Last Updated on 1 month by School4Seo Team
The attribution model that spreads credit for a conversion across different touchpoints through the use of machine learning algorithms is data-driven attribution.
- Time decay
- Last click
- First click
- Data-driven
The correct answer is: Data-driven
Explanation: Data-driven attribution uses machine learning to distribute conversion credit across touchpoints. This model analyzes your account’s conversion data to understand how different interactions contribute to conversions. It goes beyond rule-based models by identifying patterns and assigning fractional credit based on actual performance.This provides a more accurate view of each touchpoint’s impact, enabling better optimization decisions.By using machine learning, it adapts to changing user behaviors and provides a more nuanced understanding of the customer journey.
Data-driven: Data-driven attribution distributes credit for the conversion based on data for each conversion event. It’s different from the other models because it uses your account’s data to calculate the actual contribution of each click interaction.
Attribution uses machine learning algorithms to evaluate both converting and non-converting paths. The resulting Data-driven model learns how different touchpoints impact conversion outcomes.
Read more here: https://support.google.com/analytics/answer/10596866