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Only half of your users have provided consent for analytics

Only half of your users have provided consent for analytics purposes, and you’re worried about reporting accuracy. What analytics feature can help you fill in the gaps and gain useful insights on the user journey from Analytics reports while respecting your users’ privacy?

Question: Only half of your users have provided consent for analytics purposes, and you’re worried about reporting accuracy. What analytics feature can help you fill in the gaps and gain useful insights on the user journey from Analytics reports while respecting your users’ privacy?

  • Offline event data import
  • Behavioral modeling
  • Pathing technique
  • Measurement Protocol

Explanation

Behavioral modeling uses machine learning to estimate user behavior when analytics identifiers are not available because consent was denied. It helps fill reporting gaps in Google Analytics while respecting user privacy choices. The modeled data is based on behavior from similar users who accepted analytics cookies. This supports more useful reporting on the user journey when observed data is incomplete.

Why the other options are incorrect

Offline event data import adds external offline data, not modeled website or app behavior from users without analytics consent.

Measurement Protocol sends events to Google Analytics, but it does not model missing user behavior caused by consent choices.

Pathing technique analyzes user paths, but it does not fill reporting gaps from unavailable analytics identifiers.

Source for verification

https://support.google.com/analytics/answer/11161109

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 Ads - Measurement Certification" page.

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