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Restoration service: Can I multiply rates from different customer cohorts?

Combine explicit funnel-stage assumptions into expected sales.

Cobalt ribbon, chrome ring and orange sphere in architectural light
Restoration service / restoration job economics
Answer

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

Try this with your own numbers

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

Plan materials, travel and crew time before committing to a price. For this restoration service calculation, use a completed job sheet, supplier quotes and a crew schedule and a consistent definition of one restoration job.

  • Equipment rental: include the portion belonging to this restoration job or reporting period, and record where the value came from.
  • Monitoring: include the portion belonging to this restoration job or reporting period, and record where the value came from.
  • Crew time: include the portion belonging to this restoration job 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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