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Unfortunately, as the query and data table are blurred out for privacy reasons, it’s challenging to provide an exact solution without knowing the structure of the tables and how you’re calculating each metric. However, I can suggest a few potential reasons and strategies you may want to explore to identify the source of discrepancy.
Firstly, you may want to ensure that your engagement rate formula in BigQuery is equivalent to how GA4 calculates this metric. Some systems consider only unique users in the calculation, while others may include every interaction, possibly leading to an artificial inflation of your results.
Secondly, consider whether all the underlying data is included in your GA4 result and in your BigQuery results. For instance, any data filtering, selective inclusion, or exclusion you’re unintentionally doing either in GA4 or in your BigQuery query could result in differences.
Lastly, examine the timing of your queries. If your query is not in real-time, you might be factoring in more recent data in BigQuery that hasn’t been accounted for in GA4, hence resulting in the difference.
Hope these points guide you towards fixing the discrepancy!
