Calculate Your Stickiness Ratio with Our Free Calculator

Measure how engaged your users truly are with the stickiness ratio. This key SaaS metric compares your Daily Active Users (DAU) to Monthly Active Users (MAU) to reveal how often users return to your product.

Stop guessing about user engagement and start understanding exactly how habit-forming your product really is. A higher stickiness ratio means users can't stay away from your product.

DAU/MAU Stickiness Ratio

0%

DAU/WAU Ratio

0%

WAU/MAU Ratio

0%

Stickiness Trend Visualization

Track how your stickiness ratio compares to industry benchmarks. See where your product stands and what level of user engagement you should be targeting.

Use the slider to simulate different DAU scenarios and watch how your stickiness ratio changes. This helps you set realistic engagement goals and understand what it takes to reach best-in-class status.

5,000 DAU
Excellent (>25%)
Good (15-25%)
Average (10-15%)
Below Average (<10%)

Engagement Scenario Planning

Model different engagement scenarios to see how changes in your daily and weekly active users impact your stickiness ratio. Compare conservative, moderate, and aggressive engagement strategies.

Understanding these scenarios helps you set realistic targets for product improvements and growth initiatives that actually move the needle on user engagement.

How to Use Stickiness Ratio for Product Decisions

The stickiness ratio is one of the most powerful metrics for understanding user engagement and product-market fit. Learn how to apply this metric to make smarter product and growth decisions.

Most product teams track stickiness but don't know how to act on it. These practical applications show you exactly when and how to use your stickiness data to improve retention and drive growth.

Product-Market Fit Assessment

A stickiness ratio above 20% typically indicates strong product-market fit. Users who return daily to a product they use monthly are demonstrating that your product has become essential to their workflow. If your ratio is below 10%, it's a signal to investigate why users aren't forming daily habits with your product. This metric helps you understand if you've built something people truly need versus something they use occasionally.

Feature Prioritization

Use stickiness ratio changes to evaluate feature launches. When you release a new feature, track how it impacts your DAU/MAU ratio. Features that increase stickiness are driving real engagement, while features that don't move this metric might be nice-to-have but not essential. This helps you prioritize your roadmap around features that actually change user behavior and keep them coming back.

Retention Strategy Planning

Your stickiness ratio reveals the gap between occasional users and power users. By segmenting users based on their individual stickiness patterns, you can identify what makes power users different and create targeted retention campaigns to move occasional users toward daily engagement. This segmentation approach is far more effective than one-size-fits-all retention strategies.

Competitive Benchmarking

Compare your stickiness ratio against industry benchmarks to understand your competitive position. Social media apps typically see 50%+ stickiness, while B2B SaaS tools average 10-20%. Knowing where you stand helps you set realistic targets and identify whether your engagement challenges are industry-specific or unique to your product. This context is crucial for setting achievable improvement goals.

Frequently Asked Questions About Stickiness Ratio

Find answers to the most common questions about measuring and improving user engagement.

What is the stickiness ratio and how is it calculated?

+

The stickiness ratio is a key engagement metric calculated by dividing Daily Active Users (DAU) by Monthly Active Users (MAU). For example, if you have 5,000 DAU and 25,000 MAU, your stickiness ratio is 20%. This percentage tells you what portion of your monthly users are engaging with your product on any given day, indicating how habit-forming your product is.

What is a good stickiness ratio for SaaS products?

+

For SaaS products, a stickiness ratio of 20% or higher is generally considered good, while 25%+ is excellent. However, benchmarks vary significantly by product type. Collaboration tools like Slack can see 50%+ stickiness, while analytics platforms might see 10-15% and still be healthy. The key is understanding your specific use case and comparing against similar products.

What's the difference between DAU/MAU and DAU/WAU ratios?

+

DAU/MAU measures daily engagement relative to your monthly user base, while DAU/WAU compares daily users to weekly users. DAU/WAU is useful for products with weekly usage patterns and gives you a faster feedback loop on engagement changes. Products with strong daily habits will have high DAU/WAU ratios (50%+), while weekly-focused products might have lower ratios but still be healthy.

How can I improve my stickiness ratio?

+

To improve stickiness, focus on creating daily value triggers: email digests, notifications for relevant updates, daily streaks or goals, and features that provide fresh content each day. Analyze what power users do differently and create pathways for casual users to adopt those behaviors. Also, reduce friction in your daily workflow so users can get value quickly each time they return.

Does a low stickiness ratio always indicate a problem?

+

Not necessarily. Some products are designed for periodic rather than daily use. A tax preparation software with 5% stickiness during tax season might be perfectly healthy because users only need it occasionally. The key is whether your stickiness matches your product's intended usage pattern. Compare against similar products rather than universal benchmarks.

How often should I track stickiness ratio?

+

Track your stickiness ratio weekly for operational insights and monthly for strategic analysis. Daily tracking can be noisy due to natural fluctuations (weekends, holidays). When launching new features or running experiments, monitor stickiness more closely to measure impact. Set up alerts for significant drops that might indicate technical issues or user experience problems.