one-line definition
DAU/MAU ratio measures how frequently your monthly users engage with your product on a daily basis.
formula: DAU/MAU ratio = Daily active users ÷ Monthly active users × 100
tl;dr
A 20%+ DAU/MAU ratio means strong daily engagement. SaaS tools used for work typically hit 30-50%. If yours is below 10%, users find your product useful but not essential — focus on building daily habits or workflow integrations.
Simple definition
DAU/MAU ratio (also called stickiness) tells you what fraction of your monthly users show up on any given day. It separates products people use as a daily tool from those they visit once a month and forget. For solo founders, this metric reveals whether you have built a habit or just a feature — and habits retain, features churn.
Why this matters
DAU/MAU Ratio is a critical metric for bootstrapped founders because it represents the truth about your business. Before product-market fit, this metric may feel abstract. But once you have paying customers and recurring revenue, ignoring this metric becomes dangerous to your growth trajectory.
Most solo founders make the mistake of focusing on the wrong metric at the wrong time. Before $1k MRR, the best metrics are activation and product-market fit. Between $1k-$10k MRR, dau/mau ratio becomes highly relevant. Beyond $10k MRR, it becomes one of your top three growth levers.
The reason solo founders rarely fail due to lack of brilliant ideas. They fail because they don't systematically measure metrics that matter and don't iterate on improvements.
Common mistakes
1. Calculating too early. If you have 5 customers, this metric is noise, not signal. Wait until you have at least 50 customers and 2-3 months of data before drawing conclusions. Too early and you'll see random variance, not real patterns.
2. Ignoring variations by segment. Your customers acquired via blog may behave differently than those acquired via paid ads. Your enterprise customers may function differently than your small-biz customers. Always segment your metrics to see the true signal.
3. Optimizing without context. Improving this metric by 10% means 10% more revenue? Not necessarily. Understand upstream and downstream impact before optimizing. Focus on the change that will have the biggest impact on revenue.
4. Forgetting causality flows both directions. A low metric may indicate a product issue, a positioning issue, or that you're attracting the wrong customers. Before optimizing, understand why it's low.
How to act on this
Calculate this metric for your last 30 customers right now. Do you have the data? If yes, establish a baseline and write it down. That's your first step toward improvement.
Identify your highest-value customer segment. Is it a specific monthly cohort? An acquisition channel? A customer type? Focus on that segment and try to improve this metric for them.
Run one small experiment to improve this metric by 5-10%. Measure, learn, iterate. The compounding of these small improvements over 12 months creates a huge difference.
How to calculate it
DAU/MAU ratio = Daily active users ÷ Monthly active users × 100
If you had 1,200 monthly active users in January and an average of 300 daily active users across the month:
DAU/MAU = 300 ÷ 1,200 × 100 = 25%
This means on any given day, about a quarter of your monthly user base is actively using the product. Calculate DAU as the average daily actives over a 30-day window, not a single day's peak.
Example
You build a writing assistant. Your MAU is 800 and your average DAU is 60 — a DAU/MAU of 7.5%. Users love the product when they use it, but they only open it when they have a specific writing task. To increase stickiness, you add a daily writing prompt and a streak counter. Three months later, DAU climbs to 180 with the same 800 MAU — a 22.5% ratio. The product went from occasional tool to daily habit. Retention at 90 days improves from 18% to 41% as a result.
Related reading
Related terms
- Stickiness
- Session Duration
- Retention Cohort
FAQ
What is a good DAU/MAU ratio?+
20%+ is solid for most SaaS tools. Workplace tools used daily hit 30-50%. Social apps aim for 50%+. Below 10% suggests your product is useful but not habit-forming — users come back, but not often.
My product is used weekly, not daily. Is DAU/MAU still relevant?+
For weekly-use products, track WAU/MAU (Weekly Active Users ÷ Monthly Active Users) instead. A reporting tool used every Monday might have a low DAU/MAU but a healthy 60% WAU/MAU. Match the metric to your product's natural usage cadence.