Last Updated on 1 month by School4Seo Team
The data-driven attribution model relies on machine learning algorithms to assign credit for a conversion across various touchpoints.
- Time decay
- First click
- Last click
- Data-driven
The correct answer is: Data-driven
Explanation: The data-driven attribution model relies on machine learning algorithms to assign credit for a conversion across various touchpoints.
Unlike rule-based models, data-driven attribution analyzes your account’s specific conversion data. It uses machine learning to understand how each touchpoint contributes to conversions. By identifying patterns and assigning fractional credit based on actual data, it provides a more accurate and nuanced view of the customer journey. This leads to better optimization and more effective marketing decisions by accurately attributing value to each interaction.
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