Marketing Analytics: Attribution Is Not Incrementality

One of the business side effects of the pandemic is that it has put a very sharp light on Marketing budgets. This is a very good thing under all circumstances, but particularly beneficial in times when most companies are not doing so well financially.
There is a sharper focus on Revenue/Profit.
From there, it is a hop, skip, and a jump to, hey, am I getting all the credit I should for the Conversions being driven by my marketing tactics? AKA: Attribution!
Right then and there, your VP of Finance steps in with a, hey, how many of these conversions that you are claiming are ones that we would not have gotten anyway? AKA Incrementality!
Two of the holiest of holy grails in Marketing: Attribution, Incrementality.
Analysts have died in their quests to get to those two answers. So much sand, so little water.
Hence, you can imagine how irritated I was when someone said:

Yes, we know the incrementality of Marketing. We are doing attribution analysis.

NO!
You did not just say that.
I’m not so much upset as I’m just disappointed.
Attribution and Incrementality are not the same thing. Chalk and cheese.
Incrementality identifies the Conversions that would not have occurred without various marketing tactics.
Attribution is simply the science (sometimes, wrongly, art) of distributing credit for Conversions.
None of those Conversions might have been incremental. Correction: It is almost always true that a very, very, large percentage of the Conversions driven by your Paid Media efforts are not incremental.
Attribution ≠ Incrementality.
In my newsletter, TMAI Premium, we’ve covered how to solve the immense challenge of identifying the true incrementality delivered by your Marketing budget. (Signup, email me for a link to that newsletter.)
Today, let me unpack the crucial

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The Magic of Universal Analytics: Strategy, Tactics, Implementation Tips

In a Q&A after a keynote a couple of years ago, I was asked: “When will traditional business analysis subsume the web analytics silo?”
My reply: “All business will ultimately be digital, so, if anything, web analytics will subsume business analysis!”
That was a half-cheeky reply. But, if you reflect upon the developments in analytics over the last couple of years it is incredible to see that we, web analytics, have moved so quickly towards the aforementioned outcome.
In fact, even the term digital analytics is too stifling. It is all just business analysis – with digital being a dominant factor in influence (marketing, advertising, experiences, connections, relationships et. al.), digital plus real world owning outcomes (of the commerce type) and some facets of influence.
Business analysis. No digital. No web. No offline. No just this or that silo.
And, 15 years later I get to go back to my first job title after graduating from MBA school. Senior Business Analyst! : )
So, in our world, web analytics, what is helping us embrace to this change? Moving us away from our digital only silo? A little something, that Google Analytics calls, Universal Analytics.
It was announced to the world perhaps 24 months ago – in classic Google fashion, with a bold vision that was not fully baked. Gotta love those betas! The team at Google, thanks to that bold vision, has continued to invest time and people, and execute quickly. Universal analytics has been out, in proper fully baked production release, for a little while. It has exciting new features, an exciting cluster of new analyses you can do, and a lot that was impossible before. It allows you to be a full-blooded Business

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