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

Does Statsig have a way of determining when the site is being crawled by search engines and how does this affect stable ID experiments?

Statsig has implemented measures to track bot traffic, including search engine crawlers, which can significantly inflate the number of stable_ids, making your user base appear larger. However, these bots typically do not trigger any events and therefore do not contribute to metrics. As a result, this behavior should not impact the computation of lift or the estimate of the confidence interval in most cases.

In some instances, bots may cause SRM issues. If you observe this, it could potentially be bot-related. To mitigate this, you can manually add filters to exclude bots using a targeting gate. For instance, a filter that excludes traffic where the browser contains "bot" can be quite effective.

While Statsig is actively working on a more comprehensive approach to handle bot traffic, it is currently recommended to use any deterministic detection on your side to filter out bot traffic. This can help align the exposure data more closely with other analytics tools and ensure that bot traffic does not affect the Stable ID assignments or the experiment results.

Please note that the impact of bot traffic should be evenly distributed between control and test, so any impact should cancel out. However, if you have further questions or need more specific advice, please reach out for assistance.

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What builders love about us

OpenAI OpenAI
Brex Brex
Notion Notion
SoundCloud SoundCloud
Ancestry Ancestry
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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