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Photography Customer Retention Rate

Measure retained members of the starting customer cohort.

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Photography / session economics

Photography 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 production schedules, vendor quotes and editing logs. Include shoot time, editing, and equipment 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

Include preparation, delivery and post-production rather than shoot or event time alone. For this photography calculation, use production schedules, vendor quotes and editing logs and a consistent definition of one session.

  • Shoot time: include the portion belonging to this session or reporting period, and record where the value came from.
  • Editing: include the portion belonging to this session or reporting period, and record where the value came from.
  • Equipment overhead: include the portion belonging to this session 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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