GA4 engagement metrics, when gathered via client-side tracking, could be highly inaccurate. Various factors have compromised the accuracy of these metrics.

You should take engagement metrics (like ‘Average Engagement Time per Active User’ ) reported by GA4 with a significant degree of scepticism when gathered via client-side tracking, as most of them could be highly inaccurate.
Various factors like ad blockers, privacy extensions, and consent settings have compromised the accuracy of these metrics.
Engagement metrics require continuous tracking of user behaviour over time. This makes them more susceptible to disruptions caused by client-side tracking issues.
Avoid reporting these metrics as definitive unless additional validation or triangulation with other data sources exists or you have switched to server-side tracking.
Even with server-side tracking, it is crucial to maintain additional validation with other data sources (like server logs, CRM, other web analytics tools) to ensure the accuracy of engagement metrics.
If engagement metrics are your business KPIs, the transition to server-side tracking is not only beneficial but necessary for accurate decision-making.
Educate Stakeholders that almost all engagement data gathered via client-side tracking in GA4 could be completely wrong.
How do ad blockers and the rest exactly skew the avg. time on site, in technical terms?
By blocking scripts and causing GA4 event delays.
Ad blockers can significantly reduce page load times by blocking tracking and ad scripts before they load.
Faster load times can lead to longer actual engagement, as users spend less time waiting and more time interacting with content.
This increased engagement is not always accurately reflected in analytics due to blocked or compromised tracking.

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