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Tutoring service Churn Reduction Value

Estimate one-period contribution associated with lower churn.

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Tutoring service / lesson economics

Tutoring service Churn Reduction Value

Your result1,500

1,2004001,3504501,5005001,6505501,800600Starting customer cohort
Other inputs stay fixed. Point labels show the calculated result; this is a scenario comparison.

Additional contribution = starting customers × (old churn − new churn) × contribution

What you’ll need

Gather attendance records, teaching schedules and room costs. Include teacher time, preparation, and scheduling. The starting figures are examples. Replace them with your own records.

Formula and worked example

Additional contribution = starting customers × (old churn − new churn) × contribution

Example figures
InputExample
Starting customer cohort500
Current period churn8 %
Scenario period churn5 %
Next-period contribution per retained customer100
Calculated result1,500

Choose reliable inputs

Connect teaching time, preparation, attendance and room capacity to each lesson or class. For this tutoring service calculation, use attendance records, teaching schedules and room costs and a consistent definition of one lesson.

  • Teacher time: include the portion belonging to this lesson or reporting period, and record where the value came from.
  • Preparation: include the portion belonging to this lesson or reporting period, and record where the value came from.
  • Scheduling: include the portion belonging to this lesson 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.

Can I count lifetime value as immediate cash?

No. This tool uses one-period contribution. Future retained spending should be modeled over its own timing.

Uses a fixed starting cohort and one following contribution period; improvement is not guaranteed.

Compare a different assumption

What if this input changes?

If starting customer cohort rises by 10%, this example changes by 150 . 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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