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DAU/MAU Stickiness Calculator

Measure how sticky your product is with DAU/MAU, DAU/WAU and WAU/MAU

Updated · Free, no signup

Average of daily active counts across the month.

Enter 0 to skip the weekly ratios.

DAU/MAU stickiness

24%

DAU/WAU

40%

WAU/MAU

60%

Average active days per monthly user

7.2 days

Average active days per weekly user

2.8 days

Stickiness band

Strong (20–50%)
  • Your average monthly user is active about 7.2 of 30 days (24% stickiness).
  • 60% of monthly users come back in a given week, and weekly users are active about 2.8 days a week.

Engagement ratios

About the DAU/MAU Stickiness Calculator

This DAU/MAU stickiness calculator measures how often your monthly users come back. Enter your average daily active users (DAU) over a month and your monthly active users (MAU) — and optionally weekly active users (WAU) — to get the DAU/MAU ratio, DAU/WAU and WAU/MAU ratios, and the average number of days a typical monthly user is active.

It is built for product managers, growth teams and founders reporting engagement to investors. DAU/MAU is the most widely quoted stickiness metric for consumer and collaboration products: a ratio of 50% means the average monthly user shows up on about half the days of the month, while 10% means about three days a month.

Use the same definition of “active” for every count (for example, performed a meaningful action, not just opened the app) and use the average DAU across the month rather than a single day. Benchmarks depend heavily on the product: a daily messaging app and a monthly invoicing tool should not be held to the same ratio, so compare against your own trend and similar products.

With the default inputs, the dau/mau stickiness is 24%. Change any value above to recalculate instantly.

How to use the dau/mau stickiness calculator

  1. 1Export your average daily active users for the month from your analytics tool.
  2. 2Enter monthly active users for the same month, and weekly active users if you have them.
  3. 3Set the number of days in the month.
  4. 4Read the DAU/MAU stickiness ratio and average active days per user.
  5. 5Track the ratio month over month to see whether engagement is improving.

Formula and method

Stickiness = Average DAU ÷ MAU × 100%
DAU/WAU = Average DAU ÷ WAU; WAU/MAU = WAU ÷ MAU
Active days per month ≈ Stickiness × Days in month

DAU/MAU divides the average number of users active on a given day by the number of distinct users active at least once during the month. Because the average DAU equals the total user-days divided by the number of days, the ratio multiplied by the days in the month gives the average number of active days per monthly active user.

DAU/WAU and WAU/MAU split the same idea into weekly pieces: DAU/WAU × 7 is the average days a weekly user is active, and WAU/MAU is the share of monthly users who are around in a typical week. The band labels (under 10%, 10–20%, 20–50%, 50%+) are informal rules of thumb, not an official standard.

DAU
Average daily active users over the month
WAU
Distinct users active in a 7-day window
MAU
Distinct users active in the month

Worked examples

12,000 DAU, 30,000 WAU, 50,000 MAU

12,000 ÷ 50,000 = 24% stickiness, so the average monthly user is active about 7.2 of 30 days. 60% of monthly users show up in a typical week, and weekly users are active 2.8 days a week.

Daily-habit app

330,000 ÷ 600,000 = 55%, meaning users are active about 17 days in a 31-day month — the kind of habit typical of messaging or social products.

Monthly-use B2B tool

900 ÷ 12,000 = 7.5%, or about 2.25 active days a month. For a tool used to run monthly reports this can be perfectly healthy, which is why benchmarks must match the use case.

Frequently asked questions

What is a good DAU/MAU ratio?+

There is no universal benchmark. As a rough rule of thumb, around 20% is often considered solid for many apps and 50% or more is exceptional, typical of daily-habit products like messaging. Tools that are naturally used weekly or monthly will score lower without being unhealthy.

How do you calculate DAU/MAU?+

Divide the average daily active users across a month by the number of unique users active at least once in that month, then multiply by 100. Using a single day’s DAU instead of the monthly average makes the ratio noisy, especially around weekends.

What counts as an active user?+

You choose the definition, but it should reflect real value — for example sending a message, editing a document or completing a transaction — rather than just opening the app. Use the same definition for DAU, WAU and MAU.

Why does DAU/MAU drop when we grow fast?+

Rapid acquisition adds many new monthly users who have not formed a habit yet, which inflates MAU faster than DAU. Look at stickiness by cohort or for users older than 30 days to separate engagement from growth effects.

Is DAU/WAU better for some products?+

Yes. Products used mainly on weekdays, such as work tools, often track DAU/WAU or weekly active days instead, because a five-day work week caps DAU/MAU at roughly 70% even for perfectly engaged users.

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