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Plumbing service Follow-Up Improvement Value

Estimate the contribution change from a conversion improvement scenario.

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Plumbing service / service visit economics

Plumbing service Follow-Up Improvement Value

Your result1,500 per month

1,100801,300901,5001001,7001101,900120Qualified leads per month
Other inputs stay fixed. Point labels show the calculated result in per month; this is a scenario comparison.

Net change = leads × (new close rate − old close rate) × contribution − extra cost

What you’ll need

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

Formula and worked example

Net change = leads × (new close rate − old close rate) × contribution − extra cost

Example figures
InputExample
Qualified leads per month100
Current close rate20 %
Scenario close rate25 %
Contribution per sale400
Extra monthly follow-up cost500
Calculated result1,500 per month

Choose reliable inputs

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

  • Fittings: include the portion belonging to this service visit or reporting period, and record where the value came from.
  • Access time: include the portion belonging to this service visit or reporting period, and record where the value came from.
  • Travel: include the portion belonging to this service 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 I use percentage points or percentage growth?

Moving from 20% to 25% is a five percentage-point improvement. Apply the difference in rates to the same lead count.

Rate improvement must be measured or explicitly treated as a scenario.

Compare a different assumption

What if this input changes?

If qualified leads per month rises by 10%, this example changes by 200 per month. 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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