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 incorporate an app version check into Statsig experiment variants?

Incorporating an app version check into Statsig experiment variants can be achieved using Feature Gates or Segments. Here are the steps you need to follow:

1. Capture the Initial App Version: The first step is to capture and store the initial app version that a user starts using. This information is crucial as it will be used to determine whether a user is new and started using the app from a specific version onwards.

2. Use Custom Fields for Targeting: The next step is to use Custom Fields for targeting. This will require some code on the client-side that passes in user upgrade/create timestamps as a custom field.

3. Pass the Initial App Version as a Custom Field Key: You need to pass the value for users who started using the app as new users from a specific version as the Custom Field Key.

4. Configure the Custom Field Key: Once you create the key, configure it using the "Greater than or equal to version" operator. This operator checks the current version of the user's app.

For your specific case, you can create two separate experiments or feature gates. One for users on app version 1, where the variants are v1 and v2, and another for users on app version 2, where the variants are v1 to v4. You can then use the app version as a custom field for targeting.

Please note that the Key set in the Custom Field will be included in the events called by Feature Gates. However, it's not a chargeable event. It's just attributes that will be in the payload for events you're already tracking.

Join the #1 Community for Product Experimentation

Connect with like-minded product leaders, data scientists, and engineers to share the latest in product experimentation.

Try Statsig Today

Get started for free. Add your whole team!

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
We use cookies to ensure you get the best experience on our website.
Privacy Policy