--- title: "962 Calls in Three Months: What Real Trade Call Data Shows (2026)" description: "We analysed 962 calls handled for one home service business over three months in 2026. What the data shows about urgency, call length, and what actually gets missed." canonical: https://dolfyn.ai/call-data source: dolfyn.ai --- # 962 Calls in Three Months: What Real Trade Call Data Shows (2026) > We analysed 962 calls handled for one home service business over three months in 2026. What the data shows about urgency, call length, and what actually gets missed. 2-week free trialNo credit card, no contracts [Book a call](https://dolfyn.ai/#demo) # 962 calls in three months, and what they show about what actually gets missed Most statistics about missed calls in the trades come from vendor surveys. These come from call logs. We looked at every call one home service business handled through dolfyn over three months. 962 calls · one business · three months · all customer details removed · [PDF](https://dolfyn.ai/assets/reports/dolfyn-call-data-report-2026.pdf) 962 calls handled over three months for one business 38% of triaged calls were urgent, not routine 58s median call length 93% of calls resolved in under three minutes ## Why this is different from the usual numbers The figures you normally see quoted about missed calls come from surveys, vendor blogs, or panels that are rarely published in full. We have repeatedly found the same statistic attributed to four different sources with four different values. This is not that. This is what one real home service business actually received over three months: an HVAC and plumbing operation that uses the agent for daytime overflow and after-hours cover. Every caller name, phone number, address and email has been removed. What is left is the shape of the demand. ## Nearly two in five triaged calls were urgent Across the calls where the agent classified urgency, **38% were urgent rather than routine**. That is close to two in five callers who did not have a routine request but something that could not wait. Those are the calls a business cannot afford to let ring, and they are a large enough share of the volume that missing them is not a rounding error. The takeaway is not the exact percentage. It is that a large share of the calls a busy business forwards are genuine emergencies, the work that cannot wait, and those are the calls most likely to be lost to voicemail. ## What people were actually calling about CategoryShare of categorised calls Plumbing26% Air conditioning18% Heating14% HVAC, general6% Electrical1% Other, including billing, scheduling and follow-ups35% That last row matters more than it looks. Around a third of calls were not new work at all. They were existing customers rescheduling, asking about an invoice, chasing a technician, or following up on a quote. Those calls still have to be answered, and they are the ones a busy owner is most likely to let ring. ## Most calls are short The median call ran **fifty-eight seconds**, and **93% finished inside three minutes**. An emergency intake takes longer, but the bulk of the volume is quick: confirm who is calling, what they need, and when someone can be there. The brevity is what makes missed calls feel deceptively cheap. Each individual call looks like a minor interruption. In aggregate, across three months, it was 962 of them. ## How callers sounded Sentiment was scored on every call: **87% neutral, 8% positive, 4% negative**. The negative share is worth sitting with rather than dismissing. Roughly one call in twenty involved a frustrated caller, which is what you would expect from a stream weighted toward emergencies and follow-ups. ## What we are deliberately not claiming Two things we could have published and chose not to. **Precise hour-by-hour timing.** The export does not carry consistent timezone information we could stand behind, so we are not publishing a peak-hour chart. **Revenue recovered.** We know what the calls were. We do not have each business's close rate or job values, so any dollar figure would be a guess wearing a decimal point. ## What the data shows One business, three months, 962 calls that would otherwise have rung out or gone to voicemail. Close to two in five of the triaged ones could not wait. A third were not new leads at all but existing customers who still needed an answer. Almost all of it was handled in under three minutes. The argument for answering every call has never really been about technology. It is that the calls you miss are not a random sample of the calls you get. [Download the report as a PDF](https://dolfyn.ai/assets/reports/dolfyn-call-data-report-2026.pdf) (4 pages, free to share with a link back to this page). ## See what your own call data looks like Two weeks, no credit card. At the end of it you will have your own version of this page, built from your actual calls. [Book a call](https://dolfyn.ai/#demo) --- *Source: [https://dolfyn.ai/call-data](https://dolfyn.ai/call-data)* *dolfyn — AI voice receptionist for contractors and service businesses* *Starts at $179/month. 2-week free trial. No contracts. [dolfyn.ai](https://dolfyn.ai)*