DAU/MAU Ratio Calculator
Enter your DAU, WAU, and MAU counts to get stickiness ratios with consumer and B2B benchmark comparisons.
Active User Counts
Unique users active on a single day
Unique users active in the last 7 days
Unique users active in the last 30 days
Enter your user counts and click Calculate Stickiness
DAU / MAU (Stickiness)
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WAU / MAU (Weekly Stickiness)
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Inputs Summary
DAU/MAU Benchmark Ranges by App Category
Consumer Social / Messaging
50–70%
Facebook ~65%, WhatsApp ~70%+. Daily habit is the product.
B2B SaaS / Productivity
15–30%
Weekday-only use naturally caps the ratio. 20%+ is strong for work tools.
Gaming / Entertainment
20–50%
Casual games cluster 20–35%; top-grossing live games often exceed 40%.
Benchmarks are directional. Context matters: a weekly-cadence reporting tool at 15% DAU/MAU can still have excellent retention if WAU/MAU exceeds 70%.
Summary
Enter your DAU, WAU, and MAU counts to get stickiness ratios with consumer and B2B benchmark comparisons.
How it works
- Enter your Daily Active Users (DAU) — unique users who opened the app at least once today.
- Enter your Monthly Active Users (MAU) — unique users active at least once in the last 30 days.
- Optionally enter Weekly Active Users (WAU) for the WAU/MAU ratio.
- The calculator shows DAU/MAU and WAU/MAU ratios as percentages.
- Compare your ratios against benchmark ranges for consumer apps and B2B SaaS products.
Use cases
- Measure product stickiness before a fundraising round.
- Track week-over-week engagement trends after a new feature launch.
- Set internal DAU/MAU targets aligned with your app category.
- Compare engagement health against consumer or enterprise benchmarks.
- Identify whether low MAU or low daily habit is the root engagement problem.
- Report stickiness to investors alongside MRR and churn metrics.
Frequently Asked Questions
Last updated: 2026-07-01 ·
Reviewed by Nham Vu