Usage metrics

Usage predicts renewal better than a survey or a contract clause. A customer whose usage climbs across several features is likely to stay and grow. One whose usage slides is half way out the door months before saying so. A thousand signups mean little if nobody logs in this week, because signups do not pay the renewal. Habits do.

Usage also shows where a feature fails to earn its place, and which accounts are succeeding enough for sales to approach with confidence.

• Log the interactions that signal real value, such as the core action, not vanity counts like page views.
• Group by user, account and signup cohort so a pattern appears where someone can act on it.
• Set the benchmark from customers already succeeding, such as the milestones they reached in their first thirty days, not an arbitrary number.
• Flag any account falling behind that benchmark as an early-warning case, not a note for the renewal call.
• Pair the numbers with session recordings when a drop-off is hard to explain. A stalled step often has a simple cause in the interface that a count cannot show.
• Put the headline figures somewhere the team sees daily.

Signing up is a promise. Using the product is the proof. Usage metrics count the second: how many people log in each week, which features they touch, how often they complete the core action, and how long they spend there. Common ones are weekly active users, feature adoption (the share of accounts using a given feature) and depth (how many different features an account has used).

• Counting logins only. A customer can log in daily and never do the thing that matters.
• Comparing small and large accounts on raw totals instead of on usage per seat.