one-line definition
Stickiness measures how frequently your monthly users return to your product on a daily basis, indicating how essential it is to their workflow.
formula: Stickiness = DAU ÷ MAU × 100 (same as DAU/MAU ratio). Above 20% = good, above 50% = exceptional.
tl;dr
High stickiness means users need your product regularly — it's a proxy for product-market fit. If users sign up but only visit 2-3 times per month, look for ways to create daily triggers: notifications, integrations, or workflow hooks.
Simple definition
Stickiness is the DAU/MAU ratio expressed as a percentage. It answers a simple question: of the people who use your product this month, how many come back every day? A stickiness of 25% means one in four monthly users opens your product on any given day. For solo founders, stickiness is the clearest signal of habit formation — high stickiness means your product is embedded in someone's routine, not just bookmarked.
Why this matters
Stickiness 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, stickiness 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
Divide your Daily Active Users by your Monthly Active Users and multiply by 100.
Formula: Stickiness = DAU ÷ MAU × 100
If you have 200 DAU and 1,000 MAU, your stickiness is 20%. Measure DAU as an average over the month (sum of daily DAUs divided by days in month) for a more stable number.
Example
You build a habit-tracking app. Your MAU is 3,000. On an average day, 450 users open the app. Stickiness = 450 ÷ 3,000 × 100 = 15%. That's below the 20% threshold. You add a morning push notification with yesterday's streak count. Over the next month, average DAU climbs to 690 while MAU stays roughly the same. New stickiness: 23%. The notification created a daily trigger that turned occasional users into regulars — and regular users are far more likely to upgrade to paid.
Related reading
Related terms
- DAU/MAU Ratio
- Retention Cohort
- Session Duration
FAQ
What is a good stickiness ratio for a SaaS product?+
Above 20% is solid for most B2B tools. Above 50% means your product is part of the daily workflow — think Slack or email. Below 13% suggests a tool people use occasionally but don't depend on.
How do I improve stickiness without annoying users?+
Build features that create natural daily triggers — dashboards that update overnight, digest emails, or integrations with tools people already open daily like Slack or their calendar.