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Restaurant Follow-Up Improvement Value

Estimate the contribution change from a conversion improvement scenario.

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Restaurant / cover economics

Restaurant 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 recipe sheets, supplier invoices and stock counts. Include ingredients, service labour, and facility overhead. 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

Track purchased quantities, usable yield, labour and waste before deciding on a selling price. For this restaurant calculation, use recipe sheets, supplier invoices and stock counts and a consistent definition of one cover.

  • Ingredients: include the portion belonging to this cover or reporting period, and record where the value came from.
  • Service labour: include the portion belonging to this cover or reporting period, and record where the value came from.
  • Facility overhead: include the portion belonging to this cover 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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