Monthly Active Users
What are Monthly Active Users (MAU)?
Monthly Active Users (MAU) is a metric for app businesses to discover the number of unique users their app gains within a specified 30-day span. Brands typically track MAU using a unique identifier such as a user ID, username, or email address. The precise definition of an active user may differ based on the specific industry or business objectives. To clearly understand the user engagement on the app, it is essential to analyze MAU as per DAU (Daily Active Users).
What are the main components determining MAU?
- UsersTo determine MAU, you must engage in some activity within a 30-day timeframe, such as logging in, completing a specific task, or executing a particular task. A user is considered unique and only counted once, regardless of the number of times they have logged in.
- ActionThe actions that qualify a user as a MAU are decided by your business, with the most common being opening the app or logging in for easier measurement and comparison.
- Time frameWe evaluate either the past month or the 30 days preceding a specific event when determining MAU.
How to calculate average MAU?
The formula to calculate the average monthly active users in a period of 12 months is as follows
Steps to consider before calculating MAU
- Determine parameters for active usersDefining an active user based solely on log-in is limited in providing insight into the usage of your app. A more informative definition would be a user who carried out a specific action within the app. The vaguer the definition of an active user, the less clear the data will be when tracking changes in monthly active users (MAU).
- Determine frequency for user engagementMonitor how frequently the user engages with your app.
- Gather meaningful dataUse powerful analytics tools to gather data and add the number of distinct users who meet your active user criteria for a selected day and then for the month. It's crucial to remember that the aim is to measure unique users only.
Contents
What are Monthly Active Users (MAU)?
What are the main components determining MAU?
How to calculate average MAU?
Steps to consider before calculating MAU
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