Product usageWhat your best users do differently

Compare feature usage between your best cohort and everyone else, and find the features that actually predict success.

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What it is good for

Raw usage counts tell you what is popular. This tells you what is predictive, which is a different list. It indexes per-user usage in your best cohort against everyone else, so a feature only a few people use can still be the most important one in the product.

Deciding what a new user should be shown first
Prioritising the roadmap on evidence instead of volume
Finding features safe to retire
Spotting accounts using power-user features

How different businesses use product usage

The report is the same. What changes is the question you point it at.

SaaS

Find the feature that predicts paying, then put it in the first session.

What you set up

Best cohort is purchasers, compared against non-purchasers, over 90 days.

What you get to decide

Onboarding is built on the action that correlates with revenue.

Product usage: which features people actually use.

Give it your URL. It does the rest.

Free to start, no card. Tracking, attribution and your first dashboard in under a minute.