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Monthly Active Users (MAU)

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The number of unique users who engage with an app at least once in a 30-day period. A core metric for measuring app growth and retention.

What are monthly active users (MAU)

Monthly Active Users, often abbreviated as MAU, is a key metric used to measure the number of unique users who engage with an app at least once within a 30-day period. It provides a snapshot of the app’s active audience and is widely used by product managers, marketers, and investors to understand the app’s reach and engagement over time.

Why MAU is important

MAU is a core indicator of app growth and user retention. Unlike total downloads or installs, which measure interest, MAU focuses on actual user activity and engagement. By tracking MAU, businesses can assess whether users continue to find value in the app and whether marketing efforts are translating into sustainable, recurring engagement.

How MAU is measured

Monthly Active Users, or MAU, is a key metric used to track the size and engagement of an app’s audience over time. It represents the number of unique users who interact with the app during a rolling 30-day period. Unlike total sessions or visits, MAU counts each user only once within this timeframe, providing a clear picture of the app’s active user base without inflating numbers due to repeated usage.

Interactions that qualify a user as active can vary depending on the app’s objectives and definition of engagement. Common actions include opening the app, completing in-app tasks, making purchases, viewing content, or performing other meaningful events that indicate genuine usage. By focusing on unique users rather than total activity, MAU helps marketers and product teams understand user engagement levels, retention trends, and overall audience health.

Best practices for using MAU

  • Track MAU consistently over time to monitor trends and changes in user engagement.

  • Segment MAU by user cohorts to understand behavior patterns among different groups.

  • Break down MAU by geography to identify regional engagement differences.

  • Analyze MAU by device type to optimize app performance and user experience.

  • Attribute MAU to marketing sources to evaluate the effectiveness of campaigns.