Power users are the people who use your product most often and most deeply. They aren't always your biggest customers or your loudest ones, but they show more clearly than anyone what your product is genuinely good at. Find them, learn from them and help more people become them, and retention tends to follow.
This guide covers what "power users" means in product analytics, how to find them with a power-user curve, what to learn from them, how to create more of them, and the trap of building only for them.
What does "power user" mean?
In product analytics, a power user is someone whose usage is in the top tier on the dimensions that matter for your product:
- Frequency: active on many days of the period.
- Depth: uses several core features, not just one.
- Breadth: brings others in: invites colleagues, shares work, connects integrations.
The exact threshold depends on your product's natural rhythm. For a team chat tool, a power user might be active 25 days a month. For an accounting tool used at month end, three sessions a month around the close might be power usage. Define it in terms of your product, write the definition down, and keep it stable. The active users glossary entry covers the related definitions.
Find them with a power-user curve
The clearest way to see power users is the power-user curve, also called the frequency chart or L28/L30 chart:
- Take one month.
- For each user active that month, count the number of distinct days they were active.
- Plot how many users were active on 1 day, 2 days, 3 days, up to 30.
How to read it:
- A curve that falls steeply and stays near zero on the right means most people use the product occasionally. Normal for monthly-use products; a warning for products meant to be daily.
- A "smile": a second rise on the right means there's a group using the product habitually, on 20 or more days. That group is your power users.
- The smile growing month over month is one of the best signs of product-market fit you can get. See product-market fit.
Plot the curve per cohort, too. If people who signed up recently reach the right side faster than older cohorts did, onboarding is working.
Other ways to identify power users
- Feature depth. Users who used four or more core features this month.
- Core action volume. The top 10% by count of your most important event, such as reports created or messages sent.
- Account influence. Users who invited the most teammates or whose work is viewed by most others.
- A built-in segment. Many tools, including LogZuno, have a ready-made Power users segment you can refine.
Combine two of these to avoid false positives: a script hammering an API isn't a power user.
What to learn from power users
Power users are a map of the value in your product. Study four things:
Their first week
Which actions did they take early that others didn't? These are candidates for onboarding. If 80% of power users invited a colleague in their first three days, and only 20% of everyone else did, inviting a colleague is probably part of activation. Compare cohorts in a funnel to check.
Their routine
What does a typical day look like? Read a few user timelines. The sequence of events is the product's real job, in practice, which is often different from what the homepage says.
Their workarounds
Things power users do repeatedly by hand, such as exporting to a spreadsheet every Monday or copying the same filter, point at your next features.
Who they are
Role, company size, plan, acquisition source. That describes the customers you should find more of. It's also input for customer segmentation and ad targeting.
Then talk to them. Power users are usually glad to explain how they work, and twenty minutes on a call often beats a month of dashboards.
How to create more power users
- Lead new users to the actions power users took early. Put them in onboarding, not in a help article.
- Make the habit easy to repeat. Saved views, scheduled reports, reminders and notifications tied to things users care about give a reason to come back.
- Grow inside accounts. Prompt invitations at moments of value; accounts with several active people retain better. See SaaS customer retention.
- Remove friction from the core loop. Speed up the action power users do most; it helps everyone.
- Watch the curve monthly. If the right side of the power-user curve grows, the changes are working.
Power users, champions and product-qualified leads
Three related ideas are often blurred:
- A power user uses the product heavily. It's a behavioural label.
- A champion advocates for the product inside their company. Champions are often power users, but a manager who never logs in can be one too.
- A product-qualified lead is a free or trial user whose behaviour suggests they're ready to buy. Power-user behaviour during a trial is one of the strongest signals. See product-qualified leads.
Track the behaviour, and let sales and success teams decide what it means for each account. A customer engagement score can combine these signals into one number per account.
Power users and revenue
Power users often, though not always, map to your most valuable accounts. Check the overlap:
- Break down revenue by whether an account has at least one power user.
- Look at expansion: do accounts with power users add seats or upgrade more?
- Look at churn: do accounts lose their power user before they cancel?
That last pattern is the most actionable. When an account's only power user goes quiet, the account is at risk, and an alert on that event gives your team time to react. See customer lifetime value for how this shows up in revenue.
Don't build only for power users
Power users ask for depth, shortcuts and settings. Some of those requests help everyone; many add complexity that makes the product harder for new users, who are the power users you don't have yet.
Weigh each request against activation, not only against the people asking. A useful test: would this change make the first week easier or harder for a new user? If harder, it might still be worth building, but as an advanced option rather than a default. Feature creep is often power-user requests accepted one at a time.
Finding power users in LogZuno
LogZuno gives you the tools to find and follow power users from your own events:
- The frequency chart draws the power-user curve for any event, in your project's timezone.
- The built-in Power segment lists users active in the period with more than one event, and you can build stricter segments from what people did.
- User profiles show each person's timeline, properties and account.
- Group analytics show which accounts have power users and which are losing them.
- Alerts tell you when a key account's activity drops.
See product analytics in LogZuno, user engagement metrics, and LogZuno for product teams.
Key takeaways
- Power users are your most frequent, deepest and most connected users, defined for your product's rhythm.
- The power-user curve shows whether a habitual group exists and whether it's growing.
- Learn from their first week, routine, workarounds and profile, then talk to them.
- Help more users become them, but don't let their requests make the product harder for newcomers.