DAU (Daily active users)
Daily active users (DAU) is the number of distinct users who perform a meaningful action in your product on a given day.
DAU counts the unique people who did something real in your product today. It shows how embedded the product is in a daily routine. It matters most for products that should be used every day, such as messaging, project management and support tools. For a product people use monthly, such as invoicing or reporting, DAU is the wrong headline number.
How to calculate DAU
Count distinct users with at least one qualifying event on a single calendar day. Then average over a week or month to smooth weekday swings.
Example: a team chat tool with 2,000 accounts logs 640 unique active users on Monday, 700 on Tuesday, 690 on Wednesday, 660 on Thursday and 610 on Friday. The weekday average is (640 + 700 + 690 + 660 + 610) / 5 = 3,300 / 5 = 660. Weekends will be lower, so state whether you average all days or only workdays.
Define "active" carefully
- Logging in is weak. A user can log in and leave without getting value. Prefer a core action such as sending a message or creating a task.
- Exclude bots, internal staff and API polling that no human triggered.
- Count people, not sessions or accounts. In B2B, report active users and active accounts separately.
Using it
DAU on its own is a count and grows with signups. It becomes useful as a ratio to monthly active users, which gives the DAU/MAU ratio, and when you look at its distribution, as in the power user curve. Watch how DAU moves for each signup cohort, not just in total, since a rising total can hide declining engagement among newer users.
Common mistakes
- Applying it to a low-frequency product and concluding engagement is poor.
- Counting a notification-driven open as an active day.
- Comparing your DAU to a consumer app's. B2B SaaS has weekdays and weekends.
For a small SaaS with a few hundred users, daily numbers are noisy. Use a 7-day average and look at trend, not single days.
Related terms
Sources
- Power User Curve, Li Jin and Andrew Chen, a16z
- DAU/MAU ratio, Eppo