The True Cost of a Missed Call for Local Businesses
The True Cost of a Missed Call for Local Businesses
There is a statistic for this. Several, in fact, and every business selling call-handling software has a favourite one.
Ignore all of them. They describe someone else's business, in another country, in another year, with a different average job value. Quoting one at yourself tells you nothing you can act on.
The useful number is knowable, and it is sitting in your own phone records. It takes about half an hour to work out, and the process is more revealing than the answer.
Start with what actually happened, not what you assume
Pull the last ninety days of call logs. Most phone systems export this; if yours does not, the handset history will do.
Filter to calls that were not answered. Then -- and this is the step people skip -- go through them and mark each one:
- Repeat caller. They rang again within a day or two, or you rang back and connected. No loss.
- Existing client. Different problem, and worth knowing about, but not a lost sale.
- Not a customer. Suppliers, spam, wrong numbers.
- Unknown, never connected. A number that rang once, was not answered, and never appeared again.
That last group is the only one that matters here. Everything else resolved itself.
Most owners are surprised twice during this exercise. First by how large the unanswered total is. Then by how much smaller the genuinely-lost group is once the repeats are stripped out. Both surprises are useful, and neither survives an industry statistic.
The five inputs
You now need four more numbers, and you already have all of them.
One: the never-connected count. From the sort above.
Two: your enquiry-to-client rate. Of the people who do reach you, what share become clients? If you have never measured it, take the last thirty enquiries and count. Do not estimate this one -- estimates here are always flattering.
Three: your average job value. What a typical first job is worth, not your best one.
Four: repeat value. Does a client come back? If a typical client buys twice more over a couple of years, the real value of winning one is higher than the first job.
Five: the honesty adjustment. Not every never-connected caller was ready to buy. Some were price-checking, some found someone else within the hour, some were never going to be a fit. Pick a fraction you actually believe -- and pick it before you see the answer, so the number is not reverse-engineered into something comfortable.
The calculation is then simple: never-connected callers, multiplied by your conversion rate, multiplied by the full client value, multiplied by your honesty fraction. That is the ninety-day figure. Multiply by four for the year.
Why doing it this way matters
The number you get will be less dramatic than the ones in the adverts. That is the point.
A figure you built from your own records is a figure you will act on, because you cannot argue with it. You know where every input came from. When it turns out to be meaningful -- and for most call-driven businesses it is -- the response is not scepticism. It is right, what do we do about the mornings?
A borrowed statistic gets a shrug, because on some level everyone knows it is marketing.
The number is only the smaller half
Here is the thing the arithmetic cannot capture, and it is why this article links to another one.
A missed call is not really the loss. The loss is what did not happen next. A call that rang out and got a text back within a minute is often not lost at all. A call that rang out and vanished into nothing is lost twice over -- once because nobody answered, and again because nobody has any record that a person tried to reach you.
That second part does not appear in any of the five inputs above. The missed call was never the expensive part -- the absence of a recorded ending is.
Which also explains why this cost is invisible in your reporting. The report stops too early: it counts the enquiries that arrived, and a call that rang out never became an enquiry at all. The best months and the worst months look identical from the dashboard.
What the exercise usually surfaces
Owners who do this tend to find a pattern rather than a random scatter.
The never-connected calls cluster. Early morning before anyone is in. The middle of the afternoon when everyone is on site. Fridays. The hour when the one person who answers the phone takes lunch.
That is more actionable than the money figure, because a cluster has a cause and a cause has a fix. It is rarely "we need to answer more calls" -- that is not a plan. It is "nothing covers 8 to 9am, and that is a fifth of them."
Getting that cover in place without hiring someone to sit by a phone is the work Bizi runs for owners.
Do the half hour
Export ninety days. Sort into the four groups. Count the never-connected ones and note what time of day they came in.
Then apply your own conversion rate, your own job value, and a fraction you believe.
Whatever number comes out, you will trust it -- and the clustering you find on the way will tell you what to do about it.
Stop missing out on leads.
Let Bizi handle your follow-ups, missed calls, and appointment booking automatically.
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