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Differences in Event Count Between BigQuery and GA4 UI
Hey there! I’m grappling with a bit of a mystery and I’m curious if anyone else has stumbled on this before or has any insights. So, here’s the scoop: I’ve been working with GA4 data in Bigquery, right? And my main mission has been to check the data against what I see on the Google Analytics UI.
Well, strange things are afoot! In pretty much every instance, the Bigquery data is showing me almost twice the count of recorded events that I see on GA4. Is there something different about how I should count events? It seems like it should be straightforward – count the event rows, right?
Here’s a basic example. I counted all the leads from May 20, 2023 with this simple query:
SELECT COUNT(*) FROM
mydataset.events_20230520
The result? A whopping 100690 events via BigQuery. But when I checked the GA4 UI for the same date, it was showing me just 30000 events. So, it seems my BigQuery count is more than triple that of GA4. Wacky, right?
I also compared some data for the same period in both Engagement > Events and Acquisition > User Acquisition, and most of the numbers seem to line up, except for the Bigquery Event Count, which again was about 3X larger.
Regardless of how I arrange my views, BigQuery consistently seems to bring back triple the event count. So, is it me? Is there a different way I should be counting events? How does GA4 do it? Are there any event types I might want to exclude from the total? Or is this a riddle wrapped in a mystery inside an enigma that I just need to accept? Would love to hear any thoughts!
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