Analytics
Attribution Is Broken. Here Is What We Use Instead.
No attribution model sees the whole journey any more. These are the four methods we combine to make confident budget decisions anyway.

Nadia Kusuma

Introduction
Privacy changes, blocked cookies, and buyers who research on five devices have made single-model attribution a comfortable fiction. You still have to decide where next quarter’s budget goes, so the answer is not a better model — it is several imperfect ones that disagree usefully.
1. Accept That No Model Sees Everything
Last-click overpays for capture. First-click overpays for awareness. Every model is a lens with a known bias. Knowing each one’s bias is more useful than believing any single number.
2. Run Holdouts On Your Biggest Channel
Switch a channel off in a region, or for a fortnight, and measure what happens to total revenue. It is the closest thing to truth available, and it costs less than a quarter of misallocated spend.
3. Ask People Where They Heard About You
A single open field on the signup form — “how did you hear about us?” — routinely surfaces channels no dashboard credits. It is qualitative, it is imperfect, and it catches podcasts, referrals, and communities that tracking never will.
4. Judge Channels On A Portfolio, Not In Isolation
Some channels create demand and some capture it. Grading a demand-creating channel on last-click conversions guarantees you will cut the thing feeding the rest of the funnel.
Final Thought
The goal is not a perfect number. It is being roughly right in the same direction across several independent methods.



