hey all, we have an experiment running with 3 variants tracking one conversion metric (number of taps). we're running exact same query in our big query database and in growthbook to track our conversion metric, but we're only seeing about 33% of the conversions (number of taps) in the growthbook dashboard reporting experiment results than what we're seeing in our raw dataset. is there any data manipulation/filtering/aggregation happening at the experiment results level that would explain this, or any other reason why we are missing so many tile taps in our experiment dashboard vs our raw dataset?

Hi Jo, I am a data scientist at GrowthBook. Potential manipulation/filtering/aggregation include: 1. metric windows 2. capping 3. funnel metrics If these are not the answer, are you seeing the same denominator counts in your Big Query database vs those shown on the Results page? Thanks, Luke

thanks for your quick response Luke, i will look into this and get back to you!