How do I check if my GA4 has Data-Driven Attribution configured correctly?

Run a free NiceLookingData audit on your GA4 property. The audit runs 58 checks across configuration, data quality, measurement, compliance, and optimization — including any rule that touches Data-Driven Attribution — and emits plain-English findings in 60 seconds.

Definition · GA4 Glossary

What is Data-Driven Attribution?

An algorithmic attribution model that uses machine learning to evaluate both converting and non-converting paths to assign fractional credit to marketing touchpoints.

Unlike static models (like "First Click" or "Linear" which simply divide credit evenly), Data-Driven Attribution (DDA) analyzes your specific account data. It looks at the probability of a conversion occurring if a specific ad click didn't happen.

Because it relies on machine learning, it requires a sufficient volume of data to function accurately. For very small sites, DDA might behave erratically or fall back to more basic models under the hood. It is the default reporting model for all new GA4 properties.

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Related terms.

Attribution Model

The mathematical rule or framework that determines how credit for sales and conversions is assigned to different touchpoints in user conversion paths.

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