What Is DAU/MAU Ratio?
DAU/MAU ratio measures the share of your monthly active users who engage with your product on any given day. It is a core engagement metric that tells you how "sticky" your product is. A higher ratio means users come back more frequently.
The formula is: DAU/MAU Ratio (%) = (Daily Active Users / Monthly Active Users) x 100
"Active" must be defined consistently for both DAU and MAU. The best practice is to count users who complete a core action (not just open the app). For a note-taking tool, that might mean creating or editing a note. For an analytics product, it might mean viewing a dashboard or running a query.
A messaging app has 8 million DAU and 14 million MAU. Its DAU/MAU ratio is (8,000,000 / 14,000,000) x 100 = 57.1%. More than half of its monthly users visit every day, which signals strong daily engagement.
DAU/MAU Benchmarks
DAU/MAU ratios vary dramatically by product type. A social media app and a B2B reporting tool serve completely different use patterns. Compare your ratio against products in your category, not the industry at large.
DAU/MAU by Product Type
| Product Type | Typical DAU/MAU | Top Quartile | Context |
|---|---|---|---|
| B2C Social Media | 40-55% | 60%+ | Daily content feeds, notifications, and social triggers drive return visits. |
| Messaging Apps | 50-65% | 70%+ | Communication is inherently daily. Highest engagement category. |
| Mobile Gaming | 20-30% | 35%+ | Casual games skew lower. Games with daily rewards or energy systems skew higher. |
| B2B SaaS (Daily Tools) | 20-30% | 35%+ | CRM, project management, and communication tools used during work hours. |
| B2B SaaS (Periodic Tools) | 8-15% | 20%+ | Analytics, reporting, and planning tools used weekly or bi-weekly. |
| Consumer Fintech | 15-25% | 30%+ | Banking and payment apps. Higher for apps with spending tracking features. |
| E-commerce | 5-15% | 20%+ | Browsing is periodic. Marketplace apps with social features trend higher. |
DAU/MAU Benchmarks: B2B vs B2C
| Segment | Low | Average | High |
|---|---|---|---|
| B2C Consumer Apps | 10-15% | 20-35% | 50%+ |
| B2B SaaS Products | 5-10% | 15-25% | 30%+ |
| Mobile vs Web (B2C) | 15-20% (web) | 25-40% (mobile) | 50%+ (mobile) |
Sources: Industry benchmarking data from Mixpanel product analytics reports and Sequoia Capital engagement benchmarks. Individual results vary by product category, market, and user base maturity.
How to Calculate DAU/MAU
The calculation requires two numbers: your Daily Active Users count and your Monthly Active Users count for the same period.
DAU/MAU (%) = (Daily Active Users / Monthly Active Users) x 100
Worked example: A B2B project management tool has 12,000 DAU (averaged over the last 7 days) and 58,000 MAU (unique active users in the trailing 30 days).
- DAU/MAU = (12,000 / 58,000) x 100 = 20.7%
- This means about 1 in 5 monthly users visits on any given day.
- For a B2B SaaS product, 20.7% is within the average range (15-25%).
Smoothing tip: Single-day DAU can swing wildly because of weekends, holidays, or marketing pushes. Use a 7-day average DAU for more stable comparisons. Calculate it as (Sum of DAU over 7 days) / 7, then divide by MAU.
Do not confuse "active users" with "registered users" or "accounts." MAU should count only users who performed a meaningful action during the 30-day window. Including inactive accounts in the denominator will artificially deflate your ratio.
DAU/MAU vs WAU/MAU
DAU/MAU and WAU/MAU both measure engagement frequency, but over different time windows. The right choice depends on how often users naturally interact with your product.
| Metric | What It Measures | Best For | Typical Range |
|---|---|---|---|
| DAU/MAU | Daily engagement intensity | Social, messaging, daily-use tools | 15-65% |
| WAU/MAU | Weekly engagement intensity | B2B SaaS, fitness, productivity apps | 40-80% |
When to prefer WAU/MAU: If your product is designed for weekly use (team standup tools, weekly reporting dashboards, fitness trackers), DAU/MAU will always look low regardless of how engaged users are. WAU/MAU gives a fairer picture. A product with 60% WAU/MAU and 18% DAU/MAU has strong weekly habits. That 18% daily number is not a problem if the product is not designed for daily use.
When DAU/MAU is essential: If your business model depends on daily engagement (social media, messaging, ad-supported apps), DAU/MAU is the primary metric. Advertisers pay for daily impressions. A social app with high WAU/MAU but declining DAU/MAU is losing its daily habit, and ad revenue will follow.
Why DAU/MAU Matters
DAU/MAU is a direct measure of product-market fit for engagement-driven products. A product that people choose to use every day has built a habit. A product with a declining ratio is losing that habit.
It predicts retention. Products with high DAU/MAU ratios retain users longer. Daily engagement creates patterns that make switching costly. If a team uses your project management tool every morning, they are unlikely to migrate to a competitor. Low DAU/MAU signals that users can easily forget about your product between sessions.
It drives monetization. For ad-supported products, revenue scales directly with daily usage. A 10% improvement in DAU/MAU means 10% more ad impressions from the same user base. For subscription products, higher engagement correlates with lower churn. Users who log in daily almost never cancel.
It exposes growth quality. A marketing campaign might spike MAU, but if those new users do not return daily, DAU/MAU drops. This reveals that the campaign attracted tourists, not residents. Tracking DAU/MAU alongside acquisition helps you distinguish between real growth and vanity metrics.
Investors watch it closely. For consumer tech companies, DAU/MAU is one of the top metrics investors evaluate during fundraising. A ratio above 50% in consumer apps signals strong engagement. Below 20%, and investors will ask hard questions about whether users actually need the product.
How to Improve DAU/MAU
Improving DAU/MAU means giving users a reason to come back every day. This is about building habits, not just adding features.
1. Create a daily trigger. The best products give users something new every day. Social apps have feeds. News apps have fresh stories. Fitness apps have daily goals. Find the daily trigger that fits your product. For a B2B analytics tool, it might be a daily email digest with key metric changes that links back to the dashboard.
2. Build notification loops that deliver value. Push notifications and emails bring users back, but only if the content is genuinely useful. A notification that says "You have not logged in today" is annoying. A notification that says "Your campaign exceeded its target by 12% yesterday" is valuable. Test notification content and timing to find what drives return visits without causing fatigue.
3. Add streaks or progress mechanics. Duolingo increased DAU/MAU significantly with its streak system. Users return daily to maintain their streak. This works for any product where consistent usage creates better outcomes: learning apps, fitness trackers, habit-building tools, and even B2B products where daily check-ins improve results.
4. Improve the first-session experience. Users who have a great first session are far more likely to come back the next day. Optimize onboarding to get new users to their "aha moment" within the first visit. For a design tool, that means helping users create something they are proud of within minutes. For an analytics tool, it means surfacing an interesting insight immediately.
5. Segment and target low-frequency users. Your DAU/MAU is an average. Some users visit daily and some visit once a month. Identify the once-a-month cohort and find out what would bring them back more often. Run experiments targeting this group specifically. Moving a large "monthly" cohort to "weekly" usage can meaningfully shift the overall ratio.
6. Remove friction from return visits. Every extra click between opening the app and getting value reduces return visits. Load the most relevant content immediately. Remember user preferences and recent activity. Auto-save work so users can pick up where they left off. The faster users reach value on each visit, the more likely they are to come back.
This calculator provides estimates for informational purposes only. It does not constitute product strategy advice. Actual DAU/MAU ratios depend on your specific product type, user base, and market conditions. Use this metric alongside retention cohorts and absolute user counts for a complete engagement picture.