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 we seeing double the number of billable events for the previous day across different clients?

In response to concerns about an unexpected increase in billable events, it is important to note that Statsig has robust mechanisms in place to prevent the duplication of billable events.

For client SDKs, Statsig ensures that only one billable unit is counted within a one-hour window, while for server SDKs, this window is reduced to one minute. This effectively means that multiple exposure events for the same stable ID within these time frames do not lead to additional billable units. An increase in billable events could potentially be attributed to a rise in unique user interactions or an uptick in the usage of feature gates, experiments, or dynamic configs.

Users are advised to monitor their billing through the billing page under project settings, which provides aggregated information at the gate/test level. In cases where discrepancies are observed, reaching out to the Statsig team is recommended for a detailed investigation.

Additionally, it has been noted that for certain plans with unlimited gate checks, the plan may not have been correctly applied to a project. Once rectified, the billing page will reflect a significant number of events left, with most gate checks being free.

It is also clarified that only gate checks on rules that are partially open and have analytics enabled are billed.

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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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