Measurement glossary

What Is Data-Driven Attribution?

Definition

Data-driven attribution is an attribution model that uses observed conversion paths and modeling to distribute credit among eligible marketing interactions.

How Data-Driven Attribution Works

Instead of applying the same fixed rule to every path, the system estimates how different touchpoints contribute based on available data.

A Simple Example

A path containing a display view, paid-search click and direct return may receive divided credit rather than assigning the entire conversion to the final click.

Why Data-Driven Attribution Matters

It can reflect multi-touch paths more flexibly than a fixed last-click rule.

Common Misreading

Model-assigned credit is still attribution, not a randomized causal test. It can distribute credit without proving how many conversions advertising actually added.