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Personal training No-Show Contribution Loss

Model missed contribution from unfilled no-show appointments.

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Personal training / session economics

Personal training 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 attendance records, teaching schedules and room costs. Include trainer time, facility cost, and admin work. 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

Connect teaching time, preparation, attendance and room capacity to each lesson or class. For this personal training calculation, use attendance records, teaching schedules and room costs and a consistent definition of one session.

  • Trainer time: include the portion belonging to this session or reporting period, and record where the value came from.
  • Facility cost: include the portion belonging to this session or reporting period, and record where the value came from.
  • Admin work: include the portion belonging to this session 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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