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 does Statsig bill for different types of events?

Date of slack thread: 8/7/24

Anonymous: This message was deleted.

Statbot: Statsig bills for events in several situations:

  1. Exposure Events: When you check a user for assignment in a Feature Gate or Experiment, or check for a value using a Dynamic Config. Duplicate checks within an hour for the same user and feature/experiment are not billed. Checks against disabled Feature Gates or users not participating in an experiment due to allocation or targeting are also not billed source.
  2. Custom Events: When you log an event using the Statsig SDK, import from your data warehouse, or ingest from your data collector. Each event is billed once, regardless of the number of experiments it is used in source.
  3. Precomputed Metrics: When you provide precomputed values to Statsig from your data warehouse source.
  4. Custom Metrics: When you create custom metrics using existing events or metrics source.

For more detailed billing information, you can refer to the Usage and Billing tab within your Project Settings to see what gates/experiments or events are contributing to your event volume source.

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Why the best build with 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.
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.
Brex
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.
SoundCloud
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.
Ancestry
Partha Sarathi
Director of Engineering
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