Definition
DAU (Daily Active Users) is the count of unique users who engage with a product on a given day. MAU (Monthly Active Users) is the count of unique users who engage within a 30-day rolling window. The DAU/MAU ratio (often called "stickiness") tells you what fraction of your monthly users come back every day.
A DAU/MAU ratio of 50% means half your monthly users use the product on any given day. That signals strong daily habits. A ratio of 10% means most monthly users visit only occasionally. Sequoia Capital's guide to defining engagement explains how top companies benchmark this ratio.
Why DAU/MAU Matters for Product Managers
DAU/MAU is the simplest proxy for product engagement. It answers a question that acquisition metrics cannot: are users actually coming back?
High DAU/MAU means your product is part of daily routines. Low DAU/MAU means users need your product occasionally but not habitually. Neither is inherently bad. A tax preparation tool will never have high daily engagement, and that is fine. But a team communication tool with low DAU/MAU has a problem.
PMs use DAU/MAU to detect engagement shifts early. A declining ratio often precedes churn spikes by 4-8 weeks, giving you time to intervene. It also helps evaluate feature impact: if a launch moves DAU/MAU up, the feature is driving real behavior change, not just curiosity clicks.
How to Calculate and Track DAU/MAU
DAU formula: Count unique users who performed at least one qualifying action in a 24-hour period.
MAU formula: Count unique users who performed at least one qualifying action in the trailing 30-day period.
DAU/MAU ratio: DAU / MAU x 100.
The critical decision is defining "active." A pageview is too loose. A core action (sending a message, creating a document, running a report) is more meaningful. Define "active" based on the action that correlates with retention in your product.
Track DAU/MAU as a 7-day rolling average to smooth out weekday/weekend variation. Plot it over time by cohort to see whether newer users engage more or less than older ones.
DAU/MAU Benchmarks by Product Category
| Product category | Typical DAU/MAU | Example |
|---|---|---|
| Social media | 50-65% | Facebook (~65%), Instagram (~55%) |
| Team messaging | 40-60% | Slack (~50%), Discord (~45%) |
| Productivity / workspace | 25-40% | Notion (~30%), Google Docs (~35%) |
| B2B SaaS (general) | 15-25% | Most B2B tools land here |
| E-commerce | 5-15% | Users buy periodically, not daily |
| Finance / banking | 10-20% | Users check balances but not daily |
If your product is below the typical range for its category, dig into which user segments are dragging the ratio down. If your product is above the range, you have strong engagement that can support product-led growth strategies.
How to Improve DAU/MAU
1. Identify your daily use case. Not every product has one. If yours does (e.g., checking notifications, reviewing a dashboard, updating a status), make that action as fast and frictionless as possible. Remove clicks. Preload data. Optimize for speed.
2. Build notification hooks. Email digests, push notifications, and Slack integrations bring users back. But use them carefully. Notification fatigue kills engagement faster than no notifications at all. Only notify for events the user actually cares about.
3. Create collaborative triggers. When User A does something that matters to User B (mentions, shares, assigns, comments), notify User B. Collaborative products have higher DAU/MAU because other people create reasons to return.
4. Track by segment. Power users (DAU/MAU > 60%) behave differently than casual users (DAU/MAU < 10%). Build re-engagement flows for casual users and advanced features for power users. The NPS calculator can help identify which segments are most satisfied.
5. Measure feature-level stickiness. Calculate DAU/MAU for individual features, not just the overall product. A feature with 5% DAU/MAU might be dragging down overall engagement. Either improve it, promote it better, or remove it.
Common Pitfalls
- Loose "active" definitions. Counting a login or page view as "active" inflates DAU/MAU. Define active as completing a meaningful action that delivers value.
- Ignoring the denominator. A rising DAU with a faster-rising MAU means your ratio is declining. New users are signing up but not forming daily habits. Focus on activation, not acquisition.
- Comparing across categories. A 15% DAU/MAU for a B2B analytics tool is healthy. The same ratio for a messaging app is a crisis. Always benchmark within your product category.
- Weekend effects. B2B products see significant DAU drops on weekends. Use 7-day rolling averages, not single-day snapshots. Reporting Monday's DAU/MAU as a crisis ignores natural usage patterns.
Related Concepts
DAU/MAU connects directly to retention rate, which measures whether users come back over longer periods. Feature adoption applies DAU/MAU thinking at the feature level. Cohort analysis lets you track how DAU/MAU changes for different user groups over time. The product metrics framework helps you understand where DAU/MAU fits within your broader measurement system.