Which Google Analytics feature uses machine learning and Google AI to measure conversions that aren't directly observable?

Question: Which Google Analytics feature uses machine learning and Google AI to measure conversions that aren't directly observable?

  • Attribution paths
  • Conversion window
  • Key event modeling
  • Conversion events

Explanation

Key event modeling uses Google’s models to estimate online key events that cannot be observed directly. It helps fill measurement gaps caused by factors such as user privacy, technical limits, or movement across devices. The modeled results are combined with observed key events to support more complete reporting and attribution. This feature relies on machine learning to predict overall key event attribution when direct observation is incomplete.

Why the other options are incorrect

Conversion events is incorrect because this refers to configured important actions, not the modeling feature that estimates unobserved activity.

Conversion window is incorrect because it defines the time period for attribution, not a machine-learning measurement method.

Attribution paths is incorrect because it shows touchpoints that lead to key events, not the feature that estimates unobservable key events.

Source for verification

https://support.google.com/analytics/answer/10710245

The answer(s) to the question is highlighted in the BOLD text above. You can also find more questions and answers related to the exams on the "Google Analytics Certification" page.

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