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

Can Statsig analyze the impact of an experiment on CLV after a longer period, like 6 months?

In a subscription-based business model, understanding the long-term impact of experiments on Customer Lifetime Value (CLV) is crucial.

Statsig provides the capability to analyze the impact of an experiment on CLV over extended periods, such as 6 months. To facilitate this, Statsig allows for the setup of an experiment to run for a specific duration, such as 1 month, and then decrease the allocation to 0%, effectively stopping new user allocation while continuing to track the analytics for the users who were part of the experiment.

This tracking can continue for an additional 5 months or more, depending on the requirements. It is important to note that the experience delivered to users during the experiment will not continue after the allocation is set to 0%. However, there are strategies to address this, which can be discussed based on specific concerns or requirements.

Additionally, Statsig experiments by default expire after 90 days, but there is an option to extend the experiment duration multiple times for additional 30-day periods. Users will receive notifications or emails as the expiration date approaches, prompting them to extend the experiment if needed.

This functionality is available on the Pro plan, ensuring that businesses can effectively measure the long-term impact of their experiments on CLV without direct integration with a data warehouse and by updating CLV through integrations such as Hightouch.

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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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