This article explains data-driven attribution. To learn more about attribution models in general, or to learn how to select an attribution model for your conversion actions, read About attribution …

About the different attribution models Google Ads currently offers several attribution models: Last click: Gives all credit for the conversion to the last-clicked ad and corresponding keyword. …

The data-driven attribution model assigns credit based on how the addition of each ad interaction to the path changes the estimated key event probability. The data-driven attribution algorithm …

About data-driven attribution Data-driven attribution gives credit for conversions based on how people engage with your various ads and decide to become your customers. When possible, it …

This article explains data-driven attribution. To learn more about attribution models in general, or to learn how to select an attribution model for your conversion actions, read About attribution …

If you’re new to attribution, we recommend using data-driven models. Since they're based on consumer behavior, you'll benefit from attribution reporting without studying the default …

A data-driven attribution (DDA) model analyzes real data about user interactions, unique to your search campaign, to learn how to distribute credit for conversions across all interactions in a …

Reporting attribution model An attribution model can be a rule, a set of rules, or a data-driven algorithm that determines how credit is assigned to touchpoints along a user's path to …

MCF Data-Driven Attribution uses all available path data—including data from both converting and non-converting users—to understand how the presence of particular marketing touchpoints …

Data-driven (recommended): Distributes credit based on data for each key event. The attribution model is different from the other attribution models because it uses your property data to …