature of industry

• Market differences

• Variety of devices and


• Partnerships

• Regulations

• Privacy


• Place in consumer


• Past history

(purchases, ads


• Socio/psycho/



• Environmental:

Location, time,

weather, events,

economic conditions

• Technology: device,

delivery mechanism

availability, owned or

third party, another

screen presence

Ad Elements

• Ad medium

• Media type

• Push/pull

• lnteractive/


• Promotional


Ad Goal

• Awareness/

Attention to ad

• Engagement

(e.g. traffic)

• Purchase intent/


• Conversion

• Repurchase

• Advocacy

Outcome Metrics

• Behavioural


attitude, intent)

• Share (e.g. likes)

• Clicks

• Purchases

• Loyalty/NPS

• Digital WOM

Figure 6.3 Mobile advertising effectiveness framework

Source: Grewal et al., 2016, p. 4

The first of these is context, which concerns the situation where the user receives the

ad. Again, this is an echo from the ELM as situational context is a key factor, which

could be based on the user’s environment, which represents their physical location,

or the technological context, which is about the device. Google has stated that there

are more searches on mobile than on desktop and 30% of searches are connected to

location (Google, 2016). So has Google become the new Yellow Pages? Each year we

get a smaller and smaller telephone directory of local businesses. If there’s a water

leak in the bathroom, we need a plumber and thinking back to 40 years ago, we would

have used Yellow Pages. Today, I might ask Siri for a list of plumbers ‘near me now’

or I might search for plumbers in my location. As Grewal et al. (2016, p. 5) observed,

‘Google Maps offers a location-sensitive version of sponsored search advertising,

such that relevant business ads appear as headlines in the displayed map’. If I need

a service in an emergency, such as a plumber, I’m searching with intent. It’s unlikely

I am browsing the internet for the amusement of seeking plumbers! If I’m searching

on a mobile with a small screen, I just need a set of relevant results.

Consumers or consumer context is the next area for consideration. This reflected on

where a consumer might be in their journey (see Chapter 2, The Digital Consumer).

Professor Grewal’s research suggested that mobile ads might encourage recognition

of an unmet need – the idea that you buy something you didn’t know you needed!


Another area where mobile ads could help is to move consumers to competitors they

may not be aware of, as well as reminding consumers about their purchase past his-

tory. Effectively at all stages of the customer journey, from pre-purchase, purchase

to post-purchase, mobile ads could help.

Once the context has been understood, the next stage is the ad goal. What is the

purpose of the advert? The difficulty is that the metrics are not standardised, which

creates issues when measuring mobile. Added to this, the concept of attribution,

which is about crediting conversions to touchpoints in the customer journey (see

Chapter 13, Digital Marketing Metrics, Analytics and Reporting), can be complicated.

Market factors addresses six different issues depending on the location and target


1. The type of industry is the first aspect to consider, based on the opportunities

available in the local environment.

2. This is followed by the ability to deliver the ads through the channels, as differ-

ent regions have different regulations as to what is and isn’t permitted in that


3. The third factor is around the technology, as different devices facilitate different


4. The fourth aspect within market factors is regarding the relationships or partner-

ships, which encourages the marketer to explore how these could impact the ad


5. The next item is regulations, and one factor that will impact mobile ads is GDPR

(see Key Term – General Data Protection Regulation (GDPR), p. 19).

6. The last factor is privacy, also connected to GDPR, and how this impacts on

consumers and their perceptions of the brand.

Ad elements are about the channel (social media feed, in content, in maps – see Figure

6.3 for examples) and the media type – simple text ads, rich content and how it is

delivered. This takes us back to message appeals that you have probably covered on

an advertising module. If you haven’t, take a look at Table 14.1 Message appeal types

applied to digital marketing (p. 341).

Outcome metrics relate back to the ad goal and what the desired results should or

could be. Grewal and the team suggested different types of metrics from awareness to

word of mouth (WOM), and from clicks to the goal most organisations have – purchase.

The key is that mobile ads can target consumers based on:

• Handset type

• Connection – Wi-Fi or network

• Time of day

• Where you are (at home, at work, at the pub, watching football, shopping)

• Your behaviour (in the day, in the evening, first or second search for an item)

• Your demographics


Activity 6.2 Create a Mobile Advert

1. Select one target audience for the advert – this could be university students.

2. Choose two advertising formats.

3. Write the words for the ad, bearing in mind the space restrictions on a mobile phone.

4. Suggest suitable images, whether static (pictures, photos or emoticons) or moving (videos,

moving GIFs).

5. Use other software (PowerPoint, Word, Photoshop) to build your advert concepts.

6. Present back to the class.

See Template online: Create a mobile advert

Platforms and tools

There are many mobile advertising networks available, of which AdMob by Google is

possibly the best known as it offers app developers the ability to analyse, monetise

and promote apps.

Figure 6.4, designed by computer scientists, shows a framework for how ad networks

operate to manage publishers, applications and advertisers with advertisement librar-

ies. This was based on research into combating fraud in mobile ad networks, so it

was important to include all steps from the publisher to the advertiser. Fraud occurs

in all forms of advertising and mobile is no exception.

Publisher Application

2. Sign up ad network

3. SDK library

4. App with library

5. Ad request

6. Ad information

8. Pay money

7. Pay money

1. Add new ad

Ad network Advertiser

Figure 6.4 How ad networks work to manage publishers, applications and advertisers with

an advertisement library

Source: Cho et al., 2016, p. 3


The acronym ‘SDK’ refers to the Software Development Kit, which is a set of tools

for developing apps.

Figure 6.4 is a useful way to understand the process of implementing mobile ad

campaigns as it’s not as straightforward as an advertiser contacting a purchaser to

promote a mobile ad. The mediator is the ad network, which could be Apple, Google

or many others, depending on the ad objectives. There are specialist networks to

monetise mobile games, as well as those that provide the results in search engines

(see the following Smartphone Sixty Seconds® activity to explore the different mobile

ad networks).

Smartphone Sixty Seconds® –

Best Mobile AD Networks

• On your mobile phone go online and search for ‘best mobile ad networks 2017’.

• How many networks do you find?

• Click on one of these to explore what it offers marketers.

The increase in mobile ads has led to a new illegal business called mobile ad fraud,

which takes place through various technical means, including:

• Impression fraud – companies selling banners and stacking many banners on top

of each other (ad stacking)

• Click fraud – generating a fake transaction and the publisher is charged; this is

often created by bots (see Key Term) through automatic programs.

To combat this there are many bespoke software programs that can identify fraudulent

behaviour, but this takes a significant amount of management and time.


The best definition of clickbots (also shortened to bots) that I have found is from researchers Neil

Daswani and Michael Stoppelman, who presented a working paper at a specialist computer

conference which was the first to consider bots:

A clickbot is a software robot that clicks on ads (issues HTTP requests for advertiser web

pages) to help an attacker conduct click fraud. Some clickbots can be purchased, while

others are malware that spread as such and are part of larger botnets. Malware-type

clickbots can receive instructions from a botmaster server as to what ads to click, and

how often and when to click them. (Daswani and Stoppelman, 2007, p. 1)


Programmatic advertising

Karl Weaver, CEO of Isobar, a global, full-service, digital agency, often has to explain

how online advertising, digital and mobile, has changed. He has contributed most of

this section around programmatic advertising.

In the past advertising was booked via a phone call between a media owner and

a media agency who struck a deal over placement and cost. Digital media enables

this to be done automatically and, whilst estimates vary, it is recognised that pro-

grammatic dominates the digital display market, with budgets exceeding $60 billion

expected by 2018.

Programmatic advertising works as webpages typically carry spaces for advertising

and when you load a webpage there is lots of information gathered about you and

your web behaviour (see Key Term – cookie, p. 42). This data is sent back to an ad

exchange where the inventory on the site is auctioned off to the highest bidder. The

ad that wins appears on the page as you load it. The auction takes milliseconds and

the process is referred to as programmatic real-time bidding (RTB).

Programmatic is a delivery method, and as shown in Table 6.4 there are unsurpris-

ingly benefits of and downsides to programmatic advertising. This mainly centres

around the speed of the process and the control afforded by the systems. Due to

difficulties with how this works, Karl Weaver commented that ‘this has contributed

to some clients deciding to take their programmatic buying in-house’.

Table 6.4 Benefits and downside of programmatic advertising

Benefits of programmatic advertising Downsides to programmatic advertising

• Efficiency gains as the process is automated

• No need to research where to place the ad as

happens automatically

• What to pay is automatically calculated and

marketers have pricing control and can decide

whether or not to enter the auction

• Wider range of places to advertise

• Access to digital performance data and analysis

• Changes the nature of contracts between

organisation and agency

• The type and number of people needed to

deliver the work are reduced

• Data governance issues arise as less control as

to where ads appear

• Could remove the need for creative people

• Ad fraud

To work out what ad space to buy, advertisers will use a demand-side platform (see

Key Term), which means that there is limited human intervention. The process allows

ads to be targeted to groups of people accessible across a wide range of websites.


A demand-side platform (DSP) is automated software that bids on space available through ad

exchanges, allowing the advertiser to manage the whole ad process in one place.


There are many DSPs and the larger ones include:

• Facebook Ads Manager

• AppNexus

• Rocket Fuel

• Amazon

• DoubleClick.

The future of advertising is programmatic, whether it’s for mobile, digital, other chan-

nels like TV, out of home or traditional print media. Karl Weaver added:

Some believe that programmatic will ‘terminate’ the creative. This turns out not

to be the case, at least for now. Creatives need to adapt, like they have done

before – and they are. In fact, because the message can be personalised more

easily with programmatic it usually means more creative content is needed to

implement a successful campaign.

Case Example 6.1 Car Companies

in Difficulty with Programmatic

Programmatic advertising can cause major problems and Jaguar Land Rover and Mercedes were

alerted to their brand ads being shown in the same place as terrorist videos. Honda and Nissan car

ads also appeared next to material relating to extremist political groups, without their knowledge.

This is a challenge with programmatic as no terrorist or extreme movement will use the labels

and tags to correctly attribute the content of their work. This means that the only way that companies

can ensure their brand videos are shown in the right places is to verify all locations, which is nearly

impossible. There were different reactions to the findings and all companies were shocked and stated

that they had not authorised the positioning. The challenge is that with 300 hours of video uploaded

to popular sites like YouTube daily, this is difficult to monitor.

Jaguar Land Rover simply stopped its campaign and removed all its digital ads, whilst Mercedes

asked its agency to review the situation and updated its blocklist (Dron, 2017).

Case Questions

Imagine you are working for a well-known brand and your ads appear next to undesirable videos,

without your knowledge. You find out when a journalist makes contact to ask why your brand is sup-

porting terrorists or extremists:

• What is your reaction?

• How could you explain this to the senior management team?

• How could you ensure it did not happen again?




Apps have risen in importance as we continue to download more and more apps.

Each mobile phone we buy has more data storage, to cope with our love of apps.

Apps can be expensive to develop and the cost depends on the purpose of the app

and the functionality. The website provides an

indication, based on your requirements.


There are three main types of apps that will be discussed here.

Native app

Developed for use on a specific platform, such as iOS or Android, and to work offline.

Native apps are totally compatible with the software and hardware of individual

devices. They are often more expensive as you need to carry out separate coding

projects for each device that needs to access the app. As an example, the PayByPhone

app is available for Apple, Android, BlackBerry and Windows phones which means

that the developers have to follow the coding guidelines for each device and submit

separate apps to each store. This is why you sometimes see ‘not available for Windows

phones’ as a message on some native app websites. Examples of native apps include

Facebook and Shazam.

Hybrid app

These work across different platforms and are part native app and part web app.

Hybrid apps run on the device and are written in web coding languages and are

often a cut-down version of a website. Examples include Evernote, Twitter and Gmail.

Web app

These are not really apps but a website that looks and functions like an app. Web

apps are internet-enabled and need a browser which means that in an area without

internet access, they don’t work! Examples include National Rail Enquiries and

Trip Advisor®.


Apps are available either free of charge, for a cost, or for specific users and can be

accessed via the app marketplace which includes: Apple App store, Google Play store,

AppWorld and Windows store.

All apps are submitted to the app marketplace for approval by the marketplace

owner. The marketplaces generate an income as a percentage of sales or from

advertising revenue.


Google is helping with indexing apps (see Digital Tool: Google App Indexing) which

could change how brands promote their apps. Essentially, application indexing is

how search engines like Google record the content of mobile applications and they

display this information in search results. You may have noticed results for in-app

content in some of your Google search results and it’s likely that this will continue.

Apps are often downloaded and used once or twice and then abandoned. As researcher

Joy Armitage noted, ‘Apps that have more relevant content and are easier to use will

result in people using them more frequently’ (Armitage, 2015, p. 22).

Digital Tool Google App Indexing

Go to and learn how Google indexes new apps in

its search engine.



As marketers you may not be coding and developing new apps, although you need

to understand the process as you may be responsible for briefing app developers.

It’s an open secret that many apps never make it into the app marketplaces! They

fail the basic requirements and are rejected, which means that organisations spend

millions of dollars on wasted apps. Therefore it is critical that all elements are cov-

ered for three reasons: (a) the apps are accepted into the app marketplaces; (b) the

apps gain user downloads; and (c) the apps gain usage. That’s to say, if they’re not

in the marketplace they can’t be downloaded, and if they aren’t fit for purpose or

have limited functionality, they won’t be downloaded, and if they are downloaded,

they need to be used.

The purpose of the app

The first stage in the development process is to understand the purpose of the app

and why it may be needed. Are there other, easier solutions such as a mobile respon-

sive website or online login area? What additional benefits does the app provide for

the company? Having a clear vision at the start is critical. The purpose of the app

may include:

• Save time and money by simplifying a work process

• Make tasks easier

• Gain user data

• Increase sales by simplifying the customer journey

• Generate income from advertising.


When reviewing apps Charmian Reynoldson and her colleagues noted that there

could be two versions:

• Pro version – full version of an app available for a fee, with no limits on function,

no advertisements and full technical support

• Lite version – free-to-download version, which may have limited functions and/

or be supported by advertisements (Reynoldson et al., 2014, p. 901).

Reynoldson and colleagues’ research explored the quality and usability of smartphone

apps for pain self-management and they discovered that ‘apps can be developed and

marketed without regulation or guidance, which is a particular concern for apps

used in health settings’ (p. 908). This concerns the purpose of an app, and if it is

simply a money-making vehicle, rather than a genuinely useful tool, it may gain less

re-engagement as users seek greater functionality.

Target audience

Understanding who will use the app is key to later aspects of design and also to

relevant content.

Two Belfast-based researchers, Anne Campbell and Mary McColgan, were exploring

the development of apps for social work education and process. They started on the

basis that ‘mobile technologies are an integral part of students’ lives’ (Campbell and

McColgan, 2016, p. 298). Having clearly defined their audience, one element they

found invaluable was getting users to advise on the type of content needed.


Wireframes are online sketches of the functional elements in a web page or app. It is

important to sketch these out as the marketing person creating the brief might have

a long list of requirements for in-app functions and a wireframe shows the reality

of how this looks. Seeing or visualising the design means that functions that are not

critical can be removed, which contributes towards a more positive user experience.

Wireframes enable the development of the user journey (there is more about the user

journey in Chapter 2, The Digital Consumer) as you can look at each step through the

app. Wireframes are useful to content creators so they can plan the content outline for

Digital Tool Wireframes

You don’t need to wait for the mobile app designers to create the wireframes as there are some free

online tools that you can use and experiment with, to gain greater understanding of wireframes.

Try the digital wireframe and mock-up tools for yourself:




each page. Often the content arrives much later on; the use of wireframes encourages

much earlier content development.

Have a go using the Digital Tool on the previous page and create your own wireframe!


Jennifer Wang, a writer for Entrepreneur, interviewed the directors of an American

app development firm who shared lessons in app building (Wang, 2012). Their advice

on design included:

• Make sure the design is flexible, customisable and intuitive (p. 84).

• Every design element must be considered in terms of efficiency and functionality

(p. 85).

• At the same time, the organisation’s branding guidelines need to be followed or

adapted so that the users recognise the brand in the app.


Only after the purpose is clear, the audience has been agreed, the wireframes planned

and the design considered, does the development begin. No coding should start until

all these other processes have been completed and signed off.

The development phase is likely to include coding, which depends on the type of

app being created. It also includes user management, especially if there are lite

and pro versions. Customisation, which we could also call personalisation, also

features in the development phase, where you work out what may be needed. As

an example, Manuel Rivera and his colleagues in hospitality management investi-

gated mobile services within a tourism setting and suggested that ‘personalization

services present great opportunities not only for tourists to customize their own

experiences but also for local service and product providers to capture business

opportunities’ (Rivera et al., 2016, p. 2727). Therefore a tourism app with custom-

isable location-based services could provide users with greater value and is more

likely to be downloaded.

Other aspects of development comprise data integration so that any data or push

notification functionality can be built in from the start. It is also necessary to

explore how to synchronise data. If you think about tourism and hotels being

added and possibly removed, on a regular basis, there should be a way to keep

the app up to date.

User interface design and development

The next stage is user interface design and development. When the ‘back-end’ coding

is done, what does the user see? Does it work? Is it as originally planned?

One app that failed on the user interface design was LinkedIn. The desktop app func-

tioned well but the mobile app could be dangerous as you could explore someone’s

profile and connect without intending to!



There should be at least two rounds of testing – the initial testing then beta

testing, and then more testing, all of which should lead to improvements. As

Jennifer Wang’s article in Entrepreneur mentioned, when any element is changed

it needs to be re-tested as changes can create issues where there were none before

(Wang, 2012).


When the app is ready to go, it’s time to release it to the world. The technical term is

‘deployment’ and this is about placing it into the agreed app marketplace. There are

several factors to consider at this stage:

• Timing – are you submitting an app a month before major holidays such as

Thanksgiving in the United States, Christmas in the UK or other festivals for your

target audience? If the answer is yes, you will have to fight to get noticed as so

many apps are released at these times. It is better to release before or after these

times to gain greater visibility in the app stores.

• Reviews are critical to the success of an app so it may be shared with fans at an

early stage to gain positive feedback: ‘The more four and five star reviews you

get at the beginning, the higher your app will rank on Apple’s charts – and the

easier it will be for people to discover your product’ (Wang, 2012, p. 87).

• App store optimisation – ensuring that the app looks attractive to potential users

when they explore the app marketplaces.


As a marketer you will probably be responsible for the promotion of the app. Consider

carefully the actions you will take to promote the app; this is often easier if you were

involved with the initial design process.


One factor that keeps apps at the top of the charts is updates. When apps are updated,

they are re-listed as new in the charts. Plan in advance the optimum timing for the

updates. Apps that are not updated eventually stop working as they no longer func-

tion with software updates on the devices.

Measuring results

Where would digital marketing be without measurement? The longest-established

provider of app metrics is Yahoo flurry. There are others, such as,

but Yahoo Flurry has significant longitudinal data to see how your app compares to

others in the same market.

App analytics are similar to Google Analytics (see Chapter 13, Digital Marketing

Metrics, Analytics and Reporting) and, for example, the data shows you:


• Session length – how long a user spends using the app

• Time in app – the total time in app over a specific period of time such as a week

or a month

• Source of users – where they found out about the app and downloaded it; this

could be via the app marketplaces, social media or elsewhere

• Retention – this is a big issue as many users download an app, use once and never

again and retention shows the percentage of visitors who return after their first


• Lifetime value – how much you could generate from individual users – assuming

that it’s a paid-for, or has in-app purchases or sells advertising

Activity 6.3 Plan a Promotional

Campaign for a New App

1. Look through the apps on your mobile and find one with some functionality – not a game –

the type of app that you use that’s useful.

2. Imagine you’re working for a competitor to develop a new, better app that provides greater


3. Create a three-month promotional plan to launch the app in order to gain maximum positive

reviews and downloads.

4. The plan should include a high-level overview of the promotional objectives as well as an

action plan showing who will undertake which actions along with a budget to support the


Case Example 6.2 Work Wallet™, the

Health and Safety App for Business

Work Wallet is a mobile app and cloud-based system created by Greendog. It was specifically

designed to reduce risk and blind spots in a business, giving employers full transparency of their

whole workforce supply chain.

The key driver in this market was a change in legislation in February 2016. The new law changed the

financial penalties for businesses for breaches in Health and Safety. The powers given to magistrates

can result in fines ranging from £200,000 to potentially millions.



Work Wallet’s ‘Mobile First’ service allows employers to provide their employees with up-to-date,

real-time information, enabling a stronger information-sharing relationship between employer and

employee, especially when managing employees working at off-site locations.

Work Wallet enables employees to:

• Receive notifications and reminders from management teams

• Receive the latest Risk Assessment Method Statement (RAMS) on site documents

• Use a location clock on/off service (in real time with GPS tracking)

• Track the status of Personal Protection Equipment (PPE)

• Report accidents and potential risks

• Use the Vehicle Management Suite (registered vehicles, scheduled inspections and accident reporting)

This system has the potential to save these businesses significant operational costs and make a real

difference in improving workers’ safety, ultimately saving lives in the process.

The smart technology in Work Wallet enables businesses to connect their office staff, remote

workers and contractors, ensuring their workforce supply chain is Health and Safety compliant. If an

accident does happen, the business has a fully auditable system to show the Health & Safety Execu-

tive (HSE), which can assist in providing evidence of actions in favour of the business.


Case Questions

This is an example of a business app and these are often the most useful, saving time, saving costs

or, as in this example, potentially saving lives.

• Consider a part-time or summer job where you may have worked. Did they have an app? If yes,

what was the purpose of the app? How well did it work?

• If no, how could they have used an app to better manage the business?



When people use a mobile device for a search, they usually need a result! As I men-

tioned in mobile advertising, if I am searching for a plumber, it’s less likely to be for

amusement and more often in desperation.

As with regular desktop or tablet searching, the mobile search provider will provide

two types of results: (a) organic or (b) paid (see section 3.6.2 Search engine optimi-

sation). Within these search results you may find directories, price comparison and

review sites; this is often when the search term includes locations or dates.

Mobile searchers also use different places to search, which may include:

• Directories such as Google Places, Yahoo Local, Bing Places, Thompson Local,

Yell, and in the United States people often use Yelp

• Price comparison and review sites which can be around specific themes

such as holidays, and may include TripAdvisor®,, Skyscanner

or Kayak.



Having reviewed mobile search functionality, the next step is the concept of geo-

marketing and beacons. Geo-marketing is a way of describing geographically targeted

marketing, which could include location-based searches as well as people ‘near me

now’ with the iBeacon facility. This data is not always accurate, as these digital tools

will show:, and

6.6.1 iBEACONS

At a developer conference in 2013 Apple launched the concept of iBeacons which

are a core-location feature that has been available on Apple devices since iOS 7 and

is used to determine precisely where a device is located, even when the device is

underground or otherwise out of decent signal range.

The technology uses BLE (Bluetooth Low Energy) as opposed to GPS, 3G or Wi-Fi

data to locate the device, and any device featuring Bluetooth 4.0 can act as a beacon,

meaning iBeacons are not restricted to Apple devices.

Applications of iBeacons

iBeacons allow shops, museums and many other destinations to install technology

that can detect mobile phones that are nearby. This means that shops and museums

could send relevant offers to passing consumers or welcome returning visitors.

Businesses have been slow to start implementing iBeacons, although some of the

world’s largest retail corporations are using the technology. Supermarket giant Tesco

implemented iBeacons into its Click & Collect app to inform customers where to pick

up their shopping upon arrival. Specialist supermarket Waitrose also used iBeacons

to inform customers of its latest in-store offers and promotions from aisle to aisle.

Other ways that organisations could use iBeacons include:

• To serve offers and sale information in real time. This could include offers to be

redeemed in store. US department store Macy’s has been using iBeacons to alert

customers of the offers and deals they have while they are in store.

• To deliver real-world remarketing as businesses could allow retailers to alert

nearby customers that they have a product in stock that they had previously

expressed interest in online. IKEA uses iBeacons connected to its Family app

and can remind visitors to collect their free weekday coffee!

• To notify customers of the status of their click and collect packages. Woolworth’s

(Australia) have used geo-location technology to alert the store managers about

the proximity of click and collect customers, allowing them to ensure orders are

ready and customers need not wait or queue.

• To serve highly tailored demographics-based messages. With customer data col-

lection high on the agenda for many retail businesses, it is possible that this data

could be combined with in-store iBeacons to serve highly tailored messages to

existing customers. Cosmetics chain retailer Sephora used this technique to offer

nearby customers 15-minute makeovers if it was their birthday.


• Smaller businesses could benefit from using micro-location offers to encourage


• Local restaurants offering two-for-one deals on meals on Monday evenings could

attract the attention of anyone walking past.

Beacons can track devices as they pass and deliver data including:

• Event: the type of event completed by the user (redeeming an offer, booking a

restaurant table, collecting goods)

• Number of devices per event: a breakdown of how many devices have triggered

each type of event

• Number of devices per beacon: the number of unique devices seen by each beacon

• Devices over time: the number of devices seen for a given time period

• Number of devices per location: the number of unique devices that have trig-

gered an event for a specific location

• Content delivered: the content delivered with each event (offer, notification etc.).

If effective, beacons could be used as location-based loyalty programmes that know

who I am, my preferences and my purchase history. This is ideal if I am visiting a

regular coffee bar. This concept was trialled and failed as location services are not

without challenges.

The app Foursquare was designed as an online loyalty card; you could check in to the

location, they would be able to see your preferences and reward your loyalty. The most

loyal customer was promoted to become the ‘mayor’ with special privileges. The chal-

lenge was that the geo-fencing was not robust enough and you could be somewhere

other than in the location. As an example, when working in an office in Oxford Street

in London I frequently checked into the café at Debenhams department store and

even though I never visited the actual store, I was promoted to ‘mayor’. My privileges

as mayor included free coffee on Thursdays. I didn’t quite have the nerve to turn up

and say ‘Hi, I’m the mayor, your most loyal customer, and I’m here for my free coffee!’


Quick Response (QR) codes are small dots or pixels on a page, usually printed in a

square shape. They are similar to barcodes and the main difference is that barcodes

are restricted to 20 numbers whereas QR codes can store large amounts of data which

means that when they are scanned, they show additional content such as: website

details (URLs); contact information including business cards; and specific information

or small videos about the product or location.

QR codes were invented by Denso Wave, a subsidiary of the Toyota Motors company,

as part of their manufacturing workflow processes. QR codes could be created and

attached to cars as they moved through the production line, so you could consider

this as a car passport showing all tests that were completed before the car was driven

off to a showroom for sale.

In their 2016 article ‘A review: QR codes and its image pre-processing method’, Anjali

Singh and Parvinder Singh explained that QR codes are ‘readable by moderately


equipped mobile phones with cameras and QR code scanners’ (Singh and Singh,

2016, p. 1955).

When initially introduced QR codes were popular within advertising agencies as

they saw the potential to include so much additional product or service information.

The challenge was that consumers were less keen and adoption was slow. Originally

designed for the automotive sector, so that all product information was stored in one

place, today they are used:

• In education – verifying students, especially for exams

• On some CVs – adding value with an ‘introduction to me’ video!

• In healthcare – delivering additional patient information for medics to read

• In museums and tourist attractions – providing background or more information

about the exhibit or location

• At events and conferences – sharing the full conference guide

• On product packaging – giving more details about what’s inside and ordering spares

There has been further marketing application of QR codes in social media with

Snapchat, where you create your Snapcode that can be shared. Plus some virtual

reality glasses include a QR code that takes the user through to a VR application.

Plus QR code readers are becoming native to the camera app, in systems like Apple.


The article ‘A review on QR Codes: colored and image embedded’ by Seema Ahlawat and

Chhavi Rana (2017) provides a useful overview.


Short message services, or SMS, or text messages, have become more sophisticated

with the development of multimedia message service (MMS) and with so many other

mobile options, SMS is less used for mass marketing. One key factor is that text

messages are personal communications and when used by organisations without

permission, they are seen as intrusive. It is easy to stop or block text messages with

smartphones and as initially there was a cost attached to sending or receiving text

messages, they were used within the mobile phone package that people purchased.

The advent of secure and free text messages within systems like WhatsApp enables

users to send messages free of charge, as long as you have a Wi-Fi connection.

Organisations still use SMS for

• Appointment reminders – from the dentist, hairdresser

• Balance statements – from your bank and mobile phone provider

• Booking confirmations – from taxi firms

• Verification codes – from software packages


Another area where SMS has developed is for focused messages to specific target

audiences. For this reason, SMS is popular in providing support messages related to

healthcare at all levels, from smoking cessation to weight loss, from diet to mental health.

Researchers Stephanie Spohr and her colleagues as well as Chris Nicholson have explored

the benefits of SMS in health-related programmes (Spohr et al., 2015; Nicholson, 2017)

and this research demonstrated the effectiveness of short communications as one-to-one

support for health and personal issues.

Other researchers, Dimitris Drossos and his colleagues, reviewed many recipients of

SMS messages and concluded that not all products are suitable for SMS due to the

limited informational capacity as well as the context in which the user receives the

message (Drossos et al., 2013). Their main findings were perhaps not so surprising

as they commented that perceived ad credibility, attitude towards mobile ads, the

message appeal and quality of the content tended to improve results. We could argue

that the same applies for most forms of adverts.

In theory SMS could be used for location-based adverts; as you approached a store

or restaurant you could receive a message, possibly containing an offer. The issue is

that users would need to confirm acceptance and, as most apps include options for

push notifications, we prefer to control how we receive these messages. It may be

that we are used to our personally selected apps notifying us, but not to receiving

texts from strangers!


1. Thinking about mobile ad fraud, how could smaller organisations avoid this

so their budget wasn’t wasted? How do you think the perpetrators should be


2. Imagine you are working for a large organisation that uses an agency to buy their

ads using programmatic systems. How do you ensure your organisation does not

appear next to undesirable or irrelevant or offensive websites?

3. Write a brief for a mobile app. Identify its purpose and target audience. Support

your proposal with research evidence.


This chapter has explored:

• The mobile ecosystem and the benefits and risks for users.

• How the m-payment system functions.

• Different types of mobile advertising.

• Critical factors in planning and promoting apps.

• Wider use of mobile from geo-marketing to QR codes.





When you have read this chapter, you will be able to:

Understand the different types of realities

Apply the technology readiness scale

Analyse experiential value

Evaluate the six dimensions of interactivity

Create an outline proposal for a VR or AR tool or app


When you have worked through this chapter, you should be able to:

• Construct an outline proposal for a VR or AR tool or app



Augmented, virtual and mixed realities are moving into our everyday lives. From

games to kitchen design, this chapter explains the differences as well as providing

real-world case studies to see how organisations are applying these realities into

their marketing mix.

Frameworks like the cuelessness model and technology readiness scale demonstrate

how it can take years to evolve a concept into a business application. You will learn

the key concepts surrounding augmented, virtual and mixed realities and understand

its future.



Computers can facilitate or mediate different forms of communication; we call this

computer-mediated communication (CMC), a space where traditional verbal commu-

nication may be absent.

There are various theories surrounding CMC and in Chapter 11 on social media man-

agement we explore four of these that directly connect to how individuals present

and disclose information online, as well as the type of media that has greatest impact.

These four theories are: (1) self-presentation; (2) social presence; (3) media richness;

and (4) self-disclosure.


Part of the rationale for these theories is that through computer communication one

factor that’s removed is the face-to-face contact. In the past this was considered scary

and meant all communication would fail, so in the 1970s and 1980s Nigel Kemp and

Derek Rutter developed a framework called the cuelessness model which considered

aspects of this concept (Kemp and Rutter, 1986). Their research disputed earlier

notions that visual face-to-face contact was critical for social interaction. They hadn’t

heard of WhatsApp – well, to be fair, WhatsApp didn’t exist back then, nor did smart-

phones. In some households you shared a main telephone with a neighbour because

it was often the only fast way to get a telephone system into the house; it was called

a ‘party line’ and you had to pick up the phone and listen to see if the neighbour was

on the phone before you dialled. Honestly, at that time the only telecoms company

in the UK – British Telecom – could make you wait up to six months to get a phone!

To test the need for visual cues, Kemp and Rutter based their work on field studies

with visually impaired people. This was a smart way to prove or disprove a theory

and working with the one audience that would always be missing the ability to see

these cues.

Their work demonstrated that if there were the fewer social cues this increased psy-

chological distance. They also found that the greater the psychological distance the

more task-orientated and depersonalised the content. This sounds logical if you think

about a telephone interview and how this can be stilted. It tends to be:


a. task-orientated; for example, your first task is to get through this interview and

the sub-tasks are to communicate your key skills.

b. depersonalised content; for example, you may not want to tell the interviewer

that you spend your weekends partying with friends – you need to keep it pro-

fessional rather than personal.

At the same time, this is about context. If I’m speaking to friends, the content will be

very different to speaking to work colleagues or tutors. Another researcher, Professor

Sara Kiesler, investigated cues and how they could lead to other possibly unexpected

benefits. Her work explored different technologies, including email and its lack of cues,

and suggested new technology would mean that ‘people will relate to one another in

different ways’ (Kiesler, 1986, p. 60). This demonstrates the adage that we adapt to our

circumstances; we find a way through and often work on ways to improve the situation.

These different ways have evolved, as over time we have seen an array of develop-

ments in CMC, from internet relay chat (IRC) – which was like instant messaging via

computers with really old screens and should have been called internet delay chat

as it was so slow – to early versions of internet telephone calls (without video) that

normally started with the shouty words ‘CAN YOU HEAR ME?’

These technological developments lacked social cues. You couldn’t see the person’s

expressions when they received the message or took the call. We have moved on sig-

nificantly since then and, as you discovered in Chapter 2, the Technology Acceptance

Model was an early mechanism for understanding how likely people would be to adopt

new technology and is a way of identifying possible barriers to technology adoption.


One technology that is gaining widespread use and adoption is virtual, augmented

and mixed reality. You might think it’s new to Snapchat, although it has been around

for more than 50 years. In this chapter we will look at these different forms of reality,

their application in different settings and how they work.

There is some confusion between the different types of realities and the Key Terms

in this section define each one. Researchers Paul Milgram and Fumio Kishino defined

mixed reality and provided a continuum, albeit a simplified version of the levels of

reality, which illustrated the development of augmented, virtual and mixed realities,

as shown in Figure 7.1.




Reality (AR)


Virtuality (AV)

Virtuality Continuum (VC)



Mixed Reality (MR)

Figure 7.1 Simplified representation of a ‘virtuality continuum’

Source: Milgram, P. and Kishino, F. (1994) ‘A Taxonomy of Mixed Reality Visual Displays’, IEICE Transactions on Information

and Systems, 77 (12)/1323.

Copyright © 2018 IEICE. Permission number: 18RB0104



Ronald Azuma, whilst a PhD student, provided a lengthy definition of augmented reality (AR) as

‘a variation of virtual reality’ and he added that ‘AR supplements reality, rather than completely

replacing it’ (Azuma, 1997, p. 356).

Fernanda Faust and her colleagues provided an alternative definition: ‘Augmented reality

can be defined as the superposition of virtual objects (computer generated images, texts,

sounds etc.) on the real environment of the user’ (Faust et al., 2012, p. 1164).

Although Azuma’s definition was good, it was lengthy. The Faust definition is more akin to

how we see and use AR today.


RESEARCH INTO AUGMENTED REALITY publishes research into augmented reality and its application com-

mercially. See

Virtual reality has existed for decades, as the timeline in Table 7.1 shows. Technology

is often founded in science fiction and VR is no exception. Whilst early sci-fi writers

imagined virtual environments, research labs have been working on VR goggles,

which were initially termed ‘Head Mounted Displays’ (HMDs) and resembled a

clumsy type of SCUBA mask for more than 50 years. The mask design doesn’t seem

to have changed much and it took decades from the early prototypes to get to the

commercially available Samsung Gear, Oculus Rift and Microsoft HoloLens. One of

the key reasons for this is the technology getting smaller, cheaper and easier to use.

Table 7.1 Virtual and augmented reality timeline

1950 Ray Bradbury’s short story ‘The Veldt’ described a ‘sentient hyper-realistic room’

1960 At the University of North Carolina virtual worlds research started with a focus on scientific and

medical tools trying to work on medical imaging, X-ray specs

1962 Morton Heilig filed US patent #3,050,870 for the Sensorama Simulator, a multi-sensory enclosed

cinema booth

1965 Ivan Sutherland created the first VR goggles, called a ‘head mounted display’ (HMD)

1969 Myron Krueger at the University of Wisconsin at Madison created the first responsive environment

(in 1974 this was termed GLOWFLOW), an artificial environment where the walls and floor became

immersive and sounds were created

1970 Myron Krueger creates METAPLAY, another responsive room but this time focused on interactivity

1977 Myron Krueger develops the responsive room which becomes VIDEOPLACE, a responsive

environment with wall-sized video screens, where instead of wearing goggles, people would be

immersed in the space

1984 William Gibson’s book Neuromancer mentioned the concepts of Cyberspace and The Matrix


1985 Driven by a NASA project, the first system that combined goggles (HMD) and a glove that allowed

the hand to move around in the virtual world was launched, named Virtual Environment Display

system (VIVED)

Jaron Lanier creates the first wearable ‘computerised clothing’ called the DataGlove

1987 The first full-body version of the glove, the DataSuit, was launched

1988 VIVED became VIEW, virtual interface environment workstation, with HMD goggles, glove and an

element of voice control

1989 The VR system was developed with an auditory addition of earphones, called Convolvotron or the

Head Related Transfer Function (HRTF)

At the Association for Computer Machinery (ACM) Special Interest Group on Graphics (SIGGraph)

Margaret Minsky, a researcher in the field of learning technology and haptic interfaces,

demonstrated the first VR architectural walk-through

Autodesk software started offering VR walk-throughs showing open-plan offices; the first iteration

of Computer Aided Design (CAD) software

1992 The CAVE, a VR room, was created at the University of Illinois, Chicago Electronic Visualization


2003 Second Life, an online virtual world, was launched by Linden Labs

2013 AR head-mounted display – Google Glass launched

2014 VR headset – Google cardboard launched

2015 VR headset – Samsung Gear VR launched

2016 VR headset – Oculus Rift and HTC Vive launched

AR game – Pokémon Go launched for use on Apple and Android mobile phones

2017 VR headset – a consumer version of Microsoft HoloLens launched


In 1992 Jonathan Steuer reviewed earlier definitions of VR and extracted the key elements to

create his own definition as ‘a real or simulated environment in which a perceiver experiences

telepresence’ (Steuer, 1992, p. 76–77).

Eighteen years later, Daniel Guttentag observed that ‘notable discrepancy exists regarding

the definition of VR’ and blended other suggestions and proposed a definition as ‘the use of

a computer-generated 3D environment – called a “virtual environment” (VE) – that one can

navigate and possibly interact with, resulting in real-time simulation of one or more of the

user’s five senses’ (2010, p. 638).

The Steuer definition was a move away from the focus on technology and about the user

experience whereas the Guttentag classification was broader, encompassing more elements

from the environment, its uses as well as the user experience.


The main definition used comes from researchers Paul Milgram and Fumio Kishino, who worked

on a taxonomy of mixed reality virtual displays in 1994. They suggested mixed reality was ‘the

merging of real and virtual worlds’ (Milgram and Kishino, 1994, p. 1322).


Howard Rheingold’s book Virtual Reality suggested the step changes for VR started

in the 1980s as enabling technologies such as electronic miniaturisation and computer

graphics developed further (Rheingold, 1992). The idea of a technology that enables

a function is a critical concept in manufacturing. NASA and others use a concept

called the Technology Readiness Level (TRL), which is described as a ‘measurement

system used to assess the maturity level of a particular technology’ (NASA, 2012a).

The idea is that any new technology project is checked against agreed criteria and

then rated from 1 to 9 on a scale known as the Technology Readiness Scale (TRL). At

TRL 1 some form of scientific knowledge has underpinned the concept and at TRL 9

the system has worked in an operational environment (NASA, 2012b).



Howard Rheingold has written many books on the concept of vitality and his book Virtual Reality

(1992) is probably available in your university library’s computer science section.

Figure 7.2 shows the Technology Readiness Scale, which is used by industry sectors

such as defence and space.

TRL 9 – actual system proven in operational environment

TRL 8 – system complete and quali�ed

TRL 7 – system prototype demonstration in operational environment

TRL 6 – technology demonstrated in relevant environment

TRL 5 – technology validated in relevant environment

TRL 4 – technology validated in lab

TRL 3 – experimental proof of concept

TRL 2 – technology concept formulated

TRL 1 – basic principles observed

Figure 7.2 Technology Readiness Scale


If we think about VR goggles, they were at TRL 1, 2, 3 and 4 in 1960 with the work

at the University of North Carolina. TRL 5, 6 and 7 were achieved in 1965 when Ivan

Sutherland created the first goggles, but it wasn’t until 2014 with the launch of Google

Cardboard that VT goggles were complete and available – TRL 8 and proven with user

feedback at TRL 9. It took 49 years for the technology to be fully ready.

Digital Tool Augmented Reality Live

Patent Search

To explore the latest technology developments in AR, look at current patents published on www., which shows you future plans to apply augmented reality.

Activity 7.1 Application of the Technology

Readiness Scale

1. Using the items in Figure 7.2, apply the Technology Readiness Scale to a technology of your

choice. It could be a piece of very new equipment or an older device.

2. Plot out when the technology reached each stage and if it is not yet at TRL 9 explain what the

issue is.

See Template online: Technology Readiness Scale


Whilst at Stanford University working on his PhD, Jonathan Steuer wrote a paper

to define virtual reality (Steuer, 1992). He observed that the words ‘virtual reality’

had emanated from a manufacturer of goggles and gloves (this is attributed to Jaron

Lanier in 1987) and Steuer explored how VR had been described (see Key Term –

virtual reality).

This was an important piece of work from which many theories have been launched.

Steuer described the notion of telepresence as the idea of being there, via a commu-

nication medium. There were two core variables provided by the technology which

impacted the user experience: vividness and interactivity, as shown in Figure 7.3.

Looking further into Steuer’s framework, the first dimension of vividness, or rich-

ness, considered the stimulus and sensory information available from the medium.




human experience



breadth depth speed range mapping

Figure 7.3 Technological variables influencing telepresence

Source: Steuer, 1992, p. 81

Within the breadth of the experience, this included whether sound and haptic

functionality were incorporated. Steuer reflected on earlier work in communication

systems which considered the five senses: sight (vision), hearing (audition), taste

(gustation), smell (olfaction) and touch (haptic). VR could provide sight, sound

and, later, haptic functionality. Morton Heilig, a pioneer in this area, created the

‘Sensorama Simulator’ (Heilig, 1962), which also incorporated smell! Since this time

academics Victoria Henshaw and her colleagues have suggested that ‘non-visual

senses such as smell can provide a more overtly immersive experience for the con-

sumer of service environments’ (Henshaw et al., 2016, p. 154).

The second aspect of vividness was the depth, which concerned the image quality

and speed. Steuer will have been aware that early VR systems had problems with lag

as the imagery lagged behind and led to a stilted rather than immersive experience.

The idea of a time lag as we would call this, is similar to early voice over internet

phone calls, where there was always a delay of several seconds between one response

and the next. Image quality and speed are intrinsic elements of what is referred to as

media richness, which is discussed in Chapter 11, Social Media Management.

Interactivity investigated the speed, range and the mapping available for the user.

Steuer explained interactivity as ‘the extent to which users can participate in modi-

fying the form and content of a mediated environment in real time’ (Steuer, 1992,

p. 84). Speed of interaction reflected on immediacy of response time, whereas the

range was about the number of variations in the experience; the volume range for

sounds, the image variety, the array of variables which could be altered. The final

element within interactivity was mapping or how one body part, such as a hand or

eye, could control or change the environment.

Much of the research conducted into VR has been applied to other technological

applications, including wearable devices; the haptic quality of the latest smartwatches

and mobile phones; the mapping within smartwatches so when the arm is raised, it

can perform an action.

Some years before Steuer’s work, Carrie Heeter (now Professor of Media and

Information) investigated newer technologies and their increased interactivity. She

looked at previous work in this area and from this suggested six dimensions of

interactivity which demonstrated the difference with new technology and the user’s

involvement, which are shown in Table 7.2.


Table 7.2 Six dimensions of interactivity

Dimensions of interactivity What this means Application to virtual reality

1. Complexity of choice


When more choice is available,

the audience is smaller and users

need to interact to decide which

medium to choose

Deciding to select Google cardboard

or Oculus Rift

2. Effort users must exert The amount of effort that users

make to access information

Ensuring goggles are charged before

starting to use

3. Responsiveness to user How responsive the medium is

for the user

Whether there is a time lag in viewing

VR content

4. Monitoring information use New technology provides greater

tracking of information accessed

All activities in a VR environment can

be tracked

5. Ease of adding information Users acting as the information

source or content provider

Users can add comments to VR

forums such as and

6. Facilitation of interpersonal


Users can message and

communicate with other users

In multiplayer games you can

communicate with each other

Source: Adapted from Heeter, 1989

Applying this to different realities, the first dimension of interactivity about choice

applies to games rather than other areas of realities. The issue here is that, in general,

an external headset is needed to access VR and the choice of headsets is still limited,

plus some games are restricted to specific headsets. Augmented reality may require an

app or game to be downloaded and a mobile device. AR can function via web display

ads and companies like Blippar are working on ‘augmented reality digital placement’,

which allows users to tap on the banner and see the AR features.

Dimension two, the effort users must exert, still exists as it’s necessary to load the

application, as well as gaining external headsets. However, the effort is being reduced

with voice recognition. In augmented reality a device is needed to access the func-

tionality. Equally this is becoming easier with regular push notifications or alerts

about the game or app status.

The third dimension, responsiveness to user, is the one area that’s fast developing. As

researcher Salah Alshaal and his colleagues commented, the progress with embedded

sensor systems and microcontrollers that have been evidenced in wearable devices,

could provide more interactivity for VR applications (Alshaal et al., 2016). In aug-

mented reality, a good example is the Pokémon game where the characters depend

on the user location.

Monitoring information use, the fourth dimension, is a rising concern as usage data

from all realities is tracked from the moment the device is switched on. Big data (see

section 1.6 and Chapter 13, Digital Marketing Metrics, Analytics and Reporting) has

the ‘potential to worsen consumer privacy concerns’ (Hofacker et al., 2016, p. 95)

and will fall under greater scrutiny with the advent of the General Data Protection

Regulation (see Key Term – General Data Protection Regulation (GDPR), p. 19).


The next dimension, ease of adding information, depends on the application. I men-

tioned big data, as users contribute data that might include: how long they use the

application; with whom they interact; and devices used. It can also relate to content

added on forums and product feedback areas.

Finally, the sixth dimension, facilitation of interpersonal communication, exists

within multiplayer games as players can both message and interact with one another.

Having understood the different realities, the question is how these are applied,

which we will explore next.

Ethical Insights Cyber Addiction

The concept of cyber or internet addiction was first suggested in France on an online forum as people

appeared to be spending more time playing online games or in virtual worlds, which had an impact

on their real environment.

Although it has not been completely accepted or recognised by all professionals (Suissa, 2015),

Internet Gaming Disorder (IGD) has gained consideration by the American Psychiatric Association, who

created a provisional criterion for IGD within the fifth edition of the Diagnostic and Statistical Manual of

Mental Disorders (DSM-5). The lack of confidence in naming IGD as a formal disorder is based on the

research to date and the Association has called for more clinical research to evidence the condition.

Activity 7.2 Internet Addiction Test

Explore the DSM-5 IGD criteria and questionnaire to diagnose internet addiction. If you answer yes to

more than five of the nine questions, you may wish to seek help for internet addiction.

See Template online: Diagnostic and Statistical Manual-5 IGD criteria and IGD questionnaire


Considering that it has taken over 50 years of ideas of different realities to reach a

point where the hardware and software are readily available, the realities are used

in many sectors, which we will explore here.

7.4.1 SPACE

Virtual reality has been used in space missions since VR started. Initially it was

clunky, hence the need for the Technology Readiness Scale shown in Figure 7.3. Since

1989 NASA has run a dedicated ‘VR applications program’ and uses VR in hardware


development, operations development, support and missions operation training (Hale,

1995). It is cheaper and safer to train astronauts on the ground before they embark

on a mission into deep space.

Using all the images gathered over time, NASA is also training interns to map Mars in

VR (Foli, 2017). They can map out all aspects of the terrain, which enables scientists

to better plan missions.

Case Example 7.1 Field Trip to Mars

The engineering firm Lockheed Martin operates in 70 countries worldwide and one of its key products

is space systems, creating technology and communications between earth and space. They have

been involved with all missions to Mars since the first spacecraft landed on the planet in 1976.

They wanted a way to engage with younger generations who may be less aware of their brand

heritage and they needed a concept that was sustainable. Working with the ad agency McCann, they

came up with the idea of creating an event around the Orion interplanetary spacecraft, which had

taken its first flight. They decided to focus the event around the US Science and Engineering Festival

in Washington, DC, which they sponsored. This event takes place every two years and over 50,000

children attend.

Figure 7.4 Lockheed Martin Mars Experience Bus

Source: Lockheed Martin



The idea developed into converting an old-fashioned American school bus and transformed this

into a VR experience. The school children would visit Mars on the way to the science fair. They realised

that giving the students individual VR headsets would isolate individuals and decided this should be a

group VR experience and they needed a different approach. The team needed expert help and found

Framestore, a British visual effects company, who sourced video screens with hidden LEDs and special

film that could be used as replacement bus windows that could appear to be clear until a switch was

flicked, when the view would change and the outside world would be transformed into views of Mars.

Framestore already had some 3D artefacts from films of Mars but they realised that they needed

three different sensors as they all performed one aspect of the VR environment, but not the whole thing.

One of the greatest challenges was changing the regular journey from the school to the science

fair into a trip to Mars. The team digitally mapped the route, which traversed some 200 square miles

of the Washington area, and the route was programmed and adapted to make it look more like the

Martian environment – which was difficult, as most roads in Washington are straight and well main-

tained, unlike the bumpy terrain of Mars!

Sound was added, with speakers giving some surround-sound noise, but they also needed some

haptic properties or bumps. The easiest way to do this was for some of the team to hide in the back

of the bus and jump up at specific times.

The first group of students went on a virtual reality field trip to Mars in 2016 and the new purpose-

built Lockheed Martin Mars Experience Bus has since been created, which has been touring states

in America.

Although this was a big leap in terms of application of a group VR program, it was similar to Myron

Krueger’s original vision of VIDEOPLACE in 1977.

One of the greatest contributions of the Field Trip to Mars project is how this has changed the way

companies think about virtual reality and its application to business. The project has also demon-

strated alternative ways of using VR for education, and unsurprisingly those working on the project

have won many advertising and creative awards for innovation.

Watch the video at

Case Questions

Consider an organisation of your choice:

• How could a similar project to the Field Trip to Mars be used for this organisation?

• What would be required to make this happen?

• What would be the main advantages?

• What challenges would you anticipate in proposing such an idea to the senior management




After space, medicine was one of the first sectors that saw the potential for the use

of virtual and augmented reality. One of the difficulties in medicine is that practice

and experiment often have to be on a real human and if they go wrong, it could be a

matter of life and death. Medical applications for VR include human-patient simula-

tors, which enable trainee doctors to trial their techniques on artificial people. No

one dies. There are also immersive virtual reality Cave Automatic Virtual Environment

systems (Huang et al., 2016) which allow trainees and experienced medics to explore

inside the body.


Google Glass, which hasn’t totally succeeded as an AR system, has worked well and

been used in medical operations (Herron, 2016).

Google Glass didn’t succeed at a consumer level for various reasons:

• Initially Glass were on sale for around £1,000 and there were stories about people

being mugged for their glasses! Who’d wear them if you could become a victim

of crime?

• They also didn’t look that cool. You would feel very nerdy walking around saying

‘Glass, what time is my next lecture’.

• There were too few applications for Glass when it was launched.

Yet, in medicine and healthcare, Glass may have a future. Research into trainee sur-

geons showed improved accuracy of needle placement when wearing Glass (Brewer

et al., 2016); a study with physicians performing operations and accessing Glass to

see X-rays remotely also worked well and an additional benefit was saving time as

the X-rays could be sent direct to the Glass of all those involved (Spaedy et al., 2016).

7.4.3 RETAIL

Retailers have been keen to adopt virtual reality as they can see the application con-

verting into sales. Trying before buying in an online or virtual or augmented reality

could reduce the number of returns and improve online conversion rates (Dacko,

2016). So far it has been larger stores with budgets that have offered VR in-store and

mainly as a method of building and sharing their brand ethos. For example, Topshop,

the UK fast fashion chain, has experimented with virtual reality and introduced an

in-store water slide, giving shoppers the chance to wear goggles, jump onto the dry

slide and see the whole of Oxford Street, London’s busiest shopping area, as they ‘travel’

along the giant VR slide. This funky younger brand introduced VR as a fun thing to

do. In terms of experiential value this is playfulness (see Figure 7.5 Typology of expe-

riential value) providing enjoyment and hedonic benefit of the shopping experience.

Another example is TOMS, the shoe store that donates a pair of shoes to a child in

need for every pair it sells. They created a VR experience in several US stores, giving

shoppers the chance to see ‘A Virtual Giving Trip’, sharing where the other pair of

shoes went. You can watch the video with VR goggles on YouTube at

jz5vQs9iXCs. This reinforced their brand values and brought to life their vision. This

approach could be considered as ‘consumer return on investment’ as the consumer

actively invests their money in a pair of TOMS shoes, knowing that they are buying

another pair for a child in need (see Figure 7.5 Typology of experiential value).

Typology of experiential values

As traditional shopping becomes more of an experience, partly to compete with online

shopping, researchers studied how shoppers gained experiential value. One group

of researchers, led by Charla Mathwick, created a typology of experiential values,

which was based on two axes: (a) intrinsic and extrinsic; and (b) active and reactive.

The typology is shown as a matrix in Figure 7.5.


Playfulness Aesthetics


Return on













Figure 7.5 Typology of experiential value

Source: Mathwick et al., 2001, p. 42

The four quadrants signify different approaches to the experience influenced by

internal and external factors:

• Playfulness (intrinsic and active): the enjoyment and hedonic benefit of shopping

(see Chapter 2 for more on hedonic consumption).

• Aesthetics (intrinsic and reactive): how the consumer sees the retail environment,

the photography and layout of the website.

• Consumer return on investment (extrinsic and active): this concerns the utili-

tarian benefit where the consumer actively invests their money (see Chapter 2

for more on utilitarian consumption).

• Service excellence (extrinsic and reactive): the consumer makes quality judge-

ments against the service.

Table 7.3 Experiential value applied to retail examples of virtual and augmented reality

Example Playfulness Aesthetics

Consumer return on




IKEA launched a VR kitchen

where users could walk

around, change the design

and peek into cupboards

(Åkesson, 2016)


indicated users

found it fun



and easy to


Saved users time in

trial building a kitchen

before visiting the


The app gained

good feedback

for its quality of


L’Oréal introduced Makeup

Genius, an AR app

Fun for users to

add make-up to

their image

Aesthetics are

a critical factor

with this app

Encourages users to

try lots of make-up

before purchase

The app doesn’t

yet have sufficient


Nike Sneakrs App includes

access via AR of limited

edition products

Fun to use Aesthetics are

a critical factor

with this app

Allows consumers to

access limited editions

Many good

reviews online


Considering the application of VR and AR in the retail sector, we can test the typol-

ogy against different examples, as shown in Table 7.3.

IKEA’s use of the VR app to build a kitchen, as shown in Figure 7.6, allows the home-

owner to walk around and decide what is and isn’t needed. It brings the experience

to life, making it real. It may also reduce the number of people retuning goods after

the sale has taken place.

Figure 7.6 IKEA VR kitchen app

Source: With thanks to IKEA

Activity 7.3 Analysis of Experiential Value

1. Find a virtual reality or augmented reality shopping app (search online or ask friends).

2. Review the app and its functionality, and using Table 7.3 as a framework conduct an analysis

into what works well and what does not work.

3. Compare your responses with others in the class.


Virtual reality, augmented reality and mixed reality are used in many teaching sce-

narios; from science to geography; from geology to art (Curcio et al., 2016). This is one


area that has seen growth, starting with online learning tools such as virtual learning

environments (you might use BlackBoard or Moodle at your university), and organisa-

tions like Google invest in virtual reality apps for education (see Case Example 7.2).

Case Example 7.2 Google Expeditions

Google spends a significant amount on research: as an example, at the end of 2016 it had 27,169

full-time employees working in research and development and spent nearly $14 billion on research

(Alphabet Inc., 2017).

One key area for Google is education and it has created Google Expeditions, a virtual reality field

trip app. This allows teachers to take students on field trips – but from the classroom!

• It may be a geography class exploring South America, and students can take a field trip to Chile

and visit Santiago and Valparaíso.

• It could be a computer science class covering the history of computing and visiting Bletchley

Park in England to investigate (1) Second World War codebreaking; (2) Colossus – the world’s

first electronic computer; (3) The WITCH – the world’s oldest original working computer; (4) 1960s

and 1970s large system computers; and (5) personal computing, 1980s to the present.

• Or it might be an overseas visit to France that can start preparation with a VR field trip to Paris to

visit key sites such as: the Arc de Triomphe, the Sacré-Cœur Basilica and The Louvre museum,

before the real trip takes place.

The expeditions require two roles:

• Guide – this is usually a teacher or a parent. They manage the expedition and point out areas

of interest and lead the field trip.

• Explorer – this is usually a student and could include parents who follow the expedition on their

mobile device, watching the points of interest highlighted by the guide.

Expeditions require some kit to function (a tablet, virtual reality viewers, phones and a router to con-

nect them all) and the free app can be downloaded for the expedition to start.

Google has also created an AR version that allows students to use their phones in the classroom.

See more at

Case Questions

• What do you think about the idea of virtual field trips?

• Have you participated in real-world field trips? If yes, what were the best and worst moments

and why?

• What are the advantages and disadvantages of real-world field trips, compared to those in the

virtual world?

7.4.5 TRAVEL

The travel sector has also embraced virtual and augmented reality with VR previews

for travellers and AR wayfinding around airports and city guides.


One example of VR previews is the Thomas Cook Virtual Reality Holiday ‘Try Before

You Fly’, accessed via Samsung Gear goggles in showcase stores in the UK, Germany

and Belgium (Thomas Cook Group, 2014). According to the VR developer, early trials

indicated ‘a 190% uplift in New York excursions bookings after people tried the 5

minute version of the holiday in VR’ (Visualise, 2015, p. 3) but this wasn’t a scientific

test and we don’t know if these people had already decided to go to New York!

Gatwick Airport has installed 2000 beacons to enable augmented reality wayfinding

(Gatwick Airport, 2017). Users can take their mobile phones to see where to easily

locate specific destinations such as check-in areas and departure gates, as shown in

Figure 7.7.

Figure 7.7 Gatwick Airport augmented reality wayfinding app using beacons

Source: Gatwick Airport


Being able to view the inside of a machine has been around for some time. In the

past the US Department of Defense created a Virtual Manufacturing Initiative (Novak-

Marcincin, 2010). When I attended the Solidworks conference in Dallas there were

many vendors promoting software for Solidworks computer-aided design systems

that enabled engineers to look inside the machine. This meant that if there was an

issue, they would be able to see any potential difficulties and resolve them before

the manufacturing started. Industrial machines are expensive once manufacturing

starts and VR enables a thorough check before the major investment commences.


In automotive manufacturing, augmented reality through Head-Up Displays (HUDs)

or intelligent windscreens is available in luxury cars such as Cadillacs and BMWs. The

HUDs provide details such as speed limits and details on available fuel. Land Rover

launched a transparent bonnet virtual imaging concept with a ‘digital vision of the ter-

rain ahead by making the front of the car “virtually” invisible’ (Land Rover, 2014, p. 1).

7.4.7 GAMES

The main area where all forms of reality – virtual, augmented and mixed – have

seen major developments is in gaming. Entire businesses such as Steam have been

established, making games available to download.

Smartphone Sixty Seconds® –

Counting the Games

• Take out your mobile phone. How many games are on your phone?

• Who has the most games in the room and why?

• What are the most common games in your class?

Pokémon Go showcased how augmented reality works and Philipp Rauschnabel and

his colleagues have explored this game, noting that after launch this was the most

downloaded mobile game in 2016 (Rauschnabel et al., 2017). Rauschnabel and his team

also created a conceptual model for an adoption framework for mobile augmented

reality games, which is shown in Figure 7.8.

The rationale behind the creation of the model was there being no current theories

that explain consumers’ reactions to augmented reality. This is probably as it has

not gained full commercial traction, so there is little funding to research this area.

Rauschnabel acknowledges that the model was based on earlier theories such as uses

and gratification (see Chapter 13, Digital Marketing Metrics, Analytics and Reporting),

which suggested that the users’ reactions and intended behaviours are based on their

evaluation and perceptions of various benefits, risks and social influences. This is

shown in the first two parts of the model. The next element is the users’ reactions,

which looks at their attitude and behavioural intention – this takes us back once again

to the Technology Acceptance Model (see Chapter 2, The Digital Consumer).

Rauschnabel’s research involved a survey of 642 German respondents who had

installed Pokémon Go on a mobile device and who were paid to participate. The

results indicated ‘that consumers’ attitudes toward playing mobile AR games are mostly

driven by the level of enjoyment they receive and the image that playing a particular

game conveys to other people’ (Rauschnabel et al., 2017). So there could be other

issues with the research, as German Pokémon Go players might behave differently

to players in the UK, the United States or China. However, in the absence of other

frameworks, it is a useful place to start in considering the adoption of VR games.


Evaluation and Perception

User Reactions


• Hedonic

• Emotional

• Social


• Attitude towards playing

the game

Behavioural intention

• Intention to continue playing

• In App purchases


• Demographics (Age, Gender)

• Familiarity with the AR game


• Data Security

• Physical Security

Social Norms

Social In�uences

Figure 7.8 Conceptual model for an adoption framework for mobile augmented reality games

Source: Rauschnabel et al., 2017, p. 278

Ethical Insights The Flow Construct

How and when people play games can also be because they start a game and get into the ‘flow

experience’, a key construct created by Csikszentmihalyi (1975) where the characteristics include:

intense and focused concentration on the activity; loss of awareness of the surrounding space; and

losing track of time (Csikszentmihalyi, 1975; Nakamura and Csikszentmihalyi, 2001).

Flow possesses an autotelic dimension where no goals are needed and there is no reward,

other than being in that moment. In the flow state when the user or gamer feels their action

opportunities are too demanding for the skill level, the experience is worry and at the extreme it

becomes anxiety. When the skills are greater than the opportunities, this initially results in bore-

dom and can result in anxiety. When the skills and opportunities are in balance, this creates flow

where the gamer can play for hours on end, without noticing the elapsed time. (See also Ethical

Insights: Cyber addiction.)


All the realities need devices. The equipment needed includes headsets, cameras,

software development kits and creative software. This is one of the reasons that it is

mainly larger companies or organisations with greater budgets, that are investing in

virtual, augmented and mixed realities.



Companies using VR claim specific benefits; some examples include:

• Engagement higher in VR than web

• Higher brand recall as brands are part of the experience

• Can get more data, such as gaze tracking and heatmaps

• Omni Channel opportunities to bring VR in as one of the channels

• VR is PR as brands adopting VR gain positive mentions online and offline

However, there is less research in this area and fewer companies adopting VR to

confirm the accuracy or otherwise of these claims.


Access to smaller and cheaper technology and the state of ubiquitous computing mean

that some forms of realities are likely to stay within the wider marketing mix. Added

to this, a domain or sector tends to gain recognition when industry bodies are formed

and in this sector several different bodies have been created, as shown in Table 7.4.

Table 7.4 Industry bodies

Organisation Website Members include

The VR/AR Association (VRARA) Membership with chapters worldwide

Virtual Reality Society An information and news resource for

virtual reality and its related technologies

Global Virtual Reality Association Google, Samsung, HTC Vive, Oculus, Sony

Interactive Entertainment

The EuroVR Association Institutes, universities and academics

Augmented Reality Institutional supporters and individual

members worldwide

The Augmented Reality for Enterprise

Alliance (AREA) Mainly commercial organisations

Another indication of a developing future is that at the annual conferences for the best-

known tech companies – Apple, Google and Facebook – they all featured the realities.

• Facebook is keen to transform phones into VR headsets (sounds like Google


• Apple has launched ARkit, a new framework that enables the creation of aug-

mented reality experiences for iPhone and iPad

• Google has started Tango, a new AR computing platform. See



With major investment taking place by tech companies and with the development of

so many new tools to use the realities, marketers may need to consider their applica-

tion within their organisation. The application may not always be for customers; it

could also be applied to staff training, as it is for NASA.

Students at university often have the opportunity to gain access to two VR tools:

Aurasma and Blippar. If you do, make sure you take advantage of these opportunities

as you can add a new specialist skill to your CV: ‘Have used and applied AR software

to create advertising campaigns’!


1. How do you feel about all your activities being monitored when wearing VR

goggles? How should this be managed so that the usage isn’t abused?

2. What application do you see for group VR experiences within organisations?

What might be the advantages and disadvantages of these applications?

3. Construct an outline proposal for a VR or an AR app. Imagine you are working as

a marketing manager in an organisation and several members of the management

team are keen on the idea of VR or AR. This has been passed to you to explore

and to develop an outline proposal.

See Template online: Construction of an outline proposal for a VR or AR app


This chapter has explored:

• The cluelessness model and the flow construct and how these apply to technol-

ogy and our lives.

• What the six dimensions of interactivity mean for virtual reality.

• The concept of cyber addiction and the need for more research in this field.

• How augmented and virtual reality are applied to different business settings to

share information or help consumers.

• The benefits and possible future of the realities.






8 Audit Frameworks 205

9 Strategy and Objectives 225

10 Building the Digital Marketing Plan 249

11 Social Media Management 270

12 Managing Resources 294

13 Digital Marketing Metrics, Analytics and Reporting 309

14 Integrating, Improving and Transforming Digital Marketing 339




When you have read this chapter, you will be able to:

Understand how to adapt frameworks

Apply online brand consistency

Analyse online competitors

Evaluate corporate culture

Create an online digital marketing audit


When you have worked through this chapter, you should be able to:

• Create a micro-analysis

• Undertake a commercial competitor analysis

• Construct a digital marketing audit



A digital marketing audit provides a solid foundation on which to build your digital

strategy. It ensures you have a full understanding of the critical internal and exter-

nal factors covering all aspects of the organisation before building a strategy and

developing a plan.

This chapter shares the critical elements for a comprehensive audit that can

be applied both online and offline. You will learn how to discover threats and

opportunities before they emerge, with useful frameworks to structure your




There is a temptation to press the button and start advertising on social media, build

a website or develop an email campaign.

Please pause!

The social media campaign might miss the right audience, the website may not speak

to your real target customers and the email campaign may render negative results.

This often means campaigns need to be re-worked, more approvals are required and

customers become irritated with too many of the wrong communications, plus the

marketing budget is wasted.

A digital marketing audit provides a clear picture of the landscape in which you are

operating, whether it’s a bar or a software business. It highlights competitors, key

issues in the sector and makes the team think about the worst case scenario – what

could happen if?

At the same time, there are marketers who believe an audit is a waste of time and

think that as change happens so quickly, it’s better to learn to adapt instead. I have

to hold my hand up here and say that I don’t agree with that perspective. I feel that

when carried out well, advance planning can predict potential changes and enable

organisations to prepare. Plus there are other key benefits for you personally in con-

ducting a digital marketing audit, which include:

• You build professional research skills

• You develop an audit process

• You gain greater commercial awareness

• You gain evidence of where the organisation is now

• You can better understand analysis and apply critical thinking

• You understand that digital marketing audit is the first step in an effective digital

marketing plan

As Figure 8.1 shows, as step 1, the audit takes place before the strategy is created and

long before the plan or tactical campaigns are launched.


Step 1 – Audit

Step 2 – Strategy

Step 3 – Plan

Figure 8.1 Digital marketing audit in context

The advantages for organisations of a digital marketing audit include:

• Saving time by ensuring the right tactics are used, based on evidence

• Providing a framework for the strategy

• Focusing the plan on what matters

• Saving money by only spending what’s essential to achieve the goals

It may be that the audit doesn’t discover everything, such as the stealth competitor

that emerges out of the blue. But that’s rare and if it does happen the audit presents

you with options and a faster method of analysis.

An essential aspect of a digital marketing audit is the use of models and frameworks

that provide a structured approach to gathering data, reviewing, analysing and com-

paring information, to arrive at effective recommendations.

It is useful to consider the place of the audit within an overarching framework and a

useful model is MAOSTIC. Largely attributed to the Chartered Institute of Marketing,

MAOSTIC was positioned as an introductory concept for marketing students. It looks

at strategy and objectives within a wider context and stands for:

• M = business Mission

• A = marketing Audit

• M = marketing Objectives

• S = core Strategy

• T = marketing Tactics

• I = Implementation

• C = Control

MAOSTIC considers ‘where are we now?’ and to answer this question, it recommends

starting with the business mission. This should be centred around the organisation’s

purpose and is placed at the start to focus the marketing audit.


With a clear picture of the current context, the model moves into exploring ‘where

do we want to be?’ and after the audit the model recommends development of the

marketing objectives, followed by the strategy, as do other models. Having worked

as a practitioner for many years with hundreds of organisations, I think it’s easier to

create the strategy first and then the objectives. The theory is useful, but in practice,

what’s the point of creating objectives if the strategy hasn’t been decided? You might

have very clear objectives, but if that doesn’t fit with the strategy, they won’t work.

Chapter 9 looks in depth at strategy and objectives, and once the core strategy has

been decided, the model moves into marketing tactics, or the details that explain

what has to be done, along with implementation, which addresses how this is done.

This stage explains ‘how do we get there?’ and in Chapter 10, Building the Digital

Marketing Plan, and Chapter 12 Managing Resources, we will explore these areas.

The last stage is control or ‘how do we ensure arrival?’, and is critical to gaining sup-

port from the senior management team if you are working in a marketing role. We

will look at control in Chapter 13, Digital Marketing Metrics, Analytics and Reporting,

as this has changed dramatically with digital marketing.

This chapter explores the contents of the digital marketing audit as well as key models

and frameworks.



Let’s jump straight in and explore the typical contents of a digital marketing audit.


The organisation review is also referred to as a micro-analysis and looks at your

organisation in depth. Its purpose is to investigate the situation inside the business,

as if you were an independent third party reviewing its health and welfare.

Whilst this is an internal review, there are two levels of information available: (a)

internal data and (b) external data. Internal data may be available from the sales,

accounts and marketing teams, which may include:

• Sales data: top customers and key competitors

• Accounts data: best-selling products or top performing services, lapsed custom-

ers, average order values and sales volumes

• Marketing data: number of daily, weekly, monthly web visits, top website landing

and exit pages

Based on this data, an analysis can be constructed using a framework, model or

construct. The advantages of using a structured approach include:

• A clear comparative analysis is possible between the organisation and its



• A benchmark is created which can be reviewed in six or twelve months’ time.

• The review is easier to read and understand, especially if shared with other team


• Frameworks ensure all key factors are addressed.

And don’t get tied up about which model to use! You could use any framework that

works for you, as long as you are consistent and use the same tool for comparative

analysis. Plus you can adapt models to suit your needs. In the next example, I use

an adapted version of the 10Cs as the full version doesn’t work for me and I will

explain why.













Figure 8.2 Ten Cs of marketing for the modern economy

Source: Gay, Charlesworth and Esen, 2007


In 2007 Richard Gay, Rita Esen and Alan Charlesworth created the ‘Ten Cs of market-

ing for the modern economy’. Intended as a ‘useful framework for marketers assessing


for the modern digital marketscape from both an internal and external perspective’

(Gay et al., 2007, p. 12), it is abbreviated as the 10Cs and can be used as an audit model.

The customer is at the heart of this model, as shown in in Figure 8.2, and there are

nine further elements which are subsequently considered.

Whether you use the 10Cs as an audit model to consider your organisation on its own,

or with specific competitors, it reflects some elements which may not be easy to find

out. Let’s study each element, along with specific questions to consider.

1. Corporate culture

Corporate culture is about the organisation’s personality, what’s acceptable and what’s

not, its core values inside and outside the business.

Corporate culture is especially visible online, where announcements of CEOs resigning

as a result of an email or other online error are swiftly shared across social media; as

researcher Shirley Leitch remarked, ‘the internet has massively enabled information

sharing’ (Leitch, 2017, p. 1507).

Authenticity and transparency have become the digital indicators of corporate culture

where brands can be exposed if bad news is being hidden (McCorkindale and DiStaso,

2014). Researcher Brad Rawlins suggested that the key traits within transparency were

integrity, openness and respect (Rawlins, 2008, p. 95), which sounds reasonable until you

consider the behaviour of various companies who have demonstrated a lack of integrity

(the car emissions scandal from Volkswagen and others), lack of openness (leaks about

client details being hacked via Talk Talk telecoms), lack of respect for women (using

overtly sexualised and offensive images with an Elf in the discount retailer Poundland’s

Christmas campaign) and abuse of power (Oxfam staff engaging sex workers in Haiti).

Smartphone Sixty Seconds® –

Searching for Trust

Since 2001 Edelman, a public relations firm, has conducted an annual survey of trust which is known

as the Edelman Trust Barometer, sharing insights into feelings about trust in business, government

and media. The findings are shared on its website.

• On your mobile phone go online and search for the Edelman Trust Barometer.

• What’s the state of trust within business, government, NGOs and media?

• How has this changed in the last two years?

• Why do you feel this has changed?

2. Convenience

The element of convenience is straightforward to understand and is often used to

describe the ease with which a customer can make a purchase.


Applied in a digital sense, one organisation that focused its business on customer

convenience is Amazon, with the development of the one-click purchase. This has

since extended into instant voice purchasing via Alexa along with the Amazon Dash

button for simplified ordering (Farah and Ramadan, 2017).

Convenience can also relate to other conversion actions, such as how easy it is to

download a document, register for a webinar or fill in the contact form.

3. Competition

The next ‘C’ considers your competitors, and Gay and his colleagues suggested that

competition was on six levels:

1. Traditional competitors moving online.

2. New online-only entrants in domestic markets.

3. New online entrants from overseas.

4. Competitors from newly formed online alliances and partnerships.

5. Competitors introducing or eliminating channels of distribution.

6. Revitalised traditional businesses.

This is a broader consideration set than a simple competitor study and ensures mar-

keters can identify both existing and emerging competitors. Whilst this is a useful

checklist, as a way to better analyse the competition I have adapted the key features

for the Template to undertake online competitor analysis that is available online.

See Template online: Online competitor analysis.

One challenge most businesses face is disruptive marketing (see Key Term and

Discover More on Disruptive Marketing), where competitors who were previously

unknown, suddenly appear, as if from nowhere. In a globalised market, competitors

are more widely located and therefore an extensive search should be undertaken to

identify emerging competitors.


In 1996 Jean-Marie Dru published Disruption: Overturning Conventions and Shaking Up the

Marketplace in which he defined the concept of disruption:

Disruption is about finding the strategic idea that breaks and overturns a convention in

the marketplace, and then makes it possible to reach a new vision or to give substance

to an existing vision. (Dru, 1996, p. 54)

In terms of how disruption is achieved, researchers Theresa Kirchner, John Ford and Sandra

Mottner suggested there were eight contributing factors to disruptive marketing: financial

resources, entrepreneurial leadership, creativity, agility, proactiveness, risk tolerance, internal

cooperation and external cooperation (Kirchner et al., 2012).




There are not many academic journal articles that cover this area, but these two offer a useful

place to start:

• ‘Disruptive marketing strategy’, by Tomas Hult and David Ketchen (2017), published in the

AMS Review; and

• ‘Disruptive marketing and unintended consequences in the nonprofit arts sector’, by

Theresa Kirchner, John Ford and Sandra Mottner (2012), published in Arts Marketing: An

International Journal.

4. Communications

Social media has changed brand communications from the typical monologue and

dialogue to trialogue, where customers jump into conversations with other customers

(Tsimonis and Dimitriadis, 2014).

The audit factor is understanding what’s being said and where, especially with so

many voices involved in the communication. Being aware of the conversations allows

organisations to decide whether or not to participate and potentially manage any

issues before they spin out of control.

Digital Tool Google Alerts

At a basic level, Google provides notification of when your organisation’s name is added to a webpage

or mentioned in an online article. These are called Google Alerts and are free of charge.

Visit and add in the phrases you want to follow; add your email and you

will be updated when new mentions occur.

5. Consistency

A key feature in branding, consistency is ensuring that the same service, the same

message, the same tone of voice and the same use of imagery, is demonstrated across

all online and offline platforms. In a digital environment this can be a challenge in

two areas:

1. Where the online staff are aware of an offer that wasn’t shared with the offline

teams; and

2. Organisations with multiple sites (e.g. supermarkets, cafes, cinemas, hairdressers)

where entrepreneurial local managers may decide to create their own content.


It is therefore critical to ensure all teams, online and offline, in all locations, have

access to consistent messages and material.

Activity 8.1 Examination of

Brand Consistency Online

Select an organisation of your choice or somewhere you are working.

1. Provide evidence of how the organisation manages brand consistency. Is there a policy or


2. Is it clear whether all content is checked by one team or person?

3. Compare and contrast the online and offline content by analysing text and imagery from

three different pieces of content online (e.g. web page, Instagram page, Twitter page).

4. How is the consistency evident?

6. Creative content

Thinking back to when the 10Cs model was created in 2007, this was a time when

websites were expensive to create and therefore remained unchanged, often for sev-

eral years. This is now rare, as it is easier to make incremental changes with website

content management systems. The other major change since this model was cre-

ated is the growth of social media platforms, meaning that organisations may have

a ‘corporate face’ on their website, supplemented by an array of other, less formal

information sources, as well as user-generated content.

To a certain extent this element duplicates the previous element, communications, so

you may choose, as I do, to merge these elements when using this model.

7. Customisation

As websites contain many hundreds of pages it can be difficult to find exactly what’s

needed. This means that web visitors arrive at the website, have a quick look and

leave, seeking the item elsewhere. This is the rationale behind web personalisation

and customisation, to immediately show potential visitors what they might be seeking.

Writing in Internet Research, researchers Mamata Jenamani, Pratap Mohapatra and

Sujoy Ghose described ‘a scheme for providing personalized navigation structure

(link-structure) to each user’ (Jenamani et al., 2006, p. 253), which is based on these

factors :

• User behaviour: length of web visit, entry and exit pages

• User’s interest: navigational history of the past and current users.


These factors are available from Google or other analytics packages. Typically web ana-

lytics software will reveal the user behaviour and which pages they arrived at (entry

pages), where they visited, how long they spent on the website and the exit page.

Data on the user’s interest, such as how they navigated the site and when, is available

via cookies (see Key Term – cookie, p. 42). Google Analytics and other packages

provide a real-time view, which means that marketers can see who is on the website

right now and where they are visiting.

Having this knowledge enables decisions to be made on improving the pages and

personalising the experience. The personalisation manifests itself in ‘recommenda-

tions just for you’, based on your purchase and browsing history.

It has long been recognised that providing buyers with suggestions and recommenda-

tions on a website is effective in gaining attention (Ho and Tam, 2005). Other research

explored greater online personalisation and a study by Professor Benlian (2015,

p. 253) demonstrated that ‘content and design personalization cues can increase users’

attachment to a website’. If you consider websites you frequently visit, they may

remember your purchase history and your preferences, including delivery locations.

Customising your experience makes it a simplified shopping experience.

Personalisation and customisation are utilised by larger companies such as Amazon,

Netflix and, in the UK, NotOnTheHighStreet. Table 8.1 shows the customisation

techniques used by these companies.

Table 8.1 Customisation techniques

Customisation technique Description

Analysis of past transactions What did you buy? Because we don’t want to show this to you again,

unless there is an upgraded version.

Sample suggestions Would you like to look at this?

Content filtering What do you look at and what do you ignore?

Clickstream analysis What is your journey or path through the website, what makes you click?

If you are working in a marketing department, the key questions to explore are:

• How is our internal data captured and utilised within our marketing planning?

• Does the organisation personalise its online offer? If not do we have the technol-

ogy, skills and budget to deliver customisation?

• How do competitors use customisation on their websites?

8. Coordination

Coordination considers how well organised the purchase process is from start to fin-

ish and is now considered as part of integration as it concerns incorporating every

aspect of the customer journey, from the initial enquiry through to the final product

or service review. To a certain extent, coordination is superseded by the concept of

the customer journey (see Chapter 2, The Digital Consumer).


In this context, coordination is like consistency. The lack of integration occurs when

teams within the business are not connected, do not have the ability to speak with

each other or perhaps in organisations where silos exist and each department does

its own thing!

9. Control

The last element in the 10Cs considers control. In this model Gay and his colleagues

commented that as the internet provided opportunities to test and measure it offered

a form of control. We might call this ‘fail fast’ where an organisation experiments

with advert #1 which doesn’t work and moves onto advert #2 which is successful.

Control therefore represents measuring and monitoring, for greater visibility over what

does and does not work (see Chapter 13, Digital Marketing Metrics, Analytics and

Reporting), although it is difficult to analyse the control element within competitors.

Don’t worry – we haven’t forgotten the tenth C, the customer (see Figure 8.2).



Having considered the 10Cs model and ruled out (a) creative content, which duplicates

communications, (b) control, as it’s difficult to assess competitors, and (c) replaced

coordination with customer journey, we have a revised 7Cs model which I call the

digital 7Cs for competitor evaluation. This comprises: corporate culture, convenience,

competition, communications, consistency, customisation and customer journey.

Activity 8.2 Construction of The

Digital 7CS for Competitor Evaluation

Based on an organisation of your choice, use the digital 7Cs for competitor evaluation and evaluate

competitors to your chosen organisation. If any aspect of this model doesn’t work for you, adapt it!

See Template online: The digital 7Cs for competitor evaluation


Having understood factors within the organisation, it’s time to delve into how the

customer feels.

Understanding the customer is the essence of a successful organisation, although not

all organisations bother to find out! When a customer initiates contact, the question


is, what are they seeking? Table 8.2 highlights the main reasons why customers make

contact with organisations, along with examples and how to respond.

Table 8.2 Reasons why customers make contact with organisations

Reason for contact Examples How to respond

Seek information To find out how something

works, obtain dimensions or

details about delivery

• Include list of FAQs on the website

• Create ‘how to’ videos for popular requests

• Offer Live Chat for quick responses

Request advice More often on business

websites, but can be a detailed

information request

• Create ‘how to guides’ for selecting

different options

• Comparison tables

• White papers with more detail

Register or subscribe Registering for a newsletter or

subscribing to product updates

• Keep it simple and request only what’s


Place order/make


Complete a sale • Make it easy!

• Store the basket for a future shop

• Provide many payment options

• Allow customers to store their details if needed

It’s straightforward to capture the information for the ‘how to’ videos and other

guides. These are the questions most frequently emailed to the customer service or

sales teams!

Your internal sales data, questions to customer services and website analytics software

may provide your team with some information. The gap in this is ‘why’ the behaviour

has taken place and this may encourage further conversations with customers, which

can take place in many ways, including:

• In a focus group

• Face-to-face, meeting individual customers

• Via online survey sent by email

• Online survey as a website pop-up request

• Ask Me Anything #SMS sessions via social media (see Key Term – Ask Me

Anything #AMA).


The #AMA concept is said to have started in the social media platform Reddit and swiftly moved

to Facebook where organisations hold #AMA sessions where customers, stakeholders and

anyone at all can ask a question that will be answered online.

Reddit’s original concept was that #AMA was an interview, intended for use by actors and

celebrities, as they described on the web page:

Basically, /r/IAmA is a place to interview people, but in a new way. ‘IAmA’ is the traditional

way of beginning the description of who you are; ‘AMA’ is the traditional way of ending


the description; the acronym means ‘Ask me anything.’ The interviewee begins the pro-

cess by starting a post, describing who they are and what they do. Then, commenters

leave questions and can vote on other questions according to which they would like to

see answered. The interviewee then goes through and responds to any questions that

he/she would like, and in any way that he/she prefers. (Reddit Editors, 2015)

Since starting, the #AMA has become a way of allowing organisations to share news with

stakeholders. Typically an #AMA session lasts for a specified time, often one hour, although it is

not uncommon for the threads and conversations to continue long after the session has ended.

Online surveys are popular as they are fast and inexpensive (Hooley et al., 2012).

Plus, there are free tools such as and that can be

usefully employed to capture the data.

They often appear as a website pop-up request as visitors arrive at, or leave, a web

page. The downside is that many customers suffer survey fatigue and this has seen

the growth of single question surveys like the Net Promoter Score® (Wedel and

Kannan, 2016), which emails customers after a transaction has been completed (see

Digital Tool: Net Promoter Score®).

Digital Tool Net Promoter Score®

The Net Promoter Score® (NPS), asks the customer only one question: ‘How likely are you to recom-

mend (name of company)?’ and answers are scored from 1 to 10.

The number of detractors (those scoring 0 to 6) is subtracted from the promoters (those scoring

9 to 10) which provides a number out of 100, which is the Net Promoter Score®.

• See

Evaluating customer insights can be undertaken as part of the organisation review and

the critical factor is to ensure that an analysis or evaluation of customer insights could

be easily assessed in 12 months’ time, to understand what’s changed and whether

any improvements have generated results and achieved the organisation’s objectives.


All organisations have competitors! If you work in the third sector, within a charity

or campaigning group, it may appear that there are no competitors as your organisa-

tion may have a very specific focus. However, all those organisations competing for a

share of the wallet are competitors. If you operate in the same space, these are direct

competitors; if a possible donor is considering your organisation or another that is

completely different, this is an indirect competitor.


Even those working in the public sector, in government to consumer roles, have competi-

tors. Typically, governments allocate budgets based on a range of political and economic

factors. This means that if your government department or public sector body has expe-

rienced budget cuts it’s because others have taken your share of the available funds.

A competitor review provides a benchmark of how others are performing. This stage

of the audit involves a series of questions:

• What are the key digital strengths and weaknesses of the key competitors?

• How do competitors use digital marketing to acquire customers?

• How do competitors use digital marketing to convert customers?

Again, I recommend using a framework to compare like with like, to provide more

objectivity and highlight potential gaps. Useful frameworks to conduct audits include:

• The 10Cs of marketing

• Forrester’s 5Is.

The 10Cs of marketing (Gay et al., 2007) were considered in the last section, so I will

demonstrate how to apply Forrester’s 5Is in this section.


It is useful to understand the context as Forrester’s 5Is was developed in 2007 and

first appeared in a blog article by Brian Haven, part of the Forrester’s research team

(Haven, 2007). The concept was founded on the notion that organisations need to

focus more heavily on customer engagement.

In marketing there have been debates for years about goods-dominant and service-

dominant logic. The earliest models, like the 4Ps, were created at a time when

manufacturing dominated marketing and the focus was on goods (McCarthy, 1964).

By 2004 two researchers, Stephen Vargo and Robert Lusch, had created a firestorm

by suggesting that the 4Ps were passé (Vargo and Lusch, 2004). They quoted earlier

work from Day and Montgomery who diminished the 4Ps to a ‘handy framework’

(2004, p. 1). Whilst Booms and Bitner added three further Ps to the marketing mix,

it was (and is) still a goods-oriented model (Booms and Bitner, 1980).

To develop a services model Vargo and Lush reviewed much of the existing marketing

literature and proposed a services-driven approach, which stepped away from traditional

marketing frameworks. The new concept was called Service Dominant Logic (see Key

Term), which was the precursor to customer engagement and frameworks like the 5Is.


Vargo and Lush (2004) defined Service Dominant Logic (SDL or SD-logic) as a ‘reoriented

philosophy that is applicable to all marketing offerings, including those that involve tangible


output (goods) in the process of service provision’ (p. 2). In SDL there is a fundamental change

regarding the concept of resources:

• Operand resources – those on which an operation is performed to produce an effect, the


• Operant resources – those that produce effects and include ‘core competences and

organisational processes’ which are often invisible and intangible (p. 3) and are also

referred to as ‘skills and knowledge’ (p. 2).

The ‘service-centred’ view was described as having these attributes (p. 5), which included

recurring themes in the evolution of marketing, and these are highlighted in bold typeface:

1. Identify or develop core competences, the fundamental knowledge and skills of an

economic entity that represent potential competitive advantage.

2. Identif y other entities (potential customers) that could benefit from these


3. Cultivate relationships that involve the customers in developing customised,

competitively compelling value propositions to meet specific needs.

4. Gauge marketplace feedback by analysing financial per formance from exchange

to l ea r n how to i mprove the f i r m’s of fe r i ng to cus tom e rs a nd i mprove f i r m

per formance.



Useful articles include:

• The original article proposing service dominant logic: ‘Evolving to a new dominant logic

for marketing’ published in the Journal of Marketing (Vargo and Lusch, 2004).

• A review of the original proposal: ‘The evolving brand logic: A service-dominant logic

perspective’ (Merz et al., 2009).

• A follow-up article: ‘Service, value networks and learning’, published in the Journal of the

Academy of Marketing Science (Lusch et al., 2010).

• A useful third-party review article: ‘The evolution of service-dominant logic and its impact

on marketing theory and practice: A review’, published in the Academy of Marketing

Studies Journal (Zinser and Brunswick, 2016).

Having considered the concept of service dominant logic, the natural extension

was to further involve the customer, one of the early themes noted by Vargo and

Lush. This is echoed in the 10Cs framework, where the individual is placed at the


core and in the 5Is, the customer, or individual, was the first ‘I’, around whom the

model is centred. As shown in Figure 8.3, the remaining four ‘I’s focus on the level

of involvement, interaction, intimacy and influence that an individual has with a

brand over time.






Figure 8.3 Forrester’s 5Is

Source: Adapted from Haven, 2007

The 5Is was created in a digital environment and I have adapted the model to analyse

social media:

• Involvement – this considers the number of fans, strength of the audience


• Interaction – this considers the number of mentions, or comments or shares.

• Intimacy – as this is about the nature of the relationship between the firm and its

audience, I have suggested this focuses on sentiment and whether it is positive

or negative.

• Influence – this considers the online word of mouth, such as reviews, recom-

mendations and write-ups.


Having adapted the framework, let’s work through Case Example 8.1 of British

Airways’ use of Twitter, where Table 8.3 shows an evaluation of their strengths and



Case Example 8.1 British Airways’

Use of Twitter

Table 8.3 Evaluation of British Airways’ current digital marketing methods

5Is Strengths Weaknesses

Involvement (number of


Over 1 million fans on main Twitter


There are three Twitter pages, which

is confusing

The Twitter page does not explain

who manages the account and it lacks


Interaction (number of

mentions, comments)

Staff manage social media in a formal

way (Canhoto and Clark, 2013)

Responses are formal and do not

always provide a resolution (Öztamur

and Sarper Karakadılar, 2014)

Intimacy (positive,

negative sentiment)

Staff add their names after tweets,

trying to provide greater intimacy,

although this does not always resolve

the issue (Baird and Parasnis, 2011)

Unhappy customers badmouth the

company publicly via Twitter (Gregoire

et al., 2015)

Influence (word of mouth

including reviews)

Happy customers post good news via

Facebook (Gregoire et al., 2015) and

co-create brand stories (Gensler et al.,


Customers are passed on to another

part of the business, resulting in

potentially negative reviews, e.g. Hi,

we’re sorry you’re having difficulty

doing this. Please try this link to report


The evaluation demonstrates that there are gaps in the management of their current digital mar-

keting methods and practices. Having three Twitter accounts indicates a lack of control or perhaps

awareness? The lack of resolution of customers’ issues highlights that there is no evidence British

Airways have developed a strategy for managing positive word of mouth (Williams and Buttle, 2014).

Case Questions

• Can you extend and amplify this evaluation starting with the academic references provided,

which could be developed and investigated further?

• Can you explore British Airways’ online presence and develop the commentary?

• Does it matter that British Airways has three Twitter accounts? If yes, how could this be


Activity 8.3 Evaluation of the 5IS

Using an organisation of your choice, explore the organisation’s online presence and evaluate their

strengths and weaknesses using the 5Is.



A macro-environment analysis considers issues outside the organisation, which in

theory are beyond the organisation’s control and are located within the wider market


The best-known frameworks in this context are probably PEST or PESTLE, which

are mnemonics which stand for Political, Economic, Social, Technological, Legal and

Environmental. If the 4Ps are dead, perhaps so too is the PESTLE model! In 2006

George Burt and his colleagues reviewed PESTLE (also called PEST, STEEP – it all

depends on your tutor) and suggested there were limitations to using the model,

not least of which was trying to define what the environment was. Effectively their

revised model starts with a PEST and explored elements in more detail and planned

what could happen (Burt et al., 2006). Whilst it’s a useful notion, it still starts with a

PEST, which we will look at here.

PESTLE is often used to inform a TOWS matrix (see the TOWS Matrix in Chapter

9, Strategy and Objectives) and provides an essential contribution towards a digital

marketing audit. I think George Burt missed the TOWS element of PEST and how that

could better inform organisations as to strategic future options. Rather than listing

the PESTLE factors, Case Example 8.2 shows the digital PESTLE for an online fashion

brand, ASOS. It takes each element and considers the digital threats and turns these

into digital opportunities.

Case Example 8.2 ASOS Digital Pestle

Using the online fashion brand ASOS as an example, let’s explore in Table 8.4 how PESTLE can be

used as an evaluation tool to review digital opportunities and threats.

Table 8.4 Digital PESTLE used as an evaluation of opportunities and threats

PESTLE factor Digital threats Digital opportunities

Political Skilled digital workers may need to

leave the UK as it leaves the EU

Establish remote working facilities in key locations

to retain the skills

Economic Higher taxes may be imposed

to sell online goods in different

countries; the full impact of the

UK’s decision to leave the EU is still

unknown (Mintel, 2016)

Create micro-sites to address larger customer

bases in Europe

Social Consumers may start renting

clothes instead of purchasing

outright as relationships to

possessions change (Bardhiet

et al., 2012)

Trial a rental option for certain clothes and



PESTLE factor Digital threats Digital opportunities

Technological Competitors may partner with voice

recognition systems and the novelty

may lead to customer attrition

Research the Internet of Things to better

understand opportunities (Hoffman and Novak,

2016). For example, how to partner with voice

recognition systems such as Amazon Echo (Alexa)

and Google Home, so that shoppers can be

advised when new stock is added to the website

Legal EU legislation such as the General

Data Protection Regulation (GDPR)

(Regulation (EU) 2016/679) may

impact how online newsletters are


Ensure customer data acquisition and usage

comply with the GDPR

Environmental Taxes may be imposed for delivery

costs direct to the doorstep

Reduce carbon footprint by embracing open

market delivery stations, such as Amazon lockers,

for mobile customers (Shankar et al., 2016)

Case Questions

• Considering the digital opportunities for ASOS, which should be prioritised? Identify two of the

top priorities to address now.

• What is missing from this evaluation? Can you add further threats and turn them into opportu-

nities for ASOS?

Whilst Table 8.4 provides an outline of how to use PESTLE as a digital evaluation of

opportunities and threats, for a rigorous digital marketing audit you would:

• Add more commentary about specific issues raised

• Connect back to customer feedback received

• Provide more evidence to support the claims

• Prioritise the opportunities to consider first.


1. Using a framework, conduct an organisation review and micro-analysis which

identifies gaps in the organisation’s internal and external research.

2. Select an organisation of your choice and conduct a digital macro-environment

analysis using PESTLE, highlighting the strengths and weaknesses of the findings.



This chapter has explored:

• The rationale and benefits of a digital marketing audit.

• The range of models and frameworks that can be used for conducting a digital

marketing audit, such as the 10Cs and Forrester’s 5Is.

• Methods of collecting third-party data for analysis.

• Online methods of gaining customer insights.

• How to adapt traditional marketing models such as the environment scanning

PESTLE to consider digital ecosystems, exploring the online environment in more






When you have read this chapter, you will be able to:

Understand the difference between strategy, objectives and tactics

Apply the TOWS matrix

Analyse the organisation’s acquisition, conversion, retention strategy

Evaluate objectives using the REAN framework

Create a strategy


When you have worked through this chapter, you should be able to:

• Create a strategy for an organisation

• Develop digital marketing objectives for an organisation



Digital marketing strategy can seem complex and very much focused on tactics. Often

interpreted as a Facebook campaign or blog creation, digital strategy is so much more.

A successful strategy is based on evidence and in Chapter 8 you will have conducted

a digital marketing audit, identifying what works and what doesn’t, gaining a better

understanding of the overall context.

In this chapter we will explore different concepts, including digital strategy models

plus details on the hierarchy of objectives. At the end of the chapter you will better

understand what’s needed to create an effective digital strategy.


Strategy and tactics are often confused. You will hear someone saying their strategy

is ‘Facebook advertising’. That’s absolutely not a strategy! It’s a single tactic!

Digital marketing strategy is about more than tactics and lists of actions. Strategies

require a clear and strong vision. They set the direction for the organisation and are

often designed to be in place for several years. A strategy that’s changed every six

months causes confusion, wastes money and sends out the wrong messages to the

target audience.

• Strategy is a plan or programme, to achieve your aim or vision.

• Objectives are detailed SMART (specific, measurable, achievable, realistic and

timed) goals.

• Tactics are actions to achieve the objectives.

It is not uncommon for organisations to confuse strategy, objectives and tactics (see

Key Term – strategy).


There are several definitions of strategy, which are similar and focus on an overarching plan.

A marketing leader from the past, Wendell R. Smith, described strategy as ‘a program

designed to bring about the convergence of individual market demands for a variety of products

upon a single or limited offering to the market’ (Smith, 1956, p. 5).

Philip Kotler offered a complex and scientific description: ‘the marketing strategy is the

set of decision rules, or program that adjusts (product price, advertising budget, distribution

budget) from period T to period T + 1, for all T’ (Kotler, 1965, p. 104).

Michael Porter suggested that ‘A formal corporate strategy provides a coherent model for all

business units and ensures that all those involved in strategic planning and its implementation

are following common goals’ (Porter, 1997, p. 12).

Henry Mintzberg adopted a more straightforward approach and said ‘strategy is a plan’

(Mintzberg, 1987, p. 11).



Strategy, along with many marketing concepts, is founded on military theory. Armies

and their generals needed clear and decisive strategies to go into war; if not, with

hundreds of soldiers walking around with weapons, there would be total chaos.

The Art of War, written around 2,500 years ago by Master Sun (Sun Tzu), described key

tenets of strategy. Several expressions from the book are commonplace and demon-

strate the values of leadership, propaganda and a good competitor audit, for example:

• Leadership – A leader leads by example, not by force.

• Propaganda – The supreme art of war is to subdue the enemy without fighting.

• Competition – Keep your friends close and your enemies closer.

Historically, strategy focused on leadership or share within markets, competition and

product offers. It wasn’t about the customer, it was about beating the competition

and gaining maximum market share.

Marketing’s original focus was very much on making and selling products on the basis

that if you made it, you could sell it. Researchers V.K. Kumar and Roger Kerin explored

the evolution of themes in marketing, as shown in Table 9.1 (Kerin, 1996; Kumar,

2015). Kerin started the table, which was developed by Kumar to add in the post-1996

content. Unsurprisingly, at its inception the issue was about defining the nature of

marketing and developing key principles and ideas. This progressed into positioning

marketing as a management discipline which morphed into marketing as a science.

Marketing as a science elevated its importance. But beware, this is a hot potato!

Opinion is divided: some see marketing as an art, others see it as a science (see

Discover More on Marketing as Art or Science). I see marketing as an art and digital

marketing as a science, and that’s not popular with everyone.

Table 9.1 Themes and metaphors in marketing

Timeline Prominent theme(s) Predominant metaphor

1936–1945 Illuminating marketing principles and concepts Marketing as applied economics

1946–1955 Improving marketing functions and system


Marketing as a managerial activity

1956–1965 Assessing market mix impact Marketing as a quantitative science

1966–1975 Uncovering buyer and organisational


Marketing as a behavioural science

1976–1985 Crafting market/marketing strategy Marketing as a decision science

1986–1995 Identifying market/marketing contingencies Marketing as an integrative science

1996–2004 Customer profitability studies and resource

allocation efforts

Marketing as a scarce resource

2005–2012b Marketing accountability and customer


Marketing as an investment



Marketing at the core and new media


Marketing as an integral part of the


Source: Kumar, 2015, p. 2 Journal of Marketing




An irreverent writer on the topic of marketing as art or science is Professor Stephen Brown

from Ulster University. His writing is entertaining and often linked to pop hits of the 1980s and

1990s as well as Star Wars. He also has an ongoing battle with the American marketing great

Professor Philip Kotler, whom he likens to Darth Vader. Brown positioned himself as Luke

Skywalker, saving the world from marketing science.

There is a bit of history here too. In 1997 Stephen Brown was a guest editor of the European

Journal of Marketing. Presumably for a bit of sport he decided to write an article called ‘Kotler

is dead’ when Philip Kotler (known as the god of marketing in the United States) was very much

alive and well. Brown went one stage further and did not add his own name to the paper and

instead created a pseudonym, let’s call it a persona, named Alan Smithee of Alloa Metropolitan

University, Alloa, UK. Where? Exactly! The opening line is ‘Bastards!’ and this sets the tone for

a dialogical rant about marketing as a science. It also established a long and entertaining

relationship between Stephen and the professor he calls ‘Phil baby’.

I hear, from a very reliable source, that Phil baby sends Brown an annual email, reminding

him that he’s still alive and kicking, recounting how many hundreds of thousands of market-

ing books he’s sold that year, and asking Stephen for a response about how few he’s sold.

For entertainment and to learn about the history of marketing, see for example:

• ‘Art or science? Fifty years of marketing debate’ in the Journal of Marketing Management

(Brown, 1996)

• ‘Kotler is dead!’ in the European Journal of Marketing (Smithee, 1997)

• Postmodern Marketing Two: Telling Tales (Brown, 1998)

• And I would also recommend a newer book on brands, Brands and Branding (Brown,

2016), as this explains the background, components and place of branding in marketing.


Table 9.2 lists well-known strategy models, the author, when the model was created

and an overview. If you want to find out more on these, many are covered in tradi-

tional marketing textbooks, although I will explore the TOWS matrix in more detail

as this is a useful tool to identify strategic options.

Table 9.2 Strategy models

Model Author Date created Overview

Product differentiation

and market

segmentation strategy

Wendell R. Smith 1956 Smith viewed product differentiation and

market segmentation as being based on

supply and demand

Growth strategies for


Igor Ansoff 1957 Useful framework, often considered to be

too simplistic


Model Author Date created Overview

Diversification strategy George Steiner 1964 Main focus was company acquisition as a

diversification strategy rather than product

or market acquisition

Forces driving industry


Michael E. Porter 1980 Focus moved from the introspective

individual business unit to its wider

environment and five external forces

Application of generic


Michael E. Porter 1980 From the forces driving industry

competition Porter identified three generic

strategic options: (a) cost leadership; (b)

differentiation; and (c) focus

The TOWS matrix Heinz Weihrich 1982 Extracted the strategic options from a SWOT


Five Ps for strategy Henry Mintzberg 1987 A management rather than marketing focus:

Plan, Ploy, Pattern, Position and Perspective

MAOSTIC Chartered

Institute of


2004 Part of the traditional marketing process:

business Mission, marketing Audit,

marketing Objectives, core Strategy,

marketing Tactics, Implementation, Control

Smartphone Sixty Seconds® –

Searching for Strategy

Companies listed on stock exchanges such as the New York (NYSE) or the London Stock Exchange,

have to produce annual reports for shareholders. These contain their future strategies.

• On your mobile phone go online and search for ‘NYSE top companies’ or ‘FTSE top companies’

(The Financial Times lists the top 100 companies).

• Then select and search for one of these companies and find the annual report and identify

their strategy.

• Is the strategy clear?

• What model or framework are they using?



When creating a strategy it is useful to understand the options available. This should

be evidence-based and come from the audit (see Chapter 8, Audit Frameworks). Once

the audit has identified the current situation, it is easier to consider the future direc-

tion of the organisation.

Professor Heinz Weihrich created a model known as the TOWS matrix. You might

have noticed that TOWS is ‘SWOT’ spelled back to front. The idea of the TOWS is that

it takes the material captured in your audit, plots this into the matrix and extracts

your strategic marketing options. Weihrich noted that whilst this may not be new,


the difference with this ‘conceptual framework’ was that it provided ‘a systematic

analysis that facilitates matching the external threats and opportunities with the

internal weaknesses and strengths of the organization’ (Weihrich, 1982, p. 59) and

this is illustrated in Figure 9.1.

Internal Strengths (S) Internal Weaknesses (W)

External Opportunities (O) SO ‘Maxi-Maxi’ Strategy

Use strengths to maximise


WO ‘Mini-Maxi’ Strategy

Minimise weaknesses by taking

advantage of opportunities

External Threats (T) ST ‘Maxi-Mini’ Strategy

Use strengths to minimise threats

WT ‘Mini-Mini’ Strategy

Minimise weaknesses and avoid threats

Figure 9.1 The TOWS matrix

Source: Weihrich, 1982

Let’s explore each of these strategies in more detail.

SO ‘Maxi-Maxi’ strategy

This is a good position to be in and it’s about using the organisation’s strengths to

maximise opportunities. It has also been described as the aggressive strategy and

often involves expansion and diversification. There is an example of how this is

applied in Case Example 9.1.

Case Example 9.1 Airbnb

Maxi-Maxi Strategy

In 2008 Airbnb was officially launched as an alternative to hotel rooms. The company encouraged

people with spare rooms to rent their space to individual travellers when busy events were taking

place and where hotel rooms had sold out. There were some challenges along the way, with many

negative stories online, and as a result new policies and greater guidance have since developed,

building a strong and recognised brand.

As the business model was successful Airbnb adopted the SO ‘Maxi-Maxi’ strategy, focusing on

their brand’s strengths and identifying opportunities to move into new markets.

They realised business users were adopting Airbnb for business travel. There was an opportunity

to adapt the individual leisure traveller product to the business market. Executing the Maxi-Maxi

strategy required investment and changes to address the needs of the new market:

• Third-party booking tools, because the person making the booking is not always the person


• Self check-ins for late arrivals


• Business-friendly receipts noting all tax details

• One-click expenses so that charges are immediately billed to the company, not the employee

• Focusing on business requirements, including Wi-Fi, laptop-friendly workspaces

• Group trips, so teams could easily identify suitable accommodation

• Promotion on the website

Airbnb’s website claimed that over 250,000 companies have now used this facility.

Case Questions

• Can you think of an example where an organisation has expanded to harness its strengths?

• Did this work or were changes needed at a later stage?

WO ‘Mini-Maxi’ strategy

Where weaknesses have been identified they should be minimised by taking advan-

tage of opportunities. For example, it may be that an organisation has strong presence

in a specific market and could expand its product offer but lacks the technology to

address this. The WO strategy seeks to resolve this, which may be by acquiring the

skills or by company acquisition.

This could be described as a competitive strategy. Weihrich commented that failing to take

advantage of opportunities in this area could result in competitors moving into the market.

ST ‘Maxi-Mini’ strategy

This strategy utilises the organisation’s strengths to minimise threats. This is often

seen as a conservative strategy.

WT ‘Mini-Mini’ strategy

The WT strategy aims to minimise weaknesses and avoid threats and has been called

a defensive strategy. If this is the only strategy available to the organisation, it is not a

great place to be and it may be that a complete review is required to see if it is still viable.

Activity 9.1 Application of the

Tows Matrix

1. Using the TOWS matrix look back at a digital marketing audit you have conducted for an organ-

isation of your choice.



2. From this, extract the strengths, weaknesses, opportunities and threats and place into the outer


3. Make sure all elements are numbered.

4. If you have too many in one area, such as strengths or weaknesses, identify whether there is

some duplication and group some items together. This should be a focused list.

5. When the outer boxes have been completed, look first at the SO ‘Maxi–Maxi’ strategy box and

identify which strengths can maximise opportunities. Turn this into a short sentence, number-

ing the relevant strength and opportunity, so if presented to the organisation, they can see your

thought process.

6. Repeat for the remaining three strategy options.

7. If possible, reorganise each box and prioritise which strategic options will be addressed first.

See Template online: Application of the TOWS matrix



Digital strategy models are being led by organisations rather than researchers at

present. This section explains three digital strategy frameworks that are shown in

Table 9.3

Table 9.3 Digital marketing strategy models


The social media


The acquisition, conversion,

retention framework

McKinsey’s consumer

decision journey

Pre-purchase Awareness/Consideration Acquisition Consideration/Evaluation

Purchase Conversion Conversion Purchase

Post-purchase Evangelism Retention Post-purchase

These digital marketing strategy models all follow a similar three-step route from

pre-purchase, to purchase and post-purchase, recognising that this may all happen

simultaneously. For example, you may see an app, download it and review it within

an hour of purchase.

We also need to more closely consider the notion of purchase because consumers

are moving away from owning possessions to renting and borrowing, whether it’s

movies, cars, music or clothing, and in terms of growth strategies, it is a newer dis-

ruptive area that has flourished, such as Spotify, with over 50 million subscribers,

30 million songs and available in 60 markets – incredible performance from a com-

pany that never actually delivers goods to your doorstep.


If you think about it, many students arrive at their halls of residence with no television

and no music collection. Instead, TV is watched on YouTube, using whatever device

is available, and music is often streamed via Spotify, iTunes or other apps.

Researchers Fleura Bardhi, Giana Eckhardt and Eric Arnould have termed this move

from owning products to renting as ‘a liquid relationship to possessions’ (Bardhi

et al., 2012, p. 511). This means they have greater mobility, and whilst it is a form of

market development – why own when you can rent? – it still scares many traditionalists.



Read the aptly titled article ‘Liquid consumption’ in the Journal of Consumer Research by Fleura

Bardhi and Giana Eckhardt (2017).



Some definitions of collaborative consumption include:

• Rachel Botsman, co-author of ‘What’s mine is yours: The rise of collaborative consumption’,

has defined the sharing economy as ‘an economic system based on sharing underused

assets or services, for free or for a fee, directly from individuals’ (Botsman, 2015).

• Russel Belk, who has written prolifically on the concept of collaborative consumption, sug-

gested ‘Collaborative consumption is people coordinating the acquisition and distribution

of a resource for a fee or other compensation’ (Belk, 2014, p. 1597).



In an article in the Journal of Marketing entitled ‘When is ours better than mine? A framework

for understanding and sharing systems’, Cait Poynor Lamberton and Randall L. Rose (2012)

provided a useful typology of sharing systems.

Myriam Ertz and colleagues explored motives for sharing in their article ‘Dual roles of con-

sumers: Towards an insight into collaborative consumption motives’ (Ertz et al., 2017).


Plus we also share items. We share cars, sofas, playlists, film accounts, clothes and

books! The notion of a sharing economy is not new. We have always borrowed or

loaned goods between friends and neighbours.

Today’s sharing economy is more sophisticated. Instead of sharing with neighbours,

you are sharing with strangers and it is also known as collaborative consumption

(see Key Term).

Having considered the overall frameworks, this section describes these models in

more detail, with examples from organisations.


When advertising on Twitter or Facebook, both organisations in the advertising-side

platform ask organisations to identify their overall focus or strategy based on awareness,

consideration and conversion. As this is found in social media, I have called it the social

media strategy framework and I have adapted it to include evangelism, where fans are

raving about the product or service on social media. Figure 9.2 shows how this works.


• Brand awareness

• Reach


• Traffic

• Engagement

• Downloads or installs

• Video views

• Lead generation

• Messages


• Conversions

• Online sales

• Store visits


• Positive reviews and


• User-generated content

Figure 9.2 The social media strategy framework


Whilst this is valid in theory, it is more likely to occur in a messy fashion with links

to and from the different elements.


The social media framework includes brand awareness and reach at the start, recognis-

ing that in a digital environment, awareness can take place faster than in the offline

environment. Using social media advertising, a new service can be targeted at specific

customer groups, personas or other demographics, to gain awareness within minutes.


Consideration is the stage where visitors are thinking about your brand and this may

result in web traffic, talking about the brand online or other engagement, those with

apps or software may gain downloads or installations, videos may be watched, leads

generated or messages sent to your organisation.

It might also involve finding more information to think about things, before taking

a big decision. For example, considering a change of behaviour, such as a move to

online registration for government services, or finding out about giving up smoking

on health websites.


In a digital environment conversion can take place immediately after awareness. You

watch an influencer on YouTube talking about a specific product, search and buy in

minutes. This is one of the major differences in digital marketing.

It is also possible that once a product or service has been considered (whether that’s

in minutes or months), you move to conversion, which can mean different concepts

for different organisations. For example:

• For an online store, conversion focuses around goods being added to the shop-

ping basket and a checkout being performed.

• Conversion for online registration for government services means an individual,

family or business decides to complete the registration documents, or download

a pack to help stop smoking or lose weight.

• Downloaded or installed software or apps are used frequently rather than just


• This can also mean a visit to a physical store following an online discovery.


Once conversion has occurred, the next stage, which doesn’t always happen, is

evangelism. The aim is that the customer shares the good news, via positive online

reviews or feedback, or better still, other forms of user-generated content, such as

unboxing the product, providing a case study or explaining why they chose your



The challenge is that not everyone shares what they have purchased because:

• It’s a secret – a present for a friend and I can’t tell anyone until their birthday.

• It’s a company secret – I don’t want my competitors to find out.

• It’s boring – I’ve signed up for tax updates from a government website.

• It’s personal – I’ve signed up for a slimming programme but I don’t want people

to know right now.

Digital Tool Google Trends

If you are generating awareness of a new product or service, before the product or service is launched,

you might explore the online website Google Trends. This will show the volume of searches for this

subject and whether it is popular or not, and may influence your strategy.

• See



The acquisition, conversion, retention (ACR) framework is displayed as a circular

rather than a linear model. Whilst this framework has existed for some time, it is

largely credited to the consultancy firm Econsultancy (2009). As with the awareness,

consideration, conversion framework, this is another purely digital model considering

online customer acquisition, conversion and retention, shown in Figure 9.3.




Figure 9.3 The acquisition, conversion, retention framework

Source: Adapted from Econsultancy, 2009


The notion of customers taking an online journey from acquisition to conversion

and retention does include a hierarchy of steps. As with the social media framework,

acquisition and conversion may take place within minutes. It’s a self-explanatory and

simplistic model which may be why Econsultancy no longer includes the content on

its website. However, as an online-first model, it works well when considering how

organisations can better harness digital marketing.

Activity 9.2 Analysis of the Organisation’s

Acquisition, Conversion, Retention Strategy

Using Template 9.1, analyse the strategy within an organisation of your choice.

Remember, you are not creating objectives, but exploring their overarching plans and it may be

that not each element of the framework is employed.

Template 9.1 Analysis of the organisation’s acquisition, conversion, retention strategy

Phase Example of strategy within the organisation




Ethical Insights Blame the Agency

Coca-Cola launched a Christmas campaign to say thank you to fans in Russia as part of its retention

strategy. It created a map of Russia in its brand’s red and white colours that was posted on its social

media channels.

Maps in Russia are very complicated and perhaps not an obvious Christmas theme. Worse still,

this map didn’t include Crimea and many social media fans in Russia went online and complained,

saying it was incomplete and asking if Coca-Cola was making a political statement.

A second map was subsequently created and re-shared. This one included Crimea along with

the long-disputed and little-known Kuril Islands. This time those in Crimea complained and this map

was also deleted.

In the meantime, a political firestorm had started. Russians and Ukrainians were calling for boy-

cotts. A series of negative images about the brand appeared online and Coca-Cola headquarters

in Atlanta, Georgia, were forced to issue a statement saying sorry. Their response was that their

marketing agency made changes to the map without their knowledge or approval. It wasn’t us, but

the agency!

Online the images still exist; just search for ‘coca cola Christmas advert Russia’!




Another digital strategy model was created by one of the largest consulting firms in the

United States, McKinsey & Company. They conducted interviews with 20,000 consum-

ers within five different sectors and across different geographical areas, including the

United States, Germany and Japan, to address how strategy models were changing.

The McKinsey team also proposed another loop model instead of the traditional linear

approach, justified by their extensive study: ‘consumers are changing the way they

research and buy products’ (Court et al., 2009, p. 2).

They explained that this newer model, outside the traditional marketing funnel, was

why Amazon offered recommendations to customers who were exploring products

online and ready to buy. The model, shown in Figure 9.4, was more sophisticated

and more complicated than traditional strategy models. That is probably why some

marketers prefer to stick to the older, simpler and easier funnel.



The consumer considers an

initial set of brands, based on

perceptions and exposure to

recent touch points

Post-purchase the consumer builds expectations

to inform the next decision journey

Consumers add or subtract brands

as they evaluate what they want

The consumer selects

a brand at the moment

of purchase









Figure 9.4 The McKinsey consumer decision journey

Source: Exhibit reprinted with permission of McKinsey


Whilst this is technically a map of a consumer journey (see also Chapter 2, The Digital

Consumer for more on consumer journeys), it is a digital strategy model because it

considers the plan an organisation should make. It is also clearly worked as a strategy

model for Amazon, which is recognised as one of the world’s leading brands.

The McKinsey consumer decision journey comprises four phases: (a) initial con-

sideration set; (b) active evaluation; (c) moment of purchase; and (d) post-purchase

experience. Table 9.4 shows how the consumer decision journey applies to strategy.

Table 9.4 Application of the McKinsey consumer decision journey to strategy

Phase What this means

How this applies to the


Consideration If thinking about buying a car or a new beauty product,

consumers may have a brand in mind at the start

Gaining stronger brand


Evaluation Searching for reviews about the brand, consumers start to

actively evaluate the original or initial considered item against

other similar or different products and other brands. Consumers

might also message friends and family in this phase

Building positive online


Purchase This is when the sale takes place and the critical factor is that this

is no longer the last stage in the sales funnel

Improving the offer and

experience for customers

Post-purchase After the sale, consumers check to see what others have said

about the product and they may leave reviews

Encouraging customer


Part of the McKinsey consumer decision journey can be seen in company strategies,

such as Just Eat, shown in Case Example 9.2.

Case Example 9.2 Just Eat

You may already be familiar with Just Eat, which is an app that allows you to find and choose from

a whole range of food outlets near your location. What you may not know is that this was created in

Denmark and is now available in many countries.

The company described itself as a ‘global marketplace for online food delivery, providing customers

with an easy and secure way to order and pay for food from our Restaurant Partners’ (Just Eat, 2018)

and its strategy is based on three aims: (a) improving the consumer experience; (b) bringing greater

choice; and (c) driving channel shift.

Just Eat seems to be using an adapted version of the McKinsey consumer decision journey:

• Improving the consumer experience – moment of purchase – making it easy to order with one

click, embracing technology to order from Amazon Alexa.

• Bringing greater choice – active evaluation – so many outlets in the scheme all display the logo,

plus an online price promise makes evaluation easier.

• Driving channel shift – initial consideration set – ongoing brand investment to ensure the name

gains strong recognition online when people are thinking about a take away and use the app

not the phone.



Case Questions

• Have you used Just Eat or a similar online food ordering system?

• How did you make the purchase; via phone, app or Alexa?

• After the purchase did the company capture the post-purchase experience via reviews and


• Was this a one-off purchase or are you a retained customer?


These three digital strategy models more accurately reflect the online purchasing

system. Whilst you can use traditional strategy models, do ensure they are adapted

and properly reflect the organisation’s situation.

Added to this there is the concept of deliberate and emergent strategy (see Key

Term). You may have a strategy in place, that is the intended or deliberate plan, but

something happens and a new strategy emerges that actually works!

As an example, Twitter’s original strategy was to provide an SMS service for small

groups. Their original marketing material (long disappeared) talked about an online

office watercooler, the idea being that when you were getting a glass of water, or

making a coffee in the office, you caught up with colleagues and found out what was

happening. Twitter as it then was, would facilitate this in an online capacity. However

the intended or deliberate strategy was never realised as it soon became a breaking

news channel and adopted the emerging strategy instead.

Whilst strategy is an intended plan, it can change due to disruptions in the marketplace

that were not predicted or were ignored (see Chapter 1, section 1.4, Digital disruption).

It is essential for marketing professionals to be able to adapt the models and frame-

works. One of the challenges is that students often stick rigidly to every single aspect

of a model, even when not appropriate. If it’s not relevant, remove or adapt the ele-

ment and explain why!

And if the market changes, don’t stick to the same strategy: review and adapt too!



Deliberate and emergent strategies were originally described by Henry Mintzberg and James

Waters (Mintzberg and Waters, 1985, p. 257):

• Deliberate strategies are those ‘realized as intended’ – it all went to plan.

• Emergent strategies are ‘patterns or consistencies realized despite, or in the absence of,



The key is to have a strategy – a clear vision for the future which is shared with staff.

The strategy may not contain all the detail as it is the overarching focus and more

information may be included in the final plan. The key components in a strategy are

that it is:

• A short statement

• Based on a strategy model of your choice

• Not timed

• An overview rather than detail

• Usually brave!


When the strategy has been agreed, the next stage in the digital marketing process

is to create objectives, which we will explore in this section.


As we saw in Chapter 8, the digital marketing audit explores ‘where we are now’

and the strategy describes ‘where we are going’. Traditionally strategy was centred

around growth in terms of sales or market share, because most commercial organisa-

tions were aiming to increase return on investment. Today it tends to be focused on

awareness, consideration, conversion, evangelism or retention.

Organisations often have a hierarchy of plans and objectives which are categorised

in a pecking order, which can be confusing. A friend working in a new job recently

messaged me via LinkedIn with this question: ‘I’m currently in the middle of writ-

ing a digital marketing plan. However, I can’t decide whether I should be writing

individual objectives for each department or whether the objectives should be for

the entire company?’

To answer this question, we can look at earlier research, and Charles Granger writing

in Management Review (1970) explained that strategic business objectives concerned

three key areas: (a) financial; (b) product–market mix; and (c) functional (technical,

marketing, operations, personnel), as shown in Figure 9.5. You need to be aware of

this, especially when working, as organisations may require marketing objectives

that fit with overall policies.

Strategic business objectives are often framed around growth, regardless of organi-

sation type. People often think that government departments and charities don’t or

shouldn’t have conversion goals. However, different organisation types can have dif-

ferent goals, whether this is sales, customer awareness or retention.

In Table 9.5, I have illustrated different organisation types and their possible goals.

Business goals are the basis for marketing objectives and these revolve around the

concepts of awareness, consideration and conversion.


Digital marketing


Digital marketing mix objectives




Figure 9.5 Hierarchy of objectives

Table 9.5 Business goals based on organisation type

Organisation type Examples Growth goals

Commercial organisations Business to consumer, business to

business companies

Increased awareness

Commercial organisations Business to consumer, business to

business companies

Growth in consideration of a

product offer

Commercial organisations Business to consumer, business to

business companies

Increased website conversion

Commercial organisations Business to consumer, business to

business companies

Increased customer retention

Public service organisations,

commercial organisations

Government departments, charities,

business to consumer, business to

business companies

Growth in awareness of an

organisation or its product offer

Public service organisations,

commercial organisations

Government departments, charities,

business to consumer, business to

business companies

Growth in conversion for a product

or service

Whilst these are examples of goals, they are not objectives as we all know that objec-

tives need to be SMART: Specific, Measurable, Achievable, Realistic and Timed.

Let’s explore digital marketing objectives in more detail in the next section.



A key element of digital marketing is the development of sustainable objectives.

Typically, in organisations the objectives often focus on numbers: totals of sales

achieved; value of sales; numbers of customers; or volume of products sold.


The challenge for marketing is that focusing on numbers alone limits the focus to

quantities and does not create a healthy business as they can fail to provide a sus-

tainable customer offer.

For example, some years ago the cheapest supermarket on the UK high street was called

Kwik Save. It focused on very low prices. It was super cheap. But even as a student on a

limited budget I wouldn’t shop there. It was a terrible in-store experience, more like a bat-

tle between customer, packed aisles and unhappy staff. No one wanted to be seen holding

their carrier bags! The firm ceased trading and the stores closed. Focused on the lowest

possible numbers it failed to attract sufficient customers in a competitive environment.

Smaller organisations also struggle to compete on price. Imagine selling software

and then major software corporations decide to give most of it away free. Similarly

individual hotels can no longer compete with large formula chains that can drop

prices, give big discounts and provide regular offers. The way to compete is based

on more than numbers.

This section shows you how to create objectives using tools such as REAN and the

5Ss. Once the objectives have been created, you can build your digital marketing

plan, which we will explore in Chapter 11.


Digital marketing objectives focus on customer acquisition, engagement and retention.

They should be based on the overall business goals and they should be SMART. If an

objective is not SMART it’s often a wish – a description of something that someone

would like to do, without any real substance.

Based on the goals shown in Table 9.5, we can transform these into SMART digital

marketing objectives, as shown in Figure 9.6.



To generate 10%

more visitors to the

website by 31


To drive 15% more

traffic to our website

by the end of Q1



To increase

engagement on social

media by 10% in the

next 6 months

To encourage 20% of

customers to leave a

review before 30


Increase website


To increase sales from

the website from 5%

of visitors to 10%

before 31 May

To encourage 15% of

web visitors to share

their email address

within 12 months

Figure 9.6 Business goals adapted into digital marketing objectives


The examples of digital marketing objectives in Figure 9.6 are part of the strategy

to grow the business using the acquisition, conversion and retention (ACR) model.

This section now looks at specific frameworks for creating digital marketing objectives.

Reach, Engage, Activate, Nurture (REAN)

In 2006 two consultants working in Finland at Satama (now Trainers House), Xavier

Blanc and Leevi Kokko, developed a model to use with clients which they named

Reach, Engage, Activate, Nurture, shortened to REAN (Jackson, 2009).

They had considered older models of marketing communication, such as AIDA

(Awareness, Interest, Desire, Action), but there were challenges. Firstly, what is

‘interest’? Does it mean a web visitor, someone who has downloaded a document or

something else? It was vague and lacked clarity. Then there was desire and how this

is measured online. How do you know when desire has been reached?

In a digital world they needed a digital model and so Blanc and Kokko created REAN

on the basis that all businesses need to reach potential customers; engagement starts

a conversation; activation organises the sale; and finally, nurturing looks after the

customer, encouraging them to return. Examples of REAN objectives include:

• Reach: To reach 5,000 new customers before December

• Engage: To engage with 30% of all web visitors in quarter 2

• Activate: To activate sales from 10% of all web visitors over the next 6 months

• Nurture: To nurture 80% of all customers by July

Activity 9.3 Evaluate Objectives Using

the REAN Framework

For an organisation of your choice, create and then evaluate your objectives using the REAN framework.

Evaluate objectives using the REAN framework

Area Your objectives Strengths/weaknesses of the objective





Sell, Serve, Speak, Save, Sizzle – 5Ss

Another tool to create objectives is the alliterative 5Ss model, originally created by

Dave Chaffey and P.R. (Paul) Smith in their book eMarketing Excellence (Chaffey

and Smith, 2008).

Strategy and ObjectiveS 245

Smartphone Sixty Seconds® –

identifying the Objectives

• On your mobile phone go online and find a brand you have visited before.

• Based on their web content, judge what are their top three objectives.

• Share with classmates.

This model was originally intended to be a rubric to assess website effectiveness; it

wasn’t designed as a tool for developing objectives. As an early adopter of websites,

I found this a useful tool, but soon realised this would work well as a structure for

developing objectives in organisations and started to use it when creating digital

plans and the idea developed.

You may find that when creating objectives it is difficult to find one for each of the

elements of the 5Ss, so you may create two objectives in some places.

5S – Sell

This is about the numbers – the volume of sales or ‘conversion activities’ such as

newsletter registrations, downloads and other relevant activities. Sales objectives may

also be created within strategic business objectives.

5S – Serve

Customer service objectives ensure organisations strive to improve and develop the

service. It is the one area where smaller businesses can win against large businesses,

where it can be difficult to consistently deliver fabulous service if you employ thou-

sands of staff.

5S – Speak

Speak is staying in contact with customers and planning communication. Some

organisations send you daily emails, some weekly and some every now and then.

Speak is also evolving with Live Chat where people can instantly speak to company

representatives online.

5S – Save

Organisations are under constant pressure to improve processes and this is where

saving time and hassle, for the organisation or the customer, has become an important

factor in business management.

The best-known example of saving time is probably Amazon’s 1-click ordering system.

In September 1997 the United States Patent and Trademark Office (USPTO) issued

DIGITAL MARKETING246 with patent reference US 5960411 for the 1-click order system. The

objective was to save customers’ time when placing an order and remove the hassle

of re-entering their name, address, delivery location and payment information. created a simple ordering process. It generated increased sales for the

company, saved customers time, had not been used elsewhere and was easy to use –

a classic win–win situation.

Amazon’s one click to order was both save and sizzle, which introduces another chal-

lenge: some objectives can achieve two elements in one. What you have to remember

is to focus on the primary objective.

5S – Sizzle

The toughest objective to develop! A famous marketing slogan from the last century,

attributed to Elmer Wheeler, head of the Tested Selling Institute, was ‘Don’t sell

the steak – sell the sizzle’ (Wheeler, 1937). This was re-phrased in the UK as ‘Sell

the sizzle not the sausage’.

Sizzle is the magic, the factor that makes a difference to a product or service, and adding

something so different to the product, promotion or other part of the digital marketing

mix, that it stands out and customers and competitors alike say ‘wow, that’s amazing’.

Sizzle needs a bit of thought. It’s often not seen within the organisation and can be

developed with help from customers. The key is to ask customers, ‘if we could wave

a magic wand and change one thing, what would it be?’.

Examples of digital marketing objectives using the 5Ss include:

• Sell: To increase sales via our Facebook page to 10% in the next quarter

• Serve: To add messaging functionality to Twitter to automatically respond to

FAQs, by June

• Speak: To add Live Video Chat to the website within 12 months

• Save: To analyse frequently asked questions and add to Live Chat by December

• Sizzle: Create a how-to video channel to explain our FAQs by the year end


The marketing mix objectives address elements of the 7Ps identified by Booms and

Bitner (1980), and known as ‘the extended marketing mix’.

The ‘traditional marketing mix’ is known as the 4Ps and comprised Product, Price,

Place and Promotion. I always felt that ‘place’ was shoe-horned into the model due

to the alliteration as it really meant the location or delivery point. Today we think of

place as online, in-store or mobile.

The 4Ps marketing mix was designed at a time when businesses sold products

rather than services and this concept of the 4Ps is credited to E. Jerome McCarthy

who created the alliterative terms (McCarthy, 1964). In 1980 two researchers in tour-

ism, Bernard H. Booms and Mary J. Bitner, claimed that the 4Ps were insufficient


for service businesses (Booms and Bitner, 1980). They stated that the ‘customer is

directly involved in and contributes to the assembly process’ (p. 344). Their research

investigated the differences between products and services, concluding that the 4Ps

model did not fully work in services. They identified three missing variables, which

they named Participants, Physical evidence and Processes. Participants later became

People and these are the 7Ps of the extended marketing mix.



Product or service is still the same, although the issue is that services could take longer

to become digital as the customer needs to be present – think about hairdressers! In

the future we could opt for the augmented reality haircut!

However, we have also seen growth in pure digital products: downloadable books,

music and videos. I can create personalised birthday cards online to be signed and

delivered direct to the recipient and get an annual reminder which also tells me which

cards I’ve sent before. I love the organisational abilities of these digital stores and

how they #MakeMylifeEasy by intelligently using data.

Pricing is changing in a transparent digital world. How many times have you searched

for an item online and opened multiple windows conducting three or four searches

at the same time, to see which one comes back cheaper? This is why companies in

the future will build delivery costs into all transactions.

Place is the fast-changing variable. I can get my order delivered to work, to home, to

a parcel collection point, to click and collect, to a locker. I get a text message telling

me when my delivery is arriving – sometimes with the name of the driver and their

vehicle registration number. Plus I can buy online, via mobile app and a few items

on my smartwatch. I can ask Alexa to order books for my Kindle and to add grocer-

ies to my shopping list.

Promotion is adapting to new channels such as personalised social media advertising.

Although I have many email addresses and receive many emails a day, I still check

some shopping emails (see Chapter 3 and Figure 3.3 Why email works model).

People’s roles are changing, as we are witnessing the growth of digital jobs. A quick

search online shows hundreds of jobs with titles like: Head of Digital Marketing,

Digital Marketing Manager, Digital Specialist, Digital Analyst, Senior Digital Strategist,

Digital Marketing Specialist, Digital Marketing Executive, Digital Marketing Assistant

and Digital Marketing Intern. More staff have digital responsibilities and are aware

of online customer contact.

Physical evidence concerns the online experience, the user experience (UX) or, as it’s

now being called, the customer experience (CX). How many clicks do you need to

make to fulfil a task, such as download a document, place an order or book a ticket?

Processes are slower to catch up, and thinking that it’s nearly 20 years since Amazon

patented its 1-click shopping, many other stores are still behind. This is one of the

reasons that Amazon dominates the online shopping environment as it has made the

process remarkably easy.


Having discussed the application of the 7Ps extended marketing mix to digital objec-

tives, we can say examples of digital marketing mix objectives might be:

• Product (or service): To transform the offline training product into an online

version by the end of Q4

• Price: To increase online pricing by 5% by year end

• Place: To create a store inside Facebook within 12 months

• Promotion: To launch online social media advertising campaigns over the next

12 months

• People: To empower staff to respond faster on social media by June

• Physical evidence: To remove two steps from the user journey by September

• Processes: To offer live chat on the website by December

The stronger and clearer the objectives, the easier it is to build a digital marketing

plan. It’s worth spending time to ensure the digital marketing objectives are easy to

understand so that more people will agree to them, especially if you’re on a placement!

Finally, don’t have too many objectives. If you create a list of 30 or more, the plan

will be never-ending and nothing will be achieved.


1. Identify an organisation that is in the news and not performing well. Create

an alternative digital marketing strategy for the organisation and justify your


2. Create a customer retention strategy for an organisation of your choice.

3. Review the website of an organisation of your choice and assess its digital mar-

keting objectives.


This chapter has explored:

• How traditional models are applied to digital strategy.

• The usefulness of the TOWS matrix to develop strategic options.

• Newer digital strategy models, including the social media framework and the

ACR framework, which are designed for online organisations.

• How the hierarchy of objectives fits into the overall context for digital marketing






When you have read this chapter, you will be able to:

Understand digital marketing planning issues

Apply digital planning models

Analyse the impact and effort required

Evaluate the resources for your plan

Create your outline digital marketing plan


When you have worked through this chapter, you should be able to:

• Create a digital marketing plan

• Prepare a social media campaign



Understanding strategy and the process of creating objectives is the start of creating

a plan. This chapter explains how you bring together different elements to build a

workable digital marketing plan.

You will discover how to use the one-page digital marketing plan and comprehend

the requirements for resources as well as the different budgeting options.

The second part of this chapter looks at social media campaign planning and the

details needed to create an online campaign, whilst managing the workload.


A plan provides a focus, an agreed way ahead and enables organisations to save

resources. A lack of planning may impact the organisation in many ways, including:

• Confusion as no one is sure what’s happening.

• Working in silos as no information is shared and there’s a lack of integration

(Roberts, 2011).

• Lack of skills as no one may be available internally to carry out the work and the

organisation may need to spend more on consultants or agency staff.

• Difficult to measure effectiveness as if no plans are in place, no one will be clear

if the goals have been achieved.

• In a complex and changing external environment the wrong decisions may be

taken based on lack of information.

• Short-term decisions are taken based on immediate rather than long-term require-

ments and could be wrong.

• Greater investment is often required as carrying out actions at the last minute

may require larger budgets as goods and services may be more expensive.

Having identified issues with a lack of a plan, this still happens. Making a plan pre-

pares organisations and people for things that might happen, rather than ignoring

the situation and assuming it will all be OK.

This happens in digital marketing too; YouTube, for example, ignored calls to remove

terrorist videos until major advertisers stopped using the channel for adverts. They are

not alone, and all the tech giants had to create a collective plan to identify offensive

material and remove it before it is shared publicly.

Having a plan ensures you are prepared for what might happen as well as agreeing

the organisation’s future direction. Let’s explore how to build a plan.


With an understanding about the challenges due to a lack of planning, it’s time to

identify tactics to achieve the strategy and objectives.


Within the sequence of the digital marketing process, after the audit, strategy and

creation of objectives, the next step is building the digital marketing plan.

The plan should be based on (a) your strategy, (b) your objectives and (c) the perso-

nas. Effectively the plan details the steps required to achieve the objectives, so if you

haven’t finished your objectives, you can’t create the plan!

There are different ways to create a digital marketing plan, which largely depend

on the organisation or the brief you have been given. In this section we will look at

two approaches:

• Digital application of the 7Ps

• One-page digital marketing plan

You may wonder which approach to use. It’s fine to use either (unless there is a

specific request). You may find that the digital application of the 7Ps is often more

useful where an organisation has not fully embraced digital marketing, whereas the

one-page digital marketing plan outline is useful where an organisation has already

adopted digital tactics and is keen to improve.

A digital marketing plan, regardless of which approach is adopted, follows these steps:

• Step 1: Create a strategy and objectives

• Step 2: Build personas

• Step 3: Place objectives into a table, add outline tactics for each

• Step 4: Extract all tactical actions and add detail

• Step 5: Add resources and budget

And as you will notice, the plan won’t work unless you have already developed the

strategy, objectives and personas.

This is an iterative approach that starts by adding earlier work (strategy, objec-

tives, personas) and then considers potential tactics. Once agreed, detailed tactics

are added and skills required identified. You can then evaluate the resources and

the budget.


The 7Ps, also known as the extended marketing mix (Booms and Bitner, 1980), has

been used as a planning model as its focus can be tactical as well as strategic.

Let’s apply the model to the digital environment and explore examples of where

digital tactics can be applied:

• Product: Adapt or enhance existing products to a digital offer. For example, an

online bookshop’s website offers downloadable or preview material.

• Price: Pricing online is transparent so you should incorporate delivery, rather

than adding as an extra cost.


• Place: Enable buying via website, social media and mobile. More retail stores

offer all forms of purchase (online, in-store, mobile).

• Promotion: Social media advertising brings new promotion methods, as do har-

nessing social media networks to share product news. For example, GAP clothing

moved to mainly online ads to better target the right audience.

• Processes: Online this refers to the user experience; how many clicks to complete

the purchase? Many websites have reviewed the customer journey to ensure a

speedy process and enable login via Facebook or Twitter.

• Physical evidence: Does the user trust the website, does it look authentic? Google

is seeking greater authentication from websites with a Secure Sockets Layer (SSL)

to protect your data; without this, when browsing you may see the message ‘this

website may not be secure’.

• People: How does customer service work online? Is live chat available? Many

online retailers now offer live chat and messaging.

Many organisations have adapted to a digital version of the 7Ps, as Case Example 10.1

shows, with two fashion retailers. What is interesting is that their tactics are

remarkably similar.

Case Example 10.1 Digital Application

of the 7PS to ASOS and Boohoo

Online fashion companies ASOS and Boohoo offer similar products aimed at similar demograph-

ics. ASOS targets 20-somethings and Boohoo targets 16–24-year-olds (ASOS, 2017; Boohoo, 2017).

Table 10.1 shows how they have digitised the 7Ps.

Table 10.1 Digital application of the 7Ps to ASOS and Boohoo

7Ps ASOS Boohoo

Product • Products grouped into demographics (men,

women) and products, brands and edits

• Also offers ’Marketplace’, enabling boutiques

to sell direct

• Products grouped into demographics

(men, women) and themes

(campaigns, trends, get the look)

Price • Premier Delivery UK for unlimited next-day or

nominated-day delivery for 12 months – pay


• Boohoo premier – pay £9.99 for free

next day delivery for 12 months

• Student discounts offered

Place • Orders via website and app

• Free delivery with orders over £20

• Click and collect

• Evening delivery

• Precise time delivery

• Orders via website and app

• Collect from lockers

• Evening delivery

• Weekend delivery

Promotion • Places ads across social media

• Uses Instagram to promote new products

• Places ads across social media

• Uses Instagram to promote

new products

• Offer codes available online


7Ps ASOS Boohoo

Processes • Encourages account registration to remember


• Encourages account registration to

remember details



• Easy to use site with frequently changed

home page

• Easy to use site with frequently

changed home page

People • Online customer care

• Live chat

• Customer support via Twitter

Case Questions

• Looking back at how ASOS and Boohoo apply the 7Ps, how else could their develop their tactics

to create a greater difference between each other?

• Do you recognise tactics employed by other organisations?

• What do you recommend they should do differently and why?


In Chapter 9 we looked at strategy and objectives, and considered how a strategy

translates into objectives. This was shown as an example in Figure 9.5, and if we

adapt that diagram and list some possible digital marketing tools to use, we can start

to create that plan.

Table 10.2 shows the strategy, digital marketing objectives and tactics that have already

been created. There are two objectives for each strategy and each objective has one

or more suggested tactics.

Table 10.2 Strategy, digital marketing objectives and tactics

Strategy Generate awareness Grow consideration Increase website conversion

Objective #1 To generate 10% more

visitors to the website by 31


To increase engagement on

social media by 10% in the

next 6 months

To increase sales from the

website from 5% of visitors to

10% before 31 May

Tactics #1 • SEO

• Online PR

• Social media • Improve UX

Objective #2 To drive 15% more traffic to

our website by the end of Q1

To encourage 20% of

customers to leave a review

before 30 September

To encourage 15% of web

visitors to share their email

address within 12 months

Tactics #2 • Advertising to

drive traffic


• Blog

• Email marketing • Site design

The strategy is based around the social media framework (see Chapter 9) and the

objectives are aligned with this.


Under each objective I have added one or more possible tactics, which we can now

expand into a plan. Before we do, we need to consider that there are three fundamen-

tal stages in the user or customer journey: pre-purchase, purchase and post-purchase.

These are described in the strategy as awareness, consideration and conversion, so

they are arranged in a logical order.

Another key factor is that we are targeting specific individuals or audience personas

(see Chapter 4) rather than everyone who may visit our website, social media space

or affiliate site.

This is because it’s fine to consider social media to increase engagement, but if our

persona doesn’t use social media, it won’t work. So now you need to revisit the one,

two or three personas you created earlier (see Activity 4.1: Construct a digital persona,

p. 104) and ensure these are still valid and resonate with the organisation’s strategy

and objectives. If not, you may need to adapt.

Having confirmed the personas, look back at your strategy and the desired objectives.

Ensure that you select elements from the digital toolbox which are relevant to the

objectives. To help with this, note which objective is being achieved for each tactic.

In some cases it may be more than one objective.

Table 10.3 shows an example of a one-page digital marketing plan outline. This

addresses the tactics only and does not address the resources required, nor the control

mechanisms and the measures. This provides a balanced overview to decide which

tactics should be selected and from this, the specific details concerning resources

can be added in the next phase.

With Table 10.3 we need to apply the plan to an organisation, so let’s imagine this is a

charity requiring volunteers, supporters and donors. I have added in three personas,

which we could outline as:

• Vic the volunteer – older, male, uses Facebook to stay in touch with grandchildren

only, checks email every day, visits the website, reads online articles

• Sam the supporter – student, rarely checks email, uses Instagram and only online

on mobile

• Diana the donor – business owner, donates money, has no spare time, uses

LinkedIn and Twitter, checks email, reads articles online

Your personas should contain significantly more detail and be evidence-based!

Table 10.3 One-page digital marketing plan

Strategy: Pre-purchase, purchase and post-purchase




Objective being achieved Persona 1

Vic the volunteer

Persona 2

Sam the supporter

Persona 3

Diana the donor

Email To encourage 20% of

customers to leave

a review before 30


Email and ask for

a review on how

volunteering makes

a difference


Strategy: Pre-purchase, purchase and post-purchase

Website To increase sales from the

website from 5% of visitors

to 10% before 31 May

Add case studies to

the website to show

the good work

Online PR To generate 10% more

visitors to the website by 31


Create a case study

on how volunteering

makes a difference

Find companies for PR

on benefits for getting

involved with charities




To drive 15% more traffic

to our website by the end

of Q1

Do not use PPC for these personas

Blogs To drive 15% more traffic

to our website by the end

of Q1

Articles on benefits

for companies to get

involved in LinkedIn



To increase engagement

on social media by 10% in

the next 6 months

Posts about

volunteers making

a difference and

organising a

volunteer event

Links to images

from resources

area with toolkits

on organising


Case studies on how

volunteering makes a

difference on LinkedIn




To drive 15% more traffic

to our website by the end

of Q1

Ads on Instagram

to download

useful content

from website

Urgent appeal ads on


UX To increase sales from the

website from 5% of visitors

to 10% before 31 May

Improve the

mobile UX

Site design To encourage 15% of web

visitors to share their email

address within 12 months

Add resources area with downloadable

toolkits on organising events

The essential aspect to this one-page digital marketing plan outline is that where

there are blank boxes, this is because the tactics (email, online advertising or pay per

click) are not relevant for those persona groups.

Activity 10.1 Create Your Outline

Digital Marketing Plan

Using the framework from Table 10.3 and the Template online, create an outline digital marketing

plan. Remember that not all elements of the digital toolbox need to be completed, but you need to

have developed relevant evidence-based personas!

See Template online: One-page digital marketing plan outline

Table 10.3 contained a list of actions and based on this I can construct the plan. I

have had to extract each action and granulate the details, as shown in Table 10.4. This

example is based on just two of the actions identified, which started as:


• Email and ask for a review on how volunteering makes a difference

• Add resources area with downloadable toolkits on organising events

The first of these, emailing, involves a whole series of actions and leads into develop-

ment of the case studies which is a second tactic.

Table 10.4 Building the action plan

Area Action When Note Skills

Email Segment database into

volunteers (V1 group),

supporters (S1 group) and

donors (D1 group)

By 28


Ensure we have consent to




Email Email volunteers and ask for

a review on how volunteering

makes a difference

15th of every


Once they’ve added, move

into new V2 group, so we don’t

continue to ask and irritate






Case study Find volunteers willing to be

case studies, initially ask

around in the office

By 31 March Try to get a balance of

people, so there is some

variation in the case studies

in terms of demographics

and activities


Case study Invite case study volunteers

into the office and interview

By 30 April Aim is to get 10–14 case



listening, writing

Case study Organise photographer to

get some images of case

study volunteers

By 30 April Get approval from volunteers

of photos and consider getting

one image framed and

sending as a thank-you to

each volunteer


Case study Video interview and edit By 30 April Get sign-off for video at start Video

Case study Get approval/sign-off from

volunteers for case studies

By 15 May Ensure written permission

obtained to use online and

offline for up to 3 years


Case study Edit as needed and publish to

website (written case study,

video, images and quotes)

By 31 May Note to remove in 3 years Social media

Case study Share case study #1 on social


By 30 June Add to content calendar and


Social media

Case study Build into 12 themes for one

a month

By 30 June Balance themes with the


Social media



Case study Posts about volunteers

making a difference and

organising a volunteer event

By 30 June Advise volunteers 3 days

before that they will feature

and ask them to share!

Social media

Events Run workshop to identify (a)

all key events and (b) how

to run successful events, (c)

what to avoid and (d) what

the charity could provide that

would be useful

By 31


Hold at lunchtime and invite




Area Action When Note Skills

Events Write up notes and extract

common themes. Turn into


By 30


Try to link the themes to the

organisation’s overall plan



Events Graphically improve the

checklists into attractive

documents to easily

download and print

By 31


As some will print the docs,

make sure they are not

blocked with colour that uses

all printer ink!


Events Add checklists to resources

area on website

By 30


Explore if these can be shared

in other online places

Web access

Table 10.4 shows the overall area, the specific action, the date by when this should

happen, any relevant background or other notes, as well as the skills needed. It may be

that the digital marketing assistant can use video editing or a good photographer. This

is why the job roles are not yet added as it is about skills, not roles. Plus there are no

costs added at this stage. People and finances are added when we consider resources.


After you have listed the tactics and created your plan you need to consider what

resources will be required to ensure it happens.

The foundations of resource planning are in manufacturing, where it was criti-

cal to ensure the right people were in the right place with the right machines and

materials, at the right time. This has led to a plethora of ‘M models’, from the 5Ms

of Efficiency (Manpower, Materials, Machines, Methods, Money) to the Six Sigma

techniques for improving processes (Method, Mother nature, Man, Measurement,

Machines, Materials).

I have adopted a blended approach, with 9Ms: Manpower, Money, Method, Mother

nature, Measurement, Machines, Materials, Management and Minutes, as shown in

Figure 10.1.

Digital Tool Online Freelance


There are many online freelance marketplaces where companies (buyers) request a service, from

writing a blog article to creating an infographic, or editing photos to developing social media profiles.

Individuals (sellers) can either bid for the work or create ‘all in one packages’ showcasing what

they could do for a fixed fee. Some of these marketplaces include:





Many students register with these sites to supplement their incomes whilst studying!



• People required to

deliver the work


• The available or

required budget


• Software or other



• Senior sponsor to

support the project


• The timeframe needed

to deliver the work


• The consistent KPIs or

metrics used


• Approaches being used

and if outsourcing is



• Computers or other

equipment needed

Mother nature

• Environmental factors

that may need to be


Figure 10.1 The 9Ms of resource planning

Depending on the company size you may not need all of the 9Ms, although it is always

sensible to utilise the first six as people are always required to deliver the work, a

budget is often needed and it is likely that in a digital marketing environment some

software or other materials such as written content, images or videos may be needed.

Regardless of company size it is essential to obtain a senior sponsor at a management

level to support the project, or the lack of support could lead to a project not starting,

being postponed or, worse still, failing. Timeframes help to explain the total time

required to deliver a piece of work and this can highlight if it would take too long

or if extra help may be needed.

Measurement is covered further in Chapter 13, Digital Marketing Metrics, Analytics

and Reporting, and the key at this stage is to ensure those involved in the project

have agreed consistent Key Performance Indicators (KPIs) or metrics.

A project will fail if you are measuring likes gained for a Facebook page and if I am

measuring sales income via Facebook. We are measuring different numbers and they

will never tally, so ensure that there is consistency from the start.

The final 3Ms, method, machines and mother nature, often occur in larger organisations.

Method is becoming more important as organisations use freelancers or online services

to deliver certain aspects of a project (see Digital Tool: Online freelance marketplaces).

When scoping a marketing plan, consider whether there are internal skills and, if not,

what additional help is required (see Ethical Insights: Human beings not algorithms).

Using online freelancers often means you can speed up processes to facilitate faster

delivery of some parts of a project. In larger organisations it can be easier to gain

permission to spend £1,000 or $1,000 on a service, than it can be to start a temporary

staff-hiring process.


Ethical Insights Human Beings Not Algorithms

There is a downside to online freelance marketplaces as their reward systems are neither managed

nor controlled.

One example is Amazon’s Mechanical Turk (named af ter an 18th-century chess-playing

machine, ‘The Turk’) which recruits workers to complete tasks from requesters. The tasks require

human intelligence, which means they cannot be done in any other way. Typical projects require

people to categorise items, select correct spellings and find item numbers. The dark side is that

the fee for the work often starts at less than one US cent per item. So if you need to categorise

the Twitter comments from one hundred or one thousand tweets, you could earn 10 cents or

even one dollar!

A campaign against low pay and poor treatment on Amazon Turk was started, named human

beings not algorithms, where Kristy Milland, a ‘turker’ (as workers call themselves), contacted Jeff

Bezos to explain that she had completed more than 830,000 tasks on Mechanical Turk, earning

an average of 20 cents for each and was unhappy with the treatment received (Milland, 2015).

But Amazon’s Mechanical Turk is still alive and well – and used frequently by researchers!


In a digital environment machines are coming to the fore. When the M models were

developed in manufacturing, machinery concerned the tools need to deliver the work.

Applied in a digital environment, this might include desktop or laptop computers,

tablets or additional mobile phones to monitor social media channels out of hours.

Planning for these resources in advance is a good idea as, again, gaining budgetary

approval in bigger organisations can take weeks (or months).

Mother nature is a well-considered factor in manufacturing. You may be planning to

develop a new software project in, say, San Francisco, where Facebook and Twitter

have their headquarters buildings, yet it is also well known for major power failures.

Activity 10.2 Assess the Resources

for Your Plan

Using the 9Ms of resource planning as shown in Figure 10.1 as a framework, start to assess the

requirements for your plan. You need to evaluate factors such as:

1. Are extra people needed to deliver the work? Could existing staff be trained? Could the work

be outsourced?

2. What is the overall budget available?



3. Consider materials, especially for digital marketing (see Chapter 4, Content Marketing) as

you might need copywriting, video production and more.

4. Identify the project sponsor in management and the timescale, which may be 3, 6, 9 or 12


5. What are the agreed measurements?

6. Is method a factor or can all work be delivered in-house?

7. Are additional machines needed (e.g. do the design team need new Macs?) and is mother

nature a factor or not?

8. Add a summary line for each and build a larger commentary to explain and justify your


See Template online: Resources for your plan


Smartphone Sixty Seconds® –

Searching for the Downside

1. Use your mobile phone and search for terms like those shown here and see what stories you

can discover:

• Downside of Mechanical Turk

• Don’t use Mechanical Turk

• Mechanical Turk problems

2. Are the stories recent, up-to-date or from a few years ago?

3. Does Amazon’s Mechanical Turk respond?

4. If you were working there, how would you manage negative stories about your business online?


Once the tactics and resources are all listed you might need to prepare a budget. If

you are working on a placement this may be for the senior management team, or if

you are on a community project, your colleagues may need to be involved.


Traditionally budgets were organised based on specific settings, such as:

• Budget needed to meet objectives


• Budget available

• Percentage of turnover

• Last year’s budget.

Budget needed to meet objectives

When the objectives have been formulated and the tactics listed, you allocate the

required funds to complete all activities. This method is also known as the ‘objective

and task’ budget.

Budget available

More often than not this applies to smaller organisations and is about the possible

available budget. Over the years I have received emails from students working on place-

ment who are on very small budgets. This means you need to become more creative!

Percentage of turnover

Typically used in services businesses, the percentage of turnover ranges from 2% to

20% but very much depends on the business. Financial institutions often work on

10% of turnover.

Last year’s budget

This method is more usual in larger organisations where a budget has been allocated

to different departments and you are given last year’s budget plus 5%. The downside

with this method is that departments are encouraged to spend the entire budget, even

if not needed, just to gain the same amount the following year.


In digital marketing there is greater flexibility as online advertising is auction-based

and so depends on the search terms being used, the volume of searches and com-

petition for the words. As an example, if you bid for a phrase like ‘online postcard


In a digital environment we consider cost per acquisition – what does it cost to acquire a new

customer? Acquisition can be acquiring data (email address), a donation or a sale.

As an example, if my average sale is £100 on a product that costs £25 to produce, my

profit margin is 75%. If my target profit margin is 50–70% I could afford to spend £5 to £50 in

acquiring the customer.

However, if it is an expensive keyword that costs £100, I would never make a profit and this

wouldn’t work. I therefore need to understand and factor in the acquisition cost from the start.


printing’ this may cost £10 per click. But if you bid for ‘e postcard maker’ this may

cost 10p. This means smaller businesses can more easily compete, as long as they are

creative. Newer budgeting models have been introduced, such as cost per acquisition.


Having identified the actions, evaluated the resources and agreed the budget, you

are now ready to assemble the final plan.


When building your digital marketing plan you will have considered promotion (see

Chapter 3, The Digital Marketing Toolbox) and you may need to create individual

campaign plans. This section looks at social media campaigns; if you want to organise

other campaigns see Discover More on Advertising and Promotion.



For in-depth coverage of online campaigns. read the latest edition of Advertising and Promotion

by Chris Hackley and Rungpaka Amy Hackley (4th edn, 2017).

To create social media campaigns you will need to adopt a campaign planning pro-

cess, and a blueprint for this is shown in Figure 10.2.







Creative offer

and messaging

Timing and


Media planning

and selection

Budgeting Pre-testing Post-testing

Figure 10.2 Social media campaign planning process


Objective setting

Whilst you will have agreed objectives for the digital marketing plan, you will also

have campaign objectives. Think of campaign objectives as a subset of your main

objectives, one at a time, as shown in Figure 10.3.


Objective 1


objective A


objective B

Objective 2


objective C


objective D

Figure 10.3 Framework for digital marketing campaign objectives

Let’s apply the framework where the strategy is the social media framework, focused

on conversion. The segment is students living away from home in the UK aged 18–22

with no cooking skills, moderately health conscious, mobile and laptop device users

for at least 5 hours a day

Objective 1: To gain a 10% increase in online sales in November

• Campaign objective A: To target UK students aged 18–22, living away from

home, via Facebook, in November, offering evening delivery

• Campaign objective B: To re-target web visitors using Instagram, during October

and November, with a 10% student discount offer

Objective 2: To increase adoption of the mobile app by 25% from September

to December

• Campaign objective C: To target UK students aged 18–22, living away from

home, via Facebook, in November, offering free app with calorie counter

• Campaign objective D: To re-target web visitors across the Google network,

from September to December, with the app details

The granulation or development of the details in the specific campaign objectives

makes it easier to construct the creative offer and messaging, which follows later

in this chapter.

The difference between the digital marketing plan objectives and the campaign

objectives is the detail. Campaign objectives focus on a platform and a specific

activity – such as re-targeting.


Targeting strategy

Once the objectives have been set, you will check that the targeting strategy, which

is identified in the main digital marketing plan, is consistent. What you should not

do at this stage is to introduce a new target audience.

Ideally you look back at your personas and integrate this at the campaign level too.

For example, if your target audience is fashion conscious 16–24-year olds, the cam-

paign targeting strategy should select specific age groups or genders in this target

audience. You might not select everyone as one group and may decide to target a

narrower audience, such as girls aged 16–18 years.

It is also possible that you may re-target those who have already visited your website

to encourage them to move from consideration to conversion.

Channel selection

With many social media networks available, channel selection can be a challenge!

The key is focusing on the social media networks used by the target audience or

personas. This is another reason why, when developing personas, you consider the

webographics (see Chapter 4, Content Marketing). If the webographics are not strong

or detailed enough, you need to go back and add greater depth and information.

Thinking about potential channels for the target examples in this section:

• Students living away from home might use Facebook to stay in touch with parents

• Fashion-conscious 16–24-year-olds might use Instagram to see the latest edits

The critical factor is ensuring you have research to back up and support your claims.

Creative offer and messaging

The objectives and targeting have been agreed and the next stage is building the

creative offer. However, the creative offer can be more challenging in a digital environ-

ment. Think about the size of an ad on Facebook – it’s tiny! So somehow you need to

communicate a specific message that appeals to the target audience in microseconds.

That’s a lot of work.


The idea of an advertising appeal is explained well by Pragya Keshari and Sangeeta Jain,

writing in the Journal of Marketing & Communication:

Advertising appeal refers to the approach used to attract the attention of consumers

and/or to influence their feelings toward the product, service, or cause. These appeals

are normally categorized as emotional and rational, and are used interchangeably

as mood/logical or transformational/informational in different contexts. (Keshari and

Jain, 2014, p. 37)


Advertising appeals (see Key Term) are either emotional, trying to elicit an emotion,

whether positive or negative, or rational, trying to connect with a practical or utilitarian

need, and are the foundation for the advertising message (Grigaliunaite and Pileliene, 2016).

Many consumer behaviour experts have explored examples of rational (effectiveness,

convenience, price, safety) and emotional (exclusivity, adventure, beauty, relaxation)

appeals (see Discover More on Consumer Behaviour). The key is that a single appeal

is used in an advert, aimed at a specific target audience, so that there is instant

understanding and no confusion.



Two books on consumer behaviour provide much more detail on appeals and consequences:

• Consumer Behaviour: Applications in Marketing, by Robert East, Jaywant Singh, Malcolm

Wright and Marc Vanhuele (2016).

• Consumer Behaviour, 3rd edition by Zubin Sethna and Jim Blythe (2016).

Smartphone Sixty Seconds® –

Finding Appeals

• Use your mobile phone and log in to a social network. What adverts can you see?

• Take one advert and identify the advertising appeal. Is it emotional or rational?

• Compare with classmates: do they see the same or different messages?

Activity 10.3 Propose the Creative

Offer and Messaging

Propose the creative offer and messaging for either:

• Campaign objective A: To target UK students aged 18–22, living away from home, via Face-

book, in November, offering evening delivery; or

• A campaign related to an organisation of your choice.

See Template online: Creative offer and messaging


Earlier in the chapter I gave examples of campaign objectives and one of these was:

• Campaign objective A: To target UK students aged 18–22, living away from

home, via Facebook, in November, offering evening delivery.

The nominated channel in this example is Facebook and it is a small advert. I have

limited space in terms of headlines and copy to create my offer.

Timing and integration

Social media and PPC adverts allow you to plan the exact timing of when you want

to launch the adverts. For example, Facebook allows you to schedule adverts (if the

‘lifetime budget’ option is selected) for specific days at specific times. This means

you can run adverts that are integrated with an overall message. For example, if your

campaign objective is to target UK students aged 18–22, living away from home, via

Facebook, in November, offering evening delivery, you may run the adverts between

4pm and 9pm, when the target audience is thinking about food!

Timing is one aspect and the important factor is to ensure that the whole campaign

is integrated or joined up with other marketing promotional activities.

If a campaign lacks integration, the customer will become confused. Imagine look-

ing at a photo on Instagram, clicking through to the website, but landing on a page

that doesn’t make sense – this is cognitive dissonance (see Key Term) and usually

results in customers abandoning pages.

Another aspect of timing is ensuring that you don’t run different promotions at the

same time. If you plan a 10% off and a 15% off campaign simultaneously, the 10% is

less likely to work and the advertising budget will be wasted.


Leon Festinger, a social psychologist, developed cognitive dissonance theory (Festinger and

Carlsmith, 1959), which explained that individuals could have conflicting attitudes, beliefs or

behaviour, leading to discomfort.

Inconsistency in beliefs leads to dissonance or discomfort – for example, you may believe

that smoking is dangerous but you are at a party and meet someone interesting, who is

smoking, and instead of complaining about the smoke, you stand next to them, potentially

inhaling. Your belief that smoking is bad is inconsistent with your action (putting up with the

smoke) and results in a change of belief or behaviour.

Festinger described this as ‘opinion change following forced compliance’ (Festinger and

Carlsmith, 1959, p. 203).

Media planning and selection

Having agreed four campaign objectives, as in the worked example in Figure 10.3,

we can apply these to the overall media plan.


To enhance the adverts we need to ensure that the website is up to date and contains

relevant information and we may also write some new blog articles that focus on the

challenges of being a student and cooking when away from home.

Table 10.5 shows a digital media plan example that explains the type of content that

will be placed and where. This would typically be supported with a commentary to

provide more details.

Table 10.5 Digital media plan example

Communication channel





News about

food Ad campaign

Website   

Blog   

Twitter   

Facebook   

Instagram   

Google adverts 


In section 10.5 we considered different budgeting options and in Chapter 3, The

Digital Marketing Toolbox, I explained the different search engine advertising

payment options. You might experiment with a small budget initially and monitor

the results. As you gain the evidence, results and confidence, you can increase

the budget.


Before running the ads you might test different variables to see what works. These

may include:

• Images – which images are preferred by the audience?

• Headlines – which headlines provide greater advertising appeals?

• Body copy – which content provides greater advertising appeals?

• Landing page – when the target audience clicks on the link and is directed to

your website or a specific page, are there some pages that work more successfully

than others?

Ideally test one variable at a time to gain a better understanding of what works. In

many social media platforms you can run several different adverts at the same time

and gain feedback as to what worked.

Testing in a social media environment is fairly straightforward. Set a small budget,

run the adverts for a week and gather the feedback. This is also known as a ‘test

and learn’ strategy.



Sometimes referred to as tracking, post-testing is measuring results after the adverts

have run. In digital advertising this can take place quickly, literally in 24 hours. This

will provide data on which were the most successful ads and why. You can repeat

the ad format to re-test in case this was an exception!


Once the tactics and resources are all listed and the budget has been submitted, you might

need to reduce the costs or re-allocate priorities. One framework for assigning elements

such as manpower, money, methods, machines, materials and minutes is the impact and

effort matrix (Gray, 2010), which is shown in Figure 10.4. The matrix is ideally completed

in a small team and creator Dave Gray suggests that this takes 30 minutes to one hour.





Quick wins


Major projects


Fill ins


Thankless tasks



Low High



Figure 10.4 Impact and effort matrix

Source: Gray, 2010

And a plan should be reviewed! In Chapter 14, Integrating, Improving and Transforming

Digital Marketing, we will consider how this happens, so you can stay ahead.


1. Think about your own skills – can you write, code or edit video? Visit one of

the online marketplaces and, based on other people’s listings, create your own

profile and find out who in class gains an assignment first!


2. Organise a social media campaign for your university’s marketing degree. First

evaluate the different social media channels, based on the target audience, and

recommend one channel to use in this campaign. Develop outline visuals and

copy that could be used on this channel.

3. Create a digital marketing plan for an organisation of your choice, that embraces

all aspects of the customer journey (see also Chapter 2, The Digital Consumer).


This chapter has explored:

• How to apply the 7Ps in a digital context.

• The 9Ms of resource planning, which illustrated that it is much more than a

budget and people.

• How to assemble a digital marketing plan.

• Social media campaign planning from setting objectives to developing the crea-

tive offer and messaging.

• The impact and effort matrix to ensure that the focus is on the areas where you

will gain results, rather than the areas that will have little impact on the business.





When you have read this chapter, you will be able to:

Understand the different types and functions of social media

Apply the purpose of social media within organisations

Analyse social media adoption

Evaluate the issues in managing social media within an organisation

Create a plan to manage social media within an organisation


When you have worked through this chapter, you should be able to:

• Create an outline social media policy

• Use a social media scheduling tool

• Create a social media strategy



There are many types of social media and this chapter will make you more aware of

the concepts around social media management at a personal and work level, so that

you can better manage all aspects of social media.

Critical factors in social media management are explored with information on the

different types of tools available for monitoring a brand online and key issues to

consider when managing organisations in an online environment.


Social Media Networks (SMNs) started in 1996 with a platform called SixDegrees that

later closed due to lack of interest at the time (boyd and Ellison, 2007). One of the

reasons for the lack of interest is likely to be due to internet speed as most people

with internet access around that time had dial-up internet connections (you had to

click a switch to gain internet access) and the speeds ranged from 28.8 kbs to 56 kbs.

Today if you have 4G you could have speeds of 40,000 kbs (that’s 40 Mbs)! Imagine

trying to send a photo with a speed of 28.8 kbs; it would simply never happen.

Today the most dominant current social media network in the United States and

Europe is recognised as Facebook, launched in 2004 and now with over one billion

active users. You may think that Facebook is in decline, but its numbers tell a differ-

ent story. Each quarter, more users have joined the platform.

What has changed is that the social media networks started as a means to connect

people but today they are big advertising companies and publishers. Table 11.1 shows

the main social media platforms, when they were established, the worldwide monthly

users, their current owners and their revenue model.

Table 11.1 Overview of main social media platforms

Platform Established

Approximate worldwide

monthly users Owners Revenue model

LinkedIn 2002 530 million Shareholders via

Microsoft (NASDAQ)




Facebook 2004 1.8 billion Shareholders (NASDAQ) Advertising

YouTube 2005 1 billion Shareholders via Google/

Alphabet Inc (NASDAQ)


Twitter 2006 330 million Shareholders (NYSE) Advertising

WhatsApp 2009 Not published Facebook Not monetised at


Instagram 2010 600 million Shareholders via

Facebook (NASDAQ)

Advertising via

Facebook ads platform

Pinterest 2010 200 million Privately owned Advertising

Snapchat 2011 300 million Shareholders (NYSE) Advertising

Sources: LinkedIn











Looking at the main social media platforms in Table 11.1, the first of these mega social

media networks to be founded, LinkedIn, is a business to business, rather than busi-

ness to consumer, social media platform that has been described as a corporate social

networking tool. In researching how the multinational corporation IBM uses social

networking, Ann Majchrzak, Luba Cherbakov and Blake Ives (2009, p. 103) defined

corporate social networking as: ‘the use of technology to help employees identify,

in the interest of furthering the business of the firm: 1. Who knows what; 2. Who is

interested in what; and 3. Who wants to contribute to what.’

LinkedIn was purchased by Microsoft and is likely to be embedded into the IT com-

pany’s ecosystem. It is notable that LinkedIn has a mixed revenue model, earning

most income from recruitment solutions, not promotional advertising, unlike the

other platforms. As a business to business system, it also generates an income via

membership packages, enabling members to access different levels of network data.

Facebook has over one billion monthly active users and its core value proposition

to advertisers is access to its user base, which is larger than most countries, except

China and India. You might question the numbers, but as a stock exchange listed

corporation, Facebook is subject to external scrutiny and to monitor the numbers of

claimed users it created a measurement system, named ‘Monthly Active Users’ (MAUs)

and ‘Daily Active Users’ (DAUs), which has inspired other social media platforms to

adopt the same terminology.

YouTube has also claimed over 1 billion monthly viewers, although there is no

documented evidence for this. Twitter, established one year after YouTube, has

smaller user numbers, at over 300 million. Like Facebook, it is listed on the stock

exchange and has shareholders controlling its destiny, with its income currently

derived from advertising. WhatsApp, owned by Facebook, does not yet offer an

advertising option although I am sure this will change. Also, Facebook doesn’t

report WhatsApp stats yet.

Instagram is the next largest social media platform, with over 600 million monthly

active users. As an image-sharing social network it is popular within the fash-

ion, tourism and food sectors. Not everyone is aware, but Instagram is owned by

Facebook which means that it is subject to the equivalent legal guidelines about

user numbers.


With an estimated 150 million users, the smallest platform shown in Table 11.1 is

Pinterest. A niche social media platform, it is said to be popular with early adopters.

When Pinterest started, it was invitation-only. If you received an invite you could

welcome 10 other people into the network. I remember gaining an invite and having

the equivalent of 10 golden tickets to share amongst friends and co-workers. Everyone

wanted to join. We devised a system so that I shared eight tickets and those eight shared

amongst another eight – we could keep two tickets in reserve, for ‘just in case’ situations.

Although Pinterest is the smallest platform in this table, its user base is still larger

than every country in Europe. Snapchat has started to share its audience numbers

as it launched on the New York Stock Exchange. We will watch this space for more

in the future.


There are many definitions of social media that were valid for their time, such as

Hoffman and Novak’s (1996) definition: ‘a dynamic distributed network, potentially

global in scope, together with associated hardware and software for accessing the

network, which enables consumers and firms to (1) provide and interactively access

hypermedia content (i.e., “machine interactivity”) and (2) communicate through the

medium (i.e., “person interactivity”)’. Kaplan and Haenlein (2010) suggested that

‘social media is a group of Internet-based applications that build on the ideological

and technological foundations of Web 2.0, and that allow the creation and exchange

of User-Generated Content.’

In this fast-moving environment these definitions are soon out of date and naming

specific activities may account for emerging developments. Plus the majority of defi-

nitions are not memorable. It is difficult to adopt and embrace a definition if it is not

straightforward to recall.

My alternative and concise working definition of social media (not social media net-

works) which is future-proofed and includes all possible connections is:

Social media is the facilitation of interactive, connected, marketing purposes at

organisational, peer-to-peer and personal levels.

It’s easy to remember and demonstrates that social media is more than a communica-

tions channel, helping both consumers and organisations in many ways.


Having considered the dynamics of major platforms, it is helpful to consider the types

or classification of social media because different social media brands have different

purposes, which impacts on the digital marketing plan.

There have been efforts to classify social media networks by both practitioners and

academics. The Interactive Advertising Bureau (IAB) considered types of social media

in 2009, so that they could illustrate advertising opportunities (Interactive Advertising

Bureau, 2009). The IAB provided three basic categories of social media tools:


• Social media sites

• Blogs

• Widgets and social media applications

Focusing on the format, rather than the function, this was a simplistic classification

model that failed to describe the purpose or usage. As one of the earliest classifica-

tions, created in 2009 when revenue for internet advertising in the United States

amounted to $22.7 billion (PricewaterhouseCoopers, 2010), which had more than

doubled to $59.6 billion by 2015 (PricewaterhouseCoopers, 2016), this started the

notion of categorising social media.

An alternative approach was taken by researchers Andreas Kaplan and Michael

Haenlein, who described social media using theory (Kaplan and Haenlein,

2010). Kaplan and Haenlein took four recognised theories: (1) self-presentation;

(2) social presence; (3) media richness; and (4) self-disclosure. We looked at

self-presentation and self-disclosure theories in Chapter 5, Online Communities,

so let’s investigate these other theories further as they are often used in social

media research.


Social presence theory was first defined by John Short, Ederyn Williams and Bruce

Christie as the ‘degree of salience of the other person in the interaction and the

consequent salience of the interpersonal relationships’ (Short et al., 1976, p. 65).

Charlotte Gunawardena subsequently provided an easier to digest definition: ‘the

degree to which a person is perceived as a “real person” in mediated communication’

(Gunawardena, 1995, p. 151).

Social presence is influenced by the intimacy (interpersonal or mediated through a

device) and immediacy (asynchronous or synchronous) of the medium. Social pres-

ence is often lower for mediated (e.g. telephone conversation) than interpersonal (e.g.

face-to-face discussion) and for asynchronous (e.g. email) than synchronous (e.g. live

chat) communications. Effectively, if you are speaking to someone face-to-face it’s a

different experience to chatting online. So in a nutshell, the higher the social pres-

ence, the larger the social influence that the communication partners have on each

other’s behaviour.



There is a useful article by Guoqiang Cui, Barbara Lockee and Cuiqing Meng in the Journal of

Education and Information Technologies: ‘Building modern online social presence: A review of

social presence theory and its instructional design implications for future trends’ (Cui et al., 2013).



Writing in Management Science, Richard Daft and Robert Lengel examined why

organisations processed information and concluded that this was based on the

assumption that the goal of any communication is the resolution of ambiguity and

the reduction of uncertainty (Daft and Lengel, 1986).

You could think of an email from your tutor with your end of first-year grades, con-

firming that you have progressed. The purpose of the email is to let you know where

you are and ensure you are prepared for your next year. It reduces any ambiguity and

uncertainty, especially if some grades were lower than expected!

Considering that their work was created over three decades ago, Daft and Lengel

(1986, p. 560) classified ‘less rich’ to ‘rich media’, with face-to-face being most rich

and numerical documents less rich, as shown in Figure 11.1. However, if we consider

email as being on the same level as item (3) personal documents, it may be better

for the tutor to pick up the telephone and speak to you instead, especially if some

grades were disappointing!

(1) Face-to-face

(2) Telephone

(3) Personal

documents such

as letters or


(4) Impersonal



(5) Numeric


Figure 11.1 Increasing levels of media richness

Source: Adapted from Daft and Lengel, 1986

From studies into media richness we know that the richer the medium, the more

effective it is. This explains the effectiveness of social media sites that contain richer

information, from text to images and from emoticons to live video.

Having considered these different and also similar theories, to categorise social media

Kaplan and Haenlein first blended social presence and media richness and secondly


self-presentation and self-disclosure, on their classification axes. Let’s investigate

the classification further, but first we should look at the visual representation in

Figure 11.2 that they created.

Figure 11.2 Classification of social media by social presence/media richness and self-


Source: Kaplan and Haenlein, 2010, p. 62

Social presence/Media richness

Low Medium High





High Blogs Social networking

sites (e.g. Facebook)

Virtual social worlds

(e.g. Second Life)

Low Collaborative

projects (e.g.



communities (e.g.


Virtual game worlds

(e.g. World of


Online content like Wikipedia is seen as low/low – low on media richness and

presence and low on self-disclosure – after all, you never know the identity of the

authors of the page and whether the content is accurate! At the other extreme, par-

ticipating in a virtual world provides high levels of media richness and high levels

of self-presentation.

Having provided this classification, as Kaplan and Haenlein noted at the time

(p. 61), ‘there is no systematic way in which different Social Media applications can

be categorized. Also, new sites appear in cyberspace every day, so it is important that

any classification scheme takes into account applications which may be forthcoming.’

Young Argyris and Kafui Monu researched the corporate use of social media

(Argyris and Monu, 2015). They focused on four types of tools based on a survey

via the Harvard Business Review which identified the instruments ‘most com-

monly used for external communications’ (p. 141). Within the four social media

tools, shown in Table 11.2, they concentrated on ‘backbone’ features (p. 149) and,

similar to Kaplan and Haenlein, they noted that this is a fast-changing environ-

ment and commented, ‘listing all existing features of the four tools is not feasible

or necessary because many tools are being constantly adapted and upgraded as

the technology advances’.

Table 11.2 Prominent features of the four social media tools

Social media tools Features

Wikis Editable forum, search, multimedia support, web content management

system, information structuring (hierarchy) and tagging.

Social networking sites Profile, newsfeed, feedback, friend list, personal message, group and


Microblogging sites Short message (tweet), metadata tag (hashtag), short-message

sharing (retweet), follower list (contact list), and reply

Video-sharing sites Video content, related video, comment, viewer counter and ratings

Source: Argyris and Monu, 2015, p. 149



Having considered the types of social media, the next question is how can they be

used for organisations?

Students tend to know how to use social media at a personal level and are often hired

on the expectation that this knowledge will translate into the workplace and you will

understand how to manage social media for a range of organisations. Let’s examine

how social media can be used at work.

There are benefits from using social media at a personal level, as well as

for organisations.

Benefits for consumers in brand engagement via social media include:

• Entertainment – to have fun

• Social interaction – to connect with others

• Information – to gain information

• Personal identity/status – to build online identity and recognised status

• Communication – to communicate with brands

• Community development – to be part of a community

• Remuneration/discounts – to gain offers and special deals

• Purchase – to shop

• Reviews and product rankings – to provide reviews

• Submit opinion on products/services – to share opinions

• Customer service – to seek customer service

Benefits for organisations include:

• To entertain

• To interact

• To provide information

• To gain brand recognition

• To communicate

• To develop an online community

• To provide offers

• To sell

• To gain product reviews

• To elicit feedback

• To deliver customer service

Looking into the business benefits of social media in more detail, Vilma Vuori and

Jari Jussila (2016) in Finland developed a framework for a social media strategy

which they called the 5C categorisation tool. The five categories are (a) communicat-

ing: publishing and sharing content; (ii) collaborating: collective content creation;


(iii) connecting: networking people; (iv) completing: adding, describing and

filtering; and (v) combining: mixing and matching. Their summary, shown in

Table 11.3, explained the purpose of each tool, with examples of the type of tool

and possible applications.

Table 11.3 Summary of the 5C categorisation

5C categories Purpose Tools Application examples


publishing and

sharing content

Publishing, discussing,

expressing oneself, showing

opinion, sharing, influencing,


Blogs, media

sharing systems,

discussion forums,

microblogging, instant


Blogger, WordPress, Flickr,

YouTube, Periscope, Reddit,

Instagram, Twitter, Tumblr,

SlideShare, Prezi


collective content


Creating content together,

collaborating, produsage

Wikis, shared


Wikipedia, TWiki, GoogleDocs,

MatchWare, Trello, FlowDock


networking people

Socialising, networking,

connecting, playing,


Social networks,

communities, virtual


Facebook, LinkedIn,

SecondLife, World of Warcraft,

Habbo Hotel, Pokémon GO


adding, describing

and filtering

Adding metadata, describing

content, subscribing updates,

combining, rating, serendipity

Tagging, social


syndications, add-ons

Feedly, Flipboard, Pinterest,

Foodgawker, StumbleUpon,


Combining: mixing

and matching

Combining other tools and

technologies according to

situation and needs

Mash-ups, platforms GoogleMaps, Hootsuite

Source: Adapted from Vuori and Jussila, 2016

The 5Cs is a useful way to help decide which tools are more relevant for organisa-

tions. It may be that an organisation you work at simply wants to communicate, so

they may not need all the other platforms available.


Professor Axel Bruns from Queensland University of Technology in Australia coined the term

‘produsage’ in 2006. He defined produsage as ‘the collaborative, iterative, and user-led produc-

tion of content by participants in a hybrid user–producer, or produser role’ (Bruns, 2006, p. 276).

Activity 11.1 Application of the 5Cs

Think about an organisation of your choice. Use Table 11.3 as a framework and apply the 5Cs to

the organisation. Investigate which applications they use and identify the purpose. Consider which

categories work well and where they could improve.

See Template online: Application of the 5Cs




Using social media within organisations varies enormously. It depends on the senior

management team and their understanding, as well as their commitment to purpose-

fully use the platforms, rather than jumping on the proverbial bandwagon where you

hear the words ‘we need Instagram because our competitors are using it’, which is

hardly a strategy, but it’s scarily commonplace.

Social media adoption and implementation is a journey. It often starts with some

form of experiment and registration with one platform, say Twitter or Facebook. Then

there is some understanding of how the platform works and the benefit to business

and this is followed with a greater adoption and focus.

So how we do measure or pinpoint where an organisation is in terms of its social media

journey? Two researchers based in Ireland, Aidan Duane and Philip O’Reilly, developed

a stage model of social media adoption, showing the five stages that businesses step

through until social media is fully integrated into the organisation. This is a strategic

model and identifies the organisation’s focus as well as the structure – if any – and the

management involvement. Shown in Figure 11.3, it is a useful tool to assess organisa-

tions’ social media presence and to review their competitors. It provides a benchmark

with a clear map of the next stage in the journey. If you are seeking a job interview

with an organisation or working on a placement you could identify their current stage

and recommend a digital marketing plan to increase social media adoption!

Stage Strategy Focus Structure Management

1. Experimentation

and Learning

It is experimental

with every

department doing

their own thing

Announcing launch

of SMBP, posting a

number of comments,

images and videos,

and providing some



Individual or

departmental drive

None or

very little


2. Rapid Growth It is coordinated

across all

departments by

management, and

a number of goals

and objectives

have been



focus. Efforts

aimed at increasing

internal and external

awareness. Customers

are encouraged to

connect, follow, like,

recommend, and

comment on products

and its service


widespread user


coupled with top-

down management

Support and


3. Formalisation It is formalised

and controlled

across the

company, with a

strategy aligned

with the business

plan. Staff adhere

to an established

set of rules

Planning, strategy,

governance and

alignment with overall

business strategy

A more centralised,


model to coordinate


Controlled by




Stage Strategy Focus Structure Management

4. Consolidation

and Integration

It is very well

integrated with

key business

processes across

the company,

and it is driving

a fundamental

change in how we

do business

Optimisation of

processes and creating

scale. Fundamental

business change.

Pursue alignment with

external partners/

suppliers. Co-


crowdsourcing emerge

Extension of

corporate model to

integrate external

partners, suppliers,



experts, etc. Micro-

outsourcing of

activities may also


Shared by



5. Institutional


It is embedded

into the core of

what we do, and

how we do it,

from customers

to suppliers, from

internal partners

to external


De facto application

for key business tasks.

Enterprise-wide social

media technologies for

the entire workforce

Generate new/

reengineer existing

business models

Aimed at customers,


and partners,

as business

connectivity is


to establish

wider business


Shared by


staff or


Figure 11.3 Stage model of social media adoption

Source: Duane and O’Reilly, 2016, p. 82

Figure 11.3 (Continued)

Activity 11.2 Investigation of the Social

Media Adoption Stage Model

1. Select an organisation of your choice.

2. Investigate their online social media presence. Based on the stage model of social media

adoption shown in Figure 11.3, analyse whether this is experimental, coordinated, formalised

or fully integrated.

3. Make an appraisal, based on some research and select a stage and provide evidence or

examples to support your claims.

4. Compare with classmates to see if different people have identified organisations at different stages.

See Template online: Stage model of social media adoption


Having agreed which types of social media applications might be used and where

the organisation is in its journey, the next step is managing social media, but where

should you start?

Writing about the needs of financial institutions, researchers Jeffrey Loop and

Alexander Malyshev identified five requirements for managing social media (Loop

and Malyshev, 2013), which could be applied to a range of organisation types:


1. Risk management programme

2. Governance structure with clear roles and responsibilities

3. Policies and procedures regarding use and monitoring

4. Employee training programme

5. Due diligence process for selecting and managing third-party service providers

Other researchers have considered factors in managing social media too. Moving

from requirements to roles in examining strategic responsibilities in social media

management, public relations experts Marlene Neill and Mia Moody (2015) identified

nine job roles with responsibilities for social media:

• Policy Maker: Developing policies for employee use of social media

• Technology Tester: Choosing new social media channels and software

• Communications Organizer: Creating and distributing messaging, scheduling

posts, and monitoring conversations and sentiment

• Issues Manager: Identifying potential crises through monitoring of social media

channels and developing protocols for responding to negative comments

• Relationship Analyzer: Identifying and engaging with influencers such as the


• Master of Metrics: Choosing appropriate metrics for social media channels and

reporting results, may involve budgeting and selecting external services

• Employee Recruiter: Portraying their company/organisation as an attractive place

to work, using social media to recruit new employees, screening job applicants’

social media profiles, and using social media to recruit candidates

• Policing: Educating employees about the social media policies, putting controls

in place and notifying employees of inappropriate conduct; controlling number

of social media accounts on various channels

• Internal Collaborator: Working with other internal departments to manage social

media channels

What’s interesting is that several of their themes cross over with those identified by

Jeffrey Loop and Alexander Malyshev.

Let’s explore each of Loop and Malyshev’s five recommendations, combined with the

work of Neill and Moody, to understand why they matter and how this could work

in practice.


Similar to a crisis PR plan, a risk management programme would identify potential

risks and recommend mitigation should these occur. It is important to be prepared

for unexpected events, as in social media bad news spreads fast. This is not just my

intuition (and possibly yours) but is also based on formal research. Computer scientists

Anna Fang and Zina Ben-Miled (2017) in the United States conducted a survey using


news about Brexit on Twitter to prove this. Their results indicated that bad news had

a higher re-tweet ratio, and was shared and spread further on Twitter.



The accepted definition for eWOM or electronic word of mouth was created in 2004 by Thorsten

Hennig-Thurau and his colleagues as:

any positive or negative statement made by potential, actual, or former customers about

a product or company, which is made available to a multitude of people and institutions

via the Internet. (Hennig-Thurau et al., 2004, p. 39)

Sharing news online is often referred to as eWOM (see Key Term) and will have a

positive, negative or neutral valence (see Key Term) or tone. Jacob Hornik and his

colleagues noted that other researchers suggested that negative information may

draw more attention due to the surprise factor and could also have greater impact

(Hornik et al., 2015). To address this, Marlene Neill and Mia Moody identified several

dedicated roles: ‘Issues Manager’, ‘Communications Organizer’, ‘Relationship Analyzer’

and ‘Employee Recruiter’, all of which manage social media content within organisa-

tions. These roles will become more popular as social media continues to grow. The

change will be that greater expertise will develop based on both the experience and

theory that’s being created.

Before launching an activity on social media, you may decide to evaluate the risk. See

Case Example 11.1 #AMA Ask Me Anything for an example of an evaluation.

Case Example 11.1 #AMA Ask

Me Anything Risk Evaluation

A long-established, smaller charity that collects and redistributes clothing was considering a change

in policy. The directors had embraced social media and were very enthusiastic about asking fans if

they would agree to this. The mechanism was through an #AMA session for one hour on Facebook

(see Key Term – Ask Me Anything #AMA in Chapter 8, Audit Frameworks).

The idea was that questions would be posed on Facebook and the fans or other respondents could

ask anything in the one hour allocated and the charity would need to respond.

With over 100,000 Facebook fans this was a brave aim and I asked if we could conduct a risk

evaluation before launching the event. It was agreed that we could evaluate the potential risk of

holding the event and we would present our findings back to the senior management team. The risk

evaluation summary is shown in Table 11.4.


Table 11.4 Risk evaluation for an #AMA event

Factor Issues

Agree specific aims for the session – what did we want

to achieve?

Clear aims agreed

Was the #AMA the only way to achieve the aims? Aims could be achieved outside Facebook, via

surveys or focus groups

Imagine every possible scenario that could happen,

list every ‘what if’ situation that could occur

What if we missed something big?

Create a response for all scenarios Again, what if we missed something big?

We need to consider the potential for trolls to invade

the session and take over. How would we respond?

We would need to recruit additional help and could

risk brand reputation

We should plan the response team who would be

involved in responding to comments

Small team, and although others could be brought in,

they would need training, which requires additional


We need to monitor several channels as this could spill

over from Facebook to Twitter and beyond

How many channels and how could we do this? We

could use a social media management system, but

there’s a time lag with many of these and they might

miss critical factors

As messages can be circulated for hours afterwards

(Laufer and Brassell-Cicchini, 2013), for how long would

we monitor the channels?

We might need to organise a shift system as some

people may join in the conversation much later at

night. Investment needed to manage this

Having evaluated the potential risks we recommended that the #AMA should not go ahead. The

risks were too great, the team too small and additional investment would be required. The senior

management team agreed. The decision was to explore the change in policy using other means, such

as focus groups or online surveys. These would be within a closed environment and less susceptible

to the external negative backlash that could occur.

Case Questions

• Was it a good decision not to go ahead with the #AMA?

• Are there any risks we should add to the evaluation that we missed?

• Can you think of a situation where an organisation has gone ahead with an event or activity

online and it went wrong?



Ensuring no laws are broken and everyone knows who is in charge is critical in any

aspect of business, so this is not a surprising addition. The challenge in social media

management is that often the senior management team don’t always understand social

media. To a certain extent the ‘Policy Maker’ role, defined by Neill and Moody (2015),

meets these requirements and the ‘Technology Tester’ role may also have a part to

play to ensure appropriate channels are selected from the start.



In psychology and marketing, valence means the strength of an emotion.

Usually considered on a binary scale such as positive or negative, attractive or repulsive,

it is often referred to as message valence and in research is often combined with message

frequency (volume).

Message valence is used during elections to measure positive and negative messages

about candidates. An example is an investigation into the role of valence in online reviews

by Nathalia Purnawirawan and her colleagues (Purnawirawan et al., 2015). Their research

found that the review valence had an impact in influencing attitudes – perhaps not altogether

surprising, but it demonstrates the importance of positive online reviews!


These articles consider valence in different settings.

• ‘Understanding branding in a digitally empowered world’ by Tulin Erdem and colleagues,

published in the International Journal of Research in Marketing (Erdem et al., 2015).

• ‘The role of emotions for the perceived usefulness in online customer reviews’ by Armin

Felbermayr and Alexandros Nanopoulos, published in the Journal of Interactive Marketing

(Felbermayr and Nanopoulos, 2016).

• ‘Social media and relationship development: The effect of valence and intimacy of posts’

by Amy Orben and Robin Dunbar, published in Computers in Human Behavior (Orben

and Dunbar, 2017).



Marlene Neill and Mia Moody see this requirement being managed within a policy

maker role and they suggested that this may involve staff from PR and human

resources along with legal teams. Whilst this is likely to be the case in larger organi-

sations, in smaller firms, this role and others may be given to one person.

The whole area of social media policy is a mess. Technically when you start work

and sign your employment terms and conditions, this will generally include a clause

about focusing on working at work (rather than messaging friends on WhatsApp

and sharing Snaps) and often there’s a sentence about ‘not bringing the firm into

disrepute’ – saying or doing something you shouldn’t. But, this is the issue: most

people don’t translate the idea of using social media as breaking the rules.


And it gets worse. On one hand organisations want you to engage with customers, on

the other they don’t want you spending time on social media. One example is shown

in Case Example 11.2, which looks at the National Health Service and social media.

The issue regarding social media and policy is that it is still in its infancy. Policies tend

to be created after legislation has been passed and there is still a lack of legal prec-

edents in this domain. In the United States Kimberly O’Connor and Gordon Schmidt

have written articles about staff being fired for comments on Facebook (Schmidt and

O’Connor, 2015) and also students being suspended for inappropriate use of personal

social media (O’Connor et al., 2016) (see Ethical Insights: Sacked for social media).

Ethical Insights Sacked for

Social Media

Be careful what you tweet and post! Twitter’s terms of service state ‘You should only provide Content

that you are comfortable sharing with others’ (Twitter, 2017, p. 9), yet many people have been sacked

for speaking badly about their workplace or co-workers on social media.

In 2017 a long-serving employee, Mrs Plant, published negative comments about her employer,

API Microelectronics Ltd, on Facebook. Several colleagues talked about the post and her employer

invited her to explain the comments. As they were not satisfied with the explanation, she was sacked

under the company’s policies. She was unhappy about this, feeling that it was unfair, so took her

case to court. The court found that she had been given sufficient advice by the company regarding

social media settings and she was in breach of the social media policy and therefore she lost her

case (and her job).

Her post is now forever public. It is available online via the UK’s Ministry of Justice website and

anyone searching for her name in the future will find the whole sorry story. Whilst the post doesn’t

seem too bad (I have seen much worse), it had a negative impact on the company and was shared

with colleagues who re-shared it amongst a wider group (Ministry of Justice, 2017).

There are many situations like this and they are growing on a worldwide basis. For more examples

read the article ‘Fired for Facebook: Using NLRB guidance to craft appropriate social media policies’

by Gordon Schmidt and Kimberly O’Connor (2015).

Smartphone Sixty Seconds® –

Seeking Tribunals

• On your mobile phone, search for Mrs E Plant v API Microelectronics Ltd: 3401454/2016

• You will find the employee tribunals page and can open the entire court transcript.

• In the employee tribunals page you can also search for ‘social media’ and filter by organisations –

select ‘Ministry of Justice’ as the filter.

• How many cases can you see?


However, the entire legislative system in the United States is different from European

and UK law, so until more legislation is in place and social media usage is fully under-

stood, the roles of the policy maker and policing will continue to be needed. One

short-term solution is a form of social media policy and if you are not sure where to

start with that, see Digital Tool: Social media policy maker.

Digital Tool Social Media Policy Maker

Creating a social media policy involves answering a few questions. Whilst it is not a substitute for a

properly prepared legal agreement, this blog article is a great starting place to understand what is

needed in a social media policy.

To use the tool, visit the website and look at the 12 questions. Work through each one to create

your outline policy!

• See


Many researchers recommend training in social media usage for several reasons:

• To inform about policy

• To educate about the influence of a message

• To understand the language and terminology within the policy

• To explain the impact on future careers.

The fascinating fact is that most training is aimed at employees. However, when big

mistakes happen online, they can be due to the senior management team! And it is

not just about the misuse of social media, it is also about poorly considered cam-

paigns that go wrong on social media. Marlene Neill and Mia Moody recommend an

‘internal collaborator’ role to manage this and it may be that if marketing and legal

had a conversation about possible campaigns, there would be fewer campaigns that

end up on Twitter as #fail stories!




As Jeffrey Loop and Alexander Malyshev were writing in a law journal, it is not

unusual that they included an element of due diligence or reasonable steps to avoid


committing an offence. Applied to digital marketing, we would probably consider this

some form of appraisal to verify security measures and understand how the system

worked as well as keeping data safe. The ‘technology tester’ role might be useful

here, as could the ‘master of metrics’ who may notice unusual activity and remove

potentially difficult situations before they developed.

The process could be as complex or simple as the organisation needed. We have

looked at issues concerning managing social media online; the next factor is about

customer data. To advertise on Facebook (or Instagram) you might share your customer

database. How do you know it will be secure with so many hacks taking place? If

the data is not secure there could be big fines ahead (see Key Term – General Data

Protection Regulation (GDPR), p. 19).

One example is a large supermarket in the United States, Target, who suffered a major

data breach when one of their service providers fell for a phishing email. The end

result was Target agreeing to pay out around $10,000 per customer whose personal

and financial details were hacked (Kluwer, 2015).

This indicates that it is not just staff that need training, but third-party suppliers too.



Having understood the issues in managing social media, the next question is how?

Whilst there are agreed job roles, social media is a 24/7 always-on environment so

how is it possible to monitor and manage all comments and stay up to date?

There is a plethora of tools to manage different aspects of social media, which I will

discuss in this section.


Social listening involves monitoring conversations about a brand or other organisation.

In a pre-digital era a conversation between a consumer and a company tended to be

a monologue (one-way conversation), which is classic communications theory. The

organisation broadcast its message to its audience and there was little opportunity to

respond. Imagine responding to an advert in a newspaper – much more effort than

commenting on an advert on Facebook! The one-way ‘conversation’ or monologue

was limited by the lack of technology. A comment was made, followed by a response.

Without technology, this could take days or weeks.

Over time, this moved towards a dialogue where, for example, if you emailed a com-

pany and gained a response, a two-way discussion started. This evolved and became

a trialogue where a three-way conversation could take place with different people

entering into the conversation or debate. For the first time, people could add com-

ments after content such as a blog post and others could contribute their feelings too.

The advent of web 2.0 changed the dynamic. A key change in technology enabled

individuals to comment and share opinions between each other, potentially men-

tioning the brand name but not speaking directly to the brand. These multi-way


communications are known as polylogal conversations or a polylogue. We could also

call this a totally messy conversation – a bit like being at a party where five people

are speaking at once to everyone!

Having seen that all these conversions are taking place at the same time, what are

the best ways to monitor what’s happening? You can monitor mentions of the brand

name or product types and you can analyse the valence using sentiment analysis

tools (see Key Term in Chapter 3).

Although sentiment analysis can be automated, the computing tools have a downside

as they are unable to detect sarcasm, humour and irony. Marketing researchers Ana

Isabel Canhoto and Yuvraj Padmanabhan (2015) conducted a comparative study of

automated versus manual analysis of social media conversations and their results show

flaws in many computing tools. This software is still at an early stage and improving,

but it is worth sampling some content manually, as a sanity check, if you conduct

this type of research.

You may wonder why you would bother monitoring the brand name. This is for

several reasons. Firstly, it allows you to provide customer service where it’s needed –

customers don’t always shout on your doorstep; they may be somewhere else, such

as in a forum or on a Facebook page. Secondly, you can identify potential influencers

and brand ambassadors who speak positively about the organisation. Thirdly, you

can provide advice where needed.

There are many sophisticated social media monitoring and management tools, as

shown in Table 11.5. It is worth noting that the creation of social media tools is one

of the fastest growing businesses in social media, and with fees from a few dollars a

month to hundreds of thousands of dollars a year, you can see why!

Table 11.5 Social media monitoring and management tools


monitoring Scheduling




and reporting


service Company Web address

X X X Agora Pulse

X Buffer

X Content Cloud




X CoSchedule

X X Crimson




X X X Edgar

X X Gorkana

X X Hootsuite

X X X Marketing

Cloud (was

Radian 6)







X Netvibes



monitoring Scheduling




and reporting


service Company Web address

X Social Bakers socialbakers.


X X X X X Orlo

X X X SparkCentral sparkcentral.


X X X X Spredfast

X X Sprinklr

X X Sysmos

These tools provide a range of functions from monitoring conversations and alert-

ing teams when a crisis may be starting, to joining up each aspect of the customer

journey to better attribute conversion actions.


Scheduling tools allow the user to schedule or plan in advance the content to be

issued. This means you can schedule a whole month’s worth of tweets in a single hour.

Where content is evergreen (see Chapter 4, Content Marketing, p. 109) and has no

sell-by date, it can be used at any time and is useful in this situation. Other times when

scheduling might be used is when an organisation is exhibiting at an event and they

provide a countdown, as well as reminders, to attend their booth or exhibition stand.

Activity 11.3 Use a Social Media

Scheduling Tool

Go to

• Select PLANS and FREE.

• Register for a free account and connect your Twitter account.

• Prepare and schedule some posts.

• Search for a subject of interest, add as a content stream and monitor for 10 days.


Content management tools are slightly more sophisticated than simple scheduling

tools and enable you to search for content streams, share content plans across teams

and manage when content is issued. If you are a fashion business, you may create a

content stream that follows London Fashion Week or Paris fashion houses. You can


see all the conversations in one place, as can your team. If you promote a hashtag for

an event, you can establish a content stream to monitor the hashtag use.

Digital Tool Hashtag Finder

If you are thinking about using a hashtag it is a good idea to see if it has already been used. These

free tools allow you to see if, when and where the hashtag has been used:




Management and reporting tools look at the amount of engagement (see Key Term)

your social media content attracts, as well as the positive and negative valence or

sentiment surrounding the brand, product or organisation.

Although these tools provide insights – which are also freely available via the social

media platforms – the difference is that these tools aggregate the data into one page

or report. If you were to get a job as a social media manager, you would probably

appreciate the time that this would save! As you might imagine, such fabulous time-

saving tools also come with a price tag. At the top end you might budget £500,000 a

year for a comprehensive social media management and reporting tool suite.


Engagement or consumer engagement is broadly explained as a customer’s psychological

and emotional relationship with an organisation. The concept was first suggested in the field

of marketing in 2005 as Roderick Brodie and his colleagues undertook an exhaustive review of

when, where and how engagement was used and explained the concept in some detail. As a

result they offered their own definition of engagement based on five fundamental propositions

assembled from their research:

Customer engagement (CE) is a psychological state that occurs by virtue of interactive,

cocreative customer experiences with a focal agent/object (e.g., a brand) in focal service

relationships. (Brodie et al., 2011, p. 261)



As the name indicates, these tools provide a customer service function. Usually across

several teams, these tools enable managers to allocate support notices or tickets to

different individuals as they occur. So if I contact a brand with an issue about a prod-

uct, or delivery or a general enquiry, it can be filtered to the right team to provide a

speedy response.

Typically these tools are charged on a licence basis, so if I have 150 staff I pay for 150

licences. There is often a minimum monthly fee which makes some of these tools too

expensive for smaller organisations.

Bringing all the social media management skills together, Case Example 11.2 shows

an example of best practice applied to a small charity with limited resources. This is

also a blueprint for a social media strategy.

Case Example 11.2 Midlands Air

Ambulance Charity Social Media Strategy

The air ambulance in the UK is an amazing service that is a collective of registered independent chari-

ties, often based on regions, that all provide helicopter emergency medical services. If critical medical

help is needed, the air ambulance may be called even if a land ambulance is present.

The Midlands Air Ambulance Charity funds and operates three air ambulances across six Midlands

counties: Gloucestershire, Herefordshire, Shropshire, Staffordshire, Worcestershire and the West Mid-

lands. This constitutes the largest air ambulance operating region in the UK. The charity also provides

secondary cover to the surrounding areas, such as Warwickshire and mid-Wales.

They have adopted a social media strategy, which we will explore here.

Conduct a Social Media Audit

Before using different social media channels, they reviewed other charities to see how they used

social media. This provided useful background to better understand what channels to consider and

the potential resources required.

Create Social Media Marketing Strategy and Goals

The Midlands Air Ambulance Charity has aligned its digital marketing and social media strategy and

uses the social media framework (see Chapter 9), as shown in Table 11.6.

Research Your Audience

Their audiences include supporters, volunteers, survivors, corporate supporters, air crew and staff.

The levels of engagement vary between groups.



Build Your Social Media Accounts

The charity’s primary social media channels are Facebook, Twitter and LinkedIn. These are regularly

updated and generate significant interaction in terms of traffic, engagement and messages.

Another social media account under consideration is Instagram. The challenge is the way this

platform works as it is not possible to schedule content. As images need to be added immediately,

it could be dangerous if the social media manager creating the content has their own Instagram

account on their own phone and forgets to switch accounts when posting!

Create Content Calendar

The Digital Communications Coordinator has created content themes as well as calls to action. There

are guidelines on posting frequency so that the charity is not ‘too noisy’ and seen to be spending all

day posting on social media channels.

A master content calendar (see Key Term in Chapter 4, p. 111) has been created, based on the

strategic plan and the communications plan. This included identifying (a) a theme for each month;

(b) a focus on events; and (c) any relevant external content.

A more detailed monthly content plan is developed with topical or other pertinent material.

Post, Listen and Engage

There is a process in place to listen to the audience:

• Positive comments are shared and liked.

• Negative comments may initially be ignored if not relevant. If there is a specific issue, the indi-

vidual is messaged to try and provide a resolution. If the content is abusive or offensive, the

individual may be blocked.

Track and Measure Results

A monthly report is created to measure the activity against the social media goals. This tracks how

information has been shared and the audience engagement.

Recognition of the supporters and volunteers is measured through the number of shares, especially

of images demonstrating fund-raising activities.

There are plans to attribute donations, although many of these can occur offline with donations

in shops, giving at events or other activities.


Table 11.6 Midlands Air Ambulance Charity aligning the digital marketing and social

media strategy

Digital marketing strategy Social media strategy

Awareness Share information

Consideration Audience engagement

Conversion Fund-raise

Evangelism Recognise supporters and volunteers


Review and Improve

Quarterly update meetings look at overall activity and if improvements are needed. This raised the

question about Google+, and with so few people using the network there was a question as to

whether to continue. On balance it was decided to continue adding content for a further six months

as Google+ is beneficial for search engine optimisation, rather than real engagement.

An annual review takes place for a more in-depth review and to develop the outline content

calendar for the following year.

Case Questions

• Identify an example of best practice of social media management.

• Explain why you selected this example and how the best practice is demonstrated.


1. Identify and justify the benefits of using social media, for either a fashion retailer,

a games company or a sports organisation.

2. Discuss the risks of using social media for an organisation of your choice and

provide recommendations on how these risks could be mitigated.

3. Create a plan to manage social media within an organisation. This should address

responsibility for sharing content and identify the roles required within the team.


This chapter has explored:

• The type of social media available for organisations.

• How social presence and media richness theory apply to social media usage.

• The benefits of social media for organisations.

• Factors in social media adoption by organisations.

• The different tools available for social listening and online management.




When you have read this chapter, you will be able to:

Understand all types of resources within organisations

Apply resource-based theory to organisations

Analyse the SAF framework

Evaluate roles and responsibilities using the RACI matrix

Create suitable options for an organisation using the SAF framework


When you have worked through this chapter, you should be able to:

• Assess your personal digital skills to understand what type of digital marketer

you are

• Apply a resources framework to identify gaps in an organisation

• Recommend digital staffing models



This chapter explores issues in managing resources with useful frameworks to ensure

no elements are missed. You will discover more about different digital marketing

roles and understand if you are a T-shaped web marketer or if you need to add some

skills to your portfolio.

The SAF framework will show if you have selected the right resources, and at the

end of this chapter you will better understand how to manage resources, whether at

home, university or work.


Resources in organisations refer to the assets, from the people to the processes and

the knowledge to the networks. Resources are the reasons why organisations succeed,

and in digital marketing all actions, and therefore all resources, can be measured, so

that it is easier to understand what contributes to an organisation’s success.

This is not just my view, it is recognised in business management and practised by

successful organisations, as well as being supported by academic theory.

The Danish economist and management theorist Birger Wernerfelt explored the

resource-based view of the firm (RBV), which subsequently evolved into resource-

based theory (RBT). Wernerfelt’s work took place at a time when success within

an organisation, especially business, was deemed to be down to the product mix,

whereas he suggested that both products and resources needed to be considered.

He proposed examples of resources such as: ‘brand names, in-house knowledge of

technology, employment of skilled personnel, trade contacts, machinery, efficient

procedures, capital’ (Wernerfelt, 1984, p. 172).

Whilst Wernerfelt provided some initial examples of resources, this has developed

into a broader list to incorporate: tangible or intangible aspects of the business; physi-

cal or human processes and intellectual property (Davcik and Sharma, 2016), and

RBT is used in marketing strategy, international marketing and marketing innovation

(Kozlenkova et al., 2013).



Read ‘Resource-based theory in marketing’ by Irina Kozlenkova and her colleagues in the

Journal of the Academy of Marketing Science (Kozlenkova et al., 2013).

Thinking about turning resources into assets, for the tech giant Amazon its processes

are its key resource: the systems in place to deliver goods ordered online the next

day, or the same day in some locations.


Case Example 12.1 Line Adapts Internal

System As New Social Media Platform

The social media system Line (see started as a web-based internal communica-

tion process for employees of NHN in Japan. It became so popular inside the organisation that it was

decided to turn their system into a product and it was released across Japan for use by anyone, not

just company employees.

Seemingly similar to WhatsApp and Snapchat, Line operates on all mobile devices and PCs – that’s

what makes it really different, a multi-device messaging system.

Plus, Line is said to be more fun, with many stickers, animated profile pics, group video chat and

the ability to send lots of images and videos at the same time.

Line is a clever example of maximising the value of a system as a resource and is said to have

around 200 million monthly users. It generates additional company income through the sales of

stickers, animations and other kit in its marketplace.

Figure 12.1 Line messaging system


Case Questions

• Have you or anyone you know worked in an organisation where the process has become the


• Have you worked in organisations where the systems are a pain and stifle the resources?




In digital marketing there is a concept known as the ‘T-shaped web marketer’. It was

started by Tim Brown, the chief executive of international design agency IDEO, who

suggested the notion of T-shaped stars in an interview with the Chief Executive

website in 2010 (Hansen, 2010) and this evolved into the T-shaped web marketer

when Mike Tekula, from an online marketing agency, discussed how and why to build

a ‘T-shaped web marketing skill set’ (Tekula, 2012, p. 1).

He also created a much-shared diagram, shown in Figure 12.2, which shows the skills

in the shape of the letter T.

Cross-Discipline Competence




Technical SEO UI/UX Content Press & PR Analytics

Figure 12.2 The T-shaped web marketing skill set (Tekula, 2012)


Mike Tekula’s discussion focused on search engine optimisation (SEO) and he

advocated a T-shaped marketer who could grasp a wide range of digital market-

ing projects and had an added specialism. He considered the alternatives to the

T-shaped marketer as those at two extremes: those with no specialism – jack of

all trades, or those that could only contribute on a narrow focus with a single

specialist skill.

A person with broad skills and expertise could work with other teams and have some

understanding of the bigger picture. He mentioned and dismissed the idea that people

should become a jack of all trades, which was suggested by Tim Ferriss, the American

businessman and author of the ‘four-hour work week’ (Ferriss, 2007).

Rand Fishkin, long-time SEO expert and founder of the software company Moz,

extended the concept of the T-shaped marketer further and adapted the original image

to build in more digital marketing roles, as illustrated in Figure 12.3.


Figure 12.3 The T-shaped web marketer (Fishkin, 2013)


In the future, digital marketing will simply be marketing. Right now it’s seen as a

separate area as there are many people classically trained in marketing, public relations

and copywriting who are defending their roles and retaining separate departments.

It takes time, often generations, to bring in entirely new concepts and digital is still

considered new. Whilst this situation exists we need to consider staffing models for

digital marketing teams.


Digital marketing has created new digital management and specialist job roles such

as those shown here.

Digital management and admin roles

• Head of Digital Marketing

• Head of eCommerce

• Digital Strategist

• Digital and Social Media Manager

• Social Media Community Manager

• Digital Marketing Manager

• Digital Project Manager

• Digital Account Manager


• Digital Marketing Executive

• Online Marketing Executive

• Digital Marketing Coordinator

• Digital Communication Coordinator

Specialist digital roles

• Digital Product Owner

• Digital Content Lead

• Digital Copywriter

• Strategic Digital Content Executive

• SEO and Content Executive

• SEO Specialist

• PPC Executive

• Programmatic Trading Manager

• Paid Search Executive

• Insight Analyst

• Senior Digital Designer

• Digital Designer

Smartphone Sixty Seconds® –

Exploring Digital Job Roles

• Take out your mobile phone and search for ‘digital marketing jobs’.

• You will probably find an online job board or job website where they list the different jobs.

• How many jobs are available for digital marketing?

• Can you see any new or emerging roles that are different from those listed in this chapter?

There is a question about who manages these newer roles and where they fit into the

organisation. There are five approaches to managing the team, depending on when

and how the organisation was established. These team formats and the rationale for

each approach are discussed here.

Marketing team

This approach is where the senior marketer, whether the marketing manager or direc-

tor, does not understand digital. There may be one or two specialists in different

departments within the company or all their digital work may be managed by agencies.


Marketing team and communications team

More often this team format exists in public sector organisations, major corporations

with shareholders or when external communications represent a significant part of

the organisation. Social media community managers may sit inside the communica-

tions team rather than in the marketing team.

Marketing team and digital team

This often happens where there is a long-established marketing team and digital is

seen as a new idea and a new team is introduced, often with a new digital market-

ing manager.

Digital marketing team

Newer organisations that were launched in a digital environment or those where

digital has become the critical part of the business tend to embrace all marketing

roles in a single digital marketing team.

Integrated marketing team

This approach is where the senior marketer, whether the marketing manager or direc-

tor, understands digital and incorporates all staff into one overarching marketing team.

One of the difficulties with separate teams is that they can operate in silos, as men-

tioned in Chapter 10, Building the Digital Marketing Plan. This leads to weaker plans

and complications with communications as teams don’t always share all activities

with each other!

Some organisations have additional product teams, web teams and ecommerce teams,

all of which may involve some of the digital marketing specialists. One of the ways

around this is to organise project teams or working groups, where members of staff

from different departments work together on a single project. If you are at university

and have had group assignments you may have discovered that some groups work

better than others! There are reasons for this and we will explore roles and respon-

sibilities in groups in the next section.

Activity 12.1 Are You a

T-Shaped Web Marketer?

Assess your skills that you have gained whilst at university and perhaps in a part-time or other role:

1. What are your key skills and how are these evidenced on LinkedIn?

2. Look at the gaps in your skill set and make a plan to build your personal portfolio for when

you leave university.




Clarity is essential to understand who is doing what and when in any organisation

or with any type of project. It also ensures there are no gaps and no duplication. It

removes confusion and assigns clear accountability for specific areas.


There are two popular models for identifying roles and responsibilities in a group or

project: the RASCI model, which stands for Responsible, Accountable, Supportive,

Consulted and Informed (Hightower, 2009) and the RACI model, which represents

Responsible, Accountable, Consulted and Informed (Project Management Institute,


The eagle-eyed among you will have noticed that the only difference between the

two is that the earlier RASCI model included an additional feature as a supporter

or supportive role, which we might call a project assistant. The newer RACI version

removed this, as shown in Table 12.1.

Table 12.1 The RASCI and RACI models


RASCI model

(Hightower, 2009)

The RACI model

(Project Management Institute, 2013)

Responsible Those responsible for carrying

out the task

These people have responsibility for certain tasks

Accountable The person who approves or

‘signs off’ the task

The person accountable for the job in hand who will

give approval

Supportive Those who support the



Consulted Those who have information and

the capability to complete the task

These people would like to know about the task

and their opinions are needed before a decision is

made or action taken

Informed Those who should be notified of

the outcomes

This group get one-way communication to keep

them up to date with progress and other messages

after a decision is made or action taken

Project management is a science in its own right and there is a formal system called

PRINCE2®, which stands for PRojects IN Controlled Environments, which evolved

within the UK government where project owners needed to ensure that they delivered

projects on time, to budget and at an agreed quality level.

RACI roles and responsibilities

Imagine you are launching a new advertising campaign using Facebook. Table 12.2

shows an example of how the RACI roles and responsibilities chart might look.


Table 12.2 RACI roles and responsibilities example


Digital Marketing

Assistant Designer

Digital Marketing




Justification for


A – R C

Target audience



Copy for campaign R – C I

Image options for



Campaign execution R – A –

Campaign monitoring R – I –

Campaign feedback R C A I

R = Responsible, A = Accountable, C = Consulted, I = Informed.

Why bother using the RACI or RASCi matrix?

Trust me, this soon becomes clear when working on a project! Here are some reasons

why roles should be clarified and agreed, in advance:

• If the roles and responsibilities are unclear, it takes ages to get a decision and no

one knows whom to contact and how to get a ‘yes’ when needed.

• Plus, if the work doesn’t go according to plan, it is not clear why or who is


• Too many people focus on doing the same thing. ‘I didn’t know you were doing

that too!’ becomes a common mantra.

• Stuff just doesn’t happen: ‘I didn’t know we needed to do that, oops’.

• It’s demoralising: some staff are taking on too many tasks to catch up, others

rock up at 9:00am, leave at 5:00pm and take a full hour for lunch, and when they

return get the evil eye …

Think back to the last time you had a group work project. Did it work well? It

can be the same in business too. In organisations where projects are assigned,

some people do more than others and they use the same excuses you have heard

in group work!

Some people say they are doing the work but adopt cyberdeviant behaviour (see

Ethical Insights: Cyberdeviancy) and use the technology or systems for their own

benefit, rather than for the good of the organisation.

Or worse still, a friend (!) picked up your phone and checked your email or Snapchat

account when you weren’t looking and either signed up for undesirable emails or

added inappropriate accounts! Check if you have been hacked with the Digital Tool:

Have I been pwned?


Ethical Insights Cyberdeviancy

Technology at work is intended to help the organisation and enable more productive processes. The

use of work equipment for other purposes or for aggressive means is called cyberdeviancy. The aim

is to either threaten or harm the organisation or its staff (Weatherbee, 2010). Cyberdeviancy involves:

• Cyberloafing – constantly looking at your Facebook page, web surfing, or shopping online whilst

at work.

• Cyberaggression – where individuals point out errors in documents and publicly share the mistake

by copying in entire departments, intending to score points and look better than others.

• Hacking – this doesn’t always refer to finding ways into other computer systems and can involve

checking colleagues’ emails when they forget to lock their computers! I have known this to

happen where people have taken advantage of someone failing to lock their PC and they have

signed them up for unpleasant websites and newsletters, thinking it was amusing. What they

didn’t realise is that most organisations can track dates and times of all actions and check back

to see what happened!

• Cyber whistle-blowing – possibly revealing secret or company confidential material.

Cyberdeviancy is best avoided, as when discovered it can result in disciplinary action, potential dis-

missal or legal action! There are several cases of students in the UK and the USA who hacked into

their university systems to improve their grades and who destroyed their careers because they were

arrested and charged with criminal offences (Espinoza, 2015; Thompson, 2016).

Digital Tool Have I Been Pwned?

In case you are concerned whether your data has been compromised, a Microsoft regional director

has created a free website where you can check to see if your email address has been subject to a

data breach or has potentially been hacked.

Go to and add your email address. Has your data been compromised?

And if you are wondering why it’s pwned not owned it’s because in the myths of computer gaming

a designer is said to have mistyped owned as pwned and the meme has continued.

Activity 12.2 Evaluate Roles and

Responsibilities with the Raci Matrix

Imagine you are working on a group project for one of your assignments. There are specific tasks

required at different times. You all have different roles and are sharing the tasks to save time.

Using Table 12.3 as your framework, note the top seven tasks and identify the roles you will all

take. When you have done this, add in the RACI factors to show who will be responsible, accountable,

consulted and informed during your project.

See Template online: Evaluate roles and responsibilities with the RACI matrix



Your digital marketing plan may have listed the resources required (see the 9Ms in

Chapter 10) and this may be a wishlist for some organisations, including items like:

extra staff, new software systems to improve the customer journey, extra training for

current staff and more! The issue is whether this is possible. As an example, smaller

organisations face greater challenges and may not be able to afford new IT systems

or to simply recruit larger numbers of staff as soon as needed.


The issue is, how do you assess whether your list of actions or requirements is suit-

able? UK-based lecturers Gerry Johnson, Kevan Scholes and Richard Whittington wrote

a textbook called Exploring Corporate Strategy (Johnson et al., 2008) in which they

created a framework for justification of actions and strategies, in terms of whether

they were suitable, acceptable and feasible. Called the Suitability, Acceptability,

Feasibility (SAF) framework, it seeks justification of actions and strategies to see if

they demonstrate suitability, acceptability and feasibility in relation to the organisa-

tion, its purpose and environment, as shown in Figure 12.4.


• Will the expected performance

outcomes meet stakeholders’



• Does the organisation

have the resources and

competencies to deliver?


• Does the strategy address the

circumstances in which the

organisation is operating?

Figure 12.4 The Suitability, Acceptability, Feasibility (SAF) framework

You may already be using the SAF framework! Imagine when you are thinking about

a new mobile phone:

• Is the phone battery life suitable for long commutes and the three-day festivals

you are planning to go to this year?

• Will it be acceptable in size, style and brand and considered as OK by friends?

• Is the phone feasible in terms of the contract price affordability and will you be

able to re-sell at the end of the contract?


These are important factors as buying a mobile phone or taking on a new phone contract

may involve a one-off payment or a monthly fee of £10 to £60 depending on the type,

the length of contract and other variables. In this case you are justifying your decision to

yourself and your bank balance! You process the SAF framework in your head in about five

minutes, but when applying this to an organisation, especially where you may have been

given a budget, the best approach is to follow the four SAF steps that we will explore here.

Step 1 – Suitability, Acceptability, Feasibility


Justification is the key here. Imagine you have recommended developing a new app

for a business. This involves a major investment. If you are working as a digital mar-

keting manager, you are responsible for bigger and costlier decisions and need to

address the key considerations, as shown in Table 12.3.

Table 12.3 Key considerations in the SAF framework

Element Key considerations

Suitability • Will the strategy meet the organisation’s objectives?

• Does it fit with future trends, environmental opportunities and digital disruption?

• Does it exploit the strategic capabilities of the organisation?

• Is it sustainable over the long term?

Acceptability • Will the strategy be acceptable to key stakeholders?

• Will the strategy meet the expectations of key stakeholders?

• Are the expected performance outcomes (e.g. return on investment) acceptable?

• Are the associated or potential risks containable?

Feasibility • Can we afford it?

• Can the strategy be made to work in practice?

• Do we have the resources and competencies to make it happen?

• Do we have experience or success in delivering similar strategies in the past?

It’s possible that you may not know all the answers and so need to gather more

information – that’s step 2.

Step 2 – Information sources and analysis

It is worth going back to Chapter 8, Audit Frameworks to ensure your information

sources are valid and rigorous!

You probably need to carry out research to justify the investment. This could include

a digital marketing audit and analysis of customer behaviour. Another factor is the

financial analysis, which needs potential income (based on your proposal) and the

costs of development and delivery. The more detail and analysis included, the stronger

the recommendation will be.

Step 3 – Ranking/Comparison

You use step 3 when you have several choices and you are not sure which to

select, so ideally you compare the options. You might introduce a scoring system


or a yes/no approach. The more yes answers, the more likely that option is to

go ahead.

Let’s work through an example of how to score different options using SAF. To do

this, I have applied a score from 1 to 10, where:

10 = the option fully meets criteria = YES

5 = there are some limitations in meeting the criteria = MAYBE

1 = a significant issue exists in meeting the criteria = NO

I will use Airbnb as my example case. Their current focus is enabling people to rent out

spare rooms and properties to others for a few days or longer. Let’s step into the future

and imagine that they introduce PetBnb so you could take your cat, dog or iguana on holi-

day with you too. OK, I know it’s a bit tenuous, but it’s to show how the scoring works!

Table 12.4 works through an adapted version of the SAF framework, where I have

scored the option of developing PetBnb.

Table 12.4 SAF framework scoring example applied to PetBnb

SAF framework

element Key considerations


score Comment/Implication

Suitability Will the strategy meet the organisation’s


10 Represents business growth

Does it exploit the strategic capabilities of

the organisation?

10 Yes, the systems are already in


Is it sustainable over the long term? 5 May require an emergent strategy

as competition increases

Acceptability Will the strategy be acceptable to key


10 They will love the idea!

Are the expected performance outcomes

(e.g. return on investment) acceptable?

5 It’s been requested and people

specify when they don’t want to

stay in homes with pets, so the

reverse could happen too

Are the associated/potential risks


1 A few risks, may need contingency

plans, such as to partner with

local vets

Feasibility Can we afford it? 10 Investment available internally or

short-term loan

Can the strategy be made to work in


5 Short-term partnership required

for market knowledge about pets

Do we have the resources and competencies

to make it happen?

10 Experienced project team can be

established quickly

Do we have appropriate experience/success

in delivering similar strategies in the past?

10 Skills and systems in place

Total score 76

I have kept this fairly simple so there are 10 questions to be answered, a maximum of 10

for each response, so the maximum total could be 100. With 76/100, this is an acceptable

recommendation. If this had been 30/100 it might be rejected. This takes us to step 4.


Step 4 – Conclusion

If the PetBnb example was assessed against other options such as PartyBnb to rent a

party house or WeddingBnb, it is easier to decide which will work best. In the PetBnb

example in Table 12.4 this requires some judgement, so more research might be needed!

There is subjectivity in scoring the different elements, so a discussion can be useful

if you are working in a team.

Other benefits for scoring the options include:

• Highlights potential limitations or gaps in the organisation’s capabilities

• Indicates actions needed to fully meet the criteria which could have been over-

looked earlier

• Clarifies the options that best suit the organisation

Don’t lose heart if the options seem unattainable! If you have ever had a placement

with or worked in a small organisation, you will know that they can’t always recruit

new staff as needed. One option may be crowdsourcing.

The power of the crowd has spread into online freelance marketplaces which can be

useful for organisations needing short-term help, as well as for students seeking project

work. Plus there are crowd-based websites that generate ideas, such as 99 designs,

Crowdspring, OpenIdeo and websites to raise funds for new ideas (Crowd-cube,

Crowd-funder, Kickstarter). You are probably also aware of crowd-selling websites

(eBay, Etsy, PeoplePerHour), crowd-support (Quora) and crowd-creation (Wikipedia).

Activity 12.3 Assess Your

Options for Crowd-Based Power

Look at a crowdsourcing website (you may need to sign up) and identify if there are any areas where you

could contribute: perhaps designing a logo, conducting a digital marketing audit or building a website.

Crowdsourcing has been used by countries worldwide, as Case Example 12.2 shows!

Case Example 12.2 Crowdsourcing

for Gold

A smaller gold-mining company from Quebec, Canada, Integra Gold, wanted to identify the best loca-

tions on which to focus their resources to identify new gold streams. They had heaps of data – more

than 6 terabytes that covered a 75-year history.



Typically mining companies are extremely secretive but the style of the MD and senior manage-

ment team was totally different. Instead of paying analysts to examine the data and spend years

checking results, they decided to seek help from the crowd.

They launched a crowdsourced competition, sharing the data with all interested parties, with a total

prize pot of 1 million Canadian dollars for those presenting the most innovative and creative solutions

(Integra Gold, 2015). The aim was to get much faster results and share the reward. This was a totally

unheard-of method of working in this sector and heralded a new disruptive style.

The five winners included one firm that already provided this service but they adopted a different

approach, using virtual reality to better explore the mines (Market Wired, 2016).

Case Questions

• What do you think about crowdsourcing for a strategic aspect of the business, as in this case


• What are the risks involved in sharing data in this way?

• How else would you have solved the issue of analysing years of data?


1. For an organisation of your choice assess its key resources using resource-based

theory. These resources may include brand names, in-house knowledge of tech-

nology, employment of skilled personnel, trade contacts, machinery, efficient

procedures, physical or human processes or intellectual property.

2. For an organisation of your choice, analyse and explain which approach it has

adopted for staffing. Compare to a similar organisation and discuss which staff-

ing model for digital is most successful and why.

3. Using the SAF framework, propose amendments to either (a) the way your uni-

versity or (b) a well-known brand operates.

See Template online: The Suitability Acceptability Feasibility assessment


This chapter has explored:

• Managing resources which requires a balance of understanding what they are,

ensuring their potential has been realised and planning for the future.

• Different digital marketing roles and team formats.

• How to apply the SAF framework to choose the best option.

• How to use RACI when allocating team roles and responsibilities.







When you have read this chapter, you will be able to:

Understand the benefits of metrics in marketing

Apply the Plan–Do–Check–Act (PDCA) framework

Analyse the Uses and Gratifications theory

Evaluate dashboards for marketing

Create a marketing dashboard


When you have worked through this chapter, you should be able to:

• Evaluate metrics within an organisation

• Create a dashboard to measure what matters



Measuring online marketing is the key difference in digital. Every web visitor, every

device used and every page viewed can be analysed using onsite and offsite tools.

This chapter looks at metrics, from web to social media analytics, from email to SEM

and content. The analytics and insights available from a range of online sources form

a large picture.

This chapter explores all types of analytics from web to social media, email to con-

tent marketing, and to ensure the data isn’t shared as a boring report, we will also

look at dashboards.



From an early age everything we do is measured – our birth weight, height, the year

we started to walk and talk, then at school there are so many tests to measure our

performance: how well we perform in specific subjects, over the whole year and

compared to our peers. In the same way, organisations measure performance. Instead

of measurements we call these metrics (see Key Term), which I could argue sounds

more scientific, although as Tim Ambler at the London Business School said, ‘a metric

is a performance measurement’ (Ambler, 2000, p. 61) and is part of the ongoing call

for marketers to be more accountable.

Metrics or measurements in isolation may not matter; what does matter is being able

to apply the data, which means:

• Understand the metric and evaluate the impact, for example how does this

compare? How did that work?

• Provide feedback and recommend, for example, that this means our campaign

worked/failed, the website changes had a positive/negative result.

• Take action to improve a situation, for example we should now monitor, adjust,

change, add, remove.


In the field of quality management the PDCA cycle was created by Walter Shewart

and refined by his student Edward Deming (Johnson, 2002). It is a basic circular

concept that dates back to the 1920s, but it is still valid and encourages managers

to plan what is needed (identify the problem), do something about it (develop solu-

tions), check the results (evaluate the metrics) and act to fix it (make the necessary

changes). This section explores the ‘check’ stage so that you can recommend actions

for positive change.


Activity 13.1 Application

of the PDCA Cycle

Table 13.1 contains data from Twitter relating to one tweet. The aim of this tweet was to drive traffic

to a website, as part of an awareness, consideration, conversion strategy (see Chapter 9, Strategy

and Objectives).

You can see there were many impressions but they only converted into 25 link clicks or visits to

the website. The tweet contained a static image, one hashtag and one link. Typically from a link click

there is a 2% conversion rate for people sharing their data or completing a sale.

1. Using the PDCA elements, review and analyse the data. This should identify:

• What worked and what didn’t?

• What were the percentages from impressions to engagements and link clicks?

2. Based on the data analysis, develop solutions, suggest metrics and recommend changes.

Table 13.1 Twitter data

Activity What this means Volume

Impressions How many people saw the tweet 20,192

Total engagements How many times people interacted with the tweet 1,070

Profile clicks Number of clicks to Twitter profile 371

Media engagements Number of clicks on images posted 282

Likes How many times people liked this tweet 201

Detail expands Number of times people viewed the details about this tweet 112

Retweets Number of times people retweeted this tweet 73

Link clicks Number of times people clicked in a link in this tweet 25

Replies Number of people that replied to this tweet 11

Hashtag clicks Number of clicks on a hashtag in this tweet 12

See Template online: Application of the PDCA cycle


There are two definitions of metrics which are helpful:

Tim Ambler in Marketing Metrics suggested that ‘a “metric” is a performance measure

that top management should review. The term comes from music and implies regularity: the



reviews should typically take place yearly or half-yearly. A metric is not just another word for

measure – while all metrics are measures, not all measures are metrics. Metrics should be

necessary, precise, consistent and sufficient for review purposes’ (Ambler, 2000, p. 61).

Paul Farris and his colleagues in their book Key Marketing Metrics defined a metric as ‘a

measuring system that quantified a trend, dynamic or characteristic’ (Farris et al., 2009, p. 1).


Metrics have evolved as online channels provide greater visibility and more data for

marketers. Digital marketing metrics are a way that organisations measure their online

performance and Table 13.2 shows a range of measures from traditional to digital.

Apart from the change in data accessibility, there has also been a change of attitude

with a move away from quantifying negative to positive comments and abandoning

the concept of measuring complaints but rather capturing customer satisfaction.

Table 13.2 Metrics from traditional to digital

Metric type Traditional Digital

Financials • Sales

• Return on investment

• Sales

• Return on investment

• Conversion rate

• Cost per action

• Cost per lead

• Cost per customer

• Customer Lifetime Value



• Total number of customers • Number of views (posts, videos, ads)

• Fans, likes, followers



• Loyalty/retention • Volume/value of repeat sales

• Willingness to recommend



• Number of complaints (level of


• Net Promoter Score/Customer Satisfaction Index

• Sharing, re-tweets

• Favourites

• Feedback to your business

• Comments on the site

• Ratings/Reviews

• Advocates positively promoting your business

Product quality • Relative perceived quality • Number of returns

• Review scores

Market share • Volume or value • Number of visitors to owned media

Market growth


• The percentage at which

your market is growing (or

declining) offline

• The percentage at which your market is growing (or

declining) offline and online

Awareness • Unprompted recall • Share of voice

• Brand sentiment

• Talking about you off site

Engagement • Mailing list • Email subscriptions

• Group membership

• Downloads

• Love/Like this



• Number of stockists • Online availability


Metrics, also called analytics and insights, are available within all social media plat-

forms. You can see the numbers of visitors, viewers, followers and more. In addition

to the customer volume measures, digital marketing metrics cover specific processes

such as web analytics, social media analytics, email analytics, pay per click (PPC)

analytics and content analytics, which are covered in the following sections.

With data from diverse sources, you might think that you could look at just one

source for all your information. However, there are issues with comparative analysis.

You might imagine that the results you get on your Google Analytics dashboard will

tally with your Facebook Insights or Twitter Insights, but not so. All collect data at

separate time points and use different methods of calculation and there have been

many reported errors! (See Ethical Insights: What you see isn’t what you get.)

Ethical Insights What You See Isn’t What

You Get

The numbers matter, as it’s how advertisers are charged, so if you are told there have been 1,000

views, you pay for 1,000. But if in fact it’s only 600 views you have been overcharged!

Facebook, YouTube and Twitter have all had issues calculating metrics, and one by one they have

all apologised for getting the numbers wrong.

• In December 2016 Twitter noticed they had wrongly calculated video viewings after an Android

update – they refunded all affected advertisers (Twitter, 2016).

• In January 2017 YouTube apologised as video views suddenly dropped as the company

re-calculated how views were counted (Marissa – Community Manager, 2017; YouTube, 2017).

• In May 2017 Facebook reported a bug that ‘misattributed some clicks on video carousel ads’

(Facebook, 2017).

New standards have been demanded by advertisers and as Thomas Hobbs reported in Marketing

Week, ‘Marketers becoming “paranoid” over reliability of marketing metrics: Almost three-quarters

of senior marketers believe media measurement currencies are becoming “increasingly corrupted”

and that players such as Google and Facebook have too much control’ (Hobbs, 2017, p. 1).

Metrics or KPIs or OKRs?

Whilst we are talking about metrics, many firms develop and measure Key Performance

Indicators (KPIs) and many tech companies consider Objectives and Key Results

(OKRs) which are similar to KPIs and include the objective (see Digital Tool: Google

OKRs spreadsheet and scorecard).

These KPIs are the agreed metrics they wish to understand. KPIs are often finan-

cially focused and Table 13.3 shows the most common financial KPIs and there

are many more – if you’re interested, visit the library and check out textbooks on

financial management!


Table 13.3 Financial KPIs

Financial KPIs What this means Example

Sales or revenue Total income from sales In 2016 Facebook’s revenue was $27,638 million

Net profit or net


The amount of money left after all

deductions (cost of sales less all

operating costs and overheads)

In 2016 Facebook’s net income was $10,217 million

or 37%

Gross profit The amount of money left after

all direct sales costs (before

operating costs and overheads)

In 2016 Facebook’s revenue was $27,638 million

and the cost of revenue was $3,789 million,

therefore the gross profit was $23,850 or 86%

Return on investment


Net profit divided by the

investment cost, usually as

a percentage

ROI = (Net Profit/Cost of

Investment) x 100

If you invested in Snapchat’s shares when the

company launched on the stockmarket, you

would have paid $27.09 per share. After 3

months the shares were valued at $17.77 so you

had a negative return on investment

Digital Tool Google OKRs Spreadsheet

and Scorecard

Google and others have formed a collaborative team called re:Work and their aim is to share best

practice in data-driven management. They have created two downloadable online tools to help build

Objectives and Key Results (OKRs). Before diving in, watch the video first, which explains Google’s OKRs:



Download the spreadsheet and scorecard to measure and track OKRs:

• See


There is a question with so many metrics: what really matters? Figure 13.1 shows

examples of weak, acceptable and strong metrics. The weak metrics shown here are

often called vanity metrics (see Key Term). They don’t contribute meaningful data,

for example on Facebook you may have 100,000 fans, but fewer than 2000 may see

your content due to the algorithm (see Chapter 3, The Digital Marketing Toolbox)

so the number of fans has no impact on content shared. An organisation may have

50,000 Twitter followers, but if the followers miss a few hours looking at Twitter, they

may not see any tweets that have been shared.

These metrics follow the social media framework of awareness, consideration, conver-

sion, discussed in Chapter 9, Strategy and Objectives. The stronger metrics are those

that generate conversion actions such as a sale or provision of an email address or

other data, to start a one-to-one conversation.


• Views (posts, videos, ads)

• Fans, likes, followers

• Sharing, retweets

• Favourites

• Feedback to your business

• Comments on the site

• Number of visitors to owned media

• Email subscriptions

• Group membership

• Downloads

• Ratings/Reviews

• Love/Like this

• Brand sentiment

• Advocates positively promoting your business

• Return on investment (ROI)

• Conversion rate

• Cost per action

• Cost per customer

• Conversion action (sale, data swap, applicants)

• Repeat sales (retained, returning customer)

Weak (Awareness)

Acceptable (Consideration)

Strong (Conversion)

Figure 13.1 Weak, acceptable and strong metrics


Vanity metrics are considered as those that make you look good but have little substance.

Writing in the Journal of Advertising Research, Stephen Rappaport (2014, p. 110) commented

that numbers such as likes, page views and time on site ‘make people feel good even as they

give the impression that digital marketing efforts are paying off, but they don’t answer any

number of more pertinent concerns, including the following:

• Why were these metrics reported?

• How do they relate to an objective?

• After data analysis, what remain unanswered?’


Having understood which metrics matter most, how can we use them? Table 13.4

shows the strong metrics identified in Figure 13.1, explains who these may be useful

for and how they are applied. What’s interesting is that this shows the figures mat-

ter for people outside the marketing team and may include community managers,


content creators which may involve external agencies, customer service, finance,

general managers, product selectors, sales teams and web developers.

It is wise to relate the metrics being used to the organisation’s overall objectives or

KPIs as they will be recorded on a formal basis and everyone is using – and hopefully

understanding – the same measures.

Table 13.4 Metrics and how to apply them

Metric Explanation Who useful for How to apply

Number of visitors to

owned media

Number of visitors to a

website, by hour, day,

week, month

Content creators To see if website and other owned

media are performing or growing

and if not why

Email subscriptions Number of people

signing up for your email


Content creators,


To see if ‘email collectors’ such as

‘subscribe here’ are working

Group membership Number of people joining

a group created by the




To see if it is worth continuing or

adapting the group

NOTE: specific group objectives

are needed (see Chapter 5, Online


Downloads 100 people downloaded a

‘how to guide’

Content creators To see how many people

downloaded information and if it is

worth (a) creating the information

and (b) asking for personal data

before the download

Ratings/Reviews Ratings that may be

verified or unverified,

e.g. rated five stars on

TripAdvisor® or product

given one star





To understand what is happening

with frontline teams, to gauge

feedback on products that do/don’t

work and make changes quicker

Love/Like this People clicking the ♥ to

show their friends they like

the item




To understand trends and if the

‘love’ becomes a purchase

Brand sentiment People talking about the

brand online

Marketing To understand brand strength and

make changes if needed

Return on investment


The investment divided by

the resources employed,

e.g. if a new website

costs £50,000 to develop

and generated sales of

£180,000 over 12 months,

the ROI was £130,000 or

2.6 times



To see if the money and resources

invested generated the expected

return which is a useful way of

planning future budgets but a

strategic measure which may need

consideration after 12 months

Conversion rate Often a percentage

showing the number of

people who visited your

site and the number who



sales, web


Small tweaks can make a big

difference. If you generate 10,000

visitors to a website with a 2%

conversion rate, this is 200 sales,

so conversion rate optimisation

techniques (see Chapter 14,

Integrating, Improving and

Transforming Digital Marketing) to

increase to 2.5% could generate an

extra 50 sales


Metric Explanation Who useful for How to apply

Cost per action The cost per click, video


Marketing To understand how much it costs

for each action and whether it is


Cost per customer/

cost per acquisition

The cost of acquiring a

new customer

Marketing To understand how much it costs

to acquire a customer and whether

it is viable

Conversion action

(sale, data swap,


When people complete a

conversion, such as buying

a product online, sharing

their email address,

registering to donate

Sales, Marketing To understand which actions were

more successful and adapt other


Repeat sales (retained,

returning customer)

The number of customers

that return and make

a second and ongoing

purchases, or continue

to subscribe (rather than

unsubscribe) and maintain

their donations





To see if customer service and the

customer journey are working and

calculate the customer lifetime

value (see Key Term – customer

lifetime value)

Case Example 13.1 shows how a business to business (B2B) organisation measures

and uses digital marketing metrics.

Case Example 13.1 B2B Digital

Marketing Metrics

Amy Staniszewski, a digital marketing specialist working in a business to business environment,

shared details about the metrics she uses to measure their B2B marketing campaigns. She explained

that the main metrics included engagement and sales volume measures. There are examples here,

with why they matter:

• Engagement metrics such as retweets and likes on social media – to understand what content

is effective

• Open rates on emails, particularly in A/B testing – to understand which headlines and images

work, to inform future campaigns

• Number of Playbook downloads – to see what works and if these convert to webinar bookings

• Number of signups to webinars – to see what topics work and provide leads for the sales team

• Number of attendees for webinars – to see what topics resonate with the audience and provide

leads for the sales team after the webinar

• Number of people who drop out from webinars – to understand why the engagement wasn’t

completed and inform future timing of online events

• Number of leads created – to measure how many convert to sales and monitor conversion rate

Case Questions

• What other metrics would be beneficial for the company?

• What is the best way to report these metrics?


Customer lifetime value

A concept that is measured is customer lifetime value (CLV), which was first mooted

by F. Robert Dwyer followed by a description by Gordon A. Wyner (Wyner, 1996;

Dwyer, 1997). The factors in CLV are:

• Establish the relevant universe – who are the actual and potential sources of


• Develop measures of components of value – this is customer revenue and cost

over time

• Determine overall customer value – from the probability of being acquired, the

expected annual expenditures and the expected lifetime of the customer


The notion of customer lifetime value (CLV, also labelled LTV) is part of the concept of relation-

ship marketing.

Rather than a one-off sale, the idea is that there is an ongoing relationship where the

company provides useful products or services wanted by the customer who makes repeat

purchases. Instead of calculating the initial order value, the whole of life value is calculated.

As an example, men’s grooming has become popular. To look good, chins need mainte-

nance and it is easy to sign up to a regular pack with companies like Dollar Shave Club (see, which charges £5 for its starter set and then £8 a month for

standard razor cartridges.

If we imagine that a man stays beard-free for 3 years, that would mean possibly a 35-month

arrangement, which is £285, yet the initial cost is £5. If you add the trial kit set at £5 and a

few more items from the grooming kit every quarter, it could take the customer lifetime value

to £300.

According to Musfiq Mannan Choudhury and Paul Harrigan there is a hierarchy of

customer value (Choudhury and Harrigan, 2014):

• Customer lifetime value (CLV): Present value of future profits generated from a

customer over their lifetime

• Customer referral value (CRV): Referrals generated by the customer

• Customer influence value (CIV): Value of customers influencing and sharing

product and brand knowledge

• Customer knowledge value (CKV): The value of customers with expert knowledge

about a product or brand who help other customers


The change from a traditional measure of lifetime value to knowledge value represents

the influence of digital marketing where individual customers can become advisors

and experts. Interestingly in an online environment Dipak Jain and Siddhartha Singh

observed that ‘the cost of acquiring a customer is higher on the Internet, and profit-

ability from a customer can only come if that customer makes many repeat purchases’

(Jain and Singh, 2002, p. 35).

Another consideration is understanding where the sale came from in the first place,

which we will explore next.

Multi-touch attribution modelling

Beware! There are challenges with metrics as they don’t always tell the right story …

You might think that an advert on Facebook was the reason for the sale, but perhaps

it was the email? Or was it the search results? Added to this, the customer might have

searched online for the item at work and continued the search when they arrived

home, on a different device!

The issue is about attributing the source of the sale, so that marketers know where to

invest their resources. This is one of the greatest difficulties for digital marketers. In

an online world there are multiple touchpoints and this is referred to as multi-touch

attribution modelling or attribution. It was defined by Google, for two reasons:

(a) an advanced analytics package was needed to see the touchpoints; and (b) this

originally referred to results from paid search adverts (see Key Term), although we

could say this considers the customer’s entire path to purchase (see discussion of the

customer journey in Chapter 2).

Chris Anderson and Ming Cheng conducted research into attribution modelling and

stylised a customer search, as shown in Figure 13.2. This demonstrated how a cus-

tomer might purchase immediately, but also might not.

Attribution modelling will continue to grow so that marketers can better understand

how sales were generated, although the analytics packages that provide greater insight

tend to be aimed at enterprise level. The standard packages require time and effort

to add in all potential channels.



An attribution model is the rule, or set of rules, that determines how credit for sales and

conversions is assigned to touchpoints in conversion paths. For example, the Last Interaction

model in Analytics assigns 100% credit to the final touchpoints (i.e., clicks) that immediately

precede sales or conversions. In contrast, the First Interaction model assigns 100% credit to

touchpoints that initiate conversion paths. (Google, 2018, p. 1)


Search start

Enter search

query at time t-1

Search results



Search end








No Yes

Enter search

query at time t

Enter into

advertiser j’s


Figure 13.2 Flowchart of customer search loop

Source: Anderson and Cheng, 2017, p. 255 Cornell Hospitality Quarterly



‘The path to purchase and attribution modeling: Introduction to special section’ by P.K. Kannan,

Werner Reinartz and Peter Verhoef, published in the International Journal of Research in

Marketing, provides a useful background (Kannan et al., 2016).

The next sections explore different metrics based on specific digital channels.


Web analytics can be described as the assessment of a variety of data, including web

traffic, web-based transactions, web server performance, usability studies, user-

submitted information and related sources to help create a generalised understanding

of the online visitor experience. The official Web Analytics Association definition

of web analytics is ‘the measurement, collection, analysis and reporting of Internet

data for the purposes of understanding and optimizing Web usage’ (Web Analytics

Association, 2008, p. 3).

Web analytics come in two forms; onsite and offsite analytics. Onsite analytics measure

actual visitors to the page and this is based on access to the data, i.e. you control or

manage the website and can look at the detail. Offsite analytics do not require access

to the data. Based on aggregated data from companies like Google, offsite analytics


measure potential web audience numbers and show how your website compares to

others. These tools are often freely available with some limited data.

There are two major methods for gathering information for this web analytics: web

server log files (see Key Term) and page tagging (see Key Term)


Web server log files or web log files is a record (log) of every action (hit) on a website. This

includes a visit to the site, clicking on specific items and the steps through the website. The

web log file is created and is available to the website administrator. They can see the visitor

behaviour but will not always know who the visitor is.

There are challenges with cookies because they can be rejected or blocked or removed.

Sometimes the cookies time out before a page loads, especially when it is a slow load-

ing page – busy visitors may click off the page before it loads fully. Other challenges

include the page tagging not reporting on non-pages such as PDFs or downloaded

files, so the data may not be accurate.


Page tagging is adding tags to web pages; these tags are better known as adding cookies

when visitors arrive at a web page.

See also Key Term – cookie, p. 42.

Web analytics include a range of metrics, as shown in Table 13.5.

Table 13.5 Web analytic data elements

Web analytic element Data available

Site usage/audience • How many visitors came to the site

• How frequently they visited

• Geographic data

• Some demographic data

• Technical data; browser, device type

• Path through the website (visitor funnel)



Web analytic element Data available

Site content • Top entry pages

• Top exit pages (where shopping carts were abandoned)

• Top performing pages

• Least performing pages

• Length of visit (duration and bounce rate)

Visitor sources • Where the visitors came from

• Percentage of visitors from social networks

• Some data on the search terms to arrive at the site

Quality assurance • Broken pages

• Site speed

Table 13.5 (Continued)

The best-known web analytics program is probably Google Analytics. People always

say this is free, which it is at one level, although in exchange for the free service,

Google captures and uses your data. So, whilst it may be without charge, Google

benefits from knowing about your data.

There are companies that opt for the paid-for version, so they control and manage

their own data. For example, financial institutions often don’t want to share their

data with Google, so whilst they use the program, they pay to store and retain their

own data. For a fully customised Google Analytics package the fees start at around

£100,000 a year.

Digital Tool Google Analytics Academy

Google is keen for students to learn more about analytics and has created a series of free, online

workshops. Visit the link below to start exploring!


To get started you add a tag to your website which allows Google to share data with

the web team. Some of the Google Analytics terminology includes:

• Users: Visitors to the website.

• Sessions: The period of time a user is active on your site and if they are inactive

for 30 minutes or more (say they pop for lunch and leave the web browser open)

this is counted as a new session.

• Page view: A webpage being loaded (or reloaded) in a browser. Page view is a

metric that means the total number of pages viewed.


• Bounce rate: A bounce is a single-page session on a website. Typically, a single-

page session lasts less than one whole second! It often occurs when someone

visits a website by mistake.

• Session duration: The average time a user (visitor) spends on your site – it is a

basic measure as it is simply total visitor numbers divided by the total time on

the site.

• Conversion: A completed activity, online or offline, such as buying a product

online, downloading a white paper or clicking the ‘live chat now’ button.

• Attribution: The process of assigning credit for conversions to touchpoints in the

customer journey.

• Tag: A snippet of code (JavaScript) that sends information to a third party, such

as Google. The Google Analytics tracking code or Facebook pixel are examples

of tags.

Activity 13.2 Create Your

Own Analytics Data

1. Start a blog!

2. Use free blogging tools such as WordPress or Blogger and create some posts about your

digital marketing experience. Ideally posts should contain at least 350 words – that’s less

than a page of A4 – so that Google can see and index the posts.

3. Add some copyright-free images and credit the image source.

4. Share the blog posts across social media to encourage people to read your content.

5. The blog will provide access to basic analytics and give you an appreciation of how this works.

To gain access, after a month review the data in the analytics section of the blog. You can


• Numbers of visitors

• Which posts were more successful.


Web analytics has become a job role in its own right and can help information profes-

sionals use tested keywords to achieve their SEO (search engine optimisation) aims.

(For discussion of SEO see Chapter 3, The Digital Toolbox.) It can change the way

organisations approach paid search, leading them to focus less on expensive keyword

bidding (Google Ads), and this information can be used to fine-tune the website, to

provide visitors with more useful content and to improve navigation through the site.

Web addresses for specific campaigns can be constructed in such a way, using UTM

parameters (see Key Term – Urchin tracking module (UTM) parameters), that


marketers can analyse exactly which aspects of a campaign were most successful.

For the first time you can tell which ads worked and which ads didn’t.


The downside is big data (see Chapter 1, The Digital Marketing Landscape). There

is such a volume of information that it’s difficult to know where to start and what to

consider when looking at an analytics page. You could get lost in a sea of data and

spend so much time looking, that you don’t discover what’s really needed.

The data changes in real time, so as soon as you have a clear picture, the situation

changes. This speed of data change or its velocity is a challenge and it means agree-

ing when the data is collected to ensure consistency.

And some years ago Google started protecting the searcher by encrypting some data

and not revealing the keywords or key phrases searchers used to find your website.

This means that you look at a Google Analytics page and the top keyword shown is

‘not provided’. This is likely to increase as more web browsers protect their visitors

by not providing the search terms.

There’s also a real variety in the data and in accessing the data. If you are using the

free version of Google Analytics, the company occasionally changes where and how

information is accessed.



One feature that Google retained when it purchased Urchin analytics was their Urchin tracking

module parameters or UTMs. Google described UTMs as custom campaign parameters for

advertising URLs (Google, 2017). These custom parameters (or elements) are added to a web

address so that marketers can identify which website, advertising method, campaign, search

terms and content type worked.

All five parameters must be used and Figure 13.3 shows an example of a web address that

contains these five UTMs.

The main benefit of using UTM parameters is that marketers can better attribute how

the sale or other conversion activity took place.


At one level we have web analytics, which provide data about web visitors, and the

next level of data is within your social media pages.


Figure 13.3 Example of web address using UTMs

As social media pages have visitors, they also gather data on their behaviour. This

enables the social media companies to sell advertising space to organisations as they

have rich details on which Facebook pages are popular, which YouTube channels are

most watched and which interests are visible on Twitter.

Initially social media channels were reluctant to share this data and it is only after many

requests that insights have become available. Whilst there are some benefits with social

media analytics, they are not without challenges. The advantages of social media analytics

are that they provide a useful overview of how content is performing and you can see the

engagement (retweets, link clicks, likes, replies) on different content types. The disadvan-

tages of social media analytics are that they lack depth and detail; the data often doesn’t

tally with other analytics programs and the focus can be on promoting successful posts.

To counteract challenges with big data, the social media platforms typically limit the

analytical information available, which is why it lacks depth and detail.

Two key measures in social media are (a) daily active users (DAUs) and (b) monthly

active users (MAUs). Sometimes you also hear of WAUs – weekly active users.

Facebook, Twitter, Pinterest, WhatsApp and Snapchat all measure DAUs and MAUs –

the details are often included in the reports to shareholders as an indicator of growth.

The difference between DAUs and MAUs is engagement. Daily active users visit the

sites daily whereas monthly users could be said to be less active. Table 13.6 shows

the main terminology used in social media analytics.

Table 13.6 Social media analytics terminology

Expression What this means

Reach/Impressions How many people were shown the post

Engagements/Actions on page Total number of times a user interacted with a post or page: clicks,

shares, replies, follows, likes, links

Engagement rate Number of engagements divided by impressions



Expression What this means

Likes, fans, follows Times a user followed you

Clicks Number of clicks on the page, post, profile, hashtag, links, attached


Reactions Number of people reacting to, commenting on and sharing your posts

(like, retweet, share)

Table 13.6 (Continued)

These expressions are often used as the social media metrics; although it doesn’t

always matter how many people were reached, it matters how many people clicked

on the link to your website and completed a conversion action!


Facebook was initially slow to provide data, which they call insights. Typically, in a

business to business environment users are online during the week, not at the week-

end, and an example of this is shown in Figure 13.4. This is fondly referred to as the

Facebook whale, as the shape never seems to change!

03:00 06:00 09:00 15:00 18:00 21:00


Figure 13.4 When Facebook users are on site for a business to business organisation

What Figure 13.4 provides for marketing managers, is an indication of when to add

content. The dip shows when the weekend happens, so for these companies the

optimum time to share content is after Monday morning.

In Chapter 3 I explained why social media advertising is used and the challenge for

organisations is that Facebook shows very little organic content to people who have

liked the page. Another issue is that people generally respond to more vivid and

interactive content (for more on vividness and interactivity see Chapter 4, Content

Marketing). Typically, photos gain greater reach than videos and regular links fare

badly. This informs social media managers and content managers as to what is needed

on the page – what works.



Twitter’s analytics are similar to those of Facebook and focus on numbers of views

(impressions), such as:

• Impressions: The number of times the tweet appears in a timeline.

• Engagement: The number of times users interacted with tweets, clicked, retweeted,

liked or checked your profile.

• Tweet performance: How many times people viewed and interacted with a specific


• Engagement rate: The number of engagements divided by impressions, shown

as a percentage.

Like web analytics, there is onsite and offsite data in social media. Onsite data is only

available to page administrators. Offsite data is generally available through commercial

providers. If you are a researcher, you may have access to programs like QSR Nvivo

which allow you to copy and paste data from websites and social media pages – this

is known as data scraping, data mining or text mining.

Twitter has different functionality from other social media channels. It has an open

application programming interface (API) which means that developers can access

the system. As a result, there has been much research conducted into Twitter and to

capture Twitter data, I have used a data-mining tool called twDocs (see www.twdocs.

com). This provides access to up to 3200 tweets per session, that can be downloaded

for analysis. The raw meta data can be imported into Excel (and other statistical

packages) and includes an array of data such as the organisation name, date and time

tweet created, tweet content, retweet count, favourite count, link to the tweet, time

zone/location and the Twitter software used.

As social media pages include ‘regular users to celebrities, politicians, company rep-

resentatives comprising of different social and interests groups’ (Su and Chen, 2016,

p. 393), you can access their data for research or other purposes by simply using a

data-mining tool. You don’t even get a notification when your data is downloaded, as

any Twitter account that is publicly available can be mined! Plus you can explore your

Twitter data without the need for any software. You log in to your Twitter account,

go to settings and privacy and request your archive. When it arrives you can open it

in Excel to look at it in more detail!


In the past, direct mail revolved around the use of letters sent by post. The challenge

was that you didn’t know if they had reached the intended recipient, whether they

opened or simply binned the letter, and the only way of knowing if they took direct

action as a result of receiving the letter was to include some form of code that could

be redeemed against a purchase and checked later – sometimes months and months


With email it is so different. As Antun Bilos and his fellow researchers from Croatia

noted, ‘accurately measuring achieved results of any given email marketing campaign


can help companies understand and improve the marketing activities they conduct in

order to ultimately reach their business goals’ (Bilos et al., 2016, p. 97).

Detailed email tracking and measurement are only available if you use an email soft-

ware system, sometimes called an email delivery system. If you send a batch email

to say 1000 people, direct from your Google or Outlook accounts, it might look like

it’s a spam attack. The internet service providers (ISPs) like BT, Sky and Virgin may

decide to block the emails so that they are not delivered at all. And again, if they are

delivered, you don’t know who has opened the email or clicked on links unless you

have requested read receipts and created dedicated landing pages.

Using an email software system such as, or mailchimp.

com, allows you to gain more accurate data as to who has looked at what and when.

Plus, it facilitates better management of the data as people can automatically subscribe

or unsubscribe to your mailings.

Analytics provided through email software include a large amount of data in terms

of who received the email and the action they took as a result. Table 13.7 shows the

type of email analytics data available.

Table 13.7 Email analytics data available

Data provided What this means

Total recipients Total number of people that the email was sent to

Successful deliveries The total number that the email actually got through to

Bounces The number of people (a) whose mailbox is full – this is a soft bounce – or (b) who

have left the organisation or deleted the email account – this is a hard bounce

Times forwarded How many times the email was forwarded to others

Forwarded opens How many of those who received the forwarded email opened it

Recipients who opened The details (email addresses) of the people who received the email and

opened it

Total opens The number of people who received the email and opened it

Last open date The last time the email was opened – this indicates the ‘shelf life’ of an email


Recipients who clicked The details (email addresses) of the people who received the email, opened it

and clicked on one of the links in the email

Total clicks The total number of clicks

Last click date The last time someone clicks – this often happens when someone thinks ‘I saw

that recently’ then they search through their emails to find the link to click

Total unsubscribers The number of people who unsubscribed following this email

Total abuse complaints The number of people who reported this as spam – too many of these and you

won’t be able to send any emails

Email software systems provide summary reports that show the number of success-

ful and unsuccessful deliveries, whether the email was forwarded and the number

of unsubscribers. These systems can include integration with social media so that

newsletters, offers or other information can be shared across social media platforms

at the same time. There is also research into why email works (see Figure 3.3 Why

email works, on p. 58).


There are options to test and review the data to see what worked within email software

delivery systems. One popular option is A/B testing. which has long been available

as a concept in traditional marketing. In the email software systems you can create

headline A and headline B, issue both newsletters and the systems will send headline

A to 10% of the audience and headline B to another 10% of the audience. Based on

your definition of success, whether that’s number of opens, click-throughs or other

conversation mechanism, the system will automatically send the most successful

email to the remaining 80%.



Apoorv Durga, a marketing analyst, has created a useful, two-page ‘Guide to email marketing

and marketing automation tools’, published in EContent (Durga, 2015).

Although it’s a few years older, the article ‘Web advertising: The role of e-mail marketing’ by

Fiona Ellis-Chadwick and Neil Doherty is useful as a framework for what works (Ellis-Chadwick

and Doherty, 2012).



Search engine marketing (SEM), pay per click (PPC) or search advertising analytics

allow you to see the results from paid adverts when visitors are searching online (see

Chapter 3). The different SEM metrics that are used include:

• Clicks: The number of people who clicked on the ad and then to your website.

• Impressions: The number of people who were shown your ad.

• Average CPC: The average cost per click.

• CTR: The number of people who click on your ad from the number of people

who saw your ad. For example, the ad was shown to 1000 people and 100 clicked

on the ad, so that’s a 10% CTR.

• Conversions: The number of people who took an action (sign up, downloads, form

submissions app download, newsletter registration, enquiry form completed, live

chat session, customer feedback, ratings, reviews, contact us).

• Conversion rate: The percentage of people visiting your site and completing a

conversion action.

• Cost per conversion: The cost per conversion action.

Like Google Analytics, Google Ads provides campaign overviews that show the clicks,

impressions and average CPC in one page. And whilst we mainly refer to Google Ads

because it is the leading channel, there are alternatives, including:


• Bing Ads

• Yahoo

• Amazon

• Directories such as TripAdvisor®, Yelp

• Social media ads such as Facebook, LinkedIn, Twitter, Pinterest, Snapchat (see

the previous section on social media analytics)

Google has set the benchmark and most online advertisers follow their systems as

this is where most people learned how to use SEM. And they have made it easy, as

reporting on SEM and PPC metrics often takes place automatically. You set up your

reports and run when needed!

Case Example 13.2 Bidding on

Competitors’ Trade Names

Interflora® is a flower delivery network that allows you to call one florist and get flowers delivered

by another in the network. They have agreed flower ranges and set processes, which are methods

of guaranteeing brand consistency. Interflora® is also a registered trademark and in May 2008 UK

retailer Marks & Spencer used Google Adwords to bid on the word ‘Interflora’.

Understandably the team at Interflora® were very unhappy and legally challenged Marks &

Spencer in court for infringement of their trademark. Interflora® argued that the adverts misled the

public (they could be tricked into thinking that Interflora® flowers were available form Marks & Spen-

cer), it increased the price of the advertising as a bidding war started and it damaged their brand. A

five-year battle took place and Interflora® finally won the court case at the European Court of Justice.

Generally in the UK we avoid tactics of naming competitors in adverts and this had applied to

bidding for ads online. We tend to think that this is unacceptable behaviour even though it is common

practice in countries like the United States.

Two points to note from this:

• Firstly, if you are working somewhere and the organisation is being challenged by competi-

tors, it is wise to gain formal trademark registration to protect brand assets, especially in a

world-wide online environment. This is probably better managed through a trademark spe-

cialist as there are no worldwide trademarks – you need to register in specific locations, such

as the UK, Europe, the United States and Japan.

• Secondly, if you are on a placement year and, as you are the digital marketing person, they

ask you to bid on a competitor’s brand or name, think carefully – it could all end in court!

Case Questions

• If working on placement, how would you manage a request from a manager to bid on a com-

petitor’s name?

• What other options might be available?



Content analytics considers qualitative as well as quantitative factors. Qualitative

measures include analysing key words in the text as well as the sentiment or the

feeling of the person communicating the message. Quantitative measures of content

are also known as glottometrics, which include word length, word order, richness of

vocabulary and word frequency. Beyond glottometrics, other quantitative measures

for content include: the volume of terms mentioned, the reach of the message (how

far it spread) and the number of clicks on links, photos, videos or other material.

If you are exploring an organisation’s use of social media, you might also consider

the message type, which may include: brand awareness; product awareness; cus-

tomer service; engagement; corporate social responsibility; promotional or seasonal

messages (Coursaris et al., 2016).

You may wish to measure paid media, owned, shared media or earned media (see

Chapter 4, Content Marketing).

Smartphone Sixty Seconds® –

Instant Engagement Metrics Score

Likealyzer is a free content metrics overview tool from the analytics reporting company Meltwater.

You can use this to gain an overview of how well (or how badly) content on Facebook pages works.

1. On your mobile phone log in to Facebook.

2. Go to

3. Add in the name of your favourite shop’s Facebook page (or somewhere you may be working).

4. What are the results for the response and engagement metrics?

5. How do these compare with others in class?

6. What are the recommendations for improvement?


When you have captured your data, it is time to consider reporting. From an early

age everything we do is reported: school reports, subject performance reports and

end of year reports. These reports are often attached to performance or grades which

are entered into a report that is shared. It’s no different at work. When you carry out

any marketing activity it has to be measured, monitored and reported, regardless of

the organisation type. For example:

• Companies with shareholders have to create and share annual reports, interim

reports, statistics, presentations, press releases and other knowledge-based



• Universities create and share their strategy for people, education, research and

innovation, the corporate plan, financial review and results.

• Charities create and share their annual report and accounts, strategic plans and


All this information requires knowledge and data. It can be too late if you reach the

end of the year and start to gather the data because:

• The organisation may have performed worse than expected.

• There may be issues that have been missed.

• They may have outperformed competitors.

• Urgent actions may be required due to the results of some data.

Think about your university grades and how you might wait until the end of the year

before realising action is needed. This is why it is critical to collect the data on an

ongoing basis, to anticipate requirements in the organisation and take the necessary

action as soon as possible.

Options for reporting are varied and depend upon (a) legal requirements for a meet-

ing; (b) audience type; (c) time available to organise; (d) amount of detail to share;

and (e) required action after the meeting. There are variations in reporting formats,

from those that need to take place in person or where either written or visual material

will be needed, as well as the type of written or visual material that will be needed

to support the data delivery.

Although the report design depends on the audience to be addressed, the most fre-

quently used internal data delivery system has become the dashboard. According to

researchers Ginger Killian and Kristy McManus, ‘Social media dashboards can enhance

the impact of content posted on a given platform and provide metrics to compare

effectiveness across platforms’ (Killian and McManus, 2015, p. 547). Dashboards

are often internal visualisation systems to see how key metrics are performing, at

a glance. This data can subsequently be embedded into other report formats. Let’s

explore dashboards further.




Koen Pauwels and colleagues defined the marketing dashboard as ‘a relatively small collection

of interconnected key performance metrics and underlying performance drivers that reflects

both short- and long-term interests to be viewed in common throughout the organization’

(Pauwels et al., 2008, p. 7).


In all types of vehicles, from motorbikes and cars, from boats to aircraft, dashboards

have been a common feature. They let you know the amount of fuel, your speed

and indicate if there are any issues such as lack of oil or light bulbs have failed. In

recent years dashboards have become more sophisticated and often include average

fuel consumption, outdoor temperature and elapsed journey time. The purpose of

these functions is to inform and make you aware, so that you can re-fill with fuel

before running out, slow down in traffic and ensure the vehicle is maintained.

Dashboards are visual information systems enabling users to immediately see the

overall situation.

In situations where there is an urgent or critical need to see key information quickly,

dashboards can literally save lives. They are popular in hospitals and medical facilities

for this reason and are used in many other different situations, including airports,

stock markets, call centres and retail goods stores.

Dashboards have further evolved in digital environments, and if you use a smart band

or watch, you are wearing your health dashboard which tracks your activity level,

breathing rate and even your sleep cycle!

The reason for their popularity in marketing was summed up by Koen Pauwels and

colleagues who stated: ‘Dashboards respond to the increasing complexity and diver-

sity of market data faced by senior management in the information age’ (Pauwels

et al., 2009, p. 176). If you think back to the concept of big data and the many differ-

ent types of metrics we explored earlier in this chapter, you might start to agree that

a dashboard provides the essentials for busy marketing managers.


Dashboards are not without flaws and whilst they have many benefits, there are dis-

advantages too. Advantages of dashboards include: a consistent set of metrics, which

is useful for comparable analysis and enables teams to measure agreed actions and

activities. You can see trends and make changes faster. Plus, dashboards save time

by gathering all information in one place and there is faster reporting as the focus

is on the key metrics. Two critical factors are that dashboards enable teams to focus

on what matters and can help set goals.

Disadvantages of dashboards include: they might display smaller amounts of data

and mislead the overall picture. There can be a tendency to focus on the numbers

(what) rather than reasons (why) and they may provide a simplistic overview rather

than the in-depth detail that may be needed. Plus they can become a support system

rather than an enabler.

The critical factor is ensuring the dashboards are not just watched, but action is

taken and discussions about the content take place too. Looking at this we can see

that the Plan–Do–Check–Act (PDCA) cycle (see section 13.1 above) starts to become

more important.

Michael Krush, from North Dakota State University, and several colleagues reviewed

the use of dashboards for business and concluded that they were relevant to the man-

agement team and their value was the ability to increase the speed of implementing

strategy (Krush et al., 2016). The question is, what’s needed in a dashboard?
























































































































When creating a dashboard you need to consider the essentials:

• What type of dashboard is needed?

• Who is the audience?

• Where is the data?

In terms of type of marketing dashboards, there are three main options:

• Strategic: Focusing on larger organisational goals such as total monthly sales

value, number of customers that month

• Tactical or project focus: Showing status of campaign with details such as conver-

sion rates, number of shares, email marketing results, adwords performance

• Operational: Aiming at specific business activities such as number of outstanding

responses, number of orders to despatch

As an example, Figure 13.5 shows a strategic dashboard aimed at executives which

focuses on the performance of the sales team and the sales results.

Factors to consider when creating a dashboard

When creating dashboards, you need to consider the audience and their requirements.

Senior executives may require specific data. Marketing teams may be more interested

in the granular detail of how content is performing.

Where the data is located can be a challenge; you don’t want to create the task for

yourself of trying to pull data from many sources. This is why so many commercial

systems have evolved – all the data is pulled into one location. It is important that

the data is accessible and integrated. Koen Pauwels and his colleagues recommended

that dashboards should be integrated on three levels (Pauwels et al., 2008):

• Integration of data – taking and combing data from diverse sources

• Integration of processes – relating inputs and outputs

• Integration of viewpoints – enabling different teams to share and see the same data

Building a dashboard

Having agreed the audience, the source of the data and the type of dashboard, the

next step is confirming what data is needed. This data contributes to the success of

the dashboard and must include the metrics required by the team.

Having considered, discussed and agreed the metrics it’s time to build your database.

You can do this in spreadsheet programs like Excel or Sheets, but it will take some

time. It is easier to obtain marketing software to trial how it works.

Commercial software has grown dramatically and Table 13.8 shows some popular

options. Some have a free function with limited detail and many include a trial ver-

sion. In terms of budgeting, most are paid for on a per user, per month, licence basis.








































































































l d











































































































































































































































































































































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Table 13.8 Management and dashboard systems

Company Web address Free version available

Crimson Hexagon

Cyfe Yes

Dash Yes

Freeboard Yes

Hootsuite Yes



Qlik Yes

Tableau Yes

Most of these systems are available online and can be used at any time from any

device. The key is identifying the metrics that matter!

Introduction of the dashboard

Introducing any new software is fraught with difficulties and it is therefore impor-

tant that the introduction of a dashboard is successful. In another research project,

Koen Pauwels and colleagues proposed a framework for the adoption and success

of dashboards, shown in Figure 13.6. This starts by considering the demand side

(1), who wants and will use the dashboard. The next factor is the dashboard func-

tionality (2), followed by joining up the demand and supply sides (3). The next step

is implementation and getting different people involved and testing before a launch

through the use of prototypes (4). Psychological factors follow, with how users feel

about the idea of a dashboard (5), and finally its adoption and success (6). These

last factors resemble elements of the Technology Acceptance Model (see Chapter 2).

If these steps are not followed and a dashboard simply imposed on a team it will be

less likely to work, resulting in another failed software investment!


1. For an organisation of your choice evaluate the current metrics used. Identify

why the metrics were selected and why they are used.

2. For an organisation of your choice create a dashboard that illustrates the metrics

that matter.

3. For an organisation of your choice recommend metrics to measure customer

acquisition and retention. Consider what the chosen organisation needs to meas-

ure and any benefits or drawbacks of carrying out this measure.



This chapter has explored:

• How to use the Plan–Do–Check–Act (PDCA) cycle to ensure you are using the

right metrics.

• The move from traditional to digital metrics.

• What metrics matter, with examples of weak, acceptable and strong metrics.

• Web analytics, with the key Google terminology.

• The potential metrics in social media, email and content.

• Benefits of types of reporting, with examples of how dashboards can help.







When you have read this chapter, you will be able to:

Understand integrated marketing communications to digital marketing

Apply the IMC framework

Analyse elements of competitiveness

Evaluate the impact of cross-platform integration

Create the 9 steps to digital transformation



When you have worked through this chapter, you should be able to:

• Use heatmapping tools

• Perform website usability analysis

• Create a plan for digital transformation


Once metrics have been considered, the next stage is improving aspects of digital

marketing. This chapter shows the factors involved in these elements and adds to the

theory as well as showing you the different marketing models around integration and

how to assess digital skills within an organisation.

The last part of the chapter explores digital transformation and the steps required. If

you cannot move beyond step 1, the project is unlikely to succeed. If you do progress

through the steps, you will learn more about the path to superior firm performance,

taking the organisation into an entirely different league.


Having considered different aspects of digital marketing, it is time to join up and

connect with traditional marketing practices. Some organisations separate teams into

digital and marketing rather than embracing a holistic approach across the firm, which

I will discuss around the concepts of digital transformation.

Digital marketing has a direct impact on integrated marketing communications

(IMC) (see Key Term) as the customer controls the brand rather than the company.

Customers can write about every aspect of their brand experience – from how the

website works, the shopping process, and of course, any complaints are shared online.

Customers discuss and comment about the convenience of the deliveries available and

then as the package arrives, they record the ‘unboxing’ process to share with their

own audience. This is often followed by a review of further feedback at a later stage.

All customers are now influencers and, as mentioned in Chapter 2, one organisa-

tion that recognised this is Adidas which created specialised and exclusive content

for their micro-influencers (The Tango Squad) to partially retain control and better

understand where their brand is being discussed.



For the definition of IMC I have looked at the specialist journal the International Journal of

Integrated Marketing Communications, and the review undertaken in 2009 which looked at


the main descriptions and argued the case to use the explanation proposed by the same

author in 2008:

IMC is an audience-driven business process of strategically managing stakeholders,

content, channels, and results of brand communication programs. (Kliatchko, 2009, p. 9)

When running campaigns we know that we need a range of communications methods

to have a greater impact and at the same time we need to ensure the messages don’t

clash with each other and create cognitive dissonance (see Key Term – cognitive

dissonance, p. 266). This is about ensuring the advertising appeals are integrated,

regardless of platform (see Key Term – advertising appeals in Chapter 11). We are

aware that communications focus on appeals to the audience which usually fall into

two areas: emotional and rational. Table 14.1 shows more details with examples of

where they are used.

Table 14.1 Message appeals applied to digital marketing

Appeal type Explanation Examples

Emotional: Value-

expressive or

symbolic appeal

• Building a ‘personality’ for

the product

• Creating an image of the

product user

• Clothing brands portraying their users across

social media

• Influencers such as Lucy and Lydia use

emotional appeal to engage their audience.

They sell a lifestyle and have created their own


Rational: Utilitarian

(functional) appeal

• Focusing on key benefits

• Highly functional, factual

• Informational advertising

• Sports goods focusing on functionality in

online ads

• YouTube education videos that focus on ‘how to’

Integration of traditional and digital marketing activities is essential to ensure an

organisation presents a clear, credible and consistent plan to its target audience. But

it’s not just about integrating the marketing activities, it’s about combining or joining

up or incorporating all aspects of marketing into the business unit.

Integrated marketing communications or IMC is just one element of marketing to be

addressed. It’s the most popular as it’s often responsible for the most externally vis-

ible outputs, such as communications and campaigns.

Whilst the definition of IMC revolved around brand communication programmes,

the newer definition included the notion of content as a pillar of IMC (Kliatchko,

2009). This aptly named article, ‘IMC 20 years after: A second look at IMC defini-

tions’, discussed how content is ubiquitous (available anywhere, at any time), can be

collaborative and recipients can also be the content creators. It’s difficult to integrate

content from your customers, although not impossible (see Case Example 14.1).


Case Example 14.1 Vanish

‘Tip Exchange’

The worldwide consumer goods company Reckitt Benckiser uses customers as the heroes with one of

its products, Vanish stain remover. The company encourages and integrates user-generated content

through the YouTube ‘Tip Exchange’, where real-life customers post advice to other consumers about

how to remove stains from clothing.

Users submit their video via Facebook or a dedicated country website such as

tip-exchange in the UK; there are other sites for Germany, France and Spain. Some light touch edit-

ing takes place by Reckitt Benckiser, who add the brand logo in the corner of the video, as shown in

Figure 14.1. These ads are used across multiple channels: TV, YouTube and magazines.

Figure 14.1 Vanish Tip Exchange example

Case Questions

• Those submitting videos gain the thanks of a grateful audience, some products as a reward,

but no formal payment. What do you think of the ethics of companies benefiting from user-

generated content?

• Why do you think the user-generated content works within IMC?

• Imagine that you are a brand manager for a consumer product such as washing powder.

How could you better integrate advertising using digital marketing?



Writing in the Journal of Marketing, Professors Rajeev Batra and Kevin Lane Keller

reviewed earlier research into IMC and noted how marketing has evolved from initial


methods of mass market communication via broadcast TV advertising to a ‘much richer

array of communications possibilities’ and more personalised communications using

social media (Batra and Keller, 2016, p. 122).

Whilst they initially included consistency and the ability to deliver the same key mes-

sages, regardless of platform, this was not included within the final model, as they

stated that the recognised recurrence of the concept of consistency throughout all

aspects of communications and wider integration had been sufficiently researched.

Their research highlighted seven factors within integration, which, as is usual in

marketing, is an alliterative model and is shown in Table 14.2.

Table 14.2 The 7Cs of integration

Element Explanation

1. Coverage The percentage or proportion of target audience reached by the communication

2. Cost Working to the best value and testing options to maximise the budget

3. Contribution The impact of the communication and the results generated for the organisation

4. Commonality The degree to which different options share the same meaning

5. Complementarity The extent to which the organisation delivers the same messages across platforms

and harnesses the platform’s strengths and weaknesses

6. Cross-effects Using different communications options that interact and bring synergy

7. Conformability How well a specific communication option works for a specific target audience and

how it conforms to the needs of that consumer group

The 7Cs of integration is a useful checklist when retrospectively reviewing an online

campaign. You wouldn’t know how many people were reached until the campaign

started and the impact wouldn’t be clear until the end. This framework is useful as

a benchmark to compare different digital marketing campaigns.

Professors Batra and Keller remarked how research into IMC has tended to be focused

in certain areas, probably due to the researchers’ own interests or knowledge. They

placed IMC within the customer journey (see Chapter 2 for examples of customer

journeys) and also noted that traditional models such as AIDA are no longer adequate

for the complex paths to purchase customers take in today’s digital environment.

They suggested that communication goals should include several stages, as shown

in Figure 14.2.

Some of these goals are fairly traditional, such as (1) create awareness, (4) build trust,

(5) elicit emotions and (6) inspire action.

To instil loyalty (7) is a big request, especially in a digital environment where product

pricing is transparent and where consumers may experience flow when using social

media, discover and subsequently purchase an alternative product, perhaps uninten-

tionally (for more on the flow construct see Chapter 7). It is widely recognised that

brand loyalty is valued by brands due to repeat purchasing power.


1. Create


2. Convey



3. Create

imagery and


4. Build


5. Elicit


6. Inspire


7. Instil


8. Connect


Figure 14.2 Communication goals

Source: Adapted from Batra and Keller, 2016, pp. 131–2

Researchers Ana Margarida Gamboa and Helena Martins Goncalves explored customer

loyalty through social networks, using the fashion store Zara and their Facebook page

as examples (Gamboa and Goncalves, 2014). They concluded that loyalty online was

driven by customer satisfaction. We know that online satisfaction is often achieved

via the speed of response (Istanbulluoglu, 2017), so perhaps item (7) instil loyalty

should be ‘drive customer satisfaction with speedy responses’.

To connect people (8) is facilitated by digital environments where consumers can ask

questions, answered by other consumers – this is typically how customer support

on Apple products works. In a business to business environment connecting people

is normal, as it is when buying major purchases such as a house, car or other high-

value item, which requires the purchasers to be present and greater connection with

sellers to take place.

In other objectives, Batra and Keller have blended, or mixed, emotional and rational

appeals such as (2) convey detailed information, which is a rational or functional

appeal and is situated next to a partly emotional appeal, (3) to create imagery and

personality. The key here is that some of these goals may be relevant or irrelevant at

different times for different campaigns.

Figure 14.2 should be considered as a framework, rather than a rigid model to fol-

low, step by step. It should be adapted based on the organisation type, the message

platform and the audience. For example, it is difficult to get emotional about a











































































































































































































































































































































































































































































































































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government service such as the passport office. It is needed but may not be loved,

and loyalty does not feature as there may be no choice.

Based on these goals, as an overarching theme, Batra and Keller created a concep-

tual framework for IMC, which is shown in Figure 14.3. This considered the major

communication platforms, the communication outcomes and objectives as well as the

stage of the consumer decision journey. This is a useful integrated framework and,

again, some elements may or may not be relevant to the organisation.

This conceptual framework is in three parts, with major communication platforms

at the top level, the stages of consumer decision journey at the bottom and the com-

munications outcomes and objectives in the middle.

As an integrated model, the major communication platforms encompass both tradi-

tional and digital communications.

Advertising, which could be online or offline, is seen as playing a role at the start to

create brand awareness. Sales promotion, which includes vouchers, offers and trials,

could be a clever way to convey detailed information and the platforms used will vary,

as it is difficult to contain significant amounts of information in, say, a Facebook ad

or a Twitter post, but it could contain enough to take the target audience to a landing

page where more information is available.

The next element, events and experiences, can be more complex for smaller organi-

sations and it is worth remembering that in their examples the professors looked at

major car brands, which clearly have major budgets.

PR and publicity can take place both online and offline and is still a mechanism to

build trust. Again, using major car brands as the example, they probably engaged

PR companies as well as having in-house teams, so this may not be possible for smaller

organisations that may need to adopt a self-service approach to online PR, creating

their own news stories and posting to various blogs.

Online and social media is positioned as a method to generate emotions, followed

closely by mobile, to generate action. This very much depends on how the mobile

marketing takes place (see Chapter 6) and how the consumer receives this. The final

stages are direct and database marketing to instil loyalty or some form of response,

which we could describe as retention.

The model concludes with personal selling in order to connect people. I am not sure

that personal selling could be scaled in a digital environment. For example, imagine

that you have 50,000 online customers. Would they all need a personal visit?

On the lower level in Figure 14.3, the stages of the consumer decision journey (see

Chapter 2, The Digital Consumer) move through the usual problem recognition, to

trust and willingness to pay (WTP), then towards the commitment or purchase, satis-

faction and advocacy.

The IMC conceptual framework shown in Figure 14.3 is a useful blueprint to capture

all aspects of marketing communications within an organisation and ensure it is all

connected. Although application to organisations may need adapting based on its

nature and size, this framework is a practical checklist to confirm that all elements

of the customer journey are captured.



Consistency is a core theme within marketing integration, and it means ensuring the

service or offer, the message and any promotions are consistent, regardless of chan-

nel. When constructing a mission or vision statement, there should be consistency.

Changing company direction on a regular basis confuses staff, customers and other


In 1995 Amazon created its vision statement as ‘to be Earth’s most customer-centric

company, where customers can find and discover anything they might want to buy

online, and endeavors to offer its customers the lowest possible prices’ (Amazon Inc.,

2017). Amazon started with a bold vision as they weren’t aiming for customers located

only in their home country of the United States, but across the globe. It wasn’t just

about books – their initial product offer – this was about anything a customer might

want online. This vision still holds true today and has remained consistent for over

20 years.


Being competitive means having an advantage that is difficult for competitors to copy.

Researchers Varun Grover and Rajiv Kohli explored hyper-competitive conditions

and suggested there were three aspects within competitive value (Grover and Kohli,

2013, p. 656): (a) software; (b) processes; and (c) information.

• Competitiveness from software:

� The world’s largest taxi firm, Uber, doesn’t own a single vehicle – they have

clever software that matches drivers to passengers.

� The world’s largest accommodation agency, Airbnb, doesn’t own a single

hotel room – they have clever software that matches hosts to guests.

• Competitiveness from processes:

� The world’s largest retailer, Amazon, doesn’t own a single product – they

have clever processes that match buyers to sellers, facilitate easy purchasing

with the one-click to buy now and encourage customers to pay in advance

for delivery with Prime. This results in customers using the platform for all

shopping requirements.

• Competitiveness from information:

� One of the world’s largest social networks, Facebook, helps sellers specify

exact buyer types based on user profiles and behaviour – their source


Grover and Kohli’s work was based on creating digital business strategies and

mashing up aspects of the business to identify where the opportunities existed,

which may include sharing aspects of the business processes, which in the past

was unheard of.


The challenge with competitive advantage is described by the Dutch university teacher

Anne-Madeleine Kranzbühler and her colleagues as potentially ‘marginal, subject to

change and open to imitation’ (Kranzbühler et al., 2018, p. 433), which is why organi-

sations need a clear purpose to become and remain successful.

14.4 THE 4CS OF


The 4Cs of marketing communications is a valuable framework for assessing the

integration of campaigns as well as considering the organisational vision, and in mar-

keting – as you may have discovered – we are fond of alliterative models. Another 4Cs,

focused on cross-platform integration, is suggested by Dr Ginger Killian and Dr Kristy

McManus, who described the need for Consistency, Customization, Commitment and

Caution, which were centred around integration across marketing channels (Killian

and McManus, 2015) and are shown in Table 14.3.

Table 14.3 The 4Cs of cross-platform integration

Element How this is applied

1. Consistency All actions must be consistent across all channels, for example the same brand

personality should be visible and discernible in all channels

2. Customization Social media can be used to customise campaign messages and the brand must

understand which channels are being used and for what purposes. The brand might

use Instagram for a specific audience and newsletters for another

3. Commitment When selecting new social media channels, brands need to be clear about their

purpose and commit to adopting and using the channel which means frequent content

and communication and ensuring there is a connection between the channels and the

brand’s goals

4. Caution Organisations are often cautious about fully integrating all aspects of social media,

such as building in reviews and enabling customer comments to be heard on their sites.

A policy is needed to understand how and when responses are provided, as well as the

tone of voice used when replying to comments, compliments and complaints

Activity 14.1 Assessment of the 4Cs

of Cross-Platform Integration

• Using Table 14.3 as a framework, select a brand of your choice and assess how the organisation

applies the 4Cs of cross-platform integration.

• Look at various sources, from their website to social media, as well as searching for the brand

name with ‘+ complaint’ or ‘+ fail’ in the search terms. This should provide you with information

about the brand from the organisation, its customers and unhappy customers too.

• You should note the level of integration across the channels to see if it is consistent, customised

on different channels, whether the brand is committed to regular content and responses and

if the tone of voice used in complaining situations echoes the rest of the content or adopts a

different tone.


Once a plan has been created, data has been gathered and you are seeing that

improvements are taking place, it’s time to consider specific actions to improve

digital marketing.



The thread that connects or integrates all aspects of marketing is the customer jour-

ney and it seems logical that as an initial step to improving tactics we might decide

to conduct user journey analysis.

Norwegian researchers Ragnhild Halvorsrud, Knut Kvale and Asbjørn Følstad (2016)

explored customer journey analysis (CJA) procedures and identified five phases.

Considering their approach as similar to taking on a project, they started with phase 1:

overview and scope, agreeing the reasons why the analysis was needed; what had

happened and who would be involved. It may be that it is only one aspect of a website

that will be explored, or if social shopping, just one channel.

In phase 2 they mapped out what was believed to be the planned journey. This can

often be discovered by those who created the website as they may have been given

this information at the start. A linear customer journey, which is simplistic but plausi-

ble, may include: step 1 reads social media post; step 2 visits website; step 3 explores

products; step 4 makes purchase; and step 5 writes online review.

Phase 3 starts to involve customers and data. Tools that can help with this include:

• Review of web analytics data to see where customers entered and abandoned

the website, which pages were viewed and which were ignored and these issues

are covered in Chapter 13, Marketing Metrics, Analytics and Reporting.

• Online surveys to ask why customers didn’t buy from you today.

• Live chat analysis to read the conversations and see where customers dropped

out of the user journey.

• Heatmaps (see Key Term) which show where on the web page visitors are click-

ing, and equally what they’re ignoring!

• Usability analysis (see Key Term) to see how well the website does or doesn’t



Heatmaps visualise where someone looks on a web page with colours graded from looking

here a lot (red) to glanced at this section (blue). Researchers Mariusz Trojanowski and Jacek

Kułak provided a useful definition of heatmaps as ‘graphical representation of data with colors,



showing which part of the page is scanned by the user most frequently and different metrics

such as bounce rate’ (Trojanowski and Kułak, 2017, p. 110). Figure 14.4 shows an example of

a heatmap.

Figure 14.4 Example heatmap



Digital Tool Heatmaps

Explore these heatmapping tools:



As an alternative, Openheatmap allows you to upload Excel or other spreadsheet data that contains

location information to create your own heatmap. You can visit the site and use the sample data they

provide to see how it works:



Usability analysis considers how well a website does or doesn’t work. Writing in the Journal of

Computer Information Systems, researchers James Cappel and Zhenyu Huang discussed how

web usability concerned ‘the importance of clarity, simplicity, and consistency in web design so

that users can perform desired operations efficiently and effectively’ (Cappel and Huang, 2007,

p. 117). Although this article was published over a decade ago, it is still valid and described all

aspects of web usability, many of which we take for granted today, such as a site search facility.


Dr Jakob Nielsen registered many patents on ease of website usage. He was one of the pio-

neers who explored the concept of usability.

To discover more, read his book Designing Web Usability and visit his website, www., which includes more depth on usability (Nielsen, 1999, 2012).

Digital Tool Usability Tools

A US government website is dedicated to usability. See for a glossary and details

about the benefits as well as key issues when designing a website.

Whilst heat mapping, usability analysis and analysing the data can provide some

answers and can tell you what has happened, it may not be able to explain why. As an

example, Figure 14.5 shows an actual customer journey, based on looking at the ana-

lytics and seeing the funnel or path customers took once in the website.

It is more likely customers will need to be involved to acquire additional qualitative

data to understand why specific actions were taken. Halvorsrud and his colleagues

recommended that customers kept diaries, which may not be practical or possible

in some cases, so you may decide to use online chat and surveys as alternatives. For

example, one way of doing this is to gain volunteers at university, book a computer

lab and ask them to perform a task on a website, such as buying a specific product.

They are monitored performing the specific task and all steps are noted. The downside

is that the test group may bear no resemblance to the actual users, in which case the

findings could be erroneous.


Step 1

reads social

media post

Step 2


brand name

Step 3



Step 4



Step 5

looks at


Step 6


reviews on

the site

Step 7



Step 8




Figure 14.5 Actual customer journey

The final phase is capturing all the data and summarising it into a report for those

involved in phase 1. This also provides a benchmark from which the organisation

can measure future customer journey analysis.


Whilst you may be at university learning digital marketing skills, there are many

non-trained and traditionally trained marketers. This means that there may be an

argument to upskill existing teams.

Across Europe there are efforts to improve digital capabilities. One driving factor in

the UK is the government’s strategy ‘digital by default’ (Cabinet Office, 2012), requiring

citizens and businesses living and operating in the UK, where practical, to request

and file all information online.


Digital transformation is the process of moving an organisation from a traditional

marketing focus to one that embraces digital business. This does not mean the organi-

sation ceases any traditional activities, but instead focuses on the activities that most

closely meet the customers’ requirements.

There have been several examples of well-known and long-established companies

that ignored the move to digital and subsequently failed. How many of the companies

in Table 14.4 still exist on the high street?

At the same time, there have been companies that have embraced digital marketing,

usually after an incident, and succeeded (see Case Example 14.2 JetBlue becomes

the digital hero).


Table 14.4 Companies failing to adopt digital business

Failed business Digital disrupter that precipitated the failure

Blockbuster, the video chain. The idea was that you

visited the store and collected your video. Do you still

have a VHS machine?

Netflix – an idea that developed when one of the

team was fined for returning a video too late. Netflix

has evolved over time

Kodak films and cameras. How many in your class

own a real camera?

The rise of digital photography and smartphone


Comet, the electrical retailer selling electrical goods

in store

The growth in online shopping and price comparison


Smartphone Sixty Seconds® –

Seeking Disrupters

Using your mobile phones:

• Search for ‘disruptive brands’

• Pick one disruptive brand

• In which sector are they based?

• Which companies will they most disrupt or damage in the next 12 months?

• Share findings with classmates.

Case Example 14.2 Jetblue

Becomes the Digital Hero

JetBlue has a mixed history within social media. It had major difficulties one Valentine’s Day, when

passengers were stranded on a plane for nine hours whilst de-icing equipment was sought.

This was the moment the company adopted digital marketing and its CEO publicly apologised via

YouTube. After this event the firm developed its own bill of rights and automatically provides details of

compensation (Kaplan and Haenlein, 2011) and uses Twitter as a customer service platform, allowing

staff to display personality and use humour. The transformation that’s taken place is demonstrated

by the language in these tweet responses:

@NAME Bummer! We’re hoping it is back on soon!

@NAME We love you back 

@NAME Glad to hear someone is liking it!  

Case Questions

• Consider a time when you complained via social media. How did the organisation respond?

• Were there any surprises in terms of the tone of voice used, or the format of the response?

• What organisations can you identify which have transformed their business via digital marketing?


The key to digital transformation is leadership. The CEO or MD has to want to make

the change. If they don’t want to make the change or if they won’t support the actions,

it’s very unlikely that it will succeed.

Writing in Strategy and Leadership, Saul Berman, who has explored the subject of

digital transformation for some years, suggested three main approaches (Berman,

2014, p. 18):

1. Focusing on customer value propositions.

2. Transforming the operating model.

3. Combining those two approaches by simultaneously transforming the customer

value proposition and organizing operations for delivery.

Berman discussed ways to ‘enhance, extend and redefine’ the customer value propo-

sition which may involve providing additional features online that may be free or

chargeable, as well as reviewing the core business offer (Berman, 2014, p. 19). He rec-

ommended that the approach taken depends on the industry, the competitors as well

as the product and service offer. None of this is surprising, but look back at Table 14.4

and reflect on those companies that ignored all the warnings, saying it would never

happen in their sector …



Read the full article by Saul Berman, ‘Digital transformation: Opportunities to create new busi-

ness models’, in the journal Strategy and Leadership (2014). Although published a few years

ago, it is still valid.



As a university student and later as a graduate in digital marketing you may be given

a role to introduce digital tools into the business. It is often the case that younger,

newer staff are given responsibility for social media in different formats, especially if

you have a digital marketing qualification. You may also be asked to help introduce

digital working practices into the business and to encourage others to use social

media. The challenge you will face is that whilst being given an interesting project,

you may not have all the authority to make this happen, so you will need to adopt

influencing skills. Part of this may involve using the Technology Acceptance Model

(see Chapter 2) to better understand where roadblocks may occur. You may also need

to introduce a social media policy or at least raise awareness of what could happen

(see Digital Tool: Social media policy maker in Chapter 11).




The issue is, how do you start the process? The critical factor is to start with evidence

and to involve others in the process. The 9 steps to digital transformation are:

1. Find the advocate

2. Create an online customer journey

3. Construct the customer experience

4. Map the digital toolbox

5. Review content assets

6. Identify community support

7. Identify the strategic options

8. Create a strategy

9. Pause and present the strategy

Step 1 – Find the advocate

When embarking on any new project, to get commitment for future actions and also

to ensure it is successful, you need an advocate, supporter or project champion. This

is often a senior person who might be in the marketing department, but they might

not be. It is important that the advocate has some authority or power and is able to

persuade or influence others.

For example, if one of the drivers for the project is about cost saving, find the finance

director, as he or she may have a vested interest and may be willing to support

the project.

In not-for-profit businesses, one of the trustees may be willing to help. There may

be a well-respected trustee who could be shown the potential benefits or who may

be recommending this course of action. Check the minutes of recent meetings to

identify the advocate.

If you don’t have the advocate, it can be difficult later in the project. You might also

ask others in the organisation ‘who would be interested in this type of project?’ and

they may be able to make useful suggestions.

Step 2 – Create an online customer journey

When the advocate has been identified, you need to ensure that you have evidence

to support future recommendations. A useful mechanism for this is to start with the

online customer journey (see Chapter 2, The Digital Consumer).

But don’t do this alone! Involve others in the organisation and ask if they could help

and do the same. Gather these together and compare the journeys. In an ideal world,

get those who helped into the same room at the same time and from this create a


single agreed journey. At this stage you have included other team members, and

as they have contributed some content they have a greater interest in how this will

be used.

At the same time you should create a customer journey for the top two or three com-

petitors. This can often be the lever that makes things happen as there is a need to

stay up to date with, or ahead of, the competition.

Step 3 – Construct the customer experience

Using the customer journey as your foundation, the next step is to construct the

customer experience from start to finish. This helps to identify other partners that

may need to be involved in the process of digital transformation. It also allows you

to make contact and gain their opinions too.

Step 4 – Map the digital toolbox

It is worthwhile looking at the current activities and how they apply to the customer

journey. Some may be relevant, some less so. Mapping all items in the toolbox pro-

vides an indication of where the organisation is right now. It is a useful snapshot to

see the digital tools that are or are not used.

Work through Activity 14.2 to apply the digital and traditional marketing tools to the

customer journey.

Activity 14.2 Construction of the

Integrated Customer Journey

For an organisation of your choice, select one action (e.g. making a purchase, registering for a webi-

nar, downloading a report). From this construct all stages of the customer journey and identify the

different tools used at the different steps in the journey.

When this has been completed, make recommendations to better integrate the customer journey.

Step 5 – Review content assets

One of the fears when working on digital transformation is that all current work-

ing practices will be ignored or removed. One of the factors you will have noticed

throughout this book is that content will be required at every step of the journey.

Organisations often have vast content assets, yet they don’t realise what’s there. It’s

important to review the current content as a useful way to understand what the organi-

sation has available when making future plans. Look back at Chapter 4 (section 4.6)

and conduct a content audit to identify what is available.


Step 6 – Identify community support

Online communities can talk about organisations, their products and services, as well

as generating new ideas. It is also a useful lever to positively encourage organisa-

tions to adopt elements of social media which they may have previously ignored. I

remember working on a digital project and an organisation advised me that they had

no need for Facebook and their customers would never use it. I had to explain that

they already had nine separate Facebook pages, being run by brand advocates who

sadly couldn’t use Photoshop and had wrecked their logo! Their options at that time

were to continue to blissfully ignore these pages, or to create an official page and

ensure the brand advocates were aware of and mentioned this on their pages. We

could also provide the advocates with properly sized logos so the online brand image

met the brand standard. I am glad to say they decided to create an official page and

today they have over one million fans online.

Review whether the company has any online communities, whether formal or infor-

mal, and if yes, identify where they are located as this is a great story to share with

the organisation: ‘We may not be online, but our customers are, perhaps we should

join the party?’

Step 7 – Identify the strategic options

The organisation needs to understand where digital fits into the business. In an ideal

world it is simply part of the business, but at this stage it may be a new idea. Let’s

imagine it is a new idea and there is already a strategy in place. Using the evidence

gathered in steps 1 to 5, look back at Chapter 9 on strategy and objectives to easily

identify the strategic options for the business.

Step 8 – Create a strategy

Once the options have been identified, select two or three which are easiest to gen-

erate quick wins and refer back to Chapter 9 to build your recommended strategy.

Step 9 – Pause and present the strategy

At this stage you need to pause and to share the evidence gathered and present the

strategy. There is no point spending time creating objectives and a plan if the senior

management team has not seen the evidence and don’t agree with the strategy. The

most effective way to do this is to speak with your advocate and ask if you could

both meet a few of the senior management team and ‘ask for their opinion’. Share

some of the evidence and say you are thinking about recommending the follow-

ing strategy. This allows you to test the likelihood of the recommendations being

adopted. This could result in several outcomes:

• The advocate can organise the meetings, which work well and result in the adop-

tion of all recommendations.

• Meetings are organised with some members of the senior management team and

some recommendations are adopted.


• The senior management team is unwilling to adopt any of the ideas, in which

case a meeting is required with the advocate and the CEO to agree the best way

to move forward.

• Alternatively it could be an unexpected response or a mix of these possibilities!

Activity 14.3 Organise the 9 Steps

to Digital Transformation

Using the 9 steps to digital transformation, for an organisation of your choice, organise a plan of

where they are on the journey of digital transformation.

What has been completed or needs to be done?

See Template online: Organise the 9 steps to digital transformation

Ethical Insights Digital Transformation

Via Robots

Employing people is expensive. They need salaries, pension contributions, time off for holidays, and if

they are sick someone else has to cover their work and you still have to pay them! Sounds outrageous?

Many companies agree and this has created digital transformation projects where robots will step in.

Robots don’t take time off, they don’t need an office, they don’t take tea breaks, they work any hours

they are programmed for and when they cease functioning, there is no pension, just a recycling plant.

Senior business leaders recognise the benefits, but also the downside. Bill Gates has suggested

that a robot tax should be introduced, partly to protect staff and to ensure companies don’t replace

them all with machines.

Whilst this may seem like a story from a sci-fi movie, the future is already here, as the telecoms

company Nokia is working on a smart factory that includes ‘Robot2robot collaboration and machine

learning’ (5GFWD, 2017).


When you graduate if you land yourself that amazing role where an organisation has

already embraced digital marketing, you may wish to move beyond digital transfor-

mation towards ‘superior firm performance’.

In 2016 the Journal of Marketing’s special issue considered the future of market-

ing, and writing in their introduction, three very well-known marketing professors,

V Kumar (he is known as ‘V’), Kevin Keller and Katherine Lemon explored the


boundaries of marketing (Kumar et al., 2016). Within their article they provided a

‘path to superior firm performance’ which I have included in Figure 14.6 and which

is based on integrating all aspects of marketing.




in �rms


value to

and from



the power

of data













the value of


Figure 14.6 Path to superior firm performance

Source: Kumar, Keller and Lemon, 2016, p. 2

The first step to create marketing excellence, via the path to superior firm per-

formance, started with the 7As in the marketing strategy process: Anticipation,

Adaptation, Alignment, Activation, Accountability, Attraction and Asset management

(Moorman and Day, 2016). This is an alternative method of a marketing strategy

process where anticipating is about the application of the audit phase, so that the

marketing team is aware of what could happen and when it does, respond by mov-

ing to step 2 (where are we now) and adapting the firm by aligning processes and

activating the right types of behaviours. Accountability concerns the metrics, and

attraction is more about staff retention than customer retention. The final ‘A’, asset

management, considers all types of assets from content to people and customers.

The second element in Figure 14.6 is measuring or understanding customer value.

This is more contentious and a subject that has been covered in marketing many

times. Kumar and Reinartz (2016) use the idea of recency and frequency (how often

do I spend money there) as well as total value and share of wallet. The conclusion

focused on customer lifetime value, which I have discussed in Chapter 13, Digital

Marketing Metrics, Analytics and Reporting.

The third element in Figure 14.6 is enhancing the customer experience, which is a

critical part of the customer journey (see Chapter 2) and I would agree that this is a

key starting point in any digital transformation project because it places the organi-

sation in the customer’s shoes and highlights the ease or difficulty created by the

organisation in conducting a transaction.

The fourth element in Figure 14.6, analytics, is a critical part of marketing which we

addressed in Chapter 13. This is the one area most employers say is the largest gap

for new graduates!

The fifth element in Figure 14.6 is about integrated marketing communications, which

we have covered in this chapter. Professors Batra and Keller’s 7Cs of integration in

Table 14.2 is a useful framework for integration.


In Chapter 11 we covered comprehensively how to manage social media and Chapter 3

explained the different tools that are available and addressed the sixth element in

Figure 14.6.

The final stage in the path to superior firm performance concerns demonstrating

the value of marketing. This is a thorny subject and one covered well by professors

Dominique Hanssens and Koen Pauwels in their consideration of the use of dash-

boards (see Chapter 13) to visually display the impact of marketing results (Hanssens

and Pauwels, 2016). The real benefit of digital marketing is the ability to measure,

better manage and adapt as needed, to realise the value of marketing and make it

obvious to others.


1. What is your experience of cross-media effects? Think about an ad campaign you

have recently seen and identify what types of ads you saw and where. Discuss

and evaluate the differences in the ad formats.

2. You have acquired some knowledge about integrated marketing frameworks.

Using one of these frameworks, take an organisation of your choice and pro-

duce an integrated marketing plan that addresses all methods of communication

throughout the customer journey.

3. Design a digital transformation plan for an organisation of your choice. What

do you consider to be the main challenges? How and where will you find the



This chapter has explored:

• How to integrate online and offline marketing using the 7Cs of integration.

• Ways to assess cross-platform integration.

• Methods of improving digital marketing from heatmaps to usability analysis.

• The 9 steps of digital transformation.


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acquisition, conversion and retention (ACR)

framework, 236, 236, 237, 244

Adame-Sánchez, C., 58–59, 58

Adidas, 44–45, 340

Adjei, M.T., 137

AdMob, 166

Adner, R., 5


integrated marketing

communications and, 346

mobile marketing and, 161–169,

162, 163, 164, 166, 168

See also social media advertising

advertising appeals, 264–265, 341, 341

Advertising Association, 91

AIDA (Awareness, Interest, Desire, Action)

model, 161

Airbnb, 230–231

Ajzen, I., 28

Alder, J., 60

Alshaal, S.E., 189

Alt, F., 44–45

alternative facts, 66

#AMA (Ask Me Anything),

216–217, 282–283, 283

Amazon, 211, 245–246, 247, 259, 347

Ambler, T., 310, 311–312

analytics. See digital marketing metrics,

analytics and reporting

Anderson, C.K., 319

anonymity, 129

Ansoff, H.I., 228

API Microelectronics Ltd, 285

Apple, 177, 200

apps, 170–176

Argos, 145–147

Argyris, Y.A., 276

Argyros, G., 156

Armitage, J., 171

Armstrong, A., 131, 132, 133

Arnould, E.J., 233

ASOS, 222, 222–223, 252–253, 252–253

audit frameworks

competitor review and, 217–221, 220, 221

contents of, 208–215, 209, 214

customers and, 215–217, 216

macro-environment analysis and,

222–223, 222–223

objectives and, 207–208, 241

role and importance of, 206–208, 207

augmented reality (AR)

application of, 192–199, 194,

194–195, 197, 199

computer-mediated communication theories

and, 182–183

concept and evolution of, 183–184, 183

devices for, 199

future of, 200–201, 200

Aurasma, 201

Avery, J., 139

awareness, 106–107, 108, 235

Azuma, R.T., 184

Baby Boomers, 11

Bacev-Giles, C., 129–130

Bain & Company, 12, 13

Balasubramanian, S., 152–153, 152

bar code scanners, 156

Bardhi, F., 34, 233

Bareket-Bojmel, L., 130–131

Barrett, N., 119–121, 120

Barth, S., 136

bashtags, 68, 69

Batra, R., 342–346, 359

Bazilian, E., 8–9

Belk, R.W., 233

Ben-Miled, Z., 281–282

Benlian, A., 214

Berelson, B., 6, 8

Berman, S.J., 354

Berners-Lee, T., 52

Bhalla, V.K., 78

big data, 16–18, 189, 324

Bilos, A., 327–328

Bing, 153

Bitcoins, 20–21

Bitner, M.J., 42–43, 246–248

Blanc, X., 244, 244

BLE (Bluetooth Low Energy), 177

Blippar, 201

Blockchain, 20, 21–22

Blogger, 79

blogs, 53, 79–80, 81, 112, 138

BNY Mellon, 21

Boohoo, 252–253, 252–253

Booms, B.H., 246–248

bots (clickbots), 167

Botsman, R., 233

Bourdieu, P., 127

brand communities, 134



brand visibility, 96

Branson, R., 22

British Airways, 220–221, 221

Brodie, R.J., 290

Brown, S., 228

Brown, T., 297

Bruns, A., 115, 278

budgeting, 260–262, 267

buffer, 98

Burt, G., 222

buyer journey, 36

CACI, 18

Cacioppo, J.T., 161–163, 162

Camadan, F., 82

Campbell, A., 172

Canhoto, A.I., 288

Cappel, J.J., 351

Cave Automatic Virtual

Environment systems, 192

Chaffey, D., 244–246

Chalfen, R., 159

channel selection, 264

Charlesworth, A., 209–215, 209, 214

Chartered Institute of

Marketing, 207, 229

Chen, Y.A., 327

Cheng, J., 83

Cheng, M., 319

Cherbakov, L., 272

Choudhari, K., 78

Choudhury, M.M., 318

Christie, B., 274

Christoph, M., 40

citizen journalism, 65, 67–68, 71

click fraud, 167

clickbots (bots), 167

cloud, 26–28

Coca-Cola, 237

cognitive dissonance, 266, 341

Coles, B.A., 82

collaborative consumption, 233, 234

communications, 212

communications teams, 300

communities, 126–127, 129–131.

See also online communities

communities of fantasy, 133–134

communities of interest, 132

communities of practice, 132

communities of relationship, 133

communities of transaction, 132–133

community feedback, 145–150, 147, 148, 149

competition, 211–212

competitiveness, 347–348

complaints, 145–150, 147, 148, 149

computer-mediated communication (CMC)

theories, 182–183. See also media richness;

self-disclosure theory; self-presentation

theory; social presence theory

connecting media, 33

consideration, 235

consistency, 212–213, 347

Consult Hyperion, 21

consumer behaviour, 265

consumer decision journey, 36,

238–241, 238, 239, 346

consumer journey, 36. See also online

customer journey

consumer power, 31–32, 32

consumerism, 25–28, 26, 28.

See also digital consumer

consumption communities, 134

content analytics, 331

content assets, 117

content audits, 116–117, 356

content calendar, 110–111, 143

content curation, 105

content farms, 97

content gating, 118, 119

content management, 110–111,

117–119, 119, 289–290

content management systems (CMS),

117–118, 119

content marketing

best practices for, 121–124, 121–123

BEST principles for, 119–121, 120

concept of, 96

content audits and, 116–117

content management and, 117–119, 119

functions of, 96–99, 98

history of, 99–100

POSE model and, 113–116, 113

Content Marketing Institute (CMI),

101, 101, 110

Content Marketing Pyramid, 105, 105

content marketing strategy, 101–113,

101–104, 105–109, 112–113

Content Marketing Strategy

Framework, 101, 101

Content Maximiser, 122, 122

content measurement, 112, 112–113

content sample, 116

control. See digital marketing metrics, analytics

and reporting

convenience, 210–211

conversion, 235

conversion content, 107–108, 108

conversion rate optimisation (CRO), 97

Conway, K., 66

cookies, 41–42, 44, 168, 214, 321

Cooper, T., 80, 81

coordination, 214–215

COPE model, 122, 122

Corcoran, S., 113, 114


corporate culture, 210

cost per acquisition, 261

cost per action (CPA), 76, 92

cost per click (CPC), 76, 92

cost per follow (CPF), 92–93

cost per thousand (CPM), 75–76, 92

cost per view (CPV), 76–77, 92

Couldry, N., 105

Court, D., 238

Cox, M., 17

creative content, 213

creative offer and

messaging, 264–265

crowdsourcing, 307–308

Crowston, K., 115

Cruz-Moya, O., 155

Csikszentmihalyi, M., 199

cuelessness model, 182–183

Culiberg, B., 68

Curata, 105, 105

customer experience (CX),

36, 37–40, 38–39, 247, 356

customer influence value (CIV), 318

customer journey analysis (CJA),

349–351, 350, 352

customer journey mapping, 36, 37

customer knowledge value (CKV), 318

customer lifetime value (CLV), 318, 359

customer referral value (CRV), 318

customer retention, 108–109, 109

customer service encounters, 36, 37

customer service tools, 291–292, 292

customisation, 213–214, 214

cyber addiction, 190

cyber bullying, 82–83, 129

cyber whistle-blowing, 303

cyberaggression, 303

cyberdeviancy, 302–303

cyberloafing, 303

Daft, R.L., 275, 275

Dai, W.D., 78

daily active users (DAUs), 325

Dao, D., 67–71

dark social, 40, 44–45

Daswani, N., 167

dating sites, 134

Davis, F.D., 28–31, 29

Dawkins, R., 85

De Cremer, D., 16

de Jong, M.D.T., 136

degrees of separation, 45–46, 86

deliberate and emergent strategy, 240

demand-side platform, 168–169

dematerialisation, 27

Deming, E., 310

demographics, 84, 84, 103, 103

Demtrio, T., 70

Denso Wave, 178

diffusion of innovations, 7–8, 7

digital 7 Cs for competitor evaluation, 215

digital application of the 7Ps,

251–252, 252–253

digital behaviour, 31–35, 32

digital clutter, 34–35

digital consumer

degrees of separation and, 45–46

digital behaviour and, 31–35, 32

evolution of, 25–28, 26, 28

new technology and, 28–31, 29, 30

online customer journey and, 35–45,

38–39, 41, 42–43

digital disruption, 12–14, 13, 240. See also

Internet of Things (IoT)

Digital Economy and Society Index (DESI), 46

digital immigrants, 11–12, 11

digital management and admin roles, 298–299

digital marketing

digital transformation and,

352–360, 353, 359

evolution of, 52–54, 53–54, 54

improvement of, 349–351, 350, 352

integration with traditional marketing and,

340–349, 341, 342, 344–345, 348, 359

key concepts in, 4–22, 5, 7, 10–11, 13, 15

digital marketing budgets, 260–262, 267

digital marketing human resources, 297–303,

297–298, 301–302

digital marketing metrics, analytics and


apps and, 174–175

audit frameworks and, 208, 215

content analytics and, 331

digital marketing plan and, 258

email analytics and, 327–328, 328

key concepts and issues in, 310–320, 311–

312, 314, 316–317, 320

reporting and, 331–336, 334, 336, 337

search engine marketing and, 329–330

social media analytics and, 324–327,

325–326, 326

web analytics and, 320–324, 321–322, 325

digital marketing plans

budgeting and, 260–262, 267

digital application of the 7Ps and,

251–252, 252–253

impact and effort matrix and, 268, 268

objectives and, 243, 250–251

one-page digital marketing plan and,

251, 253–257, 253–257

process of, 262–268, 262–263, 267

reasons for, 250

resource planning and, 257–260, 258

steps and elements of, 250–257

digital marketing teams, 300

digital natives, 11–12, 11


digital teams, 300

digital transformation, 352–360, 353, 359

Direct Marketing Association (DMA), 55

disintermediation, 21, 22

disruptive marketing, 211–212

distributed ledger technology (DLT). See


Dobele, A., 80, 81

double deviation, 148–149, 149

Downes, L., 12

Drossos, D.A., 179

Dru, J.-M., 211

dual screening, 33

Duane, A., 279–280, 279–280

Dye, J., 12

e-marketing, 52

earned media (won media), 114

eBay, 133

Eckhardt, G.M., 34, 233

Econsultancy, 236, 236, 237

Edelman, 210

education, 195–196

elaboration likelihood model (ELM) of

persuasion, 161–163, 162, 164

electronic word of mouth (eWOM), 282

Ellsworth, D., 17

Eltoria, 9–10

email, 53, 55–60, 56, 58

email analytics, 327–328, 328

employee training programmes, 286

engagement, 290

Esen, R., 209–215, 209, 214

Eterovic-Soric, B., 157

European Union (EU), 19, 46, 103

evangelism, 234, 235–236

evergreen content, 109, 289

eWOM (electronic word of mouth), 282

experiential values, 193–195, 194, 194–195

extended marketing mix (7Ps)


advertising and, 90–92, 93–94, 123

metrics and, 313, 326, 326

origins and development of, 81, 271, 272

real name policy by, 85

virtual reality and, 200

Facebook Messenger, 86

Fagnot, I., 115

fake news, 66

Fang, A., 281–282

Faust, F., 184

Festinger, L., 266

Fishbein, M., 28

Fishkin, R., 297, 298

flow, 199, 343

Følstad, A., 349, 8

Ford, J.B., 211

Forrester’s 5 Is, 218, 219–221, 220, 221

Fotopoulou, A., 105

4Cs of cross-platform integration, 348–349, 348

Fournier, S., 139

Foursquare, 178

freelancers, 258–259

Friedmann, A., 93

full content inventory, 116

Gamboa, A.M., 344

games, 198–199, 199

Ganley, D., 129, 130, 132, 144

Gates, B., 96, 358

Gatwick Airport, 197, 197

Gaudet, H., 6, 8

Gay, R., 209–215, 209, 214

General Data Protection Regulation (GDPR),

19, 57, 84, 165, 189, 287

Generation C, 11, 12

Generation X, 11

Generation Y, 11

generational cohorts, 11–12, 11

Gensler, S., 114

Gentile, C., 37–38, 40

geo-marketing, 177–178

Ghose, S., 213–214

Gilly, M.C., 135

glottometrics, 331

Godes, D., 131, 137

Goffman, E., 130

Goncalves, H.M., 344


apps and, 171

content farms and, 97

metrics and, 314, 319

search marketing and, 71–72

ubiquitous computing and, 153

virtual reality and, 200

Google Ads, 77, 329–330

Google Alerts, 212

Google Analytics, 97,

174, 322–323, 324

Google Expeditions, 196

Google generation, 11

Google Glass, 159, 193

Google Trends, 236

GoPro, 159

GPS technology, 156, 157

Granger, C.H., 241

Granovetter, M.S., 86, 126–127, 143

Gray, D., 268, 268

Gregoire, Y., 147, 147

Grewal, D., 164–165, 164

Grover, V., 347

Guadagno, R.E., 134

Gudivada, V.N., 72

Guttentag, D.A., 185


hacking, 303

Haenlein, M., 273, 274, 275–276

Hagel, J.I., 131, 132, 133

Haji, R., 129–130

Halvorsrud, R., 349

Hanssens, D.M., 359

Harrigan, P., 318

hashtags. See bashtags

Haven, B., 218

heatmaps, 349–350, 350

hedonic consumption, 25–28, 131, 194

Heeter, C., 188–189, 189

Heilig, M.L., 188

Hendriks, M., 102

Hennig-Thurau, T., 282

Henshaw, V., 188

Herring, S., 82

Hirschman, E.C., 26

Hofacker, C.F., 63, 189

Hoffman, D.L., 273

Holbrook, M.B., 26

Homburg, C., 137, 144

Hooley, T., 53

Hornik, J., 282

Howells, J., 20–21

HTML (hypertext mark-up language),

72–73, 73

Huang, C.Y., 158

Huang, Z., 351

hybrid apps, 170

iBeacons, 177–178

Ibrahim, N.F., 137–138, 144

IKEA, 195

impact and effort matrix, 268, 268

implantables, 158

impression fraud, 167

in-app purchases, 153

industrial internet of things (IIoT), 16–17

insights, 326

Instagram, 81, 272–273

Integra Gold, 307–308

integrated marketing communications (IMC),

340–349, 341, 342, 344–345, 348, 359

integrated marketing teams, 300

integration, 266

Interactive Advertising

Bureau (IAB), 273–274

interactivity, 122–124, 123, 187–190,

188, 189, 326

Interflora, 331

Internet Gaming Disorder (IGD), 190

Internet of Things (IoT), 14–17, 15

internet relay chat (IRC), 183

Ives, B., 272

Jain, D., 319

Jenamani, M., 213–214

Jetblue, 353

John Deere, 99–100, 100

Johnson, G., 304

Jussila, J., 277–278, 278

Just Eat, 239–240

Kannan, P.K., 41–42

Kao, Y.S., 158

Kaplan, A.M., 273, 274, 275–276

Kapoor, R., 5

Katz, E., 6–7, 8

Keller, K.L., 342–346, 358–359, 359

Kelly’s Mountain Brew, 107, 107

Kemp, N.J., 182

Kent, M.L., 69

Kerin, R.A., 227

Key Performance

Indicators (KPIs), 313, 314

Kibel, B., 37

Kiesler, S., 183

Kietzmann, J.H., 83, 85

Killian, G., 332, 348

Kim, J., 135

Kim, J.W., 129

Kirchner, T.A., 211

Kishino, F., 183, 185

Klaus, P., 40

Kliatchko, J., 340–341

Kohli, R., 347

Kokko, L., 244, 244

Kotler, P., 226, 228

Kozinets, R.V., 131

Kranzbühler, A.-M., 348

Krueger, M., 192

Krums, J., 65

Kruse, S.A., 134

Krush, M.T., 333

Kucuk, S.U., 18

Kulak, J., 349–350

Kumar, V., 227, 358–359, 359

Kvale, K., 349

Lake, C., 77

Lampe, C., 129, 130, 132, 144

Lave, J., 132

Lazarsfeld, P.F., 6, 6–7, 8

Leitch, S.R., 210

Lemon, K.N., 35, 38–40,

38–39, 358–359

Lengel, R.H., 275, 275

Li, H., 41–42

Line, 296, 296

LinkedIn, 81, 85, 86, 126–127, 138, 272

liquid consumption, 31, 34–35, 233

Lockheed Martin, 191–192, 191

long-form content, 106

long-tail keywords, 97–98, 98

Loop, B.J.L., 280–281, 286–287


Luca, M., 78

Lunney, A., 158–159

Lusch, R.F., 218–220

Macmillan Cancer Support, 109

macro-environment analysis,

222–223, 222–223

Madrigal, A.C., 44

Majchrzak, A., 272

Malyshev, A.G., 280–281, 286–287

management and reporting tools, 290

manufacturing, 197–198

MAOSTIC model, 207–208, 229

marketing dashboards, 332–337,

334, 336, 337, 359

marketing mix objectives, 246–248. See also

digital application of the 7Ps

marketing teams, 299–300

Marmite, 148–149, 149

Marriott, J., 53

Mars, 191–192, 191

Masur, P.K., 136

Mathwick, C., 193–194, 194

Mayzlin, D., 131, 137

McCann, 191–192

McCarthy, E.J., 246

McColgan, M., 172

McKinsey & Company, 36, 238–241, 238, 239

McManus, K., 332, 348

Mechanical Turk, 259

media meshing, 33

media planning and selection, 266–267, 267

media richness theory, 182, 275, 275, 276

medicine, 192–193

Mehmood, Y., 16

memes, 85

metrics, 310, 311–312. See also digital

marketing metrics, analytics and reporting

Meyer, C., 38

micro-analysis, 208–209

micro-influencers, 8–10

Midlands Air Ambulance Charity,

291–292, 292

Mihelic, K.K., 68

Milgram, P., 183, 185

Milgram, S., 45

Milland, K., 259

millennials, 11

Mills, A.J., 89

Mintzberg, H., 226, 229, 240

Miquel-Romero, M.-J., 58–59, 58

mixed reality (MR)

application of, 195–196, 198–199

computer-mediated communication

theories and, 182–183

concept and evolution of, 183, 183, 185

devices for, 199

future of, 200–201, 200

mobile ad fraud, 167

mobile commerce, 153

mobile devices, 158–159

mobile marketing

advertising and, 161–169, 162,

163, 164, 166, 168

apps and, 170–176

ecosystem of, 152–161, 152, 158, 160

geo-marketing and, 177–178

integrated marketing

communications and, 346

QR codes and, 156, 178–179

searches and, 176

SMS text messages and, 179–180

Mobile Marketing Association (MMA), 153–154

mobile payments, 157, 158

mobile wallet, 157

mobile websites, 153–154

Mohapatra, P.K.J., 213–214

Molleda, J., 101

moments of truth, 40

monthly active users (MAUs), 325

Monu, K., 276

Moody, M., 281, 282, 283–284

Moran, S., 130–131

Moscatelli, J., 68

Mottner, S., 211

multi-touch attribution modelling, 319–320

multimedia message service (MMS), 179

music, 27

NASA, 186, 190–191

National Health Service, 285

native apps, 170

Naylor, G.S., 31–32, 32

Neill, M.S., 281, 282, 283–284

net generation, 11

Net Promoter Score, 217

news feed aggregators, 65, 79, 80

news sharing sites, 71

Nguyen, B., 16

Nguyen, L.T.V., 137

Nielsen, 18

Nielsen, J., 62, 64

9Ms (resource planning), 257–260, 258

Noble, C.H., 137

Noble, S.M., 137

Norton, D.W., 37, 43

Novak, T.P., 273

NPS (Net Promoter Score), 40


audit frameworks and, 207–208, 241

concept of, 226

context of, 242–243

digital marketing plan and, 243, 250–251,

253, 253–254, 263, 263, 266

digital transformation and, 357–358


hierarchy of, 241–242, 242, 242

models for, 243–246, 243, 244

See also marketing mix objectives

Objectives and Key Results (OKRs), 313

off-page search engine

optimisation (SEO), 74–75, 74

Office for National Statistics (ONS), 103

offsite analytics, 320–321, 327

Okdie, B.M., 134

on-page search engine optimisation (SEO),

72–74, 73

one-page digital marketing plan, 251, 253–257,


online communities

development of, 127–129, 128

digital transformation and, 357

management of, 141–150, 141, 142, 144,

147, 148, 149

role and importance of, 126–127

role of organisations in, 136–140

vs. traditional communities, 129–131

types of, 131–136, 134–135

online customer journey

best practice for, 43, 43

concept of, 35–43, 38–39, 41, 42

coordination and, 214

digital transformation and, 355–356, 359

mobile marketing and, 161

role and importance of, 44–45

See also consumer decision journey

online customer service

experience (OCSE), 36, 40, 41

online PR, 64–71

online reputation management, 19

online sales, 153

onsite analytics, 320–321, 327

Open Source movement, 33

opinion leaders, 7–10

O’Reilly, P., 279–280, 279–280

organic posts, 88

owned media (controlled media), 114

Padmanabhan, Y., 288

page tagging, 321

paid media (bought media), 114

Paid, Owned, Shared, Earned media (POSE)

model, 113–116, 113

paid search. See pay per click (PPC)

Parise, S., 102

partial content inventory, 116

path to purchase, 36, 40–42

Pauwels, K.H., 332, 333, 337, 359

pay per click (PPC), 72, 75–78, 329–330. See

also social media advertising

paywalls, 118, 119

Peelen, E., 102

people, 252, 252–253

personal selling, 346

personas, 62, 102–104, 103, 251, 254

PESTL (Political, Economic, Social,

Technological, Legal and Environmental)

framework, 222–223, 222–223

Petty, R.E., 161–163, 162

phablets, 158

Pham, M. T., 26

physical evidence, 252, 252–253

Pine, B.J., 37, 43

Pinterest, 273

place, 246, 247–248, 252, 252–253

Plan–Do–Check–Act (PDCA) cycle, 310–311,

311, 333

Plangger, K., 89

planned content, 109

planned emails, 57

POEM model, 113

Pokémon Go, 198

Porter, M.M.E., 226, 229

post-testing, 268

pre-testing, 267

Prensky, M., 12

pricing, 246, 247–248, 251

PRINCE2 (PRojects IN Controlled

Environments), 301

privacy, 18–19

privacy paradox, 136

processes, 252, 252–253

product, 246, 247–248, 251

produsers, 115, 278

programmatic advertising, 168–169, 168

promotion, 174, 175, 246, 247–248, 252, 252–

253, 262

prosumer, 31, 33

psychographics, 84, 84, 103

public relations (PR), 346. See also online PR

publicity, 346

Pulizzi, J., 119–121, 120

Putnam, R.D., 127

Quick Response (QR) codes, 156, 178–179

RACI (Responsible, Accountable, Consulted and

Informed) model, 301–303, 301–302

The Radicati Group, 55

RASCI (Responsible, Accountable, Supportive,

Consulted and Informed) model, 301,

301, 302

Rauschnabel, P.A., 198

Rawlins, B., 210

Reach, Engage, Activate,

Nurture (REAN), 244, 244

real-time bidding (RTB), 168

Reckitt Benckiser, 342, 342

Reddit, 216–217

Reinartz, W., 359

Relling, M., 134

reporting, 331–336, 334, 336, 337


resource-based theory (RBT), 295

resource-based view of the firm (RBV), 295

resource planning, 257–260, 258


concept of, 295–296, 296

digital marketing human resources and,

297–303, 297–298, 301–302

selection of, 304–308, 304, 305–306

retail, 193–195, 194, 194–195

re:Work, 314

Reynoldson, C., 172

Rheingold, H., 128, 129, 186

right to be forgotten, 18–19

risk management programmes, 281–283, 283

Rivera, M., 173

Robinson, J.P., 6–7

robots, 358

Rogers, E.M., 7–8

Rohm, A.J., 12

Rutter, D.R., 182

sales promotion, 346

Sánchez-Moya, A., 155

Sari, S.V., 82

Scharkow, M., 136

Schau, H.J., 135

scheduling tools, 289

Scholes, K., 304

Schwager, A., 38, 40

Screaming Frog, 117

search engine marketing (SEM), 72, 75–78,

329–330. See also social media advertising

search engine optimisation (SEO), 72–75, 73,

74, 97, 176, 323

Search Engine Results Pages (SERPs), 71

search engines, 53–54, 71–78, 73, 74

search marketing, 71–78, 73, 74

second screening, 31, 33

self-disclosure theory, 130, 135–136, 182,

275–276, 276

self-presentation theory, 130–131, 134, 135,

182, 275–276, 276

selfies, 155–156

Sell, Serve, Speak, Save, Sizzle (5 Ss) model,


sentiment analysis, 66, 67, 85, 288

SEO data tags, 72

service blueprinting, 36, 42–43, 42–43

Service Dominant Logic (SDL), 218–220


7Ps. See digital application of the 7Ps

Shahar, G., 130–131

Shankar, V., 152–153, 152

shared media (borrowed media), 114

Shewart, W., 310

short-form content, 106

Short, J., 274

showrooming, 31, 34

Simkin, L., 16

Singh, S.S., 319

six degrees of separation, 45–46, 86

SixDegrees, 46, 81, 271

Smart Cities, 16–17

SMART (specific, measurable, achievable,

realistic and timed) goals, 226, 242, 243

Smith, P.R., 244–246

Smith, W.R., 226, 228

smombie, 160

SMS text messages, 179–180

snackable content, 93, 106

Snapchat, 81, 93, 273

Snapchat Spectacles, 159

social capital, 126–127

social listening, 287–289, 288–289

social media

adoption and implementation of,

279–280, 279–280

advantages and disadvantages of,

82–83, 277–278, 278

building blocks of, 83–87, 84, 84

cost of, 88, 90

definitions of, 273

integrated marketing

communications and, 346

online communities and, 128, 134–136,


origins and development of, 46, 53–54,

81–82, 271–273, 271

types of, 273–276, 275, 276

utility of, 87–88, 88

social media advertising, 54, 90–94

social media analytics, 324–327, 325–326, 326

social media campaign planning, 262–267,


social media management

requirements for, 280–287, 283

tools for, 287–293, 288–289, 292

social media policy, 281, 284–286, 354

social media strategy framework,

234–236, 234, 253

social presence theory, 182, 274, 275–276, 276

sofalising, 33

solid consumption, 34

Song, H., 135

space, 191

space missions, 190–192

spam, 56, 60

specialist digital roles, 299

spillover effects, 42

Staniszewski, A., 317, 152

Steel, M., 80, 81

Steiner, G., 229

Steuer, J., 63–64, 123,

185, 187–188

Stoppelman, M., 167



audit frameworks and, 207–208

concept of, 226

digital marketing plan and, 250–251, 253,

253–254, 264

digital strategy models and, 232–241, 232,

234, 236, 237, 238, 239, 244

digital transformation and, 357–358

origins of, 227–228, 227

TOWS matrix and, 229–232, 229–230

traditional models of,

228–229, 228–229

See also objectives

Su, C.J., 327

Suitability Acceptability Feasibility (SAF)

framework, 304–308, 304, 305–306

Sullivan, D., 71

Sultan, A.J., 152

Sultan, F., 12

Sun Tzu, 227

Superdry, 120, 120

Swarm, 86

T-shaped web marketer,

297–298, 297–298

tactics, 226

Target, 287

Taylor, M., 69

Technology Acceptance Model (TAM), 28–31,

29, 30, 153, 198, 337, 354

Technology Readiness Level (TRL), 186, 186,


technology substitution, 5–6, 5

Tekula, M., 297, 297

telepresence, 63–64

Ten Cs of marketing, 209–215, 209,

214, 218, 219–220

textese, 155

Theory of Reasoned Action, 28

Thomas Cook Group, 197

tie strength, 86, 126–127, 143

timing, 266

Toffler, A., 33

topical content, 110

TOWS matrix, 222, 229–232, 229–230

travel, 196–197, 197

Travers, J., 45

triggered emails, 57–58

TripAdvisor, 118–119, 119

Trojanowski, M., 349–350

trolling, 82–83, 129

Tumblr, 79

24/7 news, 65–68


advertising and, 90

citizen journalism and, 65

as customer service system, 138

digital strategy models and, 240

Forrester’s 5 Is and, 220–221, 221

metrics and, 313, 327

online community management on,

141, 141, 145–147

origins and development of, 81, 272

terms of service and, 285

United Airlines and, 68–71, 69

two-step flow theory of

communications, 6–7

ubiquitous computing, 4, 26, 153

uninvited brand, 138–139

United Airlines, 67–71, 69

United Nations (UN), 103

updates, 174

urchin tracking module (UTM) parameters,

323–324, 325

usability analysis, 349, 351

user-created content (UCC), 115

user experience (UX), 247

user-generated content (UGC), 32,

33, 114–116, 342, 342

user journey mapping, 36, 37

utilitarian consumption, 26–28, 131, 194

valence, 282, 284

vanity metrics, 314, 315

Vargo, S.L., 218–220

Verhoef, P.C., 14, 34, 35, 38–40, 38–39

video adverts, 78

virtual reality

application of, 190–197, 191,

194, 194–195, 198–199

benefits of, 200

computer-mediated communication theories

and, 182–183

concept and evolution of, 183,

183, 184–187, 184–185, 186

devices for, 199

future of, 200–201, 200

vividness and interactivity in,

187–190, 188, 189

vividness, 122–124, 123, 187–188, 188, 326

Voorhees, C.M., 37

Vuori, V., 277–278, 278

Wales, J., 66

Wang, J., 173, 174

Waters, J.A., 240

wearables, 158–159, 160–161, 160

Weaver, K., 168

web analytics, 320–324, 321–322, 325

Web Analytics Association, 320

web apps, 170

web scraping, 18

web server log files, 321


webographics, 84, 84, 103, 264

webrooming, 31, 34

websites, 53, 60–64, 61, 153–154

weekly active users (WAUs), 325

Weihrich, H., 229–232, 229

Weinrich, A., 46

Weiser, M., 4

WELL (Whole Earth ’Lectronic Link), 128

Wellens, J., 53

Wernerfelt, B., 295

West, M., 82

WhatsApp, 86

Wheeler, E., 246

whistle-blowing, 68

Whittington, R., 304

Wikitribune, 66

Williams, E., 274

wireframes, 172–173

WordPress, 79

Work Wallet, 175–176

World Bank, 152

Wyner, G.A., 318

YouTube, 81, 272, 313


Amazon company continue…

Project Milestone 3Assignment

Top of Form

Bottom of Form

For the approved company and topic, Milestone 3 expands further into the elements of the internal and external analysis and factors facing the strategy. In addition, Milestone 3 outlines the various techniques and approach to fix the strategic issue.

What to deliver in Milestone 3:


Digital Marketing Strategy Framework: Page 281 of the textbook outlines the 4 steps of the framework: Awareness, consideration, conversion, and enthusiasm. Using the textbook guiding points, your job is list 2-3 key factors your digital strategy will be built within this framework. Answering how  customers will gain awareness, what is their considerations, how will this strategy drive conversion and overall enthusiasm for the brand. 


REAN framework: Page 292 discusses this framework, Reach, Engage, Activate, Nurture. Conduct this type of analysis and include a chart with speaker notes identifying the key takeaways from this assessment. 

3. Analysis conclusion: Provide a slide with a final conclusion overview and forward-thinking approach on what lessons were learned from conducting bothtypes of analysis? What takeaways are needed for the digital marketing team to ensure that when building the strategic objectives and marketing tactics in the next milestone need to be considered?

This section should be 5-8 slides approximately. Each slide should have minimum 4-5  speaker notes at the bottom. References and sources should be properly cited where needed. Any power point template, font type is fine. The slides however need to be executive presentation format. Milestone 3 will be given feedback after it’s deadline and a grade. For the 

FINAL project

 submission in the final week of the term, any Milestone 3 feedback from the instructor must be addressed and updated for the final submission.

This is due by Friday of Week 6 by 11:55PM CST.

TJ 4

Project Milestone 1

TJ Smith

MKT 5260.E1

Professor Dr. Kyle Allison


Project Milestone 1

Selected Company and Product/Service for the Project

The company that I desire to work on in this project is Amazon. The service that I will focus on is e-commerce.

Synopsis of the Company and its Targeted Customers

Amazon is a multinational technology company, which has various businesses including e-commerce, digital streaming, and cloud computing. Amazon’s e-commerce platform is referred to as the Amazon Marketplace. This platform enables third parties to sell products at a fixed price alongside the regular offerings of Amazon. According to Wells, Danskin, and Ellsworth (2018), Amazon’s targeted customers are comprised of the upper and middle-class consumers who own smart devices or home computers. These individuals mostly fall between the ages of 18 and 44 years. 60 percent of the target market is made up of people from the United States (Terry-Armstrong, 2019). Additionally, Amazon’s targeted customers are individuals who prefer online shopping due to its competitive prices, fast delivery, and convenience compared to the traditional brick-and-mortar stores (Wells, Danskin, & Ellsworth).

Real-World Marketing and Business Challenge

A real-world marketing and business challenge that Amazon is currently facing is the growing competition in the e-commerce space. Before th