In the Frequency view:
- Use Non‑cumulative Frequency to see users who were active on exactly X unique days. [Frequency view]
- Then read off or export the counts and group them into your buckets:
Example mapping:
- 1 day (Tourists) → users with frequency = 1 day
- 2–3 days (Trying) → sum of users with frequency = 2 and 3 days
- 4–7 days (Adopting) → sum of users with frequency = 4–7 days
- 8–14 days (Habit forming) → sum of users with frequency = 8–14 days
- 15+ days (Sticky/Power) → sum of users with frequency ≥ 15 days
This will give you numbers like:
- “35 users used our app on 15+ unique days in the period since 2025”
- “37 users used our app on 8–14 unique days in the period since 2025”
These correspond directly to the style of breakdown you listed and to the “power user curve” concept described in Mixpanel’s docs and blog. [Frequency view; MAU blog]
