Monthly active users (MAU)

Monthly active users (MAU) are the number of unique users who take a meaningful action in your app, site, or product within a 30-day window. It’s one of the most widely tracked growth metrics in digital marketing, and the headline number in board decks, investor updates, and quarterly reviews.

MAU is only as useful as the definition behind it. Count every app open as “active,” and you’ll inflate the metric. Define activity around real value: a completed session, a purchase, a finished level. Do that, and MAU becomes a reliable signal of how many people your product actually reaches each month.

MAU sits at the intersection of user acquisition and retention. Every new install can add to it. Every churned user subtracts from it. That makes MAU a fast way to answer one question: is your active audience growing, flat, or shrinking?

Three reasons it earns its place in the reporting stack:

• Scale measurement. Downloads are a lifetime total that only goes up. MAU is a live count of the audience you can actually reach and monetize this month.
• Revenue forecasting.  ARPU and ARPDAU both depend on an accurate active user count. MAU is the denominator that turns revenue into a per-user efficiency metric.
• UA efficiency. If ad spend is climbing but MAU is flat, you’re churning users as fast as you acquire them. Comparing MAU growth against customer acquisition cost shows whether growth is real or a leaky bucket.

The formula is straightforward:

MAU = the number of unique users who performed a qualifying action in the last 30 days

Three steps make it accurate.

1. Define “active.” Pick an action that represents real value delivered, not just an app open. For a fitness app, a completed workout. For a game, a finished session or level. For fintech, a login plus a transaction. Track it as an in-app event so the definition stays consistent as the product changes.
2. Count unique users. Deduplicate across devices and platforms. Someone who engages on iOS, Android, and web is one active user, not three, which is why cross-device attribution matters for an accurate count.
3. Hold the window steady. Use a rolling 30-day window or a calendar month. Either works. Switching between them turns your trend line into noise.

MAU is one of three standard active user metrics, and each fits a different engagement rhythm.

• Daily active users (DAU) suit products built for daily habits: social, messaging, casual games, productivity tools.
• Weekly active users (WAU) fit products with natural weekly cycles, like meal planning, fitness programs, or content platforms.
• Monthly active users (MAU) work for products with longer usage intervals, including travel, finance, e-commerce, and subscription tools. MAU is also the standard for board-level and investor reporting.

Most growth teams track all three. The relationship between them tells you more than any single number does.

Divide average DAU by MAU and you get the stickiness ratio: the share of monthly users who show up on a typical day. A 20% ratio means one in five monthly users is active daily.

DAU/MAU benchmarks for 2026

Mixpanel’s 2026 State of Digital Analytics report, drawn from more than 12,000 companies across eight industries, breaks stickiness down by vertical and by region. Region turns out to matter as much as category.

Source: Mixpanel, 2026 State of Digital Analytics.

Fintech is not one number. Banking runs 20% in North America and 36% in APAC, wealth management peaks at 38% in LATAM, which Mixpanel attributes to super apps building daily financial habits, and insurance stays under 27% in every region, which fits a product people rarely need to open.

One caution when you compare your own ratio against published benchmarks: check how they were calculated. Some B2B figures exclude weekends and holidays, which lifts the number considerably. A benchmark that looks higher than yours may simply be counted differently.

Gaming sits outside that table. Mixpanel’s companion 2026 Mobile Gaming Benchmarks report puts player stickiness at 32% in both North America and APAC, and describes that as a plateau rather than a peak.

For everything else, read published numbers carefully. A ratio near 20% is a solid baseline for a consumer product. Messaging and social apps are usually quoted at 50% or higher, but that is a long-standing rule of thumb rather than a measured 2026 benchmark. The right target depends on how often your product is meant to be used, so a travel app should not be measured against a messenger.

MAU is a count, not a quality measure. Three blind spots are worth watching.

• It hides churn. MAU can climb while churn rate accelerates, as long as acquisition outpaces losses. Pair MAU with cohort analysis to see whether the users you added last quarter are still there.
• It ignores engagement depth. A user who opens your app once and a power user who engages 25 days a month both count as one MAU. Segment by frequency to see the real shape of your audience.
• It says nothing about value. High MAU with flat revenue means users aren’t converting. Connect MAU to lifetime value (LTV) to understand what your active audience is actually worth.

MAU breaks in two places, and both are measurement problems rather than growth problems.

The first is identity. One person using your iOS app, your Android tablet, and your website looks like three active users unless you resolve them into a single identity. Cross-platform tracking is what keeps the count honest, and it matters more every year as products extend into web, connected TV, PC, and console.

The second is source. MAU on its own cannot tell you which channel produced the active users. Once you can break MAU down by acquisition source, you can compare cost per retained user across networks instead of cost per install, which is where the budget decisions actually get made.

Sustainable growth comes from working both sides of the equation.

• Acquire efficiently. Use accurate mobile attribution to find the channels, campaigns, and creatives that deliver users who stay active. Install volume on its own will mislead you.
• Activate faster. Users who reach your core value moment in their first session are far more likely to return. Build onboarding around that moment and instrument it with in-app events.
• Re-engage lapsed users. Push notifications, deep-linked campaigns, and retargeting pull dormant users back into the monthly active pool at a fraction of new-user acquisition cost.
• Measure by cohort. Track how MAU contribution differs by acquisition source. A channel with cheap installs and poor 30-day activity is inflating a vanity metric, not growing the business.

MAU tells you how many users are active. It doesn’t tell you which marketing created them, or what they’re worth.

Singular connects the two. Cost aggregation pulls spend from every channel into one place, cross-device attribution resolves users into a single identity across app, web, CTV, PC, and console, and cohort reporting ties both back to revenue. You can see cost per retained user by source, compare cohort-level engagement across networks, and allocate budget to the channels that drive user retention.

Book a demo to see which channels are adding to your MAU, and what each one costs you.

What counts as an “active” user in MAU?

Any unique user who performs a qualifying action inside the 30-day window is counted as an “active” user. Best practice is to define activity around meaningful engagement, such as a session, a transaction, or a completed core action, rather than a simple app open. That way, the metric reflects value delivered rather than accidental launches.

What is the difference between MAU and monthly downloads?

Downloads count installs. MAU counts engagement. Someone who installed your app a year ago and still uses it weekly counts toward MAU but not toward downloads. Someone who installs today and never opens the app counts as a download but may never become active. MAU is the better measure of your real audience.

What is a good MAU?

There is no universal number, because MAU scales with category, market size, and business model. Judge it on two things instead. First the trend: is MAU growing month over month, or holding flat while you spend to replace churned users? Second the quality: what share of that MAU is retained, engaged, and monetizing? Benchmark against your own history and your category rather than headline numbers from social platforms.

What is a good DAU/MAU ratio in 2026?

Around 20% is a solid baseline for a consumer product. Mixpanel’s 2026 data puts B2B SaaS at 31% in North America and EMEA, ecommerce between 20% and 25% depending on region, and fintech anywhere from 16% to 38% depending on sub-vertical and market. Mobile gaming sits at 32% in North America and APAC. The right target depends on your product’s natural usage frequency, so a travel app should not be measured against a messenger.

How do you calculate MAU across platforms?

Deduplicate users across iOS, Android, web, and any other surface so each person counts once. That requires cross-device identity resolution. Without it, multi-platform users get counted twice or three times and MAU overstates your true audience.

How is MAU different from retention rate?

MAU counts everyone active this month, no matter when they joined. Retention rate follows one cohort over time: of the users who installed in a given period, what share came back after 7, 30, or 90 days? That difference matters because MAU can hold steady while retention falls, since new installs mask the users you lost. MAU measures reach. Retention measures whether it lasts.

Is MAU a vanity metric?

It can be, if tracked in isolation. MAU becomes actionable when you pair it with retention, stickiness, and revenue metrics like ARPU and LTV, and when you segment it by acquisition source to see which marketing is driving durable active users.