A 2011 Harvard study found the average US business took 42 hours to reply to a new lead. Twenty-three percent never replied at all. The same pattern is still showing up in the trades — and it's the most expensive line item most small operators never see.
The phone rings at 18:14 on a Thursday. A homeowner in Limoges has a leaking joint under the kitchen sink. She has called three plumbers she found on Google. The first one rings out. The second goes to voicemail. The third picks up — promises a callback by morning.
Morning comes. No callback.
It's a small moment, the kind that happens in plumbing shops, dental practices, garages, hair salons, and one- or two-partner law firms every day. The missed call. The promise. The silence. The lost job.
The 42 hours in the title isn't invented. It comes from a 2011 study of 2,241 US firms published in the Harvard Business Review. Oldroyd, McElheran, and Elkington asked a simple question: how fast do businesses actually respond to a new web-based sales lead? Their answer: the average firm took 42 hours. Almost a quarter — 23% — never replied at all.
That study is fifteen years old, looked at B2B web inquiries, and oversampled larger firms. It would be tempting to assume small independent operators in the trades are faster. The available evidence points the other way.
The Drift 2017 secret-shopper study — 433 companies, real phone calls and web forms, no script disclosed in advance — found that only 7% of businesses responded to a new lead within five minutes. More than half — 55% — had not responded at all within five business days. Drift's methodology, later republished and discussed by Salesloft, is closer to the lived experience of a plumber or a dentist than the HBR sample is.
The MIT Sloan work with InsideSales — the Lead Response Management Study — is the one that should keep trades owners up at night. The team tracked roughly 15,000 leads across six companies and found that the odds of qualifying a lead drop 21-fold when first response stretches from five minutes to thirty minutes. The contact ratio — the share of leads a salesperson actually reaches a human being about — falls by roughly 100-fold over the same window. The window is small. The cliff is steep.
The three studies together tell a coherent story. Most businesses are slow. A meaningful share never respond. The cost of the delay is not linear — it is exponential. A missed call at 18:14 is not just a missed call. It is a customer who, by morning, has spoken to someone else.
What this looks like inside a small operation:
The math is brutal because the alternatives are zero-sum. In trades, customers rarely delay. They move. They pick the next name on the list. They book whoever picks up.
This is exactly the kind of work an AI assistant is well-suited to. Not as a replacement for the receptionist, the dispatcher, or the partner — but as the layer that catches the missed call at 18:14, takes a message in two sentences, and triggers a callback before the customer has reached the next name on the list. The assistant does not take a coffee break at 18:00, does not lose the lead in a stack of paper, and does not think "I'll deal with that Monday."
A plumber in Limoges, a law firm in Toulouse, and a dental practice in Lille share the same 42-hour problem. The fix does not have to be expensive. It has to be fast.