Work out what your missed calls are actually costing you

Every company selling call automation opens with a statistic about how many calls small businesses miss. Ignore all of them. The number that matters is yours, and you can calculate it this afternoon from data you already have.

Why vendor statistics are useless here

An industry-wide average for missed calls blends a dental practice with a full-time receptionist and a solo roofer who answers from a ladder. Neither figure describes you. Worse, the averages that circulate in this industry are mostly recycled between marketing pages until nobody can name the original source.

The arithmetic below is not sophisticated. Its value is that every input is yours, so the output is defensible when you use it to justify spending money.

The four numbers you need

Pull these for a single recent month. Pick a normal month, not your busiest and not your slowest.

1. Unanswered inbound calls. From your carrier's call log or your phone system's reporting, not from voicemail count. Voicemail counts are a fraction of missed calls, because most people do not leave one. That gap is the entire point.
2. Answered inbound calls. Same log, same month.
3. Jobs booked from inbound calls. From your invoices or job records. Only jobs that originated with someone phoning you — exclude repeat customers you called, and exclude work that came from a form or a referral you chased.
4. Average value of those jobs. Total revenue from the jobs in point three, divided by the count. Use revenue, not profit, for now.

Two of these take five minutes. The third is the one people skip, and skipping it is what turns this from arithmetic into guesswork.

The calculation

First, work out your booking rate — the share of answered calls that turned into work:

booking rate = jobs booked from calls ÷ answered calls

Then apply that rate to the calls nobody picked up:

monthly cost = unanswered calls × booking rate × average job value

That is the whole method. The assumption inside it is that an unanswered call would have converted at the same rate as an answered one, which is conservative in one direction and aggressive in another. Conservative, because a meaningful share of unanswered calls are wrong numbers, suppliers and spam, which never would have booked. Aggressive, because in emergency trades the calls that arrive out of hours often carry higher intent than the ones that arrive at eleven on a Tuesday — someone calling at nine at night has a problem that will not wait.

If you want to be strict, discount the result by the share of your unanswered calls that are junk. Look at twenty of them and count. In most contractor call logs it lands somewhere well under half.

A worked example

Use round numbers so the shape is visible. Suppose a month shows 120 answered calls, 40 unanswered, 30 jobs booked from calls, and those 30 jobs billed $24,000 in total.

• Average job value: $24,000 ÷ 30 = $800
• Booking rate: 30 ÷ 120 = 0.25
• Monthly cost: 40 × 0.25 × $800 = $8,000

Discount that by, say, a third for junk calls and you are still near $5,300 a month. Annualised, it is the kind of figure that reframes what counts as an expensive fix.

Run it with your own four numbers. If the answer comes out small, you have learned something genuinely useful — your phone is not your problem, and you should stop reading about call automation and go look at your lead flow instead.

What the number does not include

Three things, all of which push the true figure higher:

• Lifetime value. A first job for a homeowner is often the start of a decade of calls. The calculation above prices only the first invoice.
• The review you never got. Jobs produce reviews, reviews produce map-pack ranking, ranking produces calls. A missed call removes a link from that chain.
• Paid leads you already bought. If the caller found you through advertising, you paid for that call whether or not you answered it. That spend is wasted twice.

What to do with it

Compare the monthly figure to what a fix would cost, and be honest about which fix. If your unanswered calls are concentrated in working hours, the answer might be a part-time person rather than software. If they cluster in evenings, weekends and during weather events, no human schedule will cover it economically, and that is where automated answering earns its cost.

And if the number is small, do nothing. The most useful outcome of this exercise is the one where it tells you to spend the money somewhere else.