Engagement (DAU / WAU / MAU)
Engagement Metrics track how often users interact with your product over time.
DAU, WAU, and MAU are standard metrics to measure activity, stickiness, and product adoption in startups.
🧩 What Are DAU, WAU, MAU?
- DAU (Daily Active Users) — number of unique users who interact with your product in a day.
- WAU (Weekly Active Users) — number of unique users who interact with your product in a week.
- MAU (Monthly Active Users) — number of unique users who interact with your product in a month.
These metrics help you understand how frequently users engage and whether your product is “sticky.”
🧠 Why Engagement Metrics Matter (Especially for Startups)
Engagement Metrics answer critical questions for founders:
- Are users coming back regularly?
- Which periods show higher or lower activity?
- Is the product sticky enough to retain users?
- How do changes in features, onboarding, or campaigns affect usage?
High engagement indicates strong product-market fit, which leads to higher retention and LTV.
📘 How to Calculate DAU / WAU / MAU
- DAU: Count unique users who interacted with your product in a single day.
- WAU: Count unique users who interacted in the last 7 days.
- MAU: Count unique users who interacted in the last 30 days.
You can also calculate the DAU/MAU ratio to measure stickiness:
DAU/MAU (%) = (DAU ÷ MAU) × 100
A higher DAU/MAU ratio means users return frequently and your product is more engaging.
💡 Common Mistakes Founders Make
- Counting total logins instead of unique users
- Mixing active users with inactive or trial accounts
- Not defining activity clearly (what counts as an interaction)
- Ignoring seasonality or weekly/monthly patterns
⭐ Practical Examples
Example 1: Mobile App
DAU = 1,000
MAU = 4,000
DAU/MAU = 25% (users open the app ~1/4 of days in a month)
Example 2: SaaS Startup
WAU = 600
MAU = 1,200
WAU/MAU = 50% (half of monthly users are active weekly)
Example 3: E-commerce
DAU = 500
MAU = 2,000
DAU/MAU = 25% (frequent buyers or visitors)
🎯 Startup Rule (Remember This)
Tracking engagement consistently reveals product health and helps optimize onboarding, features, and retention strategies.