Method
What the numbers mean. What they don't.
For each venue we observe the published availability of bookable sessions over time. From that: how full the venue is, when demand happens, and what it is worth. Trends are robust. Absolute figures carry a stated band.
Definitions
Session
One bookable unit of time: a room reservation, a race, a game, a departure.
Tickets per session
Paying customers a session holds. Group size for a private room; exactly one for a seat-based engine.
Occupancy
Share of published capacity that has been sold. Not a theoretical maximum.
Estimated revenue
Sessions sold × tickets per session × price per ticket, ex-VAT, in local currency. Mixed currencies are flagged, never converted.
Coverage
Markets per segment … experiences · … PoS
| Segment | Brands | Points of sale | Markets | Model |
|---|---|---|---|---|
| … | ||||
The full register — each experience, its sales model and pricing range — is available to signed-in users on the Experiences page.
Uncertainty
±10%
band
Venues selling mostly B2C, with individual tickets. The published surface carries most of the flow.
±20%
band
Venues with a large B2B share, selling by slot. A meaningful share of bookings happens off the public surface: groups, company events, vouchers, resellers, walk-ins.
Rules
01ClosuresThree or more consecutive days at ~100 % are read as a closed venue and set to zero. Can be switched off.
02Stable perimeterLike-for-like only. Keeps venues whose data covers the whole window and its comparison window (14 days of tolerance at each edge), so both periods read the same venues.
03ComparisonPrevious period, or the same dates a year earlier. Every chart, figure and table reads the same slice.
04GranularityFollows the period: day, week, month, quarter. Can be overridden.
A radar, not an audit. If one number decides something, verify it with the operator. If the shape decides it, the radar answers directly.