Attribution is a management tool, not a measurement one
Avishai Sam Bitton 5 min read
The argument
Attribution models allocate credit according to rules you chose. That makes them a budgeting convention, and treating them as evidence is where the damage starts.
A multi touch attribution model does not discover anything. It applies a distribution rule that a human selected to a set of touchpoints that a tracking system happened to capture. Change the rule and the answer changes. Change the tracking coverage and the answer changes again.
That is not a criticism of the tooling. It is a description of what the tooling does. The damage comes from the sentence that follows the dashboard: this channel drove 34 percent of revenue.
Three things attribution structurally cannot see
- Anything without a click. The podcast, the conference conversation, the Slack community recommendation, the answer an assistant generated. All real, all invisible, all reallocated to whichever channel happened to catch the click.
- The counterfactual. Attribution tells you which touchpoints preceded a purchase. It cannot tell you whether the purchase would have happened anyway, which is the only question a budget decision actually depends on.
- The long tail of consideration. B2B cycles routinely exceed the cookie and session windows the model relies on, so early influence is systematically undercounted and closing activity is systematically overcredited.
Attribution answers what happened before the purchase. Budgeting requires knowing what would not have happened without the spend. These are different questions.
What it is genuinely good for
I still build attribution reporting for every client, because used as a management instrument rather than as evidence it does real work.
- 1
Detecting change
The absolute value is arbitrary. The direction is not. If a channel's attributed contribution halves month on month under an unchanged rule, something moved and it is worth investigating.
- 2
Settling internal disputes cheaply
A shared, stated convention stops the weekly argument about whose channel deserves credit. That is worth a lot of organisational time even when the numbers are approximate.
- 3
Finding the pages that appear in winning journeys
Not as proof of causation, but as a shortlist. Pages that recur across closed won journeys are usually worth investing in, and this is a cheap way to find them.
The three inputs I trust more
| Method | What it tells you | Cost |
|---|---|---|
| Self reported attribution | What the buyer believes influenced them, in their words | One form field |
| Geographic or timing holdouts | The counterfactual, approximately, for one channel | A few weeks of deliberate under-spend |
| Branded demand trend | Whether total market pull is growing, regardless of channel credit | Free, already in your search console |
How to talk about it without losing credibility
Marketers lose the room when they present a modelled number as a measured one and then get asked a question the model cannot survive. The fix is to change the sentence, not the dashboard.
Says more than the data supports
- Paid social drove 1.2 million in revenue
- Content has a 4x return
- This channel is our most efficient
Defensible, and still useful
- Under our last non-direct rule, paid social touched 1.2 million in closed revenue
- Content appears in 60 percent of closed won journeys, and buyers name it unprompted
- When we paused this channel in two regions, pipeline fell measurably in both
Verdict: The right column survives a CFO's follow up question. The left column is why marketing budgets get cut in the first bad quarter.
Honesty about the limits is not a weaker position. A team that says 'we do not know precisely, and here is the experiment that will tell us' is far more trusted over time than a team with a confident chart and no counterfactual.
What I would do Monday
- 1Write down which attribution rule you use and who chose it. If nobody remembers, that is your finding.
- 2Add a self reported source field to every high intent form.
- 3Run one geographic or timing holdout on your largest channel this quarter.
- 4Stop presenting attributed revenue as a fact and start presenting it as a convention with a stated rule.
Who wrote this
Avishai Sam Bitton
Founder, DemandBox
Avishai runs demand generation programs for B2B SaaS companies across performance marketing, SEO, and answer engine optimization. He works directly with the teams he advises, with no account managers in between.
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