Frequently Asked Questions

A curated summary of the top questions asked on our Slack community, often relating to implementation, functionality, and building better products generally.
Statsig FAQs
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GENERAL

How can we limit feature gate exposure events sent to Mixpanel to avoid hitting data limits?

Date of slack thread: 6/13/24

Anonymous: Hey Statsig! We’ve set up the integration so our Feature Gate exposures are sent as events to Mixpanel. The issue we face now is, within just a few weeks of turning this on, upwards of 35M gate exposure events have been sent to Mixpanel and we’re reaching our data limits well before we expected to. Is there any way (or can we please submit a feature request) to have the ability to limit events, where we specify which gates we want events tracked for, rather than turning tracking on for all of them? Thank you!

Kenny Yi (Statsig): Hey Kelly, I’ve added you to an early test group that grants you access to some additional filters. This includes tags. So you can tag the gates you want to be forwarded, and then configure the integration to only enable that tag.

Anonymous: Amazing thanks so much Kenny! That sounds like exactly what we need

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At OpenAI, we want to iterate as fast as possible. Statsig enables us to grow, scale, and learn efficiently. Integrating experimentation with product analytics and feature flagging has been crucial for quickly understanding and addressing our users' top priorities.
OpenAI
Dave Cummings
Engineering Manager, ChatGPT
Brex's mission is to help businesses move fast. Statsig is now helping our engineers move fast. It has been a game changer to automate the manual lift typical to running experiments and has helped product teams ship the right features to their users quickly.
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Karandeep Anand
President
At Notion, we're continuously learning what our users value and want every team to run experiments to learn more. It’s also critical to maintain speed as a habit. Statsig's experimentation platform enables both this speed and learning for us.
Notion
Mengying Li
Data Science Manager
We evaluated Optimizely, LaunchDarkly, Split, and Eppo, but ultimately selected Statsig due to its comprehensive end-to-end integration. We wanted a complete solution rather than a partial one, including everything from the stats engine to data ingestion.
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Don Browning
SVP, Data & Platform Engineering
We only had so many analysts. Statsig provided the necessary tools to remove the bottleneck. I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig.
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Partha Sarathi
Director of Engineering
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