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Real estate agency Error Prevention Break-Even

Find how many costly mistakes a control needs to prevent.

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Real estate agency / completed sale economics

Real estate agency Error Prevention Break-Even

Your result4 errors per month

44004450450055505600Monthly prevention cost
Other inputs stay fixed. Point labels show the calculated result in errors per month; this is a scenario comparison.

Errors to prevent = ceiling(prevention cost / cost per error)

What you’ll need

Gather time sheets, engagement scopes and invoice ageing. Include marketing, agent time, and transaction support. The starting figures are examples. Replace them with your own records.

Formula and worked example

Errors to prevent = ceiling(prevention cost / cost per error)

Example figures
InputExample
Monthly prevention cost500
Fully assigned cost per avoidable error125
Calculated result4 errors per month

Choose reliable inputs

Account for delivery time, review work and when you expect to be paid for each engagement. For this real estate agency calculation, use time sheets, engagement scopes and invoice ageing and a consistent definition of one completed sale.

  • Marketing: include the portion belonging to this completed sale or reporting period, and record where the value came from.
  • Agent time: include the portion belonging to this completed sale or reporting period, and record where the value came from.
  • Transaction support: include the portion belonging to this completed sale 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.

How many errors must quality control prevent to pay?

Use avoidable cash or capacity costs. Do not count theoretical opportunity revenue as collected revenue.

Compare a different assumption

What if this input changes?

If monthly prevention cost rises by 10%, this example changes by 1 errors 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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