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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 prevent Statsig experiment variations from being crawled or indexed by bots?

Date of slack thread: 7/24/24

Anonymous: Hi y’all. Can you point me to guidance on how we can ensure our Statsig experiment variations are not crawled, indexed/cached by googlebot and other search crawlers?

Tarandeep Singh (Statsig): Robots.txt or meta tags wouldn’t be an option since our variations won’t be on separate URLs.

Anonymous: Hi Tarandeep, We have been looking closer at bots and how they affect Statsig data; your feedback is helpful. I would recommend setting up a targeting gate for your experiments that filters out bots. You can do this by creating a gate called “No Bots”, add a rule that Fails known bots by browser name (see screenshot). If you need a list, our internal data says these are the top 20 self-identified bots by browser_name. The top 4 account for 75% of traffic we see across Statsig customers. ‘Googlebot’, ‘AdsBot-Google’, ‘Applebot’, ‘FacebookBot’, ‘bingbot’, ‘PetalBot’, ‘AhrefsBot’, ‘YandexRenderResourcesBot’, ‘BitSightBot’, ‘YandexBot’, ‘Storebot’, ‘com/bot’, ‘net/bot’, ‘pingbot’, ‘adsbot’, ‘PingdomBot’, ‘SmarshBot’, ‘VirusTotalBot’, ‘UOrgTestingBot’, ‘Monsidobot’ Good luck.

Anonymous: Thanks. I will look at this.

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Brex Brex
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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.
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.
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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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