Open source feature flagging and experimentation platform for stress free deployments, measured impact, and smarter decisions.

GrowthBook Users

Changing the attribute may cause the user to get included or excluded from an experiment - but if the initial state is included, the trackingCallback will fire, and you'll see that user in the analysis

sounds like what you want is activation metrics

I see, so updating attributes won't retroactively update analysis?

I'll check out activation metrics

I'm actually thinking of using Segments rather than activation metrics here.

Seems like activation metrics are event based, but our filter is on a user property. I guess we could pass setting the property as an event also, but that seems redundant.

The identifier type for the segment is 'distinct_id' while the feature targeting attribute is 'id'. Would the difference here be an issue?

you'll be able to see the query GrowthBook generates