One of the first product metrics I remember getting excited about was DAU/MAU.
The number looked simple.
Daily Active Users divided by Monthly Active Users.
One percentage that seemed to answer a big question:
“How often are people coming back to our product?”
It is useful.
But after working with product metrics for a while, I realized that the Stickiness Ratio is much easier to misunderstand than it looks.
A high ratio doesn’t automatically mean you have a great product.
And a low ratio doesn’t necessarily mean your product has a retention problem.
The context matters.
What Is the Stickiness Ratio?
The Stickiness Ratio compares your daily active users with your monthly active users.
For example, suppose your product has:
- 10,000 monthly active users
- 3,000 daily active users
Your DAU/MAU ratio would be 30%.
In simple terms, you’re looking at how frequently your monthly active audience returns on a daily basis.
The higher the ratio, the more frequently users tend to engage.
But “Higher” Isn’t Always Better
This is where things get interesting.
Imagine two products.
The first is a messaging application. People naturally use it several times a day.
The second is an enterprise tax compliance platform. Customers might only need it once or twice a month.
A 20% stickiness ratio could be disappointing for the first product.
It could be perfectly healthy for the second.
I’ve learned not to ask:
“Is our DAU/MAU high?”
Instead, I ask:
“Is our DAU/MAU appropriate for the job our product is designed to do?”
The frequency of the underlying customer problem matters.
Stickiness Is About Behavior, Not Value
Another mistake I’ve seen is treating frequent usage as proof of customer value.
But users can return frequently because they’re struggling.
Imagine an onboarding workflow that keeps failing.
A user might open the product five times trying to complete the same task.
DAU goes up.
Stickiness improves.
But customer experience has actually become worse.
That’s why behavioral metrics need context.
More activity isn’t automatically more value.
Look at Stickiness by Segment
An overall DAU/MAU ratio can hide important differences.
Suppose your product has a 25% overall stickiness ratio.
That sounds reasonable.
But after segmenting the data, you discover:
- New users: 8%
- Experienced users: 40%
- Power users: 65%
Now you have a much more interesting story.
Perhaps onboarding is preventing new users from developing a habit.
Or perhaps the product is extremely valuable once customers understand it.
The overall number wouldn’t tell you that.
Stickiness Can Reveal Product Habits
One of the most useful applications of DAU/MAU is understanding whether your product has become part of a user’s routine.
For products designed around frequent activities, increasing stickiness can be a strong signal.
If customers naturally return every day to complete an important task, you’ve probably created a meaningful habit.
But the key is natural frequency.
Don’t try to force customers into daily usage simply to improve the metric.
If your product solves a weekly problem, weekly engagement may be exactly what success looks like.
Combine It With Other Metrics
I rarely recommend looking at DAU/MAU in isolation.
Pair it with metrics such as:
Retention: Are users continuing to use the product over time?
Activation: Are new users reaching meaningful value?
Feature adoption: Are users actually using the capabilities that matter?
Task completion: Are customers successfully accomplishing what they came to do?
Churn: Are customers leaving despite frequent usage?
Together, these metrics provide a much clearer picture.
Don’t Optimize the Ratio
This is probably the biggest lesson I’ve learned.
Once a metric becomes a target, teams can start optimizing the metric instead of the customer experience.
You can increase DAU/MAU by adding notifications.
You can introduce daily rewards.
You can create unnecessary reasons to open the product.
The number goes up.
But has the product become more valuable?
Maybe not.
The goal isn’t to make customers open your product every day.
The goal is to make the product valuable whenever they need it.
Final Thought
DAU/MAU is a useful metric.
It can help Product Managers understand usage patterns, identify changes in engagement, and uncover differences between customer segments.
But it isn’t a universal measure of product success.
A product isn’t sticky simply because people use it frequently.
It’s sticky when customers choose to return because the product continues to provide value.
That’s the distinction I try to keep in mind.
Because sometimes the best product experience isn’t the one that makes customers come back every day.
It’s the one that makes them think:
“Whenever I need this, this is the product I use.”
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