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?

If only half of your users have provided consent for analytics purposes and you’re concerned about reporting accuracy, the analytics feature that can help fill in the gaps and provide useful insights on the user journey from Analytics reports while respecting user privacy is behavioral modeling.

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

Explanation: When only a portion of users provide consent for analytics, behavioral modeling in Google Analytics 4 (GA4) helps bridge the data gap. It uses machine learning to estimate the behavior of users who declined analytics cookies, based on the observed behavior of similar users who granted consent. This allows you to gain a more complete and accurate understanding of your overall user journey in Analytics reports, even with incomplete observed data, while fully respecting user privacy settings through Consent Mode.