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What are missed calls actually costing your business?Your calls. Your ticket size. Your number.

Missed-call software is often sold with a scary headline about lost revenue. This calculator takes the opposite approach: four inputs, every step visible, and conservative assumptions you can inspect before you decide whether the problem is worth fixing.

A missed call is a symptom. The real question is what happens to that lead next. If nobody owns the callback, the lead is not visible, or follow-up depends on memory, software by itself only moves the drop point. Fix the intake process first, then use a text-back or other recovery tool to support a process that works.

  1. 250 calls x 22% missed 55 missed calls
  2. x 85% who never call back 46.8 callers gone
  3. x 50%, counting only half as real booking intent 23.4 real lost jobs
  4. x $425 average ticket $9,934/mo at stake
  5. recover a third of those jobs (33.3%), rounded to whole jobs 8 recovered jobs
Modeled recoverable revenue
$3,400/month
Based on the assumptions above and 8 recovered jobs per month.
This is an estimate, not a promise. The model discounts the raw missed-call value twice: first for calls that may not represent real booking intent, then again for the share a practical recovery process may actually win back.

If that number is big enough to annoy you, the fix starts with intake, not software. That's what a Business Systems Review looks like.

Want the full report? Your figures, the worked arithmetic, and the first three intake checks to make, formatted to print or save as a PDF. It opens here after you enter your email. Optional. The number above is yours either way.

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How the arithmetic works

No hidden math. Here's the whole chain on the default inputs.

250 calls a month at a 22% miss rate is 55 unanswered calls. Apply the callback assumption and the model leaves 47 callers who did not call back. Multiply that raw number by a $425 average ticket and the gross exposure is roughly $19,900 a month.

That is not the number this calculator reports, because not every inbound call represents a bookable job and no recovery process wins everything back.

The model cuts the number twice. First, it counts only half of the remaining calls as real booking intent. That leaves about 23 modeled lost jobs, or roughly $9,900 in gross monthly opportunity. Second, it assumes only one-third of those jobs are recovered, rounded to whole jobs. Eight jobs at $425 produces a modeled recovery opportunity of about $3,400 a month, or $40,800 a year.

Change any input above and the chain recomputes in front of you. The intent and recovery factors are conservative modeling assumptions, not measured facts about your business.

Where the defaults come from

The 250 calls and $425 average ticket describe a modeled 12-person residential HVAC company used as a consistent example across the site. Replace both with your own numbers.

The miss-rate benchmark is informed by published home-services call data. The other discounts are intentionally conservative modeling assumptions. The callback assumption should not be presented as a direct consequence of voicemail-message data, and the booking-intent assumption should not be presented as something ServiceTitan directly measured among missed callers.

The purpose of the model is not to manufacture a large number. It is to give you a transparent starting point you can replace with actual call logs, booking rates, job values, and follow-up results from your own business.

What the number does and doesn't mean

  • It's revenue, not profit. Every recovered job carries labor, materials, fuel, overhead, and other costs. If you want a gross-profit view, multiply the modeled revenue by your actual gross margin.
  • A callback is not a close. The intent and recovery assumptions approximate that gap. They do not measure it. Your actual callback-to-booking and booking-to-completion rates are better inputs if you track them.
  • Season matters. 250 calls in July isn't 250 calls in February. Run the calculator twice, once on your busy months and once on your slow ones, and budget against the slow one.
  • The model intentionally leaves some upside out.It does not attempt to model lifetime value, replacement work, memberships, referrals, or future jobs. Those may matter, but adding them without your own data would make the estimate less trustworthy, not more.

When a missed-call recovery system actually helps

Sometimes the right answer is to add a recovery tool. The question is whether the intake process underneath it is ready.

A missed-call text-back or similar system is most useful when three things are already true:

  • Someone clearly owns the reply.
  • The lead lands in a shared place where the team can see it.
  • There is a defined next step if the customer responds.

If those pieces are missing, the technology sends a faster message into the same broken process. Fix the ownership and workflow first. Once the process is clear, the software can protect it after hours, during peak demand, or whenever a human genuinely cannot answer.

The important question is not which vendor sends the text fastest. It is what happens after the customer texts back.

Questions operators actually ask about this math

01Isn't a calculator like this rigged to produce a scary number?
Run the math straight through and the default inputs produce almost $20,000 a month. That's the version a sales deck shows you. This one cuts it twice before showing you anything: half the lost callers get written off as people who were never booking, and it assumes you recover only a third of what's left. The headline figure on the defaults is $3,400, not $20,000. The model deliberately discounts the raw exposure before showing the headline number. If your real inputs produce a small result, that is a useful answer too.
02Where do the 22% miss rate and 85% no-callback figures come from?
The miss-rate default uses published industry data as a reference point. The callback percentage is a modeling assumption and should not be described as a directly measured "never call back" rate unless a source supports that exact behavior. Your own phone and CRM data are always better than a benchmark.
03Is the recovered figure profit?
No. It's revenue. A $425 ticket carries labor, parts, fuel, and overhead like every other job you run. If your gross margin is 40%, the default result works out to roughly $1,360 a month in actual margin. The calculator shows revenue because it's the number you can check against your own books fastest, not because it's the biggest number available.
04Do I need software to recover the opportunity?
Not necessarily. Start by making sure every missed call is visible, someone owns the response, and there is a defined follow-up process. A text-back or other recovery tool can then make that process faster and more reliable. Software supports the process; it does not replace it.
05My number came out small. Did I just waste five minutes?
No. A small number may be the most valuable result on the page because it tells you not to spend heavily on the wrong problem. If missed calls are not a meaningful leak, look elsewhere in the operation.

The full seven-part version of this thinking is the free Business Systems Assessment.