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Managed IT service Contribution Lifetime Value

Estimate steady-state contribution lifetime value under constant churn.

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Managed IT service / client month economics

Managed IT service Contribution Lifetime Value

Your result1,200 per customer

960961,0801081,2001201,3201321,440144Monthly revenue per active customer
Other inputs stay fixed. Point labels show the calculated result in per customer; this is a scenario comparison.

Approximate LTV = monthly revenue × contribution margin / monthly churn rate

What you’ll need

Gather project time logs, licence invoices and retainer scopes. Include licenses, support labour, and monitoring. The starting figures are examples. Replace them with your own records.

Formula and worked example

Approximate LTV = monthly revenue × contribution margin / monthly churn rate

Example figures
InputExample
Monthly revenue per active customer120
Contribution margin50 %
Monthly customer churn5 %
Calculated result1,200 per customer

Choose reliable inputs

Include software licences, delivery time, revisions and ongoing support when costing a project. For this managed it service calculation, use project time logs, licence invoices and retainer scopes and a consistent definition of one client month.

  • Licenses: include the portion belonging to this client month or reporting period, and record where the value came from.
  • Support labour: include the portion belonging to this client month or reporting period, and record where the value came from.
  • Monitoring: include the portion belonging to this client month 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.

When does this lifetime-value shortcut mislead?

Small or changing cohorts, zero churn, changing spend, and seasonal retention can make the constant-rate estimate unreliable.

This simplified geometric model excludes discounting, acquisition cost, and changing cohorts.

Compare a different assumption

What if this input changes?

If monthly revenue per active customer rises by 10%, this example changes by 120 per customer. 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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