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Retention
intermediate📖 6 min read

Engagement Metrics

Also known as: User EngagementProduct EngagementDAU/MAUStickiness RatioEngagement Rate

DAU/MAU Ratio = Daily Active Users ÷ Monthly Active Users × 100

💡The Concept

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.

⚠️The Trap

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 Action

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.

Pro Tips

#1

Track engagement by cohort, not just in aggregate. Your overall DAU/MAU might look stable while new cohorts are actually engaging 20% less than older ones — a hidden retention problem masked by a loyal early adopter base.

#2

Define 'active' precisely and consistently. Does opening the app count? Loading a page? Creating content? Slack defines 'active' as sending at least one message — much more meaningful than just opening the app.

#3

Use the 'L7' (days active in last 7) and 'L28' (days active in last 28) distributions. These show engagement depth: an L7 of 5-6 means deeply engaged daily users. An L28 of 4-5 means monthly users who pop in once a week.

🚫Common Myths

Myth: “More time in your app means higher engagement

Reality: Time-in-app can indicate confusion, not engagement. If users spend 45 minutes doing a task that should take 10 minutes, that's friction, not stickiness. Measure task completion rate and speed alongside time-in-app.

Myth: “Push notifications increase engagement

Reality: Overcommunication destroys engagement. Research by Localytics shows apps sending 4+ push notifications per week see 2x opt-out rates. Strategic notifications (triggered by user behavior, not a schedule) increase engagement 3-4x more than broadcast pushes.

📈Industry Benchmarks

DAU/MAU Ratio

B2B SaaS (daily-use tools like Slack, Notion)

Elite

> 40%

Good

25-40%

Average

13-25%

Needs Work

8-13%

Critical

< 8%

Source: Mixpanel 2024 Product Benchmarks

DAU/MAU Ratio

Consumer / Social Apps

Elite

> 50%

Good

30-50%

Average

15-30%

Needs Work

10-15%

Critical

< 10%

Source: Sequoia Capital Consumer Product Benchmarks

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