The pros are:
* full SQL access to the data via BigQuery
* simple to set up (yes, you have to write custom code; but a basic implementation is on the order of a couple dozen of lines of code)
* we have full ownership of the data across the pipeline (better for user privacy than using another 3rd party)
Prior to this we used Google Analytics, but their paid solution is too expensive for us and their analytics/aggregation API (though quite powerful) samples a subset of the data which was not acceptable for some of our use cases.
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