The booking window (lead time)

Monday morning, 8:30. Coffee beside Daniel, the report in front of him, and Adam walks in. “Daniel, something puzzles me. Our occupancy for next Wednesday is 31%. Two weeks ago — when it was still roughly 24 days out — it was 18%. Is that good or bad now? Should we worry, or wait a bit more?”

Daniel opens another report — at segment level. “Let’s look exactly. The breakdown of the current 31%: corporate 7%, transient business 8%, OTA leisure 13%, direct leisure 3%. The 18% of two weeks ago: corporate 1%, transient business 2%, OTA leisure 12%, direct leisure 3%.”

“And what does that mean?” — Adam steps closer to the screen.

“It means that corporate and transient business (who book 1-7 days out) are coming in right now. The leisure (who book 14-45 days out) already came in earlier — they make up the 16% of the 31, and it barely grows from here. The current 31% is a completely normal trajectory — from the booking-window standpoint. The final for that Wednesday is expected around 70-80%. There’s nothing to worry about. We don’t need to cut the rate now.”

This dialogue is the craft application of the booking window (lead time). Someone who doesn’t understand the booking window flinches at every low occupancy number, and decides to cut rates at the wrong time. Someone who understands it reads the rhythm of guest arrivals, and calmly waits for the right pickup.

The goal of this lesson is to teach you to read that rhythm.

What the booking window is

The booking window (or lead time, advance booking) is the length of time between a booking being made and the actual check-in.

If a guest books a room on March 5th for the night of March 18th-19th, the booking window is 13 days.

That’s it. The basic concept is simple. But its use — that’s more layered. A hotel segment, an event, a season and a channel each show a different booking-window distribution — and this has a direct RM-decision consequence.

What the booking window tells you about the guest

The booking window reveals more about the guest than you’d think. A 30-day booking is a different guest from a 1-day one. Here are a few rules:

Short lead time (0-7 days)

• High price rigidity — they need it now. Price isn’t the main consideration.
• Typical segment: corporate, transient business, walk-in, last-minute leisure.
• Channel: Booking.com (mobile-friendly), own web, phone, walk-in.
• The hotel’s goal: raise the rate — the guest sees few alternatives, their price elasticity is low.

Medium lead time (7-30 days)

• Medium price sensitivity — compares on OTAs, but the time pressure limits the search.
• Typical segment: transient leisure (city break), some corporate.
• Channel: OTA mix, direct.
• The hotel’s goal: balanced pricing — neither raise aggressively nor cut.

Long lead time (30-90 days)

• High price sensitivity — plenty of time to compare, shop around, wait.
• Typical segment: transient leisure, family, occasion (honeymoon, birthday planned ahead).
• Channel: OTA + direct (metasearch is strong here).
• The hotel’s goal: price competitiveness — you can’t be too expensive here, because the guest moves on.

Very long lead time (90+ days)

• Event-driven — a major festival, a Formula 1 weekend, a wedding, a conference.
• Or occasion — honeymoon, family holiday.
• Typical segment: group MICE, group leisure (tour operator), occasion leisure.
• Channel: direct + tour operator + sales team.
• The hotel’s goal: strategic pricing for the event peak — a high ADR is attainable here, because the guest is committed.

How the booking window varies by segment

In lesson 8 (Segments) we already saw the per-segment booking-window table. Here in more detail:

Between the far-left extreme (walk-in) and the far-right extreme (wedding) stretches an 18-24 month range. A revenue manager reads this as a map: if they know how much time is left before check-in for a given day, they know which segment to expect the bookings from.

How it varies by season

The booking window isn’t fixed — it moves both within and across seasons.

Low season → shorter booking window

In low season, guests plan less far ahead — there’s no urgency, few events, a flexible timeframe. In Hotel Peaqplus City’s January, transient leisure’s average lead time is only 18 days (instead of the 28-day annual average). People decide “at the last minute,” if at all.

This means: in January, a 25% occupancy measured 30 days out looks normal — because most arrive in the final ~18 days before check-in (that’s the leisure window then), bringing it up to 65-70%. The low 30-day number is no cause for concern.

High season → longer booking window

In high season (especially for event-peak days), guests book earlier. For a major festival week, even 3-6 months ahead. For Hotel Peaqplus City’s July peak week, leisure’s average lead time is 45-55 days (nearly double the January 18).

Here a 70% occupancy measured 30 days out can already be underperformance — because the bulk of the booking window opened weeks ago, and if we fell behind the competitors then, in the little time left (within 30 days) we won’t catch up.

The two seasons call for different expectations and different RM actions. Without knowing the booking window, you can’t see this.

The booking window as an early-warning system

A seasoned RM uses the booking window as an anti-panic tool. Take three typical worry-situations:

Situation 1: “30 days out, only 20% occupancy”

If low season: relax. The booking window is short here, the remaining majority arrives in the final ~18 days.

If high season: concern. The booking window is long, and if you’re at only 20% 30 days out, it’ll be hard to lift in the time left.

Situation 2: “60 days out, 45% — last year at this point it was 30%”

If leisure-strong, normal season: a positive sign. Bookings are coming earlier, the final may be better.

If for an event peak: careful. The event may not yet be in the market’s awareness — and the pickup won’t accelerate this much.

Situation 3: “7 days out, still only 50%”

If a corporate-strong hotel: relax. Corporate comes in within 1-5 days — another 3 days and it could be at 80%.

If a pure leisure hotel (no corporate segment): concern. The leisure booking window has already closed — what comes in now is walk-in and last-minute, and it’ll be little.

The booking window helps you understand what you should be seeing in the current state relative to the target — it doesn’t lead to an abstract “we should be full” feeling.

The relationship between pace and the booking window

Pace (booking pace) is closely tied to the booking window: pace shows how occupancy-building is progressing over time, relative to the “ideal.” We cover it in detail in lesson 17, but the basis is that for a specific day:

• We look at the current occupancy (say: 30 days before check-in, 45%).
• We compare it to the same “point” last year (last year 30 days out it was 40% → this year 5% ahead).
• And to the typical pace curve (the hotel’s average pace track for this kind of season).

This is a segment-level time map that shows how much we still need to pick up, and how much time there is for it.

How Daniel uses the booking window

An average Monday-morning Daniel routine:

1. Opens the next-90-days pickup report — what the occupancy is for each day, and how it changed over the last 7 days.
2. Reads it in a segment breakdown — corporate’s window is short (1-5 days), leisure’s window longer (14-45 days). A day that’s at only 30% 21 days out, but where pickup can still come from the leisure segment — that isn’t worrying.
3. Pays special attention to the event-calibrated days — a New Year’s Eve, a festival Friday, a conference Wednesday. On these the booking window is different (longer), and an early booking has a different value.
4. Evaluates the short-window segments’ pickup separately — corporate “arrives 1-5 days out,” so the 7-15 day pace isn’t sensitive to it. But if pickup is weak on the midweek days, now is when to look, because these are the last moments to lure corporate in.
5. The long-window segments’ pickup gives fast feedback — if the tour operator contracts (4-6 month window) are coming in at a slower pace than last year, now is when to intervene, because in 4 months there’s no time left to fix it.

For Daniel the booking window is a calendar: he reads every date by its own booking-window segment and pace track, not by an abstract “full vs. empty” yardstick.

Back to Adam’s concern

Adam’s Monday-morning concern was that the 31% occupancy for next Wednesday looks low. Now you see why Daniel gave a reassuring answer:

• Next Wednesday = roughly 10 days ahead of us.
• In the 10-day window, the corporate and transient business segments are coming in right now (their own booking window is 1-7 days).
• The leisure segment already arrived earlier (14-45 days out) — they make up the larger part of the current 31%, and barely grow from here.
• Expected pickup over the next 10 days: corporate + transient business brings in +30-40 percentage points, walk-in +5-10 percentage points. Final: 70-80% is likely.
• Last year, with the same booking window, the hotel was at 28% 10 days out. This year at 31% — a +3 percentage-point advantage.

Daniel isn’t worried, and doesn’t cut the rate. A rate cut at this point is lost money — the corporate segment that will come will pay the standard rate anyway, because they’re not a price-sensitive segment.

Adam nods, reassured, and turns back to his bank meeting. This is the work of the booking window.

Key takeaways

• The booking window (lead time) is the length of time between a booking being made and check-in. It differs dramatically by segment, by season, by channel.
• Short lead time = high price rigidity, long lead time = high price sensitivity. The guest’s time position determines how much they’re willing to pay.
• The booking window is an anti-panic tool — a low occupancy 30 days out isn’t necessarily a problem if the hotel’s segment mix is built on short-lead-time guests.
• It moves within the season too: in low season the booking window is shorter (less planning), in high season longer (event-driven advance booking).
• We read the booking window with knowledge of pace and the segment mix — not by an abstract “we should be full” yardstick.