Data-Driven Attribution is an attribution model that uses observed conversion paths and data to distribute credit across touchpoints.
It matters because analytics turns marketing activity into decisions. Without clear measurement language, teams may misread performance, overvalue the wrong channels, or miss the actions that actually drive revenue.
Example
A data-driven model may distribute conversion credit differently across recorded interactions than a last-touch model. Compare the same conversion definition and date settings before attributing the difference to campaign performance rather than the model.