What Is DAU/MAU Ratio and Why It Matters?
DAU/MAU ratio divides a product's Daily Active Users by its Monthly Active Users, producing a percentage that shows what share of your monthly user base is actually coming back on any given day. It's a quick, widely used way to gauge how habitual or "sticky" a product genuinely is — a high ratio means people use it often; a low ratio means most monthly users only show up occasionally.
Quick facts
- The formula: DAU/MAU ratio = Daily Active Users ÷ Monthly Active Users × 100
- This ratio is also commonly called the stickiness ratio.
- A ratio around 20% is often considered decent; top consumer social/messaging apps can reach 50-60%+.
- The "right" benchmark varies enormously by product type — a daily habit app and a monthly-use tool have very different natural ceilings.
- This metric is closely related to retention rate, but measures frequency of use rather than whether users come back at all over time.
The formula, explained
DAU/MAU Ratio = (Daily Active Users / Monthly Active Users) × 100
A worked example: A note-taking app has 500,000 monthly active users. On an average day, 75,000 of those users are active.
DAU/MAU ratio = (75,000 ÷ 500,000) × 100 = 15%
This means, on average, about 15% of the app's monthly user base is active on any given day — implying the typical user opens the app roughly a few times a month, not daily. Whether that's good or concerning depends heavily on what kind of product this is: for a habitual, daily-use tool, 15% might be a real concern; for a product people naturally use only occasionally (like a tax filing tool), it might be entirely normal and healthy.
Why "what's a good ratio" depends so much on product type
A messaging app or social feed is designed to be used multiple times a day — a low DAU/MAU ratio for a product like this signals a real engagement problem. A tax-preparation tool, a annual conference planning app, or an insurance-claims product is naturally used infrequently by its nature — a "low" DAU/MAU ratio for these products doesn't indicate a problem, since daily use was never a realistic or desired usage pattern. Comparing your ratio against your own product's natural usage cadence, and against direct competitors with a similar usage pattern, is far more meaningful than comparing against a generic industry benchmark.
How to actually use this metric
DAU/MAU ratio is most useful as a trend to track over time, and as a way to compare user segments or cohorts against each other, rather than as a single static number to hit. A rising DAU/MAU ratio after a product change suggests the change increased how habitually people use the product; a declining ratio, even with stable or growing MAU, can be an early warning sign that engagement quality is weakening even while overall user count looks healthy — a pattern raw MAU alone would hide.
DAU/MAU vs other engagement metrics
| Metric | What it measures |
|---|---|
| DAU/MAU ratio | What share of monthly users are active on a typical day (frequency/stickiness) |
| Retention rate | Whether users come back over a longer period at all (like 30 or 90 days later) |
| Activation rate | Whether new users reach a meaningful first-value moment |
These metrics answer related but distinct questions — a product can have decent retention (users don't fully abandon it) but a low DAU/MAU ratio (they only use it occasionally), which is a genuinely different problem than a product losing users entirely.
Common mistakes when using DAU/MAU ratio
- Comparing your ratio against a generic industry benchmark without considering your product's natural usage cadence. A "low" ratio can be entirely healthy for a naturally infrequent-use product.
- Treating a declining ratio as automatically bad without investigating the cause. Sometimes MAU growth from a successful new acquisition channel temporarily dilutes the ratio even while core engaged users remain stable — the underlying cause matters.
- Only looking at the blended, overall ratio rather than segmenting it. Different user segments or cohorts can have very different stickiness, and a blended average can mask this.
- Optimizing narrowly for DAU/MAU ratio at the expense of genuine value delivery. Artificially inflating daily visits through notifications or dark patterns, without real added value, can hurt long-term retention even while temporarily boosting this specific ratio.
FAQ
What's considered a good DAU/MAU ratio? There's no universal number — 10-20% is common for many products, while top habitual consumer apps (messaging, social) can reach 50%+. The right benchmark depends heavily on how frequently your specific product is naturally meant to be used.
Can DAU/MAU ratio be calculated for a B2B product? Yes, though the natural benchmark tends to be lower than consumer apps, since most B2B tools are used during work hours on business days rather than continuously — comparing against similar B2B products is more meaningful than consumer app benchmarks.
Is a higher DAU/MAU ratio always better? Generally yes for products meant to be used habitually, but it should reflect genuine value delivery, not artificially inflated visits — a high ratio driven by manipulative notification tactics without real underlying value doesn't reflect a healthy product.
How is DAU/MAU ratio different from stickiness? They're the same metric — "stickiness ratio" is simply another common name for DAU/MAU ratio, both referring to the same calculation and the same underlying concept of usage frequency.