Missed calls cost a business money in two ways: through lost revenue, when a ready-to-buy caller lands with the next provider on the list, and through staff time tied up by all the calls that are answered but handled by expensive people. The second figure can be calculated exactly, from call volume, average call length and your hourly staff cost. The first can be estimated conservatively. Added together, they produce a sum that in many small businesses runs to several hundred euros a month without ever appearing on an invoice. Loomira is an AI phone assistant for small and mid-size businesses that closes exactly this gap: it answers calls around the clock, handles routine requests itself and captures everything else as a structured message, with EU hosting and GDPR-compliant processing. This article walks through the calculation step by step so you can decide with your own numbers rather than someone else's.
What costs do missed calls actually create?
The cost of a missed call is the sum of two separate items: the revenue lost from prospects who never got through, and the working time that answered calls consume inside the team. Look at only one of the two and you systematically underestimate the problem; add both and you get a defensible lower bound for what reachability is really worth.
The first item is invisible because it never shows up in your calendar. Someone who cannot reach an electrician, a law firm or a restaurant often simply dials the next number in the search results. The second item is inconspicuous because it disguises itself as a normal working day: the many short conversations squeezed between two customer appointments, which in total add up to entire days of work.
How do you calculate the staff time your phone ties up?
You need only three numbers: calls per day on a typical working day, average call length in minutes, and your fully loaded staff cost per hour. For the last figure there is a solid anchor. According to Eurostat, an hour of work cost employers an average of €34.9 across the EU in 2025 and €38.2 in the euro area, wages plus non-wage costs such as employer social contributions. The spread between member states is wide, from €12.0 in Bulgaria to €56.8 in Luxembourg, so use your own figure rather than the average. What matters is that you use the fully loaded cost, not the gross salary; non-wage costs alone made up 24.8 percent of total labor costs in the EU in the same year.
With 22 working days per month:
Minutes per month = calls/day × average length × 22
Hours per month = minutes / 60
Cost per month = hours × hourly cost
An example to check against your own figures: 20 calls a day, 4 minutes on average, €35 per hour. That gives 20 × 4 × 22 = 1,760 minutes, a little over 29 hours a month, and roughly €1,030 in tied-up working time. Even if only half of those conversations could be automated, several hundred euros are at stake every single month. The cost calculator on our pricing page does exactly this calculation for you: three sliders, instant result.
What does a lost call cost in revenue?
Only you know this value, but you can bound it conservatively. Multiply three estimates: the number of missed calls per month, the share of callers with genuine intent to buy, and your average order value. Be deliberately cautious, for instance by assuming that only one in five missed calls was a potential order and that only some of those are lost for good.
Even with assumptions this careful, the order of magnitude becomes visible. With an average order of €300, 30 missed calls a month and the assumption that only two of those orders actually go elsewhere, €600 in lost revenue is on the table, on top of the tied-up working time from the calculation above. The point is not the exact number. The point is that "one missed call, no big deal" is a rule of thumb that is systematically too optimistic.
Why does this hit understaffed businesses hardest?
The obvious fix, putting someone on the phone, fails in many sectors simply because of the labor market. In a Eurobarometer survey published by the European Commission in June 2026, nearly half of European small and mid-size enterprises (46 percent) reported difficulties finding workers with the right skills. Where the people for the core business are already missing, hiring additional staff just to answer the phone is unrealistic, and every hour a skilled worker spends on the phone is an hour missing on site or with a client.
That is why reachability in small businesses is a structural problem, not an organizational one. There is nobody who could take over the calls without being missed somewhere else. So the question is not "who picks up?" but "which calls need to reach a human at all?"
Where does an AI phone assistant fit in?
An AI phone assistant lowers both cost items at once. It answers calls that would otherwise be missed (less lost revenue) and completes recurring requests such as appointments, opening hours and callback requests entirely on its own (less tied-up time). This is no longer a niche experiment: according to Eurostat, 20.0 percent of EU enterprises with ten or more employees used AI technologies in 2025, up from 13.5 percent a year earlier, and analyzing written language and recognizing speech are among the most common uses.
The honest benchmark is not "assistant versus zero cost" but "assistant versus the hours you already spend on the phone today". As soon as the time saved, valued at your real hourly cost, exceeds the subscription, the numbers work. Not every call can be automated; the predictable cases, however, make up a substantial share in many businesses. What an assistant can and cannot do is set out in our overview of the AI phone assistant.
How do you gather your own numbers?
The three inputs to the formula do not have to be guessed. They can be measured with little effort. For call volume, a week of tally marks at reception or a look at the call log of the business phone or your phone system is enough; most systems count answered and missed calls separately. Average call length is in the same log, and if it is not, timing ten conversations gives a usable mean. Your hourly cost is known to whoever does your accounting: gross pay plus employer contributions, divided by hours actually worked.
Only one thing matters: measure a typical week, not the quietest one. If you collect the numbers during the holiday season, you will calculate the problem away and later wonder why reality is more expensive than the forecast.
The blind spot: calls outside business hours
The time calculation above only captures calls that fall within your reachable hours at all. The truly invisible part is the calls in the evening, on weekends or during the lunch break, which nobody answers today and which therefore appear in no statistic. A business that is only reachable during office hours is out of the running precisely when many private customers have time to make a call: after work.
An assistant that answers around the clock makes these calls visible for the first time; even a trial period tells you how many there really are. If you only want to close this gap for now, without changing how calls are answered during the day, the AI answering machine is the leaner entry point: it takes structured messages and delivers them as text instead of holding full conversations.
Conclusion: calculate, don't guess
Missed calls are expensive precisely because their cost appears nowhere. Make it visible, in this order. First calculate the tied-up working time with the formula above, because that number is hard and rests only on your own data. Then add a conservative estimate of lost revenue. Finally, check the blind spot outside business hours, most easily with a limited trial that forwards only those calls.
Decide on the basis of your own figures, not on marketing promises and not on the gut feeling that "they'll call again anyway". Sometimes that is true. It is rarely measured.