What Is Monthly Active Users? The Engagement Metric Explained
Monthly active users is an engagement metric that counts the number of unique users who performed at least one meaningful action in your product within a 30-day window — making it the most commonly reported headline engagement figure for consumer apps, B2B SaaS, and marketplaces.
Learn what the metric measures, how it differs from daily and weekly active users, what the DAU/MAU ratio reveals about product stickiness, and how to track it from your product event data.
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Upload your spreadsheet.xlsx .xls .csv — free to try, no accountWhat this export contains
| User ID |
| Event Name |
| Event Date |
| Session |
| Feature |
| Plan |
| Country |
| Device |
| Days Active (Month) |
| Last Active Date |
What usually goes wrong with it
The definition of 'active' varies by team and skews comparisons
Some teams count any login as an active event, while others require a meaningful action like completing a task, sending a message, or making a purchase. The difference in definition can produce wildly different counts from the same underlying data.
DataMimi Define 'active' as a specific meaningful action relevant to your product's core value — for a SaaS tool, that might be a file uploaded, a report generated, or a key workflow completed — rather than an
The monthly count alone doesn't reveal engagement quality
A user who logged in once in 30 days counts the same as one who used the product 28 of those days — the aggregate number doesn't distinguish casual from power users, which is why the DAU/MAU ratio is the more useful engagement signal.
DataMimi Calculate the DAU/MAU ratio by dividing daily active users by the monthly count — above 20% is considered good stickiness for most apps, above 50% is exceptional and typical of daily-use tools like Sl
Tracking the metric accurately requires consistent event logging in the product
Calculating it reliably requires a clean event log with user IDs, event dates, and defined 'active' event types — teams without consistent instrumentation often find their counts are unreliable or incomparable across time periods.
DataMimi Track it in a spreadsheet by counting distinct users per month from your event log, segmented by plan and feature — upload to Datamimi to ask 'which feature has the highest engagement ratio' without w
Common questions
What is monthly active users and why does it matter for product teams?
Monthly active users is an engagement metric that counts unique users who performed a defined meaningful action in your product within a 30-day window. It matters because it represents the active community using your product — not just registered accounts — and drives decisions about growth, retention, and feature investment.
What is the DAU/MAU ratio and what does it indicate?
The DAU/MAU ratio divides daily active users by the monthly count to measure how often users return. Above 20% indicates reasonable stickiness for most apps; 50%+ is typical for daily-use tools like messaging apps. A declining ratio indicates engagement is weakening even if the absolute count grows.
How do I track monthly active users in a spreadsheet?
From your event log, filter events by month, then use a COUNTUNIQUE formula on the User ID column for each month. Create a monthly summary table to track the count over time and calculate DAU/MAU from daily event counts alongside it.
What does Datamimi cost for product engagement tracking?
Datamimi's Free plan is $0/month with 40 credits and no credit card needed. Paid plans: Lite $9/month (400 credits), Starter $24/month (1,500 credits, 3 files), Pro $59/month (5,000 rollover credits), Team $199/month (20,000 credits, 5 users).
Try it with your own file
DataMimi reads the file you actually have — merged cells, headers below row one, totals pasted at the bottom — and shows which rows and columns every number came from.
Ask about your fileMore in AI spreadsheet analysis
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