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Attribution that holds up in the boardroom

Attribution arguments are rarely about statistics. They are about whether the marketing team's numbers and the finance team's numbers can be reconciled in the same meeting. That is a solvable problem, and it does not require a perfect model.

Sarah Chen · Aug 3, 2026 · 8 min read

Start from the reconciliation, not the model

Pick the finance number first — booked revenue, recognised revenue, net of refunds, whatever the board sees — and make attribution explain that number and no other. Most credibility problems come from marketing reporting on a metric that has no arithmetic relationship to anything in the financial statements.

Once the denominator matches, disagreements become about credit allocation, which is a far more productive argument than one about whether the number is real.

Run two models on purpose

Keep a deterministic, last-non-direct model as the operational default. It is simple, stable, and reproducible, which makes it good for week-to-week decisions and terrible for measuring brand or upper-funnel work.

Alongside it, run an incrementality view built from holdouts and geo tests. Do not try to reconcile the two into a single number. Report them as what they are: one measures routing, the other measures lift. Presenting both, with their disagreement visible, builds more trust than presenting one with false confidence.

Say what the model cannot see

Every attribution deck should carry a short, unglamorous list of known blind spots — cross-device gaps, consent-declined traffic, dark social, offline conversations. Naming them costs you nothing and pre-empts the question that otherwise derails the meeting.

The teams whose attribution survives scrutiny are not the ones with the most sophisticated model. They are the ones who can state, without hedging, which decisions their model is good enough to support and which it is not.

The minimum viable setup

If you are rebuilding from scratch, this order gets you to a defensible position fastest.

  • Agree the revenue definition with finance, in writing.
  • Instrument conversions server-side so consent and ad-blocking do not silently reshape the data.
  • Ship last-non-direct as the operational model.
  • Add a quarterly holdout for your two largest channels.
  • Publish the blind-spot list with every report.

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