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Attribution models

Single-touch attribution: one touch takes all

Single-touch attribution is the family of models that hand a conversion's entire credit to one touchpoint — first-click or last-click. It is deterministic, easy to explain, and reconciles cleanly across tools. The cost is that it denies any role to every other touch in the journey.

Verified against primary sources

What this means

Single-touch attribution collapses an entire journey to one decisive touch and gives it everything. The two members are first-click (the opener) and last-click (the closer). There is no splitting, no weighting, no model to retrain — which is exactly why it is the easiest to compute and reconcile.

What the simplicity costs

Determinism is genuinely useful: single-touch numbers do not drift when a model retrains, and two teams can reproduce them. But the model asserts that one touch did all the work, which is almost never true for multi-step journeys. It is the right tool for a stable baseline and the wrong tool for budget allocation across a real funnel.

Use it as a reference point, then move to multi-touch or incrementality for decisions.

How it appears in analytics and logs

Single-touch output is fully determined by one touch and the lookback window. It is stable and comparable, but it tells you nothing about supporting channels.

Diagnostic use case

Choose single-touch when you need a simple, reproducible baseline that everyone can audit, while knowing it deliberately ignores the rest of the path.

What WebmasterID can help detect

WebmasterID can serve single-touch baselines alongside multi-touch views, with confidence labels, so simplicity is a choice and not a blind spot.

Common mistakes

Privacy and accuracy notes

Single-touch models need only one touch from one site's own visitor and no cross-site identity. WebmasterID keeps the underlying touch first-party.

Related pages

Sources and verification notes

Last reviewed 2026-06-24. Facts are checked against primary/official sources where available; uncertain specifics are marked “Data not yet verified” rather than guessed.