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Analytics

Attribution model

An attribution model is the rule a reporting system uses to decide how much credit each marketing touchpoint gets for a conversion when a visitor interacted with several channels before converting, such as an organic search visit followed later by a direct return visit that completes a purchase.

Also called: marketing attribution

Why it matters to a buyer

Choosing an attribution model changes how valuable organic search and content appear in a report, since a last-click model often credits a final branded search or direct visit while ignoring the earlier organic post that actually introduced the buyer, which can make top-of-funnel SEO and content work look far less valuable than it is. A buyer should ask which model a report uses, and treat "SEO isn't driving revenue" conclusions from a last-click-only report with real scepticism, since they frequently reflect the model's limits, not the channel's real contribution.

How it is measured or applied

GA4 offers a data-driven attribution model by default, which uses machine learning to distribute credit across touchpoints based on their actual observed contribution to conversion, replacing older fixed rules like last-click or linear that assign credit mechanically regardless of what really happened. Models are compared directly in GA4's model comparison report, which shows how differently each one credits the same conversions across channels. It is applied by reporting organic search and content performance with an eye to assisted conversions and the full customer journey, not only the final touchpoint.

Sources

  1. [GA4] Compare attribution models, Google Analytics Help

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