Glossary

Lead time

Lead time is how far in advance a guest books before their arrival date. It is one of the most reliable signals for adjusting pricing and forecasting demand.

What lead time means

Lead time — also called booking window or advance booking window — is the number of days between the date a booking is made and the guest's arrival date. A booking made 30 days before check-in has a lead time of 30 days.

Lead time is one of the most actionable metrics in vacation rental revenue management because it reveals when guests in your market decide to book. Understanding your typical lead time pattern allows you to price more confidently across your calendar — raising rates when early demand is strong, and adjusting when the window to fill a date is closing.

Why lead time matters for pricing

Different guests book at different times, and their price sensitivity varies accordingly. Early bookers tend to prioritize availability and security over finding the lowest rate. Last-minute bookers are either more opportunistic (looking for deals) or more urgent (willing to pay a premium for scarce availability).

The right pricing response depends on what your market looks like. In high-demand markets during peak season, rates can often be held or increased as the date approaches because demand exceeds supply. In low-demand periods, rates may need to come down as the date gets close to fill remaining gaps.

Short lead time vs long lead time

Short lead time (0–14 days): Guests are booking close to arrival. This is common in urban markets and for last-minute travelers. Short lead times close to full availability may signal pricing is too high earlier in the window. Short lead times with many gaps already filled may indicate an opportunity to hold or raise rates.

Long lead time (30–120+ days): Guests are planning well in advance. This is typical for holiday periods, popular destinations, and group travel. Long-lead bookings arriving early are a positive demand signal — they suggest the dates are attractive at the current price and rates could potentially be raised for remaining availability.

How to use lead time in pricing decisions

  • Track your average lead time by month: knowing your property's historical booking window gives a baseline to compare against current performance
  • Compare against booking pace: if bookings for an upcoming date are arriving later than usual, it may be a signal that rates are too high for that window
  • Adjust rates dynamically: rather than setting a fixed rate and waiting, adjust prices as the arrival date approaches based on how many nights remain open and how demand is trending
  • Don't rely on last-minute discounting: heavy discounts in the final days before arrival often fail to fill the calendar and train guests to wait for lower prices

Related terms

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Questions, answered

Lead time is the number of days between when a guest books and when they arrive. A booking made 45 days before check-in has a lead time of 45 days. It is also called booking window. It is a key pricing signal — longer lead times often reflect confident early demand, while shorter ones indicate last-minute behavior.
Early bookers and last-minute guests have different price sensitivity. Understanding when your guests typically book lets you set the right rate at each point in the booking window — holding rates when early demand is strong and adjusting as the arrival date approaches based on remaining availability.
It varies by market and season. Urban short-term rentals often see lead times of 7–21 days. Leisure destinations and holiday periods can see 60–120 days or more. Knowing your property's typical pattern is more useful than any industry average.
Consistently short lead times can mean prices are too high in the medium-term window, discouraging advance bookings. Check whether upcoming dates have gaps that should have filled earlier, and consider whether a moderate adjustment would improve booking pace rather than waiting for last-minute demand.

Know when guests are booking — and price accordingly

Revz AI tracks lead time and booking pace for each property, adjusting rates automatically as the arrival date approaches.

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