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Cleaning service Customer Acquisition Cost

Measure combined sales and marketing cost per new customer.

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Cleaning service / cleaning visit economics

Cleaning service Customer Acquisition Cost

Your result200 per customer

1702,4001852,7002003,0002153,3002303,600Marketing spend
Other inputs stay fixed. Point labels show the calculated result in per customer; this is a scenario comparison.

CAC = (marketing + sales costs) / new customers

What you’ll need

Gather a completed job sheet, supplier quotes and a crew schedule. Include supplies, staffing, and travel. The starting figures are examples. Replace them with your own records.

Formula and worked example

CAC = (marketing + sales costs) / new customers

Example figures
InputExample
Marketing spend3,000
Sales labour and software1,000
New paying customers20
Calculated result200 per customer

Choose reliable inputs

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

  • Supplies: include the portion belonging to this cleaning visit or reporting period, and record where the value came from.
  • Staffing: include the portion belonging to this cleaning visit or reporting period, and record where the value came from.
  • Travel: include the portion belonging to this cleaning visit 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.

Should sales labour be included in acquisition cost?

A media-only cost per acquisition excludes proposal and selling work. Report the included cost categories so comparisons remain meaningful.

Use aligned periods and an explicit definition of new paying customer.

Compare a different assumption

What if this input changes?

If marketing spend rises by 10%, this example changes by 15 per customer. 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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