# How Bowling Data measures demand

> One written rulebook for every venue; a changed rule is a new model version.

## Observation

- Every bookable slot is observed as inferred booking signals in public data while it is on sale.
- Only public data, with no logins and no private accounts. Every observation is kept as received and never edited.

## From signals to bookings

- A slot is one bookable start time with a capacity counter, in the venue’s own unit (a lane per start time, or a lane for a booked duration).
- Changes in what a slot offers the public are read as inferred booking signals; bookings are inferred from those signals, never assumed.
- Signals that cannot be told apart stay unknown; when a slot’s final state is not observed, its bookings are a modeled range, not a guess.

## Figures

- Utilization: the share of offered capacity booked by each slot’s start, with coverage (the share observed through to the end).
- Revenue (GBV): inferred bookings × the venue’s published prices, packages and memberships, as an estimate. Prices are never backdated.
- Every estimate carries an 80 % interval (P10–P90) and an A–D grade for its width.
- Markets: venue figures combine into market totals, each with its own range.
- Next-day forecast: published only when enough comparable history supports it.

## Rules

- Unknown is never zero: missing or conflicting observations widen intervals and lower coverage.
- Raw is truth: every observation is kept as received and never edited; every figure is rebuilt from them.
- Models are versioned and proven against each venue’s raw data; released versions are frozen.

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Bowling Data — The first market intelligence platform for bowling centers. Canonical page: https://bowlingdata.co/methodology · Contact: luke@fronresearch.com · Index for agents: https://bowlingdata.co/llms.txt · Updated 2026-11-09