What is Monthly Active Users?
Number of unique users engaging monthly.
How to calculate it
Calculate Monthly Active Users as: Count of unique users active per month. Pull the inputs from your connected data and track the trend over time in your dashboard.
Examples
Example 1
30,000 unique users active this month -- your reach metric, paired with stickiness.
Example 2
30,000 unique users are active this month against 26,000 last month -> 15% MoM growth in reach, with stickiness holding at 27%.
Why it matters
Monthly active users (MAU) counts the unique users engaging each month and is the standard measure of product scale and reach. It frames the overall size of the engaged audience and pairs with DAU to assess habit formation. Double-counting users across devices inflates it, so deduplication matters.
Benchmark context
Focus on the growth rate and on stickiness (DAU/MAU); the absolute level is meaningful only relative to your market and stage.
Common pitfalls
Double-counting across devices.
The complete guide
Understanding Monthly Active Users
Monthly active users (MAU) counts the unique users engaging each month and is the standard measure of product scale and reach. It frames the overall size of the engaged audience and pairs with DAU to assess habit formation. Double-counting users across devices inflates it, so deduplication matters. For context, focus on the growth rate and on stickiness (DAU/MAU); the absolute level is meaningful only relative to your market and stage. Treat an external benchmark as a reference point rather than a universal target: company stage, sector, customer mix, pricing model and measurement definitions can materially change what “good” looks like. Read Monthly Active Users alongside DAU and DAU/MAU Ratio; together these measures provide a more balanced view and reduce the risk of optimizing one number at the expense of the wider outcome.
Define every included record and value consistently, and reconcile the total to its source system before comparing periods. Deduplicate users, define what qualifies as active or successful behavior, and version event tracking when the product changes. Define the qualifying user and meaningful product event before calculating the metric, then compare cohorts by signup date, plan, persona and acquisition source. A dashboard should show the current value, prior-period comparison and a trend rather than presenting one isolated reading.
Use cohort analysis and experiments to connect the metric to specific product behaviors, then remove friction around the actions that most reliably predict activation, repeat value and retention. Common pitfalls: double-counting across devices. Record the definition beside the dashboard, review it when systems or processes change, and annotate unusual events so future readers can distinguish a genuine performance shift from a data or timing effect.
Sources and further reading
- A guide to product metrics
Mixpanel Accessed
- Important product metrics to track
Amplitude Accessed
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