Value Metric
Frequency
Frequency measures how often users return to and engage with your product over a period.
What is Frequency?
Frequency measures how often a typical user engages with your product — visits per week, sessions per month, or the distribution of usage across your base. It is a core engagement and retention signal because how often people come back is one of the clearest expressions of ongoing value and habit.
Averaging frequency can hide a lot, so it is often more useful to look at the distribution: a small group of high-frequency power users can mask a long tail of rare visitors.
How to calculate it
Usage Frequency = Total Sessions in Period ÷ Active Users in Period
- Total Sessions
- Number of sessions in the period
- Active Users
- Distinct active users in the same period
Worked example
If 20,000 users generate 90,000 sessions in a month, average frequency = 90,000 ÷ 20,000 = 4.5 sessions per user.
What good looks like
- Fit the use caseMatch natural cadence
"Good" frequency depends on what the product is for — a daily tool and a quarterly one have different healthy cadences. Compare against the natural rhythm of the job to be done.
Why it matters
Frequency is a leading indicator of retention and stickiness: users who return often are far more likely to stay, convert, and refer. Watching the distribution reveals whether you are building a habit across the base or relying on a few power users, and rising frequency after a change is strong evidence you increased real value.
How to improve Frequency
Create reasons and triggers to return
Design recurring value, notifications, and workflows that fit users’ routines so returning becomes habitual.
Learn what pulls power users back
Interview your highest-frequency users to understand the recurring hook, then make it central for everyone.
Frequently asked questions
What is a good usage frequency?
It depends entirely on the product’s natural cadence. A messaging app should be used many times a day, while a tax tool is inherently seasonal. Judge frequency against the rhythm of the job your product does, and track whether it rises as you add value.
Why look at the frequency distribution rather than the average?
Averages can be dominated by a small group of very active users, hiding a large tail of infrequent ones. Looking at the distribution — how many users fall into each frequency band — reveals whether engagement is broad-based or concentrated, which changes what you should do next.