Skip to content

Booking Window

Booking window is the amount of time between when a reservation is made and the guest's arrival date.

The booking window is the amount of time between when a reservation is made and when the guest's stay begins.

It is sometimes also described as booking lead time.

What It Means in Practice

If a guest books on:

June 1

for arrival on:

July 1

the booking window is:

30 days.

A same-day reservation has a very short booking window.

A reservation made a year ahead has a long one.

Why It Matters

Booking-window patterns can help properties understand when demand appears.

For example:

  • Weekend leisure trips may book weeks ahead
  • Events may create reservations months ahead
  • Business travel may have shorter lead times
  • Last-minute demand may increase close to arrival

Those patterns can influence Revenue Management, marketing, cancellation policies, and Rate Plans.

Booking Window and Booking Pace

Booking window asks:

How far ahead was this reservation made?

Booking pace asks:

How quickly are reservations accumulating for a future period?

They describe related but different patterns.

An RMS may use both kinds of information when evaluating future demand.

Analytics Considerations

Useful dimensions might include booking-window groups such as:

  • Same day
  • 1–7 days
  • 8–30 days
  • 31–90 days
  • 90+ days

That can make patterns easier to interpret than examining every possible lead-time value individually.

Common Problems

Common interpretation problems include:

  • Treating average booking window as representative of every segment
  • Mixing cancelled and completed reservations without consideration
  • Ignoring seasonal behaviour
  • Comparing channels with very different audiences
  • Assuming a shorter booking window is automatically bad

How to Improve

Segment booking-window data by relevant Dimensions, such as:

  • Season
  • Room type
  • Channel
  • Rate plan
  • Market segment
  • Length of stay

Then use patterns rather than one average to understand booking behaviour.