- Choose one reporting period, cohort, currency, and unit system before entering values.
- Enter the required figures for Expansion Revenue Estimator. Use revenue from the same existing-customer cohort and exclude new-logo revenue.
- Review the primary result, then inspect the supporting values rather than relying on the headline number alone.
- Change one assumption at a time to compare a conservative, base, and optimistic case.
- Save the input definitions with the result so the calculation can be reproduced later.
Expansion Revenue Estimator
The Expansion Revenue Estimator provides a structured estimate of expansion revenue from the inputs that most directly drive it. It is useful for planning, comparisons, and sensitivity checks when an exact observed value is not yet available.
Calculator inputs
Enter your SaaS metrics to calculate the result.
Use consistent periods and units throughout the calculation. When rates are entered as percentages, convert them to decimals for arithmetic unless the interface performs that conversion automatically.
What the result means
It converts the entered assumptions into a consistent estimate of expansion revenue. The result is most useful for comparison and planning when every input covers the same scope.
Track upgrades, add-ons, and seat growth separately when their economics differ. Recalculate when the underlying inputs change, and use source records rather than memory for material decisions.
If an existing customer cohort starts at $240,000 and expands 12%, expansion revenue is $28,800 and expanded revenue is $268,800.
The example illustrates the mechanics only. Replace every example value with data that reflects the user’s actual period, account, policy, or scenario.
What does the Expansion Revenue Estimator tell me?
It converts the entered assumptions into a consistent estimate of expansion revenue. The result is most useful for comparison and planning when every input covers the same scope.
Which input definitions matter most for this expansion revenue calculation?
Use revenue from the same existing-customer cohort and exclude new-logo revenue. Differences in timing, rounding, attribution, fee schedules, eligibility rules, or data definitions can materially change the answer.
What is the most important limitation of this expansion revenue result?
Track upgrades, add-ons, and seat growth separately when their economics differ. Recalculate when the underlying inputs change, and use source records rather than memory for material decisions.
What is the right way to compare two expansion revenue scenarios?
For a reliable comparison, keep the formula basis—Expansion revenue = Starting customer revenue × Expansion rate—constant, change only the assumption being tested, and record both the absolute and percentage difference.