Salon, spa & fitness
Gym Utilization Calculator
Measures facility utilisation, where peak crowding rather than average use is the problem.
Result
Not all unbilled time is waste. Travel, restocking, training and warranty calls are necessary and will never be zero. The useful question is whether the share is drifting, not whether it reaches 100%.
Get a Free Business AuditHow the calculation works
Attendance against capacity, measured at peak periods as well as on average, with the revenue each period supports. Average utilisation in a gym is low by design, and the operational question is entirely about the peak, since that is when members experience the facility.
What moves the number
- Peak period attendance against capacity.
- Equipment availability at peak.
- Class capacity and booking.
- Off-peak capacity, which is largely unsold.
Where this one goes wrong
A gym comfortable on average figures can be unusable at six in the evening, and that experience drives cancellations regardless of how the average looks, so the peak is the number to manage. Off-peak capacity is the other side: it is largely unsold and off-peak pricing or targeted membership types can monetise it, which is the only way to raise utilisation without worsening the peak.
Before you quote
- Measure peak utilisation, not average.
- Monitor equipment availability at peak specifically.
- Consider off-peak membership types to use idle capacity.
Questions
About this calculator
Why measure peak rather than average utilisation?
Because members experience the gym at peak, and a facility comfortable on average can be unusable at six in the evening. That experience drives cancellations regardless of what the average figure says.
What can be done with off-peak capacity?
Off-peak pricing or targeted membership types, which monetise hours that are currently unsold. It is the only way to raise overall utilisation without worsening the peak, and it suits members whose schedules are flexible.
Is low average utilisation a problem?
It is the model rather than a fault, since members buy access rather than hours. The problem is non-attendance, which predicts churn, and peak crowding, which causes it. Neither shows in the average.
The formula
utilisation = billed hours / paid hours
Put this calculator on your site
Free to embed. Paste this where you want it to appear. It stays up to date automatically because it loads from BDEVY.
Please keep the attribution line. It is the only thing we ask in return.
How to use this calculator
- Paid hours per day. Enter your own figure; the page starts at 8.
- Hours that reach an invoice. Enter your own figure; the page starts at 5.2.
- Stylists. Enter your own figure; the page starts at 8.
- Rate charged per hour ($). Enter your own figure; the page starts at $85.
- Cost per paid hour ($). Wage plus burden.
- Working days per month. Enter your own figure; the page starts at 22.
The result updates as you type, so you can try a figure, see what it does to billable share of the day, and change it back. Nothing you enter is sent anywhere or saved.
A worked example
These are the figures the calculator opens with. Every number in the results column below is produced by the same calculation the page runs, so you can follow it through before putting your own figures in.
What goes in
| Input | Value |
|---|---|
| Paid hours per day | 8 |
| Hours that reach an invoice | 5.2 |
| Stylists | 8 |
| Rate charged per hour | $85 |
| Cost per paid hour | $34 |
| Working days per month | 22 |
What comes out
| Result | Value |
|---|---|
| Billable share of the day main result | 65.0% |
| Unbilled hours per month | 493 |
| Revenue those hours would have carried | $41,888 |
| What the unbilled hours cost in wages | $16,755 |
65.0% of the paid day reaches an invoice. The rest is 493 hours a month, costing $16,755 in wages and carrying $41,888 of revenue that never happened.
How sensitive the answer is
Holding everything else steady and changing only rate charged per hour, this is what happens to billable share of the day. It is worth knowing which of your inputs the answer actually hinges on, and which barely move it.
| Rate charged per hour ($) | Billable share of the day |
|---|---|
| $43 | 65.0% |
| $64 | 65.0% |
| $85 example above | 65.0% |
| $128 | 65.0% |
| $170 | 65.0% |
Every other input is held at the example value while this one changes, which is not how a real job behaves. Treat it as a guide to which number matters most, not as five separate quotes.
What each figure means
- Paid hours per day
- A number, between 0 and 24, starting at 8.
- Hours that reach an invoice
- A number, between 0 and 24, starting at 5.2.
- Stylists
- A number, between 0 and 500, starting at 8.
- Rate charged per hour ($)
- A money amount, starting at $85.
- Cost per paid hour ($)
- Wage plus burden.
- Working days per month
- A number, between 0 and 31, starting at 22.
What the results tell you
| Result | What it is |
|---|---|
| Billable share of the day | The headline result. A percentage. |
| Unbilled hours per month | A number. |
| Revenue those hours would have carried | A money figure. |
| What the unbilled hours cost in wages | A money figure. |
Estimating is the easy part
The jobs you never hear about cost more than the ones you mis-measure. BDEVY builds the marketing, systems and automation that bring them in.