User stickiness measures how frequently a product's active users come back within a period, most often expressed as the DAU/MAU ratio.
What is User Stickiness?
The term is typically calculated over a rolling window, comparing average daily active users against monthly active users for the same period, though some teams substitute a weekly figure (WAU/MAU) when daily use is not the expected pattern for their product category. Teams commonly use it alongside raw active-user counts specifically because MAU growth alone can hide a base that is growing in reach but not in habit. Benchmarks vary widely by category: a messaging or social app might target 20-50%, while a utility app used a few times a month can be healthy at 10%, so the useful comparison is usually against the product's own history rather than a fixed target. One caveat is that a rising DAU/MAU ratio driven by a shrinking MAU denominator, rather than growing DAU, is not the same win as one driven by genuine increases in daily engagement.
Why User Stickiness Matters
User stickiness helps a product team separate growth in reach from growth in habit. An app can add monthly users quickly through acquisition spend while each of those users opens it only once, and MAU alone hides that. Stickiness shows whether the people who are active are forming a routine, which is the behavior that predicts long-term user retention and revenue. For growth teams, it also acts as a guardrail: if acquisition pushes MAU up and DAU/MAU down, the new users are less engaged than the existing base and the channel mix needs a second look.
How to Calculate User Stickiness
The standard formula divides daily active users by monthly active users for the same period, usually averaged over the month. The table below shows the ratio alongside the other measures teams use.
| Measure | Formula | What it tells you |
|---|---|---|
| DAU/MAU ratio | Average DAU in month / MAU | Share of monthly users active on a typical day |
| WAU/MAU ratio | Average WAU in month / MAU | Share of monthly users active in a typical week |
| Sessions per user | Total sessions / active users | Frequency of return regardless of days |
| L-ness (L7, L28) | Distribution of active days per user | How many users are active on many days vs. few |
Worked example: an app averages 15,000 DAU across a month in which its MAU is 60,000. DAU/MAU is 15,000 / 60,000 = 25%, meaning a typical monthly user opens the app on about one day in four, or roughly 7.5 days a month. If the following month MAU rises to 75,000 while average DAU holds at 15,000, stickiness drops to 20%. The app gained users but lost habit strength, and the team should look at who the new users are before celebrating the MAU growth.
Benchmarks vary by category. Messaging and social apps commonly sit between 20% and 50%; utility apps used a few times a month can be healthy at 10%. Comparing against the app's own history is more useful than comparing against a different category.
User Stickiness and social.plus
Stickiness rises when an app gives users a reason to return that changes daily, and other people are the most reliable source of that change. New posts in a feed, replies in a group, a message in chat, or a live stream starting all create a reason to open the app today that did not exist yesterday. social.plus provides engagement infrastructure for feeds, groups, chat, live streaming, and stories through SDKs, APIs, and UIKit, and brands that have added these features report engagement rates of 20-50% and retention lifts of 10-35%. Betgames runs live chat around games for 200M users, where daily events drive daily return. Social features supply the reasons to come back; habit forms through consistent content and community management over time.
Key Takeaways
- User stickiness measures how often active users return, most commonly as the DAU/MAU ratio.
- It separates growth in reach from growth in habit, which MAU alone cannot show.
- A 25% DAU/MAU ratio means a typical monthly user is active about one day in four.
- Social features that change daily, such as feeds, chat, and live events, give users a fresh reason to return.