Stickiness ratio is a product engagement metric that compares active users over a short period, usually daily, with active users over a longer period, usually monthly. It indicates how routinely people return to a software product, but it is meaningful only when the activity definition and expected usage cadence fit the product.
Stickiness Ratio
What Is Stickiness Ratio in Software?
Stickiness ratio is a software product engagement metric that compares users active in a short period, usually one day, with users active in a longer period, usually one month. It shows how routinely people return to an app, provided an “active” user completes a meaningful action, such as creating a task, sending a message, or reviewing a report. Daily active users are called DAU, and monthly active users are called MAU. This is different from the skew-stickiness ratio, a quantitative finance term related to options pricing.
How the DAU/MAU Stickiness Ratio Works
The standard formula is DAU divided by MAU, expressed as a percentage. Use the same product, identity rules, and reporting windows each time.
- Define an active event that represents real product value, not just opening a page.
- Count unique users who complete that event on a typical day.
- Count unique users who complete it during the same rolling 30-day period.
- Divide DAU by MAU. For example, 240 daily active users out of 1,200 monthly active users produces a 20% ratio, an approach described in Adjust’s user stickiness guide.
Stickiness Ratio vs. Retention and Engagement
Stickiness is useful, but it answers only one engagement question. Pair it with other product metrics.
| Metric | What it answers |
|---|---|
| Stickiness ratio | How often monthly users return daily. |
| Retention rate | Whether users still return after a set period. |
| Session frequency | How often users open the product. |
| Feature adoption | Whether users reach valuable capabilities. |
| Conversion | Whether users complete a desired outcome. |
Benefits of Measuring Product Stickiness
Used carefully, the ratio helps teams focus on recurring value rather than downloads alone.
- It can reveal workflows that have become habitual.
- It helps evaluate whether a release improves regular use.
- It supports prioritization of adoption and onboarding work.
- It can be segmented by role, device, platform, or acquisition cohort.
Limitations of the Stickiness Ratio
There is no universal healthy ratio. Expected frequency depends on what the software is designed to help people do.
- A daily collaboration tool and quarterly reporting software should not be judged by the same target.
- Notifications and low-value check-ins can raise DAU without proving value.
- Seasonality, shared accounts, and inconsistent event tracking can distort results.
- A high ratio does not prove long-term retention or customer satisfaction.
How to Improve Stickiness Without Gaming the Metric
Improve the recurring job the product helps users complete, not the number of app opens.
- Identify the user task that should recur naturally.
- Instrument events that show the task was completed successfully.
- Review low-engagement cohorts to find friction or missing value.
- Reduce steps in the recurring workflow.
- Test changes and compare results against retention and user feedback.
Using Stickiness Ratio When Building With Emergent
When building with Emergent, teams can create analytics-aware web and mobile products, define value-bearing events, and connect analytics services through an API integration. An AI app builder can also speed up iteration on onboarding, recurring workflows, and feedback-driven improvements. Build measurable, engaging apps with Emergent.
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