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

How to create custom metrics to track purchases/revenue in Statsig?

To create a custom metric to track the sum of your "Donation" event values in Statsig, follow these steps:

1. Navigate to Metrics from the left-hand navigation panel, then to the Metrics Catalog tab. Click on the Create button.

2. In the Metric Type, select "Aggregation". This type allows you to compute the Sum or Average of the value or metadata property of an event type.

3. For the Event Type, select "Donation".

4. For the ID Type, select "userID" or "stableID" depending on your use case.

5. For the Aggregation Type, select "Sum".

6. For the Field, select "value". This will sum up the values you logged with your "Donation" events.

7. You can also add filters if you want to limit this metric to specific conditions, such as a certain currency.

8. Finally, give your metric a name and save it.

Please note that after you create a custom metric, it will not populate until the next day and will not backfill to previous days. Statsig will only calculate it moving forward from the creation date.

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What builders love about us

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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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