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Ad Attribution

The process of identifying which advertising touchpoints contributed to a conversion, assigning credit across channels, campaigns, and creatives to understand what drove the user's decision to convert.

Ad attribution connects downstream business outcomes back to the advertising interactions that influenced them. Attribution models range from simple (last-click, which gives all credit to the final touchpoint) to sophisticated (data-driven multi-touch, which uses machine learning to distribute credit based on observed impact patterns).

For growth teams, attribution accuracy directly determines budget allocation quality. If your attribution model over-credits retargeting and under-credits awareness campaigns, you will systematically over-invest in the bottom of the funnel and under-invest in demand generation. AI-powered attribution models analyze conversion paths across thousands of users to identify the true incremental contribution of each touchpoint. Growth engineers face significant technical challenges in attribution, including cross-device tracking, walled garden data silos, and the transition away from cookie-based measurement. Building a robust attribution infrastructure that combines platform-reported data, server-side conversion tracking, and incrementality testing is one of the highest-leverage investments a growth engineering team can make.

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