Metrics and demand

Cancellation rate

Define the booking cohort and observation date before comparing cancellations.

What it means

Cancellation rate is the share of a defined set of reservations that ended up canceled. The set is a cohort: for example, bookings created during April or bookings scheduled to arrive in June. These answer different questions and can produce different results without either calculation being wrong.

Why it matters

It helps investigate demand quality, policies and the time available to resell. The percentage alone does not measure damage: a cancellation months ahead and one the night before affect the calendar differently.

An example in practice

Illustrative example

A report selects 100 bookings created in April. At the review date, 20 are canceled, giving a 20% rate. The other 80 include future stays. This is a provisional result: if five more cancel later, the same cohort moves to 25%.

The calculation, step by step

20 ÷ 100 × 100 = 20 %

Canceled bookings / bookings in the same cohort, at the observation cutoff.

A mistake to avoid

Dividing cancellations processed this month by bookings created this month mixes populations. Separate cancellations, no-shows and modifications. Moving a stay to another date is not necessarily a new sale or a cancellation.

Put it into practice

  1. State the date basis, included statuses and observation cutoff.
  2. Segment by channel, policy and cancellation lead time.
  3. Also examine affected nights, revenue and recovered inventory.

A common question

Does reselling a canceled stay remove the cancellation?

The original reservation remains canceled. Reselling is a separate observation. Measure inventory recovery separately so you neither hide channel behavior nor overstate lost revenue.

Connected concepts

Continue with a guide

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