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Web design Largest Client Revenue Exposure

Measure the share of revenue dependent on one customer.

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Web design / project economics

Web design Largest Client Revenue Exposure

Your result30 %

2414,4002716,2003018,0003319,8003621,600Revenue from largest customer
Other inputs stay fixed. Point labels show the calculated result in %; this is a scenario comparison.

Revenue exposure = largest customer revenue / total revenue × 100

What you’ll need

Gather project time logs, licence invoices and retainer scopes. Include design hours, development, and revisions. The starting figures are examples. Replace them with your own records.

Formula and worked example

Revenue exposure = largest customer revenue / total revenue × 100

Example figures
InputExample
Revenue from largest customer18,000
Total period revenue60,000
Calculated result30 %

Choose reliable inputs

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

  • Design hours: include the portion belonging to this project or reporting period, and record where the value came from.
  • Development: include the portion belonging to this project or reporting period, and record where the value came from.
  • Revisions: include the portion belonging to this project 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.

How much revenue depends on my largest client?

Use the same reporting period. Revenue exposure does not directly measure profit or replacement probability.

Compare a different assumption

What if this input changes?

If revenue from largest customer rises by 10%, this example changes by 3 %. 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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