snippets from the eGuide   (Introduction ⇩)

(Introduction ⇧)

In the age of analytics, this multimedia platform serves as a comprehensive guide to marketing management, covering the underlying concepts and their application. As can be seen from the snippets, the focus is not on the statistical theory, but more on the application of new analytics techniques and established research methods to enhance the marketing mix.

As advances in technology transform the very nature of marketing, there has never been greater need for marketers to learn marketing.

Essentially a practitioner’s guide to marketing management in the 21st century, the Marketing Analytics web learning platform blends the art and the science of marketing to reflect how the discipline has matured in the age of analytics.

Application oriented, it fuses marketing concepts with the analytical tools that practitioners use, to impart an understanding of how to interpret and apply research information and big data.

The focus is primarily on the practical application of well-established tools, techniques and processes, as the platform sifts through all elements of the marketing mix.

eLearning Platform

Over 100 Registered Corporations: If your organization is listed, register with your corporate email to use the online guide.

It is only apt that a book on Marketing Analytics should exemplify the use of digital technology. Unlike passive eBooks that replicate print versions in their original linear state, the online guide is a full-blown, multi-media platform that greatly enhances the reader’s experience.

As a website, it is dynamic, fluid, and connected with relevant and useful content, both within and beyond the platform. That it is continually updated and enhanced, keeps the guide evergreen, abreast of the latest developments in a the rapidly evolving fields of analytics and digital marketing. (In addition to numerous updates, over 100 new sections and four new chapter have been added, in the two years since the platform was set-up).

It is interactive with the facilities such as (shareable) notes/comments at any of the approximately 500 sections in the guide. The question papers/exercises allow subscribers to view answers and explanations. The site also supports business analytic platforms so that students can practise as they learn.

The online guide is made available on an annual subscription basis. Subscribers login with their email ID and password.


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Advertising Analytics

“Advertising people who ignore research are as dangerous as generals who ignore decodes of enemy signals.” — David Ogilvy

In the 19th century John Wanamaker lamented: “Half the money I spend on advertising is wasted; the trouble is I don't know which half”. Since his time, and especially during the latter half of the 20th century, many theories and models emerged that have enhanced our understanding of advertising and its impact. Yet uncertainty still clouds advertising to a great extent. Yet uncertainty still clouds advertising to a great extent, and the complexity of evaluating advertising has increased with media fragmentation and the proliferation of online and conventional platforms.

Advertisers are essentially interested in knowing who their audience is and how the audience engages with their ad campaigns. As depicted in the Exhibit, there are three facets that collectively yield the knowledge and information that the advertisers are seeking:

  • audience measurement

    ,
  • engagement measurement

    and
  • market response modelling (aka market mix modelling)

Exhibit   Advertising effectiveness.

Market response modelling is covered in Chapter Market Mix Modelling. It is pertinent, however, to point out that in the context of advertising ROI, market mix models tend to be far from perfect. This is because the impact of advertising on sales is primarily long lasting, and despite the use of stock variables and dynamic effects, these models are not particularly good at capturing long term effects. So while the models are able to capture the impact of the persuasiveness of an advertisement, I believe they are less proficient in assessing how advertising helps to sustain and grow brand loyalty over the years. In this regard, engagement measurement provides for a better assessment.

This chapter dwells on audience measurement and engagement measurement. Audience measurement is a fast changing field. In the past it was confined to silos — primarily TV, press and radio. With the onset of online advertising another silo was added — digital. And as content is increasing viewed across screens, multiplatform measurement tools that measures total audience are increasingly being demanded by media owners and advertisers.

We know that advertising works in many different ways. And marketers’ objectives on the engagement they desire from their audiences, vary substantially depending on the nature of the product, its lifecycle, brand history, corporate priorities, competitive environment and a host of other factors. Their objectives must be keenly considered while evaluating advertising, as was highlighted by a consortium of 21 leading U.S. advertising agencies.

This consortium which assembled in 1982, released a public document that laid out the Positioning Advertising Copy Testing (PACT) principles on what constitutes good copy testing. PACT stressed the need for multiple measurements — “because single measurements are generally inadequate to assess the performance of an advertisement”. It emphasised that a good copy testing system should provide measurements which are relevant to the objectives of the advertising, and that there was need for clarity and agreement about how the results will be used in advance of each specific test.

The key themes that shed light on advertising were reviewed in Chapter How Advertising Works. According to those themes, the success of advertising hinges on its ability to generate salience, persuade consumers, differentiate from competitors, generate affinity for the brand, associate the brand with values, symbols and images, build relationships with consumers, and increase their involvement with the brand, generate feelings and emotions, and convey relevant messages — its proposition, its mantra.

Advertising research and analytics is categorized either as:

  • Copy testing

    : pre-testing of advertising before it is aired, or
  • Advertising tracking

    : testing after campaign has been launched.

In the context of both copy testing and tracking, this chapter reviews the imperatives in advertising analytics, and how key facets, such as those listed above, are tested and measured. Emphasis is given to the practices of the major global firms such as Millward Brown and Ipsos ASI that specialize in advertising analytics and research. It also covers Millward Brown’s awareness index model which provides a framework for measuring the effectiveness of advertising in generating awareness.


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