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

Why are event counts different between Statsig and GA4?

When comparing event counts between Statsig and GA4, it is important to consider the potential for discrepancies due to time zone differences.

Statsig operates on a default day that starts at GMT-8 (Pacific Standard Time) and maintains this standard throughout the year, without adjusting for daylight savings time. This can lead to differences in daily event counts when compared to other platforms that may use different time zones for their reporting.

Additionally, the methodologies for logging and processing events can vary between Statsig and GA4, which might contribute to the observed discrepancies. It is also crucial to check for any filters or exclusions that may be applied within either platform, as these can affect the event counts.

If discrepancies continue to be significant, a thorough review of the event logging code is recommended to ensure that events are being logged accurately and consistently across both platforms. In cases where the issue persists, reaching out to the Statsig support team for further assistance is advised.

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What builders love about us

OpenAI OpenAI
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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.
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.
Karandeep Anand
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.
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.
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.
Partha Sarathi
Director of Engineering
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