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The cost of a missed call depends on what happened next.

A missed call has no universal dollar value. Measure it by connecting the call record to the caller, recovery attempt, booking, completed job and collected invoice. Anything less should be labeled an estimate.

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Separate calls before assigning value

Remove spam, duplicates, vendors and existing-customer service calls. Then classify genuine prospects by source, service requested, urgency, time of day and whether a useful response arrived.

Use two defensible numbers

Revenue at risk estimates the value of opportunities that may have been lost. Verified lost revenue requires evidence that the caller was qualified, could have been served and did not later convert through another path. Report the first routinely; use the second only when the records support it.

Create a repeatable monthly sample

Use the same definitions and a full calendar month. Publish the collection window, sample size, exclusions and matching method. A larger sample improves stability but does not remove selection bias or prove causation.

Methodology and limitations

Aipple recommends joining call detail records, CRM contacts, appointment outcomes and collected invoices using a privacy-safe identifier. This guide currently presents a method, not a proprietary benchmark: Aipple will not publish a percentage or dollar statistic until the sample, period, definitions and limitations can be disclosed.

Questions buyers ask

What data is needed?

Call detail records, caller outcomes, appointment status and collected invoices for the same period.

Can an industry average replace my records?

No. An average can be context, but your call mix, capacity, booking rate and job value determine the business case.

How often should the measure be updated?

Monthly is useful for operations. Compare equivalent periods and annotate changes to hours, staffing, advertising and capacity.

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