Active Users

Definition of active users

What are active users?

Active users are individuals who engage with a digital product or service within a specific timeframe, such as daily, weekly, or monthly. This metric measures user engagement and provides insights into the overall health of your digital product. By tracking active users, you can understand how frequently people are interacting with your offerings.

Why track active users?

How active users influence business decisions

  • Informs strategies: Use data to shape marketing and product development. Explore Weekly Active Users (WAU).

  • Resource allocation: Focus on features that drive user engagement. See all Features.

  • Growth forecasting: Plan for scalability based on user trends. Learn how Statsig Works.

Examples of active users metrics

Daily active users (DAU)

DAU measures unique users engaging daily. For instance, track daily logins on a social media app. For more detailed information, you can check the definition of a Daily Active User and understand how Statsig tracks this metric.

Weekly active users (WAU)

WAU counts unique users interacting weekly. Example: users checking a news site at least once a week. For an in-depth explanation, you can refer to Statsig's Weekly Active Users definition and see how it is implemented.

Monthly active users (MAU)

MAU tallies unique users engaging monthly. For example, users making purchases on an e-commerce platform within a month. To get a comprehensive understanding, you can look at the Monthly Active Users metric on Statsig and explore the Statsig Glossary for MAU.

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OpenAI OpenAI
Brex Brex
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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
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Brex
Karandeep Anand
President
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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
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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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