Toolsabout 1 min
How many customer enquiries are you losing?
Calls nobody picks up, messages answered the next day: see how much revenue slips away, stage by stage, and what an assistant answering at once brings back.
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Every month we get enquiries: calls, emails and messages. Of these, % arrive after working hours. We never answer % of them, and the rest we usually answer . Of the rest, % become customers, and the average job or order is €. An assistant could answer % of them on its own: prices, opening hours, order status.
A month, now and with an assistant
Lost enquiries
New customers
An assistant would win back €6,900–14,000 a year
The full report by email
- The full breakdown behind the figure
- What we would do first
- A link to book a call about it
How we count
- 1We count only enquiries that are really lost, never the gap to a perfect five-minute reply.
- 2Unanswered enquiries: some people call or write again, so we count 30 % of them as lost (conservative) to 60 % (likely).
- 3Answered too late: after-hours enquiries not answered by the next morning, and slow daytime replies, lose a share to whoever answers first. Answering the same day: 10–20 % of after-hours and 3–6 % of daytime enquiries; the next day: 15–30 % and 8–15 %; within an hour: 5–10 % and up to 2 %. The scale is ours and deliberately low: the Lead Response Management Study found the odds of qualifying a lead 21 times lower at 30 minutes than at 5.
- 4Revenue lost a year = lost enquiries × the share that become customers × the average job or order × 12, shown from conservative to likely.
- 5An assistant answers every enquiry at once, day and night. It recovers 60 % of the lost ones plus up to 30 % more for the routine share it answers completely; the rest still wait for a person.
- 6Starting figures are our typical values for a company of 10–50 people in your sector. Published missed-call and after-hours figures come from vendors (411 Locals 2016, AnswerConnect 2026), so treat them as indicative and enter your own.
See it working
A beauty salon that takes bookings at night tooThe AI assistant books visits after hours and hands what a person must decide to the front desk.Open the demo
A car service where AI prepares the work order and the client approves by textExtracted fields with confidence, a visible reasoning trace, a lift board that rearranges itself, and an invoice that matches what was approved.Open the demo
An estimate from the client's message and sketchYour price list, your margin and the supplier order all come from the same measurements, rounded up to whole packs.Open the demo
How we build this
We build systems like this to fit your work, connected to the tools you already use.
Want to put this in place?
A free 30-minute call: we look at where your enquiries come in and say how an assistant would answer, book and hand over to your team.