Speed to Lead for Contractors: How Fast Is Fast Enough?

Answer inside five minutes and you are competing on the work. Answer in thirty and you are competing on luck. The research behind that claim is older and narrower than the people quoting it usually admit — so here is what each study actually measured, what it means for a home-service business specifically, and how to measure your own response time this week without buying anything.

The short answer

• Under 5 minutes: the target. Contact and qualification rates are dramatically higher here than at any point after.
• 5–30 minutes: the cliff. This is where most of the damage happens, and where most shops actually sit.
• Under 1 hour: the minimum bar to be in the running at all.
• Over 24 hours: functionally a decline. The homeowner has hired somebody.

For an emergency trade the windows compress further, because a homeowner with no heat is calling down a list and stops at the first person who picks up.

What the research actually says — and how old it is

Almost every article on this topic cites the same two numbers without saying where they came from or when. Both deserve better handling than that.

MIT / Lead Response Management, 2007

Dr James Oldroyd, then at MIT Sloan, analysed more than 15,000 leads and over 100,000 call attempts across six companies, with data spanning 2004–2007. The two headline findings:

• The odds of contacting a lead drop roughly 100× from 5 minutes to 30 minutes.
• The odds of qualifying a lead drop roughly 21× over the same interval.

Read that carefully. Those are the multipliers everyone quotes, and they are frequently misattributed to Harvard Business Review, which published a different study four years later. They are also drawn from six companies in the mid-2000s, none of them home-service contractors. The direction is almost certainly right and has been replicated in spirit many times. The precise multiplier should not be treated as a law of physics for your shop.

Harvard Business Review, 2011

"The Short Life of Online Sales Leads" (Oldroyd, McElheran and Elkington, March 2011) audited 2,241 US companies by sending them test leads and timing the replies. Findings:

• Average response time: 42 hours.
• 37% responded within an hour. 23% never responded at all.
• Firms that made contact within an hour were nearly 7× as likely to have a qualifying conversation with a decision-maker.

The useful part of this study isn't the 7×. It's the 42 hours and the 23%. The bar in most markets is not high.

Drift, 2017

Drift submitted real forms to 433 B2B companies and found only 7% responded within five minutes, while 55% had not responded within five business days. B2B software, not contracting — but it is the most recent large audit of its kind, and the shape matches.

The number we won't repeat

You will see "78% of customers buy from the company that responds first" everywhere, including, until recently, on our own site. We have not been able to trace it to a published study with a stated methodology. It may well be roughly true. We are not going to cite it as though we know.

The honest summary of two decades of research: responding first and responding fast wins disproportionately, the effect is large, and the exact multiplier depends on your market. That is enough to act on.

Response time by lead source

Treating every lead the same is the most common mistake. A phone call, a web form and an Angi lead decay at completely different rates, and they need different response mechanics.

Windows are practical guidance based on how each channel distributes leads, not measured study outputs.

The marketplace rows are where the money is. If Angi sells the same homeowner to four contractors at 9:02am, the one who calls at 9:04 has a structural advantage over the one who calls at 11:00 that no amount of better pricing or nicer trucks will overcome.

After hours is not a small slice

A meaningful share of home-service calls arrive outside business hours, and they skew toward the emergencies — which are the highest-value jobs and the ones with the least patience. A shop with a five-minute response time from 8am to 5pm and an infinite response time after that has not solved speed to lead. It has solved it for the easy half.

This is also where the honest maths on coverage lives. If a third of your inbound arrives evenings and weekends, then "we answer fast" describes two-thirds of your revenue opportunity at best.

Measure your own, this week, for free

You do not need a tool to find out where you stand. Pick five business days and do this:

1. Pull the call log from your carrier or phone system. Count total inbound, answered, and missed. Missed divided by total is your miss rate — the single most useful number in this exercise.
2. For every missed call, find the callback in the log and write down the gap in minutes. If there is no callback, mark it as never. Be honest about the nevers; they are the point.
3. Do the same for form and marketplace leads using the timestamp on the notification versus the timestamp on your first reply.
4. Split the whole set by hour of day. You are looking for the block where the gaps get long — usually mid-morning when everyone is on a job, and everything after 5pm.
5. Take the median, not the average. One four-day gap will drag an average into meaninglessness. The median is what a typical customer experienced.

Most shops that run this exercise are surprised by two things: the miss rate is higher than they thought, and the never-called-back count is not zero.

Three ways to fix it, honestly compared

Hire someone

A dedicated person answering the phone is the best experience a caller can have, full stop. The costs are the obvious ones — salary, taxes, benefits, cover for holidays and sickness — and one that gets overlooked: a single person cannot answer two calls at once, so the second caller still hits voicemail during your busiest hour. It also does nothing for evenings and weekends unless you're paying for that too.

Right choice if: your call volume is high enough to keep someone busy and your after-hours share is genuinely small.

Outsource to a human answering service

Good ones are genuinely good, and they cover the hours you don't. The trade-offs are cost and knowledge: at a typical small-shop volume you are looking at several hundred to well over a thousand dollars a month, and the person answering knows your business from a one-page script. They can take a message reliably. They usually cannot tell a homeowner whether a $340 diagnostic applies to their situation.

Right choice if: message-taking with a human voice is enough, and budget is available.

Automate the response

An automated first response — a text back on a missed call, an instant reply to a marketplace lead, or an AI receptionist that answers and qualifies — solves the timing problem structurally, because software has no busiest hour and no Friday afternoon. It costs a fraction of the alternatives. What it does not do is replace judgement on a genuinely unusual call, and a badly configured one is worse than voicemail because it wastes the caller's time before disappointing them.

Right choice if: most of your inbound is routine qualification — which, for most home-service shops, it is.

We build the third option, so treat that as a disclosure rather than a neutral verdict. What we would say regardless: the first two both cost more and neither covers the whole clock, which is why speed-to-lead work in the trades has drifted toward automation over the last few years.

Where to start

Run the five-day measurement. If your miss rate is under 5% and your median callback is inside ten minutes, you don't have a speed problem and you should spend the effort elsewhere — on reviews, probably, or on the customers already in your list.

If it isn't — and for most shops it isn't — fix the missed-call path first, because it is the largest single leak and the cheapest to plug. That is what missed-call text-back and speed-to-lead is for: every missed caller gets a text inside sixty seconds, and every marketplace lead gets answered before your competitor has opened the notification.