Marketing Effectiveness should be a corporate function, not a side project

Marketing Effectiveness should be a corporate function, not a side project

A client kindly pointed me to a cool new section by the folks at MarketingWeek . It's called The Language of Effectiveness and bundles a growing body of articles on the topic on a central landing page. (Disclaimer: It is sponsored by 尼尔森 and Meta but I don't hold that against them ?? - I am citing only non-sponsored content in this post).

The section was kicked off end of last year with a big survey among >1,600 brand-side marketers -- and Dear readers, I was shocked...

The Dismal Science

You can read all the details yourself but the ugly, slightly exaggerated exec summary of mine is this:

In many companies, Marketing Effectiveness is still an ad hoc side project of the campaign management or insights team and results barely make it to the CMO desk.

More than 60% of respondents say that effectiveness measurement has become a more important driver of decisions over the last 3 years. But it seems that the way it is done in most firms, doesn't match the ambition:

No alt text provided for this image

No alt text provided for this image

In Search for a Home

One of the key deficiencies seems to be that Marketing Effectiveness lacks ownership, it lacks a corporate home:

Only ~16% of respondents strongly agreed that Marketing Effectiveness is a well-defined function within their business, with a clear structure, detailed processes and chain of accountabilities in place

And all of the above yields this:

No alt text provided for this image

Value. Delivered.

Wherever I have looked from the inside together with Analyx? or outside-in conducting interviews for our books: Whenever ME is run by a well-managed corporate function and a dedicated team, value creation has been immanent. This is true from A like Allianz via C like Castrol , D like Diageo (very prominently) all the way to Z like Zalando .

I don't have a broad enough sample to calculate the average ROI of a corporate marketing effectiveness function and I am not at liberty to share individual numbers. But what I am happy to share is my - subjective - view on the Top 9 factors that determine its success:

  1. Marketing effectiveness should be a dedicated function, not a side project of consumer insights, let alone BI.
  2. It should be run by (quantitative) Marketers with a keen interest in Data Science. It should not be run by Data Scientists.
  3. It should be run by people that truly speak Marketing and Media (see next chapter on the role of language) and are trusted by local markets.
  4. The function should report as directly as possible to the CMO. I have seen it work as part of Marketing Controlling (CFO line) but less well on average.
  5. The function should not necessarily sit on the marketing money for the local markets but help them justifying budget needs to the CMO.
  6. Modeling and Data work can be in-house sitting with this function if the size of the company's Ad Spend and the number of countries and brands justify that. But: Modelers are scarce and run fast if they are bored. And modelers want in-house gurus. Thus, think twice if you can really utilize an in-house team.
  7. The ME function must deeply understand how the models work ("white box", not even grey is enough). And: Modeling shouldn't be with the media agency (I know this sounds obvious coming from me but we all know why...)
  8. One of the absolute key jobs of the ME function is definitions, taxonomy, data labels and the like. This is the most underestimated driver of measurement success.
  9. But probably the #1 - #3 jobs of this function are Communication, communication and communication. Upwards, downwards, sideways. With agencies, with local markets, with brands, with CMOs, with modelers, with data owners - and with tons of smart people with some gut feel about media elasticity ??

Language is Important!

...which brings us to my closing remark: I am thankful that Marketingweek is running this section and that they appropriately called it The Language of Effectiveness. Not only because words shape our thinking. But because I have learned in almost 20 years of Applied Marketing Science that value is only created when the messages are delivered well - and over and over again.

As an example, in every SpendWorx project, we invest a considerable amount of the total project time working with in-house ME folks on Playbooks. These are not software manuals or Data Science papers. These are guides written for Marketers how the results have to be read, interpreted and turned into action: What could be reasons why an ROI is negative? What can you do about it and how quickly can we recalibrate to see if it worked?

The Language of Effectiveness is only partially the language of Mathematics.

Prof. Dr. Hans-Willi Schroiff

- CEO and Founder of MindChainge - University of Cologne (Adjunct Lecturer)

1 年

Dear Sascha, you know how much I appreciate you as a person and the work you do. By and large, I agree with the nine points you made. Yes, this could be done and perhaps should be done. In my corporate role as global head of market research and business intelligence, I have been working on this issue for a number of years - and I had high hopes for it. Looking back, my conclusion is quite simple: companies are simply not really interested in an accurate assessment of the consequences of the decisions they make. It would simply become a major threat if there was someone out there who regularly looked at business decisions and their economic consequences. The last 12 years as a consultant have only confirmed my impressions. Don't lose your messianic sense of mission, but be aware that this is not the rational issue you think it is.

Tomasz Glowacki

Head of Data Science @ ?abka Group | Data Science/ML/AI Strategist | Phd, ExEd

1 年

Great article Sascha. While I agree with the main message (ME as a dedicated function), I do not necessarily agree with?some of the?factors. In-house guru as a?retention?method.?Nowadays, the most important retention factors are related to diversity (domains, technologies, projects, career paths). The company of the size that needs?"ME function"?is able to provide it. In-house guru is needed when we speak about smaller companies. Gartner even do not name?"guru"?in top 10 retention methods for DS. ME should be not run by DS, but should be run by quantitative Marketers- I would say this is truth observation, but it is rather symptom than the cause. More and more companies organize their DS as hybrid. The central DS is?surrounded?by?small domain teams. But these guys are nothing more than DS?with certain business knowledge (https://www.datarobot.com/wiki/citizen-data-scientist/). They should not be?siloed, but they are part of the wider?DS?family (and the part of?the "diversity program"). Finally, the fact they are -to some?extend-?independent is not to?"produce better value", but because this is operational work. The main DS?function is not operational?anymore?so we start to observe Chief Data Scientist as a board members.

Christian Bachem

ROI Driven Marketing Strategy

1 年

Thanks for sharing your insights, Sascha. Totally agree with your analysis, which matches our experience. Yet I'm not sure about your conclusion. In my view many marketers and even CMOs don't want to be held accountable for results of their work and effects of their marketing invest (as long as the corporate culture and their CFO give them the liberty to do so). So establishing effectiveness as a corporate function within the marketing "department" might work well for companies that run on a truly results-driven operating system. For all others I guess this role and function should rather be placed in the CFO line. Would be happy to see your take on that.

Great article Sascha. Particularly pleased to see taxonomy called out. Some of these less glamorous or headline grabbing areas are absolutely fundamental to being able to holistically manage effectiveness

要查看或添加评论,请登录

Sascha Stürze的更多文章

社区洞察

其他会员也浏览了