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The tool computes the growth percentage for each metric.
For each metric, you’ll see:
| Metric | Interpretation | |
| DAU Growth % | Measures daily engagement consistency. | |
| WAU Growth % | Captures mid-term activity trends. | |
| MAU Growth % | Reflects overall platform reach and adoption. |
Example Output Message:
“MAU is growing faster than DAU, which may indicate wider reach but shallower daily engagement.”
| Product Type | DAU Growth (avg) | WAU Growth (avg) | MAU Growth (avg) | Interpretation |
| SaaS / B2B | 3–6% | 5–8% | 8–12% | Balanced engagement across cycles |
| Mobile Apps | 5–10% | 10–15% | 15–25% | Fast-paced user acquisition |
| Fintech | 4–8% | 6–10% | 10–18% | Healthy engagement spread |
| E-commerce | 3–7% | 5–9% | 10–15% | Steady seasonal shifts |
| Gaming / Entertainment | 10–20% | 15–25% | 25–40% | High-velocity engagement |
Example Data:
| Metric | Previous Period | Current Period |
| DAU | 4,000 | 4,800 |
| WAU | 9,000 | 10,200 |
| MAU | 20,000 | 23,000 |
Step 1 – Calculate Growth
Step 2 – Interpretation:
“DAU and WAU are growing steadily, but MAU growth is slightly higher — suggesting new user acquisition is outpacing deep engagement.”


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DAU, WAU and MAU count the unique users active in a product over different time windows. DAU covers a single day, WAU covers seven days and MAU covers 30 days or a calendar month. Each user is counted once per window, however many times they return. Together, these metrics show reach and engagement depth.
Use this formula for each metric: growth % = ((current − previous) ÷ previous) × 100. For example, if DAU rose from 4,000 to 4,800, WAU from 9,000 to 10,200 and MAU from 20,000 to 23,000, growth is 20% for DAU, about 13.3% for WAU and 15% for MAU.
The DAU/MAU ratio, often called stickiness, shows what share of monthly users are active on a typical day. Calculate it as DAU ÷ MAU. In the example above, it rose from 20% (4,000 ÷ 20,000) to about 20.9% (4,800 ÷ 23,000), so users are engaging more often. Daily-use products naturally score higher than occasional-use ones.
When DAU grows faster than MAU, existing users are coming back more often, which signals deeper engagement and stronger habits. When MAU grows faster than DAU, the user base is widening but new users are not yet using the product daily. Use this comparison to decide whether to focus on activation and retention or on acquisition.
Define an active user by a meaningful action that reflects real value, such as sending a message, completing a transaction or using a core feature. Simply opening the app is usually not enough. Keep the definition, time zone and tracking setup the same for both periods, or the growth figures will not be comparable.