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Salon Funnel Sales Forecast

Combine explicit funnel-stage assumptions into expected sales.

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Salon / appointment economics

Salon Funnel Sales Forecast

Your result22.5 expected sales

184,00020.254,50022.55,00024.755,500276,000Relevant visits
Other inputs stay fixed. Point labels show the calculated result in expected sales; this is a scenario comparison.

Sales = visits × enquiry rate × qualified share × close rate

What you’ll need

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

Formula and worked example

Sales = visits × enquiry rate × qualified share × close rate

Example figures
InputExample
Relevant visits5,000
Visit-to-enquiry rate3 %
Qualified share of enquiries60 %
Qualified lead close rate25 %
Calculated result22.5 expected sales

Choose reliable inputs

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

  • Stylist time: include the portion belonging to this appointment or reporting period, and record where the value came from.
  • Consumables: include the portion belonging to this appointment or reporting period, and record where the value came from.
  • Chair overhead: 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.

Can I multiply rates from different customer cohorts?

Only combine aligned cohorts and time windows. Mixing unrelated stages can create a misleading forecast.

Fractional expected sales are averages, not guaranteed individual outcomes.

Compare a different assumption

What if this input changes?

If relevant visits rises by 10%, this example changes by 2.25 expected sales. 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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