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Window installation Affordable Acquisition Spend

Set a contribution-based ceiling for first-sale acquisition.

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Window installation / installation economics

Window installation Affordable Acquisition Spend

Your result50 per qualified lead

1064030720508007088090960First-sale revenue
Other inputs stay fixed. Point labels show the calculated result in per qualified lead; this is a scenario comparison.

Maximum spend per lead = (revenue − delivery cost − retained contribution) × close rate

What you’ll need

Gather a completed job sheet, supplier quotes and a crew schedule. Include frames, glazing, and fitting time. The starting figures are examples. Replace them with your own records.

Formula and worked example

Maximum spend per lead = (revenue − delivery cost − retained contribution) × close rate

Example figures
InputExample
First-sale revenue800
Variable delivery cost500
Contribution to retain100
Qualified lead close rate25 %
Calculated result50 per qualified lead

Choose reliable inputs

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

  • Frames: include the portion belonging to this installation or reporting period, and record where the value came from.
  • Glazing: include the portion belonging to this installation or reporting period, and record where the value came from.
  • Fitting time: include the portion belonging to this installation 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.

What can I afford to pay for a lead?

A negative ceiling means the required retained contribution already exceeds the sale contribution. Repeat revenue is excluded.

Compare a different assumption

What if this input changes?

If first-sale revenue rises by 10%, this example changes by 20 per qualified lead. 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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