What it means
The number itself is simple, but the definition of "active" is where the judgement lies. Every company sets its own qualifying action, which might be logging in, opening the app, sending a message or completing a transaction, and the choice can swing the reported figure enormously.
MAU matters because it separates people who signed up from people who show up. Registered accounts accumulate forever and flatter the story, whereas active users reset every month and therefore reflect whether the product is still earning attention.
In practice MAU is rarely read alone. It is paired with daily active users to produce a stickiness ratio, and with revenue to produce average revenue per user, because reach without engagement or monetisation tells you very little about the health of the business.
The metric drives real decisions. Investors value consumer and software companies partly on active user growth, sales teams size their market from it, and product teams use it to judge whether a new feature widened the audience or merely entertained the users they already had.
The common nuance is inflation of the number through loose definitions. Counting a user as active because a background notification loaded, or because they briefly opened an email, produces a figure that grows nicely and predicts nothing about revenue.
In practice
Real-world examples.
Example
A fitness app reports 850,000 MAU but only 60,000 daily active users, a stickiness ratio of about 7%. The product team concludes that most people use it as an occasional log rather than a daily habit and redesigns notifications around weekly goals instead.
Example
A business intelligence vendor counts an active user as someone who runs at least one query. When it tightens the definition to exclude scheduled reports that run automatically, MAU falls from 41,000 to 27,000, and the honest number turns out to be a far better predictor of renewals.
Example
A food delivery platform grows MAU by 30% after a discount campaign, then watches it fall back within two months. The finance team calculates that acquiring those temporary users cost more than they ever spent, and the campaign is not repeated.
Formula
Calculation
MAU = the count of unique users performing a qualifying action in a 30-day window; Stickiness = DAU / MAU; ARPU = monthly revenue / MAU
A project management application defines an active user as anyone who opens a project board at least once. In September it recorded 120,000 unique such users, and its average daily active user count across the month was 24,000. Stickiness is therefore 24,000 / 120,000 = 0.20, or 20%, which means the typical active user shows up on about six days out of thirty. With $480,000 of subscription revenue that month, average revenue per active user is $480,000 / 120,000 = $4.00, so a plan to grow MAU by 25,000 users would be worth roughly 25,000 x $4.00 = $100,000 of additional monthly revenue if the mix held steady.Case study
Seen in the real world.
Lumen Notebook is an invented note-taking product used purely as an illustrative example. It reported 200,000 MAU to its board every quarter and celebrated steady growth, defining an active user as anyone whose device synced with the servers at least once in the month.
A new head of analytics pointed out that syncing happened automatically in the background, so a phone in a drawer with the app still installed counted as an active user. Re-running the numbers using a stricter definition of opening the app and viewing or editing a note gave 78,000 genuine monthly users, and revenue per real user jumped from $1.10 to $2.82.
The board's first reaction was alarm, but the restated figure gave the company a far clearer picture. It stopped spending on installs that never became use, focused on the behaviour that actually preceded a paid upgrade, and in this illustrative account grew the honest number by 40% over the following year.
Watch out
Common mistakes.
- Comparing your MAU with a competitor's without checking that both companies define "active" the same way, which they almost never do.
- Treating registered accounts or app downloads as active users, since the two figures can differ by an order of magnitude.
- Optimising for MAU alone, which encourages growth tactics that add casual visitors while engagement and revenue per user quietly deteriorate.
Questions
People also ask.
Is a 30-day window the same as a calendar month?
Not necessarily; many companies use a rolling 30-day window that updates daily, which smooths out the distortion caused by months of different lengths.
What is a good stickiness ratio?
It depends entirely on the product, but daily-use tools such as messaging apps often exceed 50%, while tools used weekly or occasionally may sit closer to 10% to 20% and still be healthy.
Should a B2B company track MAU?
Yes, though usually alongside account-level metrics, because seat-level activity within a customer is the earliest reliable warning of a renewal at risk.
From the founder's library
Take it further with the book.
Build your financial confidence beyond this definition. Shihan's full-length guide, Accounting Fundamentals, takes the same plain-English approach and turns it into a complete, practical playbook for non-finance managers, business owners and students - with chapter-end quiz answers and presentation slides included.
25% off with code MMHQ25, applied at checkout. Priced in USD - checkout may show the equivalent in your local currency.
View the book and save 25%Related