Hotel Revenue Glossary · Forecasting

Booking Window Analysis

The systematic study of when guests book relative to their arrival date, segmented by guest type, channel, and day of week. This analysis reveals the typical reservation pattern and helps determine the optimal timing for pricing changes and promotional launches.

Why it matters: Booking window analysis tells you when to act. If corporate travelers for your market book 2-3 weeks out, rate changes made 45 days out have no effect on that segment. Aligning pricing decisions to booking window patterns dramatically improves their effectiveness.

Worked example: Pull twelve months of October arrivals and bucket every reservation by days before arrival. Of 1,240 room nights, 496 were booked inside 14 days (496 / 1,240 = 40%), 372 at 15-45 days (30%), and 372 beyond 45 days (30%). Now split the same file by segment: 380 of the 1,240 were corporate, and 300 of those landed inside 14 days — 300 / 380 = 79%. A rate move published 60 days out reaches at most 21% of your corporate volume.

Common mistake: Running the analysis across the whole property and pricing off one blended curve. Corporate, OTA leisure and group each book on different clocks; the blended average sits between them and describes none of them. Bucket by segment and by day of week before any rate decision hangs off it.

All glossary terms Booking Window (Lead Time) Lead Time Distribution Market Segment