Free tool · local calculation

Test a change.
See its potential effect.

Estimate the potential effect of better occupancy, fewer no-shows or a more effective waitlist. The result remains an estimate based on your assumptions, not a promise.

01

Describe

Your capacity and current rates.

02

Test

One lever and its target.

03

Interpret

Impact, formula, assumptions and limitations.

Public impact calculator

Turn your idea into a quantified estimate.

Editable fictional data · real calculationCalculated in your browser · no data transmitted
01 · Your situation

Adjust your studio data.

Average number in a month.
Available places per class.
EUR
Revenue that is genuinely additional per attendance. Enter 0 for an unlimited subscription or credits already paid for (neither advertised price nor margin).
Bookings recorded before cancellation.
Bookings removed before the class.
Confirmed no-shows among retained bookings; a missing check-in does not prove a no-show.
Cancelled places already taken up through the waitlist.
02 · Lever to testChoose a decision.
03 · Target

Optimise scheduling

Quick adjustment or exact entry.

Isolated assumption: Cancellations, no-shows and the reallocation rate remain unchanged.

Calculated projection · scenario A

Optimise scheduling
Editable example
Potential additional cash receipts≈ +1 805 €per month · if the lever fully achieves the entered target
Additional attendances≈ +72,2per month
Effective occupancy70,4 → 74,9 %an increase of 4.5 occupancy points
Annualised impact≈ +21 658 €unrounded calculation × 12 · excluding costs
Calculation basis78% → 83% booking rate
Available places
1 600
Bookings
1 248
Cancellations
99,8
Attendances from the waitlist
24
Current attendances
1 126,2
Educational sensitivity analysis

Monthly impact according to the degree to which the lever is achieved.

60 %1 083 €Conservative
80 %1 444 €Central
100 %1 805 €Full effect
Method and assumptions

Monthly capacity = scheduled classes × average capacity.

Current attendances = (retained bookings + cancellations reallocated at the current rate) × (1 − no-show rate).

Projected attendances = (retained bookings at the target rate + cancellations reallocated at the current rate) × (1 − no-show rate).

Financial impact = additional attendances × entered marginal cash receipts.

The sensitivity analysis applies 60%, 80% or 100% achievement to the calculated result. It is neither a statistical interval nor a forecast.

Non-contractual educational result. It is neither a forecast, profit nor ROI. For an unlimited subscription or credits already paid for, marginal cash receipts can be entered as EUR 0.

Optimise scheduling scenario. Approximately 72.2 additional attendances and €1,805 in potential monthly cash receipts, based on the assumptions entered.

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Read the result carefully

An estimate.
Not a guarantee.

This public calculator tests one change at a time. It models neither seasonality, coach constraints, changes in behaviour nor additional costs. It is distinct from the future Manager simulator integrated into GE2studio.

  1. 01
    Conditional

    The result assumes the entered target is actually achieved.

  2. 02
    Marginal

    The amount per attendance must reflect your own model, not merely the advertised class price.

  3. 03
    No margin calculation

    Costs are unavailable; no profitability claim is therefore made.

  4. 04
    To be checked against reality

    A real decision requires context, comparable history and operational constraints.

Questions about the calculation

What the tool does.
And what it does not claim.

Is the data I enter transmitted to GE2studio?+

No. This demonstration's calculation runs in your browser. The simulator does not send the entered values to GE2studio.

Is the result a guaranteed forecast?+

No. It is a conditional arithmetic projection: it shows what would happen if the entered target were achieved and the other parameters remained constant.

Why refer to marginal cash receipts?+

The calculation asks for an amount attributable to one additional attendance. This amount is neither a universal average price nor a margin. It must be adapted to your business model.

Can this tool calculate a margin?+

No. A margin requires actual, attributable cost sources. The public simulator does not invent this data.

From an isolated calculation to real context

Interpret this result
for my studio.

Would you like to discuss it? Describe your needs to request a discussion about your definitions, available data and constraints.

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