Booking lead time (also known as booking window) is the number of days between when a guest makes a reservation and their scheduled check-in date. Understanding your average booking lead time helps hosts optimize pricing strategy, know when to discount unsold nights, and forecast future revenue with greater accuracy.
Formula:
Booking Lead Time = Check-in Date - Booking Date (in days)
Average Booking Lead Time = Sum of All Lead Times / Number of Reservations
Example:
Your last 5 reservations:
| Booking Date | Check-in Date | Lead Time |
|---|---|---|
| Jan 5 | Feb 14 | 40 days |
| Jan 12 | Jan 25 | 13 days |
| Jan 18 | Mar 8 | 49 days |
| Jan 22 | Feb 1 | 10 days |
| Jan 28 | Feb 22 | 25 days |
Average Booking Lead Time = (40 + 13 + 49 + 10 + 25) / 5 = 27.4 days
This tells you that guests for your listing typically book about 4 weeks in advance.
| Market Type | Average Lead Time | Notes |
|---|---|---|
| Urban business | 7-21 days | Last-minute corporate travel |
| Urban leisure | 14-35 days | Weekend getaways planned 2-4 weeks out |
| Beach/coastal vacation | 45-90 days | Summer trips planned months ahead |
| Mountain/ski resort | 30-75 days | Winter season books early |
| Holiday/events | 60-120+ days | Major holidays book very far in advance |
| Rural/nature retreat | 21-45 days | Long weekend planners |
Booking lead time (also called booking window) is the number of days between when a guest makes a reservation and when they check in. A booking made on January 1 for a February 15 check-in has a 45-day lead time.
The average Airbnb booking lead time is typically 30-45 days, but it varies widely by market type. Urban listings average 14-30 days, while vacation destinations see 45-90+ day lead times. Peak season bookings tend to have longer lead times than off-season bookings.
Use lead time data to time your pricing adjustments. If your market typically books 30 days out, start with higher rates and begin lowering them if a date remains unbooked within 14 days. Conversely, if a date books earlier than expected, it may be underpriced.
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