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How much are missed calls putting at risk?

Multiply missed new-customer calls by your booking rate and average booked-job value. This produces an estimate of revenue at risk—not guaranteed recovered revenue—and gives you a useful starting point for auditing the phone path.

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Interactive estimate

Use your own monthly numbers.

Estimated monthly revenue at risk

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Use the transparent formula

Monthly revenue at risk = missed new-customer calls × expected booking rate × average booked-job value. Use numbers from your call log, calendar and invoicing system instead of industry averages.

  • Count only calls likely to be new-customer opportunities.
  • Use your observed call-to-booked-job rate, not a sales target.
  • Use collected revenue per booked job when available, not the largest invoice.

Work through an example

If a business misses 20 relevant calls, normally books 40% of qualified callers and collects an average of $600 per booked job, the estimate is 20 × 0.40 × $600 = $4,800 in monthly revenue at risk. That is a diagnostic estimate, not a promise.

Measure the actual leak

Export at least 30 days of call records. Mark each missed call, duplicate, spam call, existing-customer call and genuine new opportunity. Match genuine opportunities to texts, appointments and invoices. The gap between missed opportunities and recovered conversations is the number to improve.

Methodology and limitations

This page intentionally supplies a formula rather than an unsupported industry average. The estimate excludes lead quality, capacity, cancellations, close rate after booking, repeat purchases and margin. Aipple verifies those inputs during the audit before recommending a response system.

Sources and primary records

Questions buyers ask

What counts as a missed call?

For this estimate, count an unanswered new-customer call that did not receive an immediate useful response or enter a reliable recovery workflow.

Should I use revenue or profit?

Revenue is easier to verify from invoices, but profit is better for investment decisions. Run both if you know contribution margin.

Does the calculator prove an AI receptionist will recover the total?

No. It identifies potential exposure. Recovery depends on lead quality, timing, capacity, the call experience and follow-up.

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