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Fleet maintenance Customer Retention Rate

Measure retained members of the starting customer cohort.

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Fleet maintenance / maintenance visit economics

Fleet maintenance Customer Retention Rate

Your result90 %

1001809020081.8222075240Active customers at period start
Other inputs stay fixed. Point labels show the calculated result in %; this is a scenario comparison.

Retention = (ending customers − new customers) / starting customers × 100

What you’ll need

Gather repair orders, parts invoices and technician time logs. Include parts, technician hours, and scheduling overhead. The starting figures are examples. Replace them with your own records.

Formula and worked example

Retention = (ending customers − new customers) / starting customers × 100

Example figures
InputExample
Active customers at period start200
Active customers at period end220
New customers during period40
Calculated result90 %

Choose reliable inputs

Separate parts, technician time and bay availability for each repair order. For this fleet maintenance calculation, use repair orders, parts invoices and technician time logs and a consistent definition of one maintenance visit.

  • Parts: include the portion belonging to this maintenance visit or reporting period, and record where the value came from.
  • Technician hours: include the portion belonging to this maintenance visit or reporting period, and record where the value came from.
  • Scheduling overhead: include the portion belonging to this maintenance 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.

Why subtract new customers from the ending count?

New acquisitions can hide losses in the starting cohort. Retention should track existing customers separately.

Assumes consistent active-customer definitions and no reactivations counted separately.

Compare a different assumption

What if this input changes?

If active customers at period start rises by 10%, this example changes by -8.1818 %. 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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