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 support experimenting with and maintaining copy, such as email subject lines, using multi-armed bandits or other selection algorithms?

Statsig does indeed support experimenting with different elements such as email subject lines. You can create an experiment in Statsig and define multiple variants, each with a different subject line. This is essentially an A/B/n test where 'n' represents the number of different subject lines you want to test.

As for the use of multi-armed bandits or other selection algorithms to rotate through a pool of copy, Statsig does support multi-armed bandit tests. However, it's not explicitly stated in the documentation if this can be applied to rotating through a pool of copy.

You can use Experiments or Autotune in your email campaigns. Autotune is Statsig's implementation of the multi-armed bandit approach. For more information on Autotune, you can refer to the Autotune documentation.

For a practical example of how to use Experiments or Autotune in email campaigns, you can refer to this walkthrough guide.

For more specific guidance on your use case, it would be best to reach out to the Statsig team directly. They can provide more detailed information and help you set up your experiment in the most effective way.

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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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