What is Attribution Model in Google Ads / Google Analytics

Опубликовано: 16 Май 2026
на канале: Arriba Digital
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In the context of Google Ads and Google Analytics, an attribution model refers to the set of rules or methodologies used to assign credit to various marketing channels or touchpoints that contribute to a conversion or goal completion. It helps marketers understand the effectiveness of their advertising efforts and allocate credit to different marketing channels appropriately.

Here are some commonly used attribution models in Google Ads and Google Analytics:

Last Click: This model attributes all the credit for a conversion to the last clicked ad or marketing touchpoint before the conversion. It gives full credit to the final interaction and is the default attribution model in Google Ads.

First Click: In this model, all the credit for a conversion is given to the first clicked ad or marketing touchpoint in the user's conversion path. It emphasizes the role of initial awareness and acquisition.

Linear: The linear attribution model distributes equal credit across all marketing touchpoints along the conversion path. It assumes that each interaction played an equal role in the conversion.

Time Decay: This model assigns more credit to touchpoints that are closer to the conversion event. It assumes that interactions that occur nearer to the conversion had a greater impact.

Position-Based: Also known as U-Shaped, this model assigns 40% of the credit to both the first and last touchpoints and distributes the remaining 20% across the other interactions. It acknowledges the importance of both the initial and final touchpoints.

Data-Driven: This model utilizes Google's machine learning algorithms to analyze historical data and assign credit to touchpoints based on their actual impact on conversions. It takes into account the specific behavior of users and the effectiveness of different channels.

It's important to note that the availability of attribution models may vary between Google Ads and Google Analytics, and some models may require specific data or have certain eligibility criteria. Marketers can choose the most suitable attribution model based on their goals, marketing strategies, and understanding of customer behavior.