AI Receptionist ROI Calculator

1. Pull your real monthly call volume from your phone system, VoIP dashboard, or Google Business Profile call history.
2. Find how many of those calls were missed, unanswered, or went to voicemail without a call-back, and enter that as a percentage.
3. Enter the average value of a booked job. Use gross profit instead of revenue if you want a conservative view.
4. Enter the close rate you achieve on calls that turn into genuine sales conversations.
5. Open Advanced assumptions and change the recovery rate to something your own call data supports, then compare the result at a few different rates.

• Missed calls per month = monthly calls × missed-call percentage. If you take 200 calls and miss 20%, that is 40 calls.
• Potentially recovered calls = missed calls × recovery assumption (default 70%). This assumes an automated answering system picks up most, but not all, of the calls your team currently misses.
• Potential recovered qualified opportunities = recovered calls × close rate. This converts answered calls into likely booked work.
• Estimated recovered revenue = qualified opportunities × average job value.
• Estimated monthly ROI = (estimated recovered revenue − monthly cost) ÷ monthly cost × 100. It compares modelled revenue against the subscription cost, not against your total cost of doing the work.
• Estimated annual recovered revenue = monthly recovered revenue × 12, which assumes a flat twelve-month year with no seasonality.

• Seasonality. Most service businesses have peak and slow months; the annual figure simply multiplies one month by twelve.
• Lead quality. Recovered calls are not all buyers. Spam, vendors, and job applicants all ring the same number.
• Duplicate calls. The same person calling three times counts as three calls in most phone reports but is one opportunity.
• Existing staff coverage. If someone already returns voicemails reliably, part of the modelled recovery is revenue you would have captured anyway.
• Customer lifetime value. Average job value ignores repeat work and referrals, which can make the model conservative.
• Cancellations and no-shows. A booked job is not always a completed, paid job.
• Attribution uncertainty. It is genuinely hard to prove that a specific recovered call would otherwise have been lost.

If you want to look specifically at the cost side of unanswered calls, use the missed call revenue calculator. For Houston businesses comparing local coverage options, our Houston virtual receptionist page explains how calls are routed locally, and our pricing page lists the real monthly figures you can plug into the cost field above.

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