Product 02 / 05
Sauna and bathhouse utilization forecasting
Measured sell-through for every timeslot, half hour, day and month at sauna and bathhouse venues, plus forecasts of how full tomorrow will be, built from how the same slots booked before.
Illustrative: a synthetic sample week in the platform’s chart style. No venue’s data.
Questions it answers
- Which hours sell out, and how far ahead?
- How full is a venue at entry, by day of week and half hour?
- How fast does a day book, and how full will tomorrow be?
- How does a venue’s utilization compare with its competitive set?
What you get
- Utilization at entry (capacity-weighted sell-through) per venue, day and month, with an interval and coverage.
- Half-hour heatmaps on one time grid for every venue, so any two venues compare cell for cell.
- Booking pace curves from the first poll, up to nine days ahead, to entry.
- Contraction timelines showing, poll by poll, when each unit of a day was taken.
- Next-day utilization forecasts, published only when at least 80 % of the open capacity has comparable history.
A sample deliverable
| Next service date | Booked so far | Forecast utilization (P10–P90) | Status |
|---|---|---|---|
| A Saturday | 58 % | 71 % – 83 % | Provisional |
| A Sunday | 41 % | — | Withheld: 64 % of open capacity has comparables (needs 80 %) |
How it is built
Every bookable timeslot is polled every 5 minutes from two days before its date (today, tomorrow and the day after) until it starts (currently one venue, which needs a full browser capture, every 30 minutes), and hourly three to nine days ahead wherever the booking platform accepts a date window. Units that disappear between polls are bookings; units already gone at the first poll count toward the final state but never as observed flow; a slot whose final state was not seen stays unknown, never zero. The next-day forecast adds to each open slot the pickup that completed slots at the same start time showed from the same lead time to entry.
Read the methodology.
Who it is for
- Operators setting schedules, staffing and peak pricing.
- Developers and investors testing demand depth by hour.
- Brands and advisors tracking category demand.
Work with HeatCheck
Platform accounts are by invitation, and research is scoped per engagement. Write with your company, the venues or markets you care about, the decision you are making and when.