Engagement MetricsvsChurn Rate

Engagement metrics measure how actively and deeply users interact with your product. The most important is the DAU/MAU ratio (Daily Active Users ÷ Monthly Active Users), also called the 'stickiness ratio.' A 50% DAU/MAU means half your monthly users come back every day. Facebook's DAU/MAU is 66%, making it one of the stickiest products ever built. For SaaS, a 13-20% DAU/MAU is average, 20-30% is good, and 30%+ signals exceptional engagement that predicts strong retention.

Churn rate measures the percentage of customers who cancel or stop paying during a given time period. It is the silent killer of SaaS businesses — even a small monthly churn compounds into massive annual losses. A 5% monthly churn sounds manageable, but compounded over 12 months, you lose 46% of your customer base. To maintain the same revenue, you need to acquire enough new customers to replace nearly HALF your base every year. This is why the best SaaS companies obsess over churn — Slack's monthly churn below 1% means they retain 89% of customers annually, creating a compounding revenue machine.

The trap is tracking surface-level engagement (page views, sessions) instead of meaningful engagement (core actions completed). A news site with 10 million page views but 2-minute average session time has shallow engagement — users skim headlines and leave. A project management tool with 500K sessions where users create tasks, assign team members, and complete workflows has deep engagement. Vanity engagement metrics (views, clicks) correlate poorly with retention; value-delivered metrics (workflows completed, goals achieved) correlate strongly.

The trap is tracking only 'logo churn' (customers lost) and ignoring 'revenue churn' (revenue lost from downgrades). You could have 3% logo churn but 8% revenue churn if your largest customers are downgrading. Revenue churn is more dangerous because it hits your top line harder. The second trap: calculating churn from the wrong denominator. Always use start-of-period customers, not end-of-period or average. Using end-of-period inflates your denominator and makes churn look artificially low.

Define your 'engagement stack' — 3 tiers of user engagement: (1) Passive: user logged in / opened the app. (2) Active: user performed a core action (sent a message, created a document, ran a report). (3) Power: user used advanced features or collaborated with others. Calculate DAU/MAU and track all three tiers separately. Target: at least 40% of MAU should be 'Active' tier. Set engagement alerts: if a user drops from Power to Passive, trigger a Customer Success touchpoint within 48 hours.

Calculate two churn metrics monthly: Logo Churn = Customers Lost ÷ Start-of-Month Customers × 100. Revenue Churn = MRR Lost (cancellations + downgrades) ÷ Start-of-Month MRR × 100. Implement an exit survey on your cancellation page to identify the #1 reason people leave — the top reason is usually fixable. Target: under 5% monthly for SMB SaaS, under 2% for mid-market, under 1% for enterprise.