Night-Attributed Revenue: The Honest Way to Read a Booking Curve

Take a 30-night booking worth a five-figure sum, checking in on 28 January. Check-in accounting books all of it to January — manufacturing a January spike and a February hole that never happened in the real world. Multiply by every long stay on a book and the resulting monthly chart shows the shape of check-ins, not the shape of demand.

Night attribution fixes this by placing each night’s revenue in the month the night was actually slept. The same booking then contributes a few nights to January and most to February — which is what the property actually did.

Seasonality analysis, staffing plans and pricing reviews all read the monthly curve. If that curve is check-in-shaped, an operator will "discover" seasonal patterns that are artefacts of when long stays happened to start, and price the following year against a fiction.

It is also the difference between a marketing chart and an operating record. Our own published research uses night-attributed revenue reconciled against the PMS’s analytics precisely so a reader can recompute the derived figures — an unreconcilable chart is an illustration, not evidence.

Three questions expose most published short-stay figures: Is revenue night-attributed or check-in-booked? Is it labelled gross or net — and gross of what? And is the property count constant across the series, or is growth being read as season? Any chart that cannot answer all three is telling you about the publisher, not the market.