How to measure marketing when attribution no longer works. This article is written for founders, CMOs, and operators who need a board-level answer — what is broken, why it is happening, and what to change next.
The number behind the story
Third-party cookies are gone. iOS blocks a huge share of pixel data. Multi-touch attribution models built in 2018 quietly stopped working around 2022 and nobody told the dashboards. Yet most Indian agencies still report per-channel ROAS from platform-native attribution as if it were fact.
The world where a marketer could point at a click and confidently claim credit for the sale that followed is over. What replaces it isn't a single new model — it's a triangulation of three imperfect signals.
Where the dashboard breaks
First: incrementality testing. Turn a channel off in one geography, leave it on in a comparable one, measure the difference. This is the closest thing to a true causal read available. Every mature marketing team should run one incrementality test a quarter.
Second: marketing mix modelling. Fit a regression against historical spend and revenue by channel, adjusted for seasonality, base rate, and external factors. Modern MMM tools (Robyn, LightweightMMM) have made this dramatically more accessible than five years ago.
How to measure it properly
Third: blended marketing efficiency. Total revenue divided by total marketing spend. It doesn't tell you which channel worked, but it tells you whether marketing as a whole is working. That's often the more important question.
Any board deck that reports per-channel ROAS as if it were fact in 2026 is telling a story, not a number. The honest measurement story is: 'here is our blended MER, here is our incrementality read on the biggest channel, here is our MMM allocation.' It's less satisfying and much more accurate.
"Any board deck that reports per-channel ROAS as if it were fact in 2026 is telling a story, not a number."
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