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Data-Driven Attribution (DDA)

Data-Driven Attribution (DDA)

A machine learning-based attribution model that algorithmically assigns fractional credit across touchpoints based on their actual contribution to conversion, rather than using predetermined rules (like last-click). Google Ads and GA4 use DDA as the default attribution model. It's more sophisticated than rule-based models, but still limited by click-signal availability, since channels without click data end up underrepresented.

Last updated:

July 28, 2026