attribution
Also called: marketing attribution, conversion attribution
Attribution assigns credit for a conversion to the touchpoints (ads, clicks, organic visits, other interactions) along a user's path to that action. An attribution model is the rule or algorithm that decides how much credit each touchpoint receives.
Why the model changes the story
Same conversions, different story. Say a visitor finds you through organic search, comes back a week later from an email, then buys. Under paid and organic last click, email takes 100% of the credit and organic search shows zero, even though organic started the journey. Under data-driven attribution, GA4 uses machine learning to split credit based on how each interaction changes the estimated probability of the key event, so that earlier organic touch gets a share.
Google Analytics 4 currently supports three models: data-driven (the default), paid and organic last click, and Google paid channels last click. The older first-click, linear, time-decay, and position-based models were removed in November 2023, so a lot of older attribution advice is stale.
The model you pick decides which channels look like they work. Single-touch models like last click ignore the interactions customers had earlier in the path, which is exactly where organic search and content usually sit. Google frames comparing last click against data-driven as a way to spot channels that are undervalued on a last-click basis. For SEO, that undervalued channel is often you.
How it affects your traffic
If you judge SEO on last-click conversions alone, organic search will almost always look weaker than it is, because it tends to assist early in the path rather than close the sale. That undercount leads to underinvesting in the content and technical work that actually feeds your pipeline. An SEO Audit reviews how your GA4 attribution, channel grouping, and conversion tracking are set up, so organic's real contribution shows up instead of getting swallowed by a last-click default.
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