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Multi-Touch Attribution vs Diminishing Returns: Why Privacy Changed the Debate

John Wallace·May 2026

Multi-Touch Attribution vs Diminishing Returns: Why Privacy Changed the Debate
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Multi-touch attribution vs diminishing returns used to be a real debate; privacy changes mostly settled it. This matters because multi-touch attribution depended on tracking a person across touchpoints, visibility stripped away by privacy regulation. Without that tracking data, chasing which ads a customer saw is no longer answerable, and wasn’t important anyway. This video explains why the economics of spend, not touchpoint sequence, is now the more reliable path.

Why Multi-Touch Attribution vs Diminishing Returns Isn’t Much of a Debate Anymore

Multi-touch attribution vs diminishing returns isn’t much of a debate anymore, because the data multi-touch attribution needs to work, visibility into every touchpoint a person was exposed to, has been steadily removed by privacy regulation. In this video, John Wallace, CEO of LiftLab, traces the appeal multi-touch attribution once had: the intuitive, satisfying idea of following someone through six ad exposures to a purchase and assigning credit accordingly. What that approach never handled well, according to Wallace, was diminishing returns, arguably a far more consequential question than which specific ads someone happened to see.

Privacy regulation didn’t just weaken multi-touch attribution, it removed the underlying data that made it possible in the first place, a development Wallace views as a net positive. The resulting shift in thinking skips the touchpoint-counting exercise entirely: instead of trying to reconstruct whether a customer saw six ads or two, the more useful and now more answerable question is simply what a given level of spend returns. That’s a direct path to the economics of media, rather than a detour through an attribution report that was never quite the real answer to begin with.

In this video, you’ll learn:

  • The evolution of marketing measurement from MTA to diminishing returns

  • Why tracking individual customer journeys has become increasingly difficult

  • The impact of global privacy changes on data availability

  • How to refocus marketing metrics on the economics of media spend

  • The benefits of prioritizing return on investment over individual ad attribution

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Full Video Transcript: Multi-Touch Attribution vs Diminishing Returns Explained

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In this video, LiftLab CEO John Wallace explains why marketing measurement has shifted from multi-touch attribution to diminishing returns, and why privacy changes made that shift permanent.

[0:00 – 0:11] The Evolution of Marketing Attribution

One of the current trends that we see happening in marketing is watching the evolution of thinking that’s a shift from kind of a former multi-touch attribution, or MTA, kind of thinking, towards embracing diminishing returns.

[0:11 – 0:39] The Limitation of MTA Models

What we see is that people were really enamored by the idea that you could kind of follow a person through time and see that they were exposed to six different ads and then they bought, that whole exercise. It’s very intuitive to say, I want to be able to allocate that credit in some way. It kind of gives us a sense of satisfaction, a certain excitement, but what MTA algorithms never really addressed well were diminishing returns, and that’s actually far more important than knowing that the six events happened.

[0:39 – 0:49] Impact of Privacy Changes

It took removing the fact that we could see those six events. That data for doing MTA has gone away. It’s been chipped away at by so many changes to privacy, and I think it’s all the better.

[0:49 – 1:16] The New Marketing Perspective: Economics of Media

Now what we’re introducing marketers to is a way of thinking to say, as I spend, and it may have happened that it turned out that someone got six different ads and someone else got two different ads, we won’t maybe necessarily know that like we used to. But as I spend, what am I getting in return for it? We’re going to go straight to solving the fundamental problem of the economics of the media, as opposed to a waypoint along the way of a multi-touch attribution reporting system, and straight to the answer that we were looking for in the first place.

Key Lessons: Moving From Multi-Touch Attribution to Diminishing Returns

  • Shift in strategy: The industry is moving away from the intuitive but flawed goal of tracking individual ad exposure sequences.

  • Privacy realities: New privacy regulations have permanently reduced the data sets required for multi-touch attribution.

  • Diminishing returns: Understanding the point of diminishing returns is far more critical for business success than identifying which specific ads a customer saw.

  • Economic focus: Marketers should prioritize analyzing what they get in return for their total ad spend rather than auditing every individual event.

About John Wallace: LiftLab CEO and MMM Expert

John Wallace

John WallaceCEO, LiftLab

John Wallace is a senior product leader pioneering privacy-first marketing analytics and experimentation platforms. Deeply versed in marketing mix modeling, incrementality analysis, and media experimentation, currently, he’s empowering 100+ enterprise clients including Sephora, Skims, and Tory Burch with economic modeling and media experimentation.

Multi-Touch Attribution vs Diminishing Returns: Why Privacy Changed the Debate
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