AI Receptionist ROI Calculator
Build a labeled scenario from your own call data. Compare labor value, missed-call value, and current plan cost without relying on generic benchmarks.
Labor value
Time spent on calls × hourly rate × your selected coverage.
Recovered-call value
Your missed-call, recovery, conversion, and customer-value assumptions.
Net annual outcome
Gross monthly value × 12 − the current annual plan cost.
Scenario inputs
These values are your assumptions, not industry benchmarks or SkipCalls performance estimates.
My scenario
Planning aid only — compare this scenario with your own records and current plan terms.
Gross monthly value = labor hours × hourly rate × selected call coverage + missed calls × selected recovery × conversion rate × customer value.
Net annual outcome = gross monthly value × 12 − annual plan cost. Break-even is shown only when gross monthly value is above zero.
Build a scenario you can audit
This tool does not use an industry-average return. Name the scenario, enter your own inputs, and change the two coverage assumptions to compare a cautious and an optimistic case.
Formula
Gross monthly value =
labor hours × hourly rate × selected call coverage
+ missed calls × selected recovery × conversion rate × customer value
Net annual outcome = gross monthly value × 12 - annual plan cost
Break-even months = annual plan cost ÷ gross monthly valueA positive scenario is not a guarantee. Use the result as a decision aid, check current plan terms on the pricing page, and compare it with your actual call records.
Read the net annual outcome as a difference between your estimated monthly labor and recovered-call value and the current yearly plan cost. If that total is below zero, the scenario does not cover the plan cost under the assumptions you entered. Change one assumption at a time to see which inputs drive the result.
What affects the model?
- Call volume and average duration affect the modeled labor value.
- Missed-call, recovery, conversion, and customer-value inputs affect the modeled recovered value.
- Coverage is an explicit assumption, so you can test different operating cases.