Cancellation, no-show and overbooking
In lesson 10 (The booking window) Daniel said an important, reassuring line to Adam: “the occupancy figure is never ‘money in the bank’.” Now we look deeper at what’s behind the occupancy — because a booking is not the same as an arriving guest. Someone won’t walk up to the 18:00 front desk, and instead a room stays empty.
This “someone doesn’t show up” phenomenon is described by three concepts: cancellation, no-show and overbooking. Each is one face of RM uncertainty, and each demands direct RM decisions.
The goal of this lesson is that you don’t just see these concepts but understand their calculation, their management, and the risk-reward balance behind them.
Cancellation — withdrawing the booking
A cancellation is when a booked guest withdraws the reservation before check-in. Per the terms they may get their money back (a refundable BAR), lose it (non-refundable), or pay a part (e.g. a one-night cancellation fee).
The cancellation rate measures what percentage of all booked room-nights, in a given period, was cancelled:
Cancellation rate = Cancelled room-nights / Total booked room-nights × 100
Hotel Peaqplus City’s November cancellation rate:
| Metric | Value |
|---|---|
| Total booked room-nights (recorded during the month) | 2,100 |
| Cancelled room-nights | 278 |
| Cancellation rate | 13.2% |
The 13.2% is good by international standards — just below the bottom of the 4-star city band, so Hotel Peaqplus City’s cancellation risk is relatively well-controlled. A few typical industry figures:
| Hotel type | Typical cancellation rate |
|---|---|
| Budget hotel | 8-12% |
| 3-star city | 12-18% |
| 4-star city | 14-22% |
| Luxury / 5-star | 18-28% |
| Resort / spa | 10-16% |
Luxury hotels have a higher cancellation rate because the BAR is more flexible and guests know they won’t lose money. Budget hotels are lower, because guests show up anyway once they’ve booked (or are on a non-refundable rate).
Channel-level cancellation differences
The cancellation rate differs dramatically by channel. Hotel Peaqplus City:
| Channel | Cancellation rate |
|---|---|
| Booking.com (BAR) | 18% |
| Booking.com (non-refundable) | 5% |
| Expedia | 16% |
| Direct (own web) | 9% |
| Corporate | 3% |
| Group (group contract) | 2% (headline), but 15-25% via the “washing factor” |
Two important observations:
- Booking.com on BAR is 18% — the highest, because Booking offers an easy cancellation policy, and guests book several hotels “as insurance.”
- Non-refundable at 5% — drastically lower, because the guest loses money.
That’s why in lesson 7 (Rate parity and rate fences) one primary purpose of the non-refundable rate is reducing cancellation risk — the hotel squeezes the expected 18% cancellation down to 5%, in exchange for a 15-20% discount.
No-show — the guest who never arrives
A no-show is a booking the guest didn’t cancel but also didn’t arrive for. The booking is live, the room is reserved — the guest simply doesn’t show up.
The no-show rate:
No-show rate = No-show bookings / Booked arrivals for the day × 100
Hotel Peaqplus City’s November no-show rate:
| Metric | Value |
|---|---|
| Booked arrivals during the month | 805 bookings |
| Actual arrivals | 761 bookings |
| No-shows | 44 |
| No-show rate | 5.5% |
The no-show rate is lower than the cancellation rate, because many cancel in advance (a cancellation), and only a smaller share physically forget or change at the last minute.
The no-show’s key difference from a cancellation: here the booking is already paid (or the card is mandatorily held), but the room is reserved, which clogs capacity. A no-show booking:
- Recovers money (a cancellation fee, or the one-night charge on BAR, or the full non-refundable amount).
- But the room is “booked” until 18:00, by which point you can’t sell it to a walk-in.
That multi-hour unsellable window is the no-show’s hidden cost.
Managing cancellation and no-show strategically
A mature RM organization doesn’t treat cancellation/no-show as random — it manages them proactively. A few concrete tools:
1. Activating the non-refundable rate
In lesson 7 we saw: at BAR × 0.80-0.85 the booking is non-refundable. The lower price is offset by the lower cancellation rate (5% vs. 18%). The non-refundable rate is especially worth it on days where the cancellation risk is naturally high — e.g. Saturday nights, where the booking window is long.
2. Requesting a guarantee
On larger bookings the hotel can require a guarantee — a card hold or deposit. This also reduces no-shows, because not arriving costs the guest financially.
3. Confirming the booking before check-in
Many hotels send an email 2-3 days before check-in — “we’re glad to see you the day after tomorrow.” This serves a double purpose: (a) it reduces no-shows, because the guest remembers, and (b) it gives room to amend, which is handled more gracefully on the hotel’s side than a last-minute surprise.
4. Tightening the booking policy
If the cancellation rate is anomalously high, the hotel can consider tightening the cancellation policy: e.g. a cancellation fee within 48 hours, or making the non-refundable rate the default on certain dates. It’s a balance: too strict a policy = lost bookings (the guest moves on to another hotel); too loose a policy = a high cancellation rate.
Overbooking — the “over-selling” strategy
Overbooking is when the hotel accepts more bookings than it has capacity for — on the calculation that, thanks to cancellation and no-show, not everyone will arrive anyway.
A concrete example: Hotel Peaqplus City for Saturday night, November 25. 80-room capacity. The average expected cancellation + no-show is 18% (13% cancellation + 5% no-show). If it accepts 97 bookings (80 × 1.21), the expected arrivals:
- 97 bookings × 0.82 (= 1 − 0.18) = 79.5 arrivals
So 97 bookings = ~80 arrivals = full capacity used. On the books occupancy is 121%, actual ~100%.
The reward of overbooking
If the hotel didn’t overbook:
- 80 bookings × 0.82 = ~66 arrivals
- Occupancy: 82%, 14 rooms stay empty
The overbooking strategy gives +14 arriving room-nights = ~EUR 1,800 in revenue (at the average ADR) for a single Saturday night. Annually, in a city hotel, that’s EUR 80,000-150,000.
The risk of overbooking
Overbooking isn’t free. Sometimes the model miscalculates — cancellation/no-show is smaller than expected — and the hotel accepts more guests than it has rooms. Then comes the walk (sending a guest to another hotel):
- Walk cost: the hotel pays for a room in a competitor hotel for the “displaced” guest, plus transport or an apology (a discount voucher).
- Brand damage: the guest is more likely to leave a bad review and less likely to return.
- Operational stress: the front-desk team handles this in a stressful situation.
An average walk cost in the region is EUR 180-280 per guest. If the model is poorly calibrated and causes 3 walks on one Saturday night, that’s EUR 540-840 of immediate cost + the brand-value hit.
Calibrating the overbooking model
A mature RM organization runs a concrete overbooking model — it measures the cancellation + no-show variable at the daily/segment level and fine-tunes the overbooking level. In an 80-room hotel, typical overbooking levels:
| Day of week | Typical overbooking level |
|---|---|
| Monday | 5-8% |
| Tuesday-Thursday | 3-5% (corporate-strong, low cancellation) |
| Friday | 8-12% |
| Saturday | 12-18% (high leisure cancellation) |
| Sunday | 5-8% |
Saturday’s high overbooking level reflects that the leisure segment has a higher cancellation rate (see Booking.com BAR at 18%).
When NOT to overbook
A few classic situations where overbooking is dangerous:
- On event-peak days (a festival, a major concert) — here everyone shows up, cancellation is low, and overbooking causes an immediate walk.
- On high-paying segment-peak days — here a walk is more dramatic brand damage, because the guest paid more.
- For VIP or returning guests — you never walk a returning guest; it’s lethal to the long-term relationship.
In lesson 39 (Unconstrained vs. constrained demand) we cover building the overbooking model more finely.
Peaqplus’s role in cancellation management
The Peaqplus Pickup module shows daily-level occupancy change (the “daily pickup” introduced in lesson 16). Negative pickup — when occupancy falls day over day — is a direct signal of cancellations.
Hotel Peaqplus City’s pickup board for November 25, over a short window:
| Days to check-in | OTB occupancy | Daily pickup | What it says |
|---|---|---|---|
| 14 | 58% | +2 rooms | Normal pace |
| 13 | 59% | +1 | Normal pace |
| 12 | 58% | −1 | 1 cancellation |
| 11 | 62% | +3 | Normal pace + new bookings |
| 10 | 60% | −2 | 2 cancellations |
| 9 | 63% | +2 | Mixed |
The negative-pickup days (−1, −2, −3) are computed and shown by Peaqplus — but the concrete cancellation rate or no-show rate comes from the PMS (SabeeApp or another). Peaqplus warns at the occupancy-trend level; the PMS gives the concrete numbers.
This is an important clarification: cancellation/no-show measurement is a PMS-level function, and Peaqplus sees the effect in the pace trend. An RM uses both systems:
- PMS (SabeeApp): cancellation rate, no-show rate, channel-level breakdown.
- Peaqplus: the daily pickup board, where negative pickup is the “cancellation signal.”
The overbooking strategy is also a PMS-level decision — the hotel sets the booking limit in the PMS (e.g. 97 rooms for a Saturday night). Peaqplus helps interpret it along the occupancy trend and pace curve, but setting the concrete overbooking level is a decision between the PMS and the RM.
Key takeaways
- The cancellation rate and the no-show rate are the two main measures of booking uncertainty. In a 4-star city hotel they’re typically 14-22% and 4-7%.
- The cancellation rate differs dramatically by channel and by rate plan — Booking.com BAR at 18%, the non-refundable rate at 5%.
- The non-refundable rate is the most important lever for reducing cancellation risk.
- Overbooking is deliberate over-selling — extra revenue, but with the risk of a walk cost. Typical levels are 5-18%, depending on the day of week and the segment.
- The PMS measures cancellation/no-show, and the RMS (Peaqplus) sees the effect in the pace trend as negative pickup. The two systems combined give the full picture.
Click an answer — you see immediately whether it is right.
Answer all of them and the lesson counts as complete — and toward your progress.
Bookings to accept = capacity / (1 − attrition). Revenue recovered = the rooms attrition would empty but you backfilled × ADR. Walk headroom = how many walks the reward absorbs.
See the full definitions in the glossary.
A hotel's November cancellation rate is 22% — on Booking.com BAR it's 28%, on direct 12%, on the non-refundable rate 4%. What 3 strategic actions would you propose to bring the 22% average down? And: Hotel Peaqplus City applies a 12% overbooking level for Saturday nights, but on one Saturday all 89 bookings arrive (9 more than the 80-room capacity). What do you do, and what factors do you weigh in the 'who do we walk' decision?
- European city-centre 4-star hotels run an average no-show rate of 4-7%. The big international chain brands set their overbooking level algorithmically, recalibrated daily — an independent hotel typically revises its overbooking model monthly.