Stickiness rate measures how often users return to a product within a defined period. SaaS teams commonly use it to understand whether a product becomes part of a user’s regular workflow. One popular version compares daily active users (DAU) with monthly active users (MAU), but the right formula depends on the product’s usage pattern and the question being asked.
How to Calculate Stickiness Rate
DAU/MAU Stickiness = (Daily Active Users ÷ Monthly Active Users) × 100
Example: If a product has 1,200 daily active users and 8,000 monthly active users, the ratio is 15%.
Define “active” using meaningful product behavior rather than simply a login if possible. Use a consistent time window and user-identification method. Some products also measure weekly active users against monthly active users, especially when daily use is not expected.
What Stickiness Tells You
A higher stickiness rate can indicate that users return frequently, but it does not automatically prove satisfaction or business success. A product may have naturally frequent use, while another delivers value through occasional but important tasks. Interpret the metric in the context of the product’s core job.
- Habit and workflow adoption: Shows whether the product is used repeatedly.
- Engagement patterns: Helps compare user groups and changes over time.
- Product improvement: Can help evaluate whether features encourage meaningful return visits.
- Retention investigation: May reveal changes in repeat use before subscription churn becomes visible.
Stickiness Rate vs. Related Metrics
| Metric | Focus | Difference |
|---|---|---|
| Stickiness rate | Frequency of use within a larger active-user group | Often expressed as DAU/MAU or WAU/MAU |
| Active users | Number of users active in a period | A count rather than a ratio |
| Engagement rate | Level of interaction with selected content or product actions | Definition varies by product and event |
| Retention rate | Users who return or remain active after a defined interval | Often follows a cohort over time |
How to Improve Stickiness
Help users reach recurring value
Understand which tasks bring users back and make those workflows reliable and easy. Improve the core experience before adding reminders or reward mechanics.
Reduce friction in important tasks
Use sensible defaults, saved preferences, templates, and clear navigation to help users complete repeat tasks with less effort.
Support collaboration when it fits
For team products, shared projects, comments, notifications, and workflows can make the product more useful to a group. Add collaboration features only when they support the product’s purpose.
Use relevant reminders carefully
Notifications can help users resume unfinished work or notice important updates. Make them timely and controllable, and avoid messaging that creates noise without adding value.
Segment your analysis
Compare stickiness by role, plan, acquisition source, and signup cohort. An overall average can hide groups that use the product successfully and others that struggle to find value.
Measure outcomes, not just visits
Pair stickiness with activation, retention, customer satisfaction, and business outcomes. More frequent usage is useful only when it reflects meaningful progress for the customer.
Common Mistakes
- Comparing stickiness across products with very different natural usage frequencies.
- Counting logins as meaningful activity without validating the definition.
- Assuming a higher ratio always means better customer value.
- Changing the active-user definition without documenting the change.
- Using notifications to increase activity without considering user preferences.
Frequently Asked Questions
What is a good stickiness rate?
There is no universal benchmark. A daily collaboration tool may have different expectations from a product used for quarterly reporting. Compare similar products and track your own trend.
Is DAU divided by MAU the only formula?
No. DAU/MAU is common, but WAU/MAU or other ratios may better match a product’s expected usage. State the formula whenever reporting the metric.
Can stickiness rise while retention falls?
Yes. A smaller group of highly active users can raise the ratio even as other users leave. Review cohort retention and total active-user counts alongside stickiness.
How often should stickiness be reviewed?
Daily or weekly analysis can help teams spot changes, but decisions should account for seasonality, product use cycles, and enough data to avoid overreacting to noise.