DAU vs WAU vs MAU

Three time windows for counting active users. The window you choose changes the story. This comparison covers all three plus the stickiness ratios between them.

Last updated: 2026-04-01

Overview

DAU
Daily Window

Daily Active Users. Unique users who perform a qualifying action within a single day, usually a calendar day in a fixed timezone. The right metric for products people are expected to use daily. The historical benchmarks below come from Mixpanel's 2024 report, page 27, using 2023 data.

Best for daily-use products: messaging, social feeds, productivity tools, news. Tracks habit formation and reacts quickly to changes.

WAU / MAU
7-Day & 30-Day

Weekly Active Users count unique users in a rolling 7-day window. Monthly Active Users count unique users in a rolling 30-day window. These are rolling definitions; calendar weeks and months are also used.

Use WAU for weekly usage and MAU for monthly usage. Seasonal products such as tax software may need a longer window as well.

Formula comparison

DAU

DAU = unique users active in the defined day

A user who opens your app five times in a day counts as 1 DAU, not 5. Deduplication by user ID is essential.

WAU / MAU

WAU = unique users in rolling 7 days. MAU = unique users in rolling 30 days.

Rolling windows have fixed lengths. Calendar months vary in length. State which definition and timezone you use before comparing results.

Side-by-side comparison

CriteriaDAUWAU / MAU
Time windowDefined calendar day or rolling 24 hoursRolling 7 days (WAU) or rolling 30 days (MAU)
Right forDaily-use productsWeekly or monthly-cadence products
Reaction speedFast. Same-day signalSlower (WAU = days, MAU = up to a month)
VolatilityHigh. Weekends and holidays distort itLower. Smoother trend
Stickiness ratioDAU / MAU x 100 = daily share of monthly active usersWAU / MAU x 100 = weekly share of monthly active users
Historical DAU/MAU benchmark (2023 data)37% overall; technology 41%; financial services 40%; ecommerce 29%Mean DAU / mean MAU; Mixpanel 2024 report
Best industry fitSocial, messaging, news, gamingBanking, fitness, B2B tools, marketplaces
Reporting fitDaily usage reportingWeekly or monthly usage reporting

When to use each

Choose DAU when
  • The product is meant to be used every day
  • You're tracking habit formation
  • A daily metric is the user-facing promise (streaks, daily journals, news)
  • Engineering is monitoring daily usage alongside peak-load data
  • You want the most sensitive signal of product changes
Choose WAU / MAU when
  • The product has a weekly or monthly cadence
  • You want to smooth weekend dips for B2B
  • Monthly check-ins are the actual usage pattern
  • You're reporting to investors who use MAU as the comparable
  • Daily usage is unrealistic but monthly is too forgiving (use WAU)

Pros and cons

DAU

Pros

  • Most sensitive to changes. You see problems quickly
  • Natural for habit-forming products
  • Adds daily user volume to capacity planning

Cons

  • Looks bad for products that aren't daily-use, even when they're healthy
  • Volatile day-over-day. Holidays and weekends distort it
  • Easy to game with low-bar definitions of "active"

WAU / MAU

Pros

  • Smooths daily noise. Less affected by holidays and weekends
  • Easy to compare to industry benchmarks (especially MAU)
  • Forgiving of irregular usage patterns

Cons

  • Slow to react to product changes (especially MAU)
  • Hides churn for up to 30 days
  • Easiest to game with low-bar "active" definitions

Try the related tools

Use your own inputs to explore the calculations and compare results.

Frequently asked questions

What is a good DAU/MAU ratio?

Compare products with similar usage patterns and active-user definitions. Mixpanel's 2024 report gives a 2023 cross-industry average of 37%, with technology at 41%, financial services at 40%, and ecommerce at 29%. Its stickiness measure uses mean DAU divided by mean MAU. These historical figures are context, not universal targets.

Should I report DAU, WAU, or MAU to my board?

Use the window that matches expected usage and show the definition. For a daily-use product, MAU alone can hide a fall in usage frequency. For a monthly-use product, low DAU may be expected.

How do I count an active user?

Choose an action that reflects useful activity, such as sending a message or opening an analytics dashboard. Deduplicate users within each window. A login alone may not show meaningful use.

Is the time window calendar or rolling?

Either convention is used. Define your day, week, month, and timezone consistently. Rolling 7-day and 30-day windows have fixed lengths; calendar windows align with reporting periods but vary in length.

Does 30% DAU/MAU mean the same 30% return every day?

No. It means daily active users are 30% of monthly active users for the measured windows. If you average DAU across the month, state that convention. Use cohort retention to study whether the same people return.