Data
What a missed call actually costs, worked out on your own numbers
A missed call costs the probability that it carried buying intent, multiplied by the probability that intent would have converted, multiplied by what the resulting job is worth. The first of those three is measurable and we publish ours: across 340 calls at one clinic location in one month, 187 carried booking intent, 55%. The second and third are specific to your business, and any figure claiming to price a missed call across an industry has invented them. This page computes what can be computed and hands you the rest with the arithmetic shown.
The booking-intent share below is measured from real transcripts on lines we run, which is the input nobody else in this category publishes. Bring your own close rate and average ticket and the model finishes in a minute, with an answer about your phone rather than an industry benchmark.
What do our own call logs actually show?
Measured findings from businesses running on AnswerAI, each with the window and scope it covers. Read them as what one real line did, and compare them against your own.
- 55% of calls carried booking intent: 187 of 340 calls, at one clinic location over one month.Measured, first-party: Med-spa & medical aesthetics. Scope ledger on /results/sucre.
- 86% of calls came from first-time callers: 69 of 80 calls, at one trade over 15 weeks.Measured, first-party: Landscaping, snow & lawn care. Scope ledger on /results/lammer.
- 76 seconds is the average length of a call that establishes a job and books a visit.Measured, first-party. Scope ledger on /results/lammer.
- 2,396+ calls handled across every business running on AnswerAI.Calls handled across every business running on AnswerAI
How do you cost a missed call?
Four numbers. We supply the one nobody else measures; the other three are already in your own records, which is what makes the answer about your business rather than an industry average.
A model: every input named, and where each one comes from
- Calls that arrive and are not answeredFrom your logExport call records and bucket them by hour, reading the unanswered series separately; the method is on /after-hours-answering-service and takes about an hour. This is the term AnswerAI is built to drive to zero.
- Share of calls carrying booking intent55%MEASURED, first-party: 187 of 340 calls at one clinic location in one month. Your share will differ by trade: a clinic's callers mostly want appointments; a law firm's mostly want to know whether they have a case.
- Share of that intent you normally closeYour close rateFrom your own books, and most owners can estimate it within a few points without looking. Use yours rather than an industry average: close rate is the term most sensitive to how a call was handled, so a borrowed one quietly decides the answer before you start.
- Value of the resulting jobYour average ticketOn your own invoices. Take the median rather than the mean if your work runs from a callout to a full install; the two are usually far apart, and the mean describes no actual job.
- The cost of a missed call, for youunanswered × intent × close × valueFour terms, two of them above and two you already have. It completes on the back of an envelope in under a minute, and the answer describes your business rather than an industry.
- What AnswerAI changes in that lineThe first termEvery call answered, including up to twenty at once, for one flat monthly fee. The other three terms belong to your business and stay exactly where they are, which is why this model is worth running before you talk to anybody, including us.
Worked with the input we can supply: at 55% booking intent, every hundred unanswered calls contains roughly 55 people who were reaching for their calendar. Multiply that by your own close rate and your own average ticket and you have the number, and it is usually the one that settles the decision, because it is finally about your phone rather than somebody's benchmark.
Why work it out yourself instead of taking a published figure?
Because the figures circulating for this are built from two invented inputs, and a number built on invented inputs is not a smaller version of the truth; it is a different kind of object. Ninety seconds with your own close rate and average ticket beats any of them.
The standard construction goes: take an industry-average job value, multiply by an industry-average close rate, multiply by an industry-average missed-call rate, publish the product as what a missed call costs. Each of the three averages is drawn from a different study population, none of them is your business, and the errors multiply rather than cancel. The result looks like evidence and behaves like a slogan.
The specific problem with averaging job value is that these distributions are not normal. A trade's calls include a $180 callout and a $14,000 install; a clinic's include a consultation and a course of treatment. An average across that distribution describes no actual job, and multiplying it by anything produces a number with no referent.
The specific problem with close rate is that it is the number a business is least likely to know accurately about itself, and the one most sensitive to how a call was handled, which is the variable under discussion. Using a close rate measured on answered calls to price unanswered ones assumes the two populations are the same, and the first-time-caller data says they are frequently not.
What survives that scrutiny is the intent share, which is why we publish it and lead with it. It is a direct count from real transcripts: 187 of 340 callers wanted to book something. It requires no assumption about value, no assumption about conversion, and it is the input this category never measures because measuring it requires reading the calls.
The per-industry models
Each industry page carries its own cost model with its own sourced inputs, because the shape of a missed call differs enormously by trade. This page holds the method; those hold the specifics.
Dental clinics
Where the value sits in a course of treatment rather than a single appointment, and the missed call is frequently a new patient.
Real estate
Speed to lead dominates everything else: the cost of a missed call here is largely a cost of being second.
Event and wedding venues
Very few enquiries, each worth a great deal, arriving in a compressed booking season.
Auto repair and collision
Where the caller has a vehicle they cannot use and will ring the next number within minutes.
Landscaping and snow
The seasonal case, and the one this page's 86% first-time-caller figure comes from.
Every industry
Twelve verticals, each carrying an asset (a model, an annotated call, or a named client) that exists on no other page.
Fifty-five per cent of the calls to one clinic were people reaching for their calendar. AnswerAI answers all of them, which is the only term in the missed-call equation any vendor can honestly claim to move.
The one input we can give you is the intent share. The one you need is how many calls went unanswered, and that is an hour's work on your own call records.
Start free pilotQuestions about costing a missed call
It is the number of unanswered calls multiplied by the share carrying buying intent, the share that would have converted, and the value of the resulting job. We publish a measured intent share (55%, from 340 calls at one clinic location) and the other two come from your own books, because they are specific to your business. Any single dollar figure offered for this across an industry has invented at least two of the four inputs.
55% in the clearest first-party measurement we have: 187 of 340 calls at one med-spa & medical aesthetics location over one month. That is a count from real transcripts rather than an estimate. It will differ by trade: a clinic's callers mostly want appointments, while a law firm's mostly want to know whether they have a case at all.
Export your call detail records for a period long enough to cover a full seasonal cycle, bucket them by hour of day and weekday, and plot answered against unanswered as two separate series. The unanswered series is the one that carries the finding and the one most provider reports hide by default. It takes about an hour.
Your own, every time. Close rate is the term most sensitive to how a call was handled, which is the variable under discussion; using an industry average here would quietly decide the answer before you started. It is also the number you are most likely to already know within a few points, so the model completes faster with yours than with anybody else's.
Not when the figure is a product of two guesses, because the errors multiply rather than cancel. It is also worse than none strategically: a made-up number is the thing a prospect checks, and being caught on it costs more than the page ever earned. The intent share is real, and it is usually the figure that actually moves the conversation.
Find out how many of yours were reaching for a calendar.
The pilot runs about 14 days with no call limit, and every call is transcribed. At the end of it you have your own intent share, measured on your own callers, rather than anybody's average.
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