Digital Advertising doesn’t work.

Digital Advertising doesn’t work.

This is the conclusion you could get from recent Freakonomics podcasts and the case studies of P&G, Uber and Chase that Dr. Augustine Fou has summarized in his Forbes article here:

Of course, it would be a wrong conclusion – in general. And for those who didn't click, also Dr. Fou doesn't draw it ;-). Our client work at Analyx has shown that #SEM for example has a 1.5-3.5x higher short-term(!) effectiveness than #TVAdvertising, depending on the category (display ads do worse). And for recent scientific proof, consider the fantastic research of Prof. Evert de Haan, Prof. Thorsten Wiesel & Prof. Koen Pauwels here:

Yes, there are many pitfalls in digital advertising. Just to name a few:

But this doesn’t mean, digital advertising doesn’t drive sales. The lessons for #CMOs are rather different in my view:

(1) Don’t get seduced by giant impression and click numbers: Bots can click. Sales impact is what counts. As one of my CMO clients always says: "The goods have to go!"

(2) Actual modeling is a must: #Lastclick is NOT a model! It is a rule and actually often wrong. Without a proper marketing mix model you cannot isolate effects of channels.

(3) Forget individual attribution and focus on aggregate response: In other words, do my weekly sales go up following a marketing activity? This is true at least for the big questions like strategic budget allocation:

“Chasing individuals around the internet produces more data than can be managed, yet not enough to solve the problem.” https://bit.ly/390uehf

(4) Enrich your data with controlled experiments: By ramping your digital spending up and down and shutting sites on and off you not only get smarter on what works or not (https://bit.ly/3nZ06H5). You also enrich your next round of modeling by generating variance which your model can learn from and get better. This is an essential part of what I call #AgileBudgeting, for example here:

(5) Long-term effect can outrun short-term effect: According to our most recent client work at Analyx, TV is still the channel with the strongest long-term sales effect relative to its short-term effect. In other words: TV is still your channel of choice for brand-building. Interestingly, #YouTube is closely trailing TV by now (Maybe no wonder given that in the US more than a third of views are on #BigScreens as Shane O'Leary has pointed out here:

So at least in brand building, digital ads are well behind despite their strong short-term impact on sales. More on that in one of the next #WednesdayWhizz posts…

Dr. Matthias Rasztar

Executive Manager Marketing Excellence bei Dr. Oetker

4 年

Hi Sascha, great discussion within this chat. Happy to join! All the best Matthias

Claudia Frese

CEO and Supervisory Board Member

4 年

Excellent discussion! The feakonomics podcasts have been added to my weekend playlist. Thanks for sharing, Sascha!

Aneta Key

? Advancing strategic priorities by aligning executives & expanding leadership capacity

4 年

I liked that episode a lot

Markus Hoyer

Empowered by passion for improvement

4 年

The average screen on which digital ads are watched is growing, as more people use YouTube & Co on their Smart TV. This should increase the brand-building potential of digital, too.

Ridhima Kumar

Chief Marketing Mix Modeling Officer (cMMMo) at Aryma Labs | Helping enterprises adopt marketing ROI solutions for a privacy first era |

4 年

Nice article Sascha Stürze. point 2 "Actual modeling is a must:?#Lastclick is NOT a model! It is a rule and actually often wrong.?Without a proper marketing mix model you cannot isolate effects of channels." is spot on. In fact, we also have been leveraging market mix models with digital variables to prove the efficacy of digital ad spends for many our clients. Here is a blog which I wrote couple of years ago, echoing the same sentiment. https://towardsdatascience.com/how-to-deal-with-digital-variables-in-marketing-mix-modeling-mmm-9ceb36ba563f

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