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Bookmark or Share- [GA4] Get started with attribution - Analytics Help - Google HelpAttribution uses machine learning algorithms to evaluate both converting and non-converting paths. The resulting Data-driven model learns how different touchpoints impact key event outcomes. The model incorporates factors such as time from key event, device type, number of ad interactions, the order of ad exposure, and the type of creative assets.
- About attribution models - Google Ads HelpAttribution models let you choose how much credit each ad interaction gets for your conversions. Attribution models can give you a better understanding of how your ads perform and can help you optimize across conversion journeys. This article describes the various attribution models and how to use them in Google Ads.
- [UA] About Attribution [Legacy] - Analytics Help - Google HelpAn attribution model can be a rule, a set of rules, or a data-driven algorithm that determines how credit for conversions is assigned to touchpoints on conversion paths. There are two types of attribution models available in Attribution: rules-based models and a data-driven model. Attribution models available in Attribution
- [UA] Overview of Attribution modeling in MCF [Legacy] - Google HelpAn attribution model is the rule, or set of rules, that determines how credit for sales and conversions is assigned to touchpoints in conversion paths. For example, the Last Interaction model in Analytics assigns 100% credit to the final touchpoints (i.e., clicks) that immediately precede sales or conversions.
- [GA4] Select attribution settings - Analytics Help - Google HelpChanging the reporting attribution model applies to historical and future data. Learn more Get started with attribution. Changing the reporting attribution model is reflected in all key event reports and explorations that use event-scoped traffic dimensions, for example, Source, Medium, Campaign, and Default channel group. In Explore, you can ...
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