DAU / MAU: what they are, how to calculate the ratio and what stickiness is

DAU (Daily Active Users) is the count of unique users who took a relevant action in the product on a single day. MAU (Monthly Active Users) is the same count of unique users, but over a thirty-day window. Both measure people, not sessions or clicks: someone who opens the app five times in the same day counts once in that day DAU.

On their own, these counts speak of reach, not intensity. MAU tends to grow with marketing and acquisition, because the user only has to show up once in the month to be counted. DAU is harder to move, because it requires people to come back often. That is why the two metrics together say more than either one alone: one reveals the size of the base, the other reveals the habit.

The DAU/MAU ratio is the average DAU of a period divided by the MAU of the same period, expressed as a percentage. It is the most direct way to measure stickiness, how habit-forming the product is: how many of the users who appear in the month come back on a typical day. A ratio of 25% means the average user opens the product on about one in every four days, roughly seven or eight days a month.

Reading the ratio as a return frequency is what makes it powerful. It answers a question that raw user growth hides: are people forming the habit of coming back, or just passing through once? That is why DAU/MAU usually travels alongside the Engagement rate, which describes how deeply each user interacts within those visits.

There is no universal number, but there are widely used reference ranges. A common rule of thumb treats something around 20% as a respectable ratio and considers 50% or more as exceptional, typical of products that have become a daily habit, such as messengers and collaboration tools. Successful social and communication apps tend to live in the high band.

• Below 10%: sporadic use, the product has not entered the routine yet.
• 10% to 20%: moderate engagement, with clear room to improve.
• 20% to 50%: a sticky product, a meaningful share of the base returns several times a week.
• Above 50%: a consolidated daily habit, rare and valuable.

Before comparing, look at your product category. Industry benchmark studies, such as the annual Benchmarkit report, show that engagement and retention vary widely by type of software, so the best reference is always that of products similar to yours.

DAU/MAU is only as good as the definition of "active" behind it. If "active" is merely opening the app or logging in, the number inflates and starts measuring curiosity, not value. If it is an action that represents the product moment of value, such as sending a message, creating a report or completing a task, the metric starts reflecting real use. The choice of definition changes the result more than any product optimization.

Two disciplines make the number trustworthy. The first is to anchor "active" in the value action, not in a simple access. The second is to keep that definition stable over time, because redefining "active" midway breaks any historical comparison. It is also worth separating the base: your Power users pull the average up and deserve to be analyzed apart, so the aggregate ratio does not hide a long tail of barely active users.

The DAU/MAU ratio makes sense when the product has a natural daily cadence. Communication, collaboration, entertainment and productivity tools benefit from the lens, because the expected value is precisely the frequent return. In those cases, a low DAU/MAU is a legitimate warning sign.

Products with a naturally monthly or quarterly cadence, on the other hand, are done a disservice by this metric. A payroll software that runs once a month, or an accounting close tool, will have a structurally low DAU/MAU without that meaning any problem at all. For them, it makes more sense to measure WAU/MAU, the fraction that returns within the week, or to pair usage with the outcome the product promises to deliver. That is why DAU/MAU should rarely be the North Star Metric on its own: it is a habit indicator, not the final measure of value delivered.

DAU/MAU does not live in isolation; it anticipates what other metrics confirm later. Falling stickiness is often a leading indicator of Churn: when users stop coming back day to day, the formal cancellation tends to follow. That is why the ratio works as an early signal of health, weeks or months before churn shows up in revenue.

The richest reading comes from crossing the three layers. MAU shows the size of the reach, the DAU/MAU ratio shows the frequency of the habit, and engagement shows the depth of each visit. A product can have high MAU and low stickiness (many people come in, few return) or the opposite (a small but hooked base). Only by looking at the layers together can you tell whether growth is solid or just passing volume.