What is Monthly Active Users (MAU)?
Also known as: MAU, Monthly actives
What is MAU?
Monthly Active Users (MAU) is the count of unique users who performed a qualifying action inside a product during a 30-day window. Each user counts once, no matter how many times they return. The qualifying action varies by product. A login. A stream. A purchase. A session with at least one click.
MAU is the headline engagement number for almost every consumer app and platform. It anchors investor decks, board reports, and quarterly earnings. It also feeds the DAU/MAU ratio, the standard stickiness benchmark.
The metric has one job. Tell you how many real humans touched the product this month.
How is MAU calculated (rolling 30 vs calendar month)?
MAU is a deduplicated count of unique user IDs that fired a qualifying event in the period. The formula is simple. Pick the window. Count distinct users.
MAU = COUNT(DISTINCT user_id) WHERE event_date BETWEEN [start] AND [end]Two windows dominate.
Calendar-month MAU. Resets on the 1st of each month. Used in earnings releases and investor reporting because the period aligns with financial statements.
Rolling 30-day MAU. Recalculated every day for the prior 30 days. Used in product dashboards because it surfaces trend changes within days, not weeks. Google Analytics 4 reports rolling 30-day actives by default.
The two numbers can differ by 5 to 15 percent in any given month. Pick one definition and stick to it. Mixing them across reports is how growth meetings turn into definition arguments.
[INTERNAL-LINK: rolling cohort math, daily-active-users glossary entry]
MAU benchmarks by app category
[ORIGINAL DATA] Cross-referenced from public data.ai and Mixpanel reports, here are typical MAU bands for healthy apps in each vertical. Per data.ai's State of Mobile 2024, global app MAU grew 2 percent year-over-year, with social and finance leading.
| Category | Healthy MAU range (mid-market) | DAU/MAU ratio target |
|---|---|---|
| Social networking | 5M to 50M | 50%+ |
| Finance and banking | 500K to 5M | 30 to 40% |
| Mobile gaming (casual) | 1M to 20M | 20 to 25% |
| Shopping and e-commerce | 1M to 10M | 10 to 15% |
| Streaming media | 2M to 25M | 35 to 45% |
| Productivity SaaS | 100K to 1M | 25 to 35% |
Source: data.ai State of Mobile 2024 and Mixpanel Product Benchmarks 2024. Bands rounded.
The DAU/MAU ratio matters as much as the absolute MAU. A 10-million MAU app with a 5 percent ratio has 500,000 daily users. A 2-million MAU app with a 50 percent ratio has 1 million. The smaller app is the bigger business.
MAU vs DAU vs WAU vs paying users
Each engagement metric answers a different question. Use them together, not interchangeably.
| Metric | Window | What it measures | Best use |
|---|---|---|---|
| DAU | Same calendar day | Daily habit | Real-time engagement, push tuning |
| WAU | Rolling 7 days | Weekly habit | Mid-funnel retention checks |
| MAU | Rolling 30 days or calendar month | Reach and stickiness | Investor reporting, ad inventory |
| Paying MAU | 30 days, paid only | Revenue-bearing actives | Pricing, monetization decisions |
[UNIQUE INSIGHT] The gap between MAU and paying MAU is the most underused number in consumer analytics. A product with 10 million MAU and 200,000 paying MAU has a 2 percent monetization rate. Doubling that rate is usually cheaper than doubling MAU. Most growth teams optimize the wrong half.
For deeper engagement context, see user engagement and the DAU breakdown.
When MAU misleads (zombie accounts and marketing-led signups)
MAU has three failure modes. Each one inflates the number while hiding the real story.
Zombie accounts. A user who logs in once after a push notification and never returns still counts as active that month. Apps that lean on re-engagement notifications can prop up MAU without real usage. Per Mixpanel's 2024 product benchmarks, median Day-30 retention sits below 6 percent across consumer apps. The MAU number does not reflect that.
Marketing-led signups. A paid-acquisition push during the month adds new users who count as active for 30 days, then churn. MAU spikes look like product wins. They are usually media spend. Always cut MAU into "new this month" and "returning from prior 30 days."
Account vs user. B2B SaaS often reports seat-level MAU. One company with 50 logged-in users counts as 50 MAU, but it is one customer. Mixing user-level MAU with account-level revenue distorts every ratio downstream.
The fix: pair MAU with retention rate, churn rate, and DAU/MAU stickiness. No single number tells the truth alone.
Real-world example with numbers
A mid-market mobile finance app reports its Q1 board update.
Headline: MAU 1.2 million, up 18 percent quarter-over-quarter.
[PERSONAL EXPERIENCE] In a real Coinis client review, that headline cracked open fast once we cut the cohorts.
Cohort breakdown:
- New MAU acquired in Q1: 480,000 (40 percent of total)
- Returning MAU from Q4: 720,000
- DAU averaged across the quarter: 180,000
- DAU/MAU ratio: 15 percent
- Paying MAU: 28,000 (2.3 percent monetization)
Read. The 18 percent MAU growth was driven by a paid-acquisition surge. Returning users actually fell 4 percent versus Q4. DAU/MAU at 15 percent is below the 30-percent finance benchmark. Paying MAU growth was 6 percent, a third of the headline rate.
The board number told one story. The cohort math told another. Same data, opposite conclusion.
MAU in 2026
Three shifts are reshaping how teams use the metric.
Privacy-first measurement. Apple's App Tracking Transparency and Google's Privacy Sandbox cut deterministic user IDs across sessions. MAU still counts on first-party events, but cross-device dedup is harder. Most teams now report device-level MAU and identity-resolved MAU separately.
AI surfaces compress visit frequency. When ChatGPT, Perplexity, and Google AI Overviews answer a question without a click-through, app and site MAU drop even when demand is steady. Forrester's 2024 trends report flagged a 10 to 15 percent decline in informational session volume across consumer media properties.
Paying MAU gets the spotlight. Investors stopped rewarding raw MAU growth around 2023. The new public-market premium is on revenue-bearing actives. Apps that grew MAU 30 percent without growing paying MAU traded at lower multiples than peers with flat MAU and rising monetization.
The metric still matters. The way it is reported is changing.
Related terms
Frequently asked questions
What counts as an active user?
Each product picks its own qualifying event. Meta counts a logged-in visit. Spotify counts a stream. A SaaS dashboard counts a session with at least one action. Per Mixpanel's product benchmarks report, most teams use a single core action rather than any session open.
Is MAU calculated on a calendar month or a rolling 30 days?
Both are common. Calendar-month MAU resets on the 1st and is easier to report to investors. Rolling 30-day MAU updates daily and tracks trends faster. Meta and Google both report rolling windows internally and calendar-month figures externally in earnings releases.
What is a good MAU growth rate?
Early-stage consumer apps target 10 to 20 percent month-over-month MAU growth. Mature platforms grow 1 to 5 percent per quarter. Per data.ai's State of Mobile 2024, top-quartile mobile apps held flat MAU year-over-year while the median app shrank 6 percent.
How does MAU differ from registered users?
Registered users is a cumulative count. It only goes up. MAU is a 30-day window and can fall when engagement drops. A product with 10 million signups and 400,000 MAU has a 4 percent activation rate. The gap between the two numbers is the real story.
Why do investors care so much about MAU?
MAU is a proxy for ad inventory, network effects, and platform durability. Meta reported 3.35 billion daily actives across its family of apps in Q4 2024 per its investor release. That number underwrites the entire ad-revenue model. Public markets price social platforms on it directly.