Tracking app success goes beyond just counting downloads. If you really want to understand how well your app or game is performing, you need to look deeper—at user engagement. One of the best ways to measure this is through monthly active users.
MAU is a powerful metric that reveals whether people find real value in your mobile app or game. Knowing your monthly active users can help you pinpoint strengths, identify weaknesses, and plan for growth.
It’s crucial if you want long-term success.
In this article, you’ll learn exactly what monthly active users mean, why they’re especially important in mobile games and apps, and how you can use this data to drive better decisions and stronger results.
What is MAU?
MAU stands for monthly active users. It refers to the number of unique users who engage with your app or game at least once in a 30-day period.
This makes monthly active users one of the most widely tracked engagement metrics in mobile marketing because it gives you a clear snapshot of active interest rather than just passive downloads.
Why It Matters for Mobile Apps and Games
For mobile apps and games, measuring monthly active users goes beyond simply showing popularity. It provides crucial insights into how consistently users return to your app, indicating real and ongoing interest.
High monthly active user numbers often signal strong retention and potential for monetization, as engaged users are more likely to spend money, watch ads, or subscribe.
Tracking MAU helps you assess your app’s health and longevity. It’s a reliable indicator for identifying if your product truly resonates with users, guiding improvements in user experience, monetization strategies, and overall app growth.
MAU vs DAU vs WAU – What’s the Difference?
When discussing engagement metrics for mobile apps and games, you’ll frequently hear about daily active users (DAU) and weekly active users (WAU), alongside monthly active users (MAU).
While these metrics are closely related, each one offers a distinct view into user behavior.
Breaking Down the Metrics
Daily Active Users (DAU) measures how many unique users interact with your app within a single 24-hour period. DAU helps you gauge daily habits and routine engagement—essential for apps that thrive on daily use like social media, messaging, or casual games.
Weekly Active Users (WAU) captures unique users who engage with your app at least once during a 7-day period. WAU is ideal if your app naturally aligns with weekly use cycles, such as productivity apps or certain types of lifestyle apps.
Monthly Active Users (MAU), as you already know, tracks unique user engagement across an entire 30-day window. This broader metric is ideal for apps and games that aren’t necessarily used daily but still maintain consistent engagement over longer periods.
When to Use Each Metric
- Use DAU if your app or game heavily depends on daily interaction and short sessions. It’s especially valuable for hyper-casual games or social apps.
- Opt for WAU if your app serves specific needs on a weekly basis, such as planning apps, habit trackers, or fitness apps.
- Track MAU to get a clear picture of overall engagement, retention, and user base stability. MAU works particularly well for midcore games, subscription-based apps, and services where users interact regularly but not necessarily daily.
Why Monthly Active Users is a Strong KPI to Track
When measuring the success of mobile apps and games, monthly active users stands out as one of the most important key performance indicators (KPIs). Here’s why it’s essential to track and analyze MAU:
Reflects True User Engagement
Unlike download numbers, monthly active users show actual interaction and ongoing interest.
It tells you if users genuinely find your app valuable enough to return regularly.
For example, having one million downloads might look impressive, but if only a small fraction become monthly active users, it indicates a significant issue with retention or app experience.
Direct Connection to Revenue
Higher MAU numbers typically translate to greater revenue potential. Whether your app generates income through ads, subscriptions, or in-app purchases, consistent user engagement is critical for monetization.
Regularly tracking monthly active users can help you forecast potential earnings and identify opportunities to optimize monetization strategies.
Reliable Benchmark for Growth
Tracking monthly active users month-over-month allows you to clearly see trends in your app’s growth and performance. It helps you understand if your user acquisition efforts, product updates, or marketing campaigns are genuinely effective.
For example, a steady rise in MAU signals your app is attracting new users and retaining current ones, pointing to strong overall health.
How to Calculate Monthly Active Users Properly
Accurately calculating your monthly active users is crucial. If your data isn’t precise, your analysis could lead to misguided decisions.
Here’s how you do it right:
Basic MAU Formula
The formula to calculate MAU is straightforward:
Monthly Active Users = Total number of unique users who interacted with your app within a 30-day period
This interaction can be anything from opening the app, starting a session, or performing specific actions within the app.
Tips for Accurate MAU Calculation
To ensure accuracy, keep these best practices in mind:
- Identify Unique Users Clearly:
Always use a unique identifier such as user IDs or device IDs to avoid counting the same user multiple times. - Filter Out Irrelevant Data:
Exclude interactions from bots, automated scripts, test accounts, and internal teams. This ensures you’re only tracking genuine user engagement. - Define “Active” Consistently:
Clearly define what qualifies as an “active” interaction. Does it mean just opening the app, or should it include specific in-app actions? Be consistent month-to-month to keep comparisons valid.
Recommended Analytics Tools to Track Monthly Active Users
To simplify and streamline MAU tracking, consider using analytics platforms such as:
- Google Analytics 4: Ideal for cross-platform tracking, GA4 provides detailed insights into user behavior, engagement rates, and retention metrics.
- Firebase Analytics: Especially popular among mobile apps and games, Firebase offers robust tools for measuring user interactions, retention, and engagement patterns.
- Mixpanel: Known for its deep-dive capabilities, Mixpanel allows you to define and track custom user events and interactions precisely.
- Amplitude: Particularly strong at tracking user journeys and behaviors, Amplitude helps you pinpoint exactly how users engage with your app, making it easy to measure monthly active users and retention accurately.
Using these analytics tools ensures your MAU data is accurate, accessible, and actionable.
Now that you have accurate monthly active user data, let’s explore exactly how this metric complements others like daily active users (DAU) to unlock deeper insights.
MAU + DAU: Why You Should Track Both
Measuring monthly active users alone provides valuable insights, but pairing it with daily active users (DAU) can unlock even deeper understandings about your app or game’s engagement.
Understanding User Stickiness
Combining these two metrics gives you what’s known as the stickiness ratio:
Stickiness Ratio = Daily Active Users ÷ Monthly Active Users
This ratio shows how frequently your users return.
A high stickiness ratio means a significant portion of your monthly users engage with your app daily—a strong indicator of habit formation and user satisfaction.
For instance, if your game has 500,000 daily active users and 2 million monthly active users, your stickiness ratio is 25%, indicating that about a quarter of your monthly audience engages daily—a great sign for consistent retention.
Layered Insights for Better Decision-Making
Tracking monthly and daily active users together helps identify both broad engagement patterns and daily user habits.
- Monthly active users tell you the scale and reach of your app or game.
- Daily active users indicate routine and frequent engagement.
Together, these metrics reveal whether you have a loyal user base or if users are losing interest quickly after installation. This combined view helps you pinpoint where you should focus