Analytics

Attribution

Assigning credit for a conversion across the touchpoints that led to it.

Overview

Attribution is how you decide which marketing touchpoints get credit for a conversion when a customer interacts with several before converting. Because most journeys involve multiple channels, the model you choose changes which channels look effective and where you invest next.

Common models include last-click (all credit to the final touch), first-click, linear (equal across touches), time-decay (more to recent touches), and data-driven (algorithmically distributed). There is no single correct model; each answers a different question and carries different blind spots.

Why it matters

Attribution decides your budget. Last-click, still a common default, systematically under-credits awareness and upper-funnel channels like content and paid social, which rarely get the final click, and over-credits brand search and retargeting that simply catch already-decided buyers.

Common mistakes

Trusting a single model as truth, ignoring the growing gap caused by privacy changes and cookie loss, and forgetting that a lot of demand (word of mouth, offline, dark social) is never tracked at all. Modern measurement pairs attribution with incrementality testing.

Common questions

Attribution — questions

Straight answers on how this fits your marketing and build.

None is universally best. Last-click is simple but under-credits early touches; data-driven is fairer but needs volume. The pragmatic approach is to understand each model’s bias and validate spend decisions with incrementality tests.

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