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Barbershop No-Show Contribution Loss

Model missed contribution from unfilled no-show appointments.

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Barbershop / appointment economics

Barbershop No-Show Contribution Loss

Your result768 per month

614.4120691.2135768150844.8165921.6180Monthly bookings
Other inputs stay fixed. Point labels show the calculated result in per month; this is a scenario comparison.

Loss = bookings × no-show rate × (1 − refill share) × contribution

What you’ll need

Gather appointment history, service durations and supply costs. Include staff time, supplies, and chair occupancy. The starting figures are examples. Replace them with your own records.

Formula and worked example

Loss = bookings × no-show rate × (1 − refill share) × contribution

Example figures
InputExample
Monthly bookings150
No-show rate8 %
Contribution per attended booking80
Share of missed slots refilled20 %
Calculated result768 per month

Choose reliable inputs

Allow time for preparation, the service itself and cleaning up before the next appointment. For this barbershop calculation, use appointment history, service durations and supply costs and a consistent definition of one appointment.

  • Staff time: include the portion belonging to this appointment or reporting period, and record where the value came from.
  • Supplies: include the portion belonging to this appointment or reporting period, and record where the value came from.
  • Chair occupancy: include the portion belonging to this appointment or reporting period, and record where the value came from.

Use the same currency for every money input. Do not mix weekly costs with monthly revenue, or count the same expense in both an itemised cost and allocated overhead.

Should a no-show loss use the full booking price?

Use contribution after costs that are avoided when the booking is missed, and account for successful slot refilling.

Assumes contribution is lost only on slots not refilled; fee revenue is excluded.

Compare a different assumption

What if this input changes?

If monthly bookings rises by 10%, this example changes by 76.8 per month. This shows the effect of one change; it does not predict what will happen.

Open the calculator, save your baseline, then change the input supported by the least reliable estimate in your records. Compare both scenarios before committing to a price or capacity promise.

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