The Repeat Visit Curves report shows how quickly first-time clients come back, broken down by segment.
It answers: of the new clients who first visited in this period, what share returned, how fast and which segments retain best? It's a chart dashboard, not a client list.
How to find it
Step 1: Navigate to the Analytics Feature
Log in to your Pabau account, and in the left sidebar menu, go to Analytics, then click on the "Reports" button.
Step 2: Access the reports banner
On the "Try our new suite of reports" banner, click Try it now.
Once you're in the new reports view, go to the Clients section then scroll to the "Diagnose & Compare'' group and click on Repeat Visit Curves by Segment to open the report.
Filters
- First-visit date range – The window a client's first visit must fall in. Maximum 365 days.
- Location – Exactly one location.
- Minimum cohort size – 10 / 20 / 30 / 50 (default 30). Segments smaller than this are hidden.
- Horizon – 90 / 180 / 365 days (default 365) — how far the curve extends.
Understanding the report
How to read the curves
Each curve runs from day 0 (first visit) rightward. The line shows the cumulative % of the cohort who have come back at least once by that day.
NOTE: A return must be on a later calendar day — a second appointment on the same day doesn't count.
You can switch the breakdown between five segment types: treatment category, location, acquisition source, age band, and first-visit practitioner.
NOTE: Age bands are 18–24, 25–34, 35–44, 45–54, and 55+. Missing/implausible dates of birth and under-18s go into an "Unknown" band, which is still shown.
Per-segment metrics
| Metric | Meaning |
|---|---|
| Clients | Cohort size (segments below the minimum are hidden). |
| D30 / D90 / D365 | Share who had returned by day 30 / 90 / 365. |
| Avg visits · 365d | Average visits per client in their first year, including their first visit. |
| Avg revenue · 365d | Average spend per client in their first year. |
With this understanding, you can confidently use the Repeat Visit Curves report to see how quickly new clients return, and which segments are retaining best.
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