The metrics that actually tell you if users love your product
Most SaaS teams track the wrong things. They watch signups, MRR, and churn — and then wonder why they can’t predict churn before it happens. The metrics that actually signal product love are quieter. They don’t show up on the dashboard your investor asked for. But they’re the ones that compound. Breadth of feature adoption […]
Most SaaS teams track the wrong things. They watch signups, MRR, and churn — and then wonder why they can’t predict churn before it happens.
The metrics that actually signal product love are quieter. They don’t show up on the dashboard your investor asked for. But they’re the ones that compound.
Breadth of feature adoption
A user who activates one core feature is a conversion. A user who activates three is a retained customer. Track the number of distinct features each account touches in the first 30 days — that number predicts 90-day retention better than almost anything else.
Time to second session
If a user comes back within 48 hours of their first session, the probability they’re still active at 60 days roughly doubles. If they don’t return within a week, you’ve likely already lost them — they just haven’t cancelled yet.
This is why onboarding emails that fire on day 3 are too slow. The window is 24–48 hours.
Session depth, not session count
Ten two-minute sessions is not better than two fifteen-minute sessions. Depth — measured by actions per session or pages touched — tells you whether a user is extracting value or just checking in out of habit.
The users who go deep are the ones who renew. The ones who skim are the ones who churn and say “we didn’t get value.”
What to do with this
Build a simple health score: breadth + depth + recency. Weight them by what predicts renewal in your specific product. Update it weekly. Pipe it into your CRM. That score — not MRR, not DAU — is what your CS team should be looking at every morning.