A homeowner’s garage door spring snaps on a Tuesday morning. They pull up Google, and they do not call one company. They call three or four off the same results page, back to back, while the door is still sitting there half open. Whoever answers first, or texts back first, or sounds like they have their act together first, usually gets the job. The other three companies did not lose on price. They lost on time.
We sell a system that includes missed-call text-back and, in our Core tier, an AI receptionist that answers calls and website chat, so we have a stake in this topic and you should read the rest of this knowing that. What follows is not a sales pitch dressed up as research. It is the actual research on lead response time, attributed correctly, including the parts that get misquoted constantly and the parts that get made up entirely. If you finish this article and decide the fix is a legal pad by the phone and a habit of checking voicemail every hour, that is a legitimate answer too.
The dynamic nobody models
Most advice about winning more garage door jobs assumes a homeowner researches, compares, and picks. For a broken spring, a door off track, or an opener that will not respond, that is not what happens. The homeowner is standing in front of a problem that is not going away on its own, they searched once, and now they are working down a short list in real time. The company that picks up the phone, or replies to the text, while the other three are still ringing, is often the company that gets hired, regardless of who has the better reviews or the newer trucks.
This means garage door companies are not really competing on price or reputation in the moment the lead is created. They are competing on who responds first. Reputation and price still matter, they decide who makes the shortlist in the first place, but once the calls start going out, speed becomes the tiebreaker. That is the entire argument of this article, and it is worth stating plainly before getting into the numbers, because most of what gets written about “speed to lead” buries the point under a statistic that turns out to be misattributed.
The correctly attributed research, and where the famous number actually comes from
The number everyone quotes is that calling a lead back within five minutes makes you 100 times more likely to reach them than waiting thirty minutes, and 21 times more likely to qualify them. Almost every marketing page that uses this number credits it to Harvard Business Review. That is wrong, and it is worth being specific about why, because the actual source matters for how much weight to put on the finding.
The 100x and 21x figures come from a study presented in October 2007 by Dr. James Oldroyd, using three years of data from InsideSales.com, a company that sells lead-response software. The study covered only six B2B companies, more than 15,000 leads, and over 100,000 call attempts, all routed through InsideSales.com’s own dialer platform. It was never published in a peer-reviewed journal. Oldroyd himself noted that the pattern only emerges when data from several companies is pooled together, which is a reasonable methodological note and also a sign that no single company’s data showed this cleanly on its own.
None of that means the finding is false. Six companies and 100,000 call attempts is a real, if narrow, dataset, and the direction of the effect, faster response beats slower response, lines up with everything else in this field. But it is vendor-funded research co-authored by the vendor’s own CEO, run on that vendor’s platform, and never independently replicated. Present it as real industry research, which it is. Do not present it as an HBR study, because it is not one.
What the real 2011 Harvard Business Review article actually found
There is a real Harvard Business Review article on this subject, and it deserves to be read on its own terms instead of as a stand-in for the 2007 study. It is titled “The Short Life of Online Sales Leads,” published in March 2011, written by James Oldroyd along with Kristina McElheran of Harvard Business School and David Elkington, who is the chairman and CEO of InsideSales.com. That last credit matters the same way it did above: one of the three authors runs a company with a direct financial interest in companies believing that response speed is critical.
With that noted, the article reports two separate pieces of research. First, an audit of 2,241 U.S. companies across industries including financial services, automobiles, education, software, health care, and professional services. Test leads were sent to each company and response time was measured. The results: 37 percent responded within one hour, 16 percent responded within one to twenty-four hours, 24 percent took more than twenty-four hours, and 23 percent never responded at all. Among the companies that did respond within thirty days, the average response time was 42 hours.
Read that again, because it is the most useful sentence in this whole body of research for a garage door company: nearly a quarter of companies tested never responded to the lead at all. If your shop calls back every lead within a day, you are already ahead of a meaningful share of your competition, without touching software.
The second piece of the 2011 article is a separate dataset of 1.25 million leads spanning 29 B2C and 13 B2B U.S. companies. This dataset found that contacting a lead within one hour made it roughly seven times more likely to be qualified than contacting it even one hour later, and more than sixty times more likely than waiting twenty-four hours or longer. Note that the 7x and 60x figures from this study are different numbers than the 100x and 21x figures from the 2007 study. They are commonly conflated because they come from overlapping authors on a similar topic. They are not the same study, the same dataset, or the same numbers, and a careful reader should keep them separate.
Why callback speed alone does not save you
Here is the part most speed-to-lead content skips entirely: calling a lead back quickly only works if the lead answers the phone. And a large share of consumers do not answer calls from numbers they do not recognize, which describes most business lines calling a homeowner’s cell phone for the first time.
Per Hiya’s “State of the Call” report, as cited by CallRail, 86 percent of consumers say they do not answer calls from unrecognized numbers, with only 14 percent picking up immediately, 28 percent declining outright, and 41 percent letting it go to voicemail. The same report found 73 percent of consumers think businesses should identify themselves on caller ID. This citation comes secondhand through CallRail’s blog rather than a direct pull of the original Hiya report, so treat the exact percentages as reasonably well-sourced but not independently re-verified.
The practical implication: a callback from an unfamiliar number is not the same thing as reaching your lead. If your fast callback goes to voicemail because the homeowner does not recognize your number, you have technically hit your five-minute goal and still lost the job to whichever company’s call they did pick up, or whichever company texted instead. This is the argument for a channel that does not depend on the homeowner recognizing a phone number: a text message. A text shows up regardless of whether the recipient trusts the calling number, and it does not require them to be free to talk at that exact moment.
The after-hours half of the problem
Speed to lead usually gets framed as a business-hours problem, and that framing misses roughly four in ten leads. Per Jobber’s Field Report, as cited by CallRail, 41 percent of jobs booked online arrive outside normal business hours, with meaningful demand even in the 1am to 4am window. A broken spring does not wait for 8am, and neither does the homeowner searching for someone to fix it.
This matters because most of the “call back fast” advice assumes a person is available to make that call. A two or three truck shop where the owner answers the phone personally cannot staff a phone line at 2am, and should not try to. The fix for after-hours leads is not a faster human, it is something automated that runs when nobody is at the desk: an after-hours voicemail that actually gets checked at 7am is table stakes, but a text or online booking option that a homeowner can act on at 2am without waiting for anyone captures leads a phone-only setup cannot.
A self-audit you can run this week
Before buying or building anything, pull your own numbers. Most phone systems and CRMs keep a call log, and this takes under an hour.
- Pull the call log for the last 30 days and count how many inbound calls show as missed, not just the ones that went to voicemail.
- For each missed call, check whether anyone called that number back, and how long after the missed call the callback happened.
- Separate the missed calls by time of day. Note how many landed outside your posted business hours.
- Cross-reference against your booked jobs for that period. How many missed calls turned into a job anyway, and how many just disappeared.
Most owners who run this exercise are surprised by two things: how many calls actually go unanswered when the shop is busy on other calls or in the field, and how inconsistent the callback timing is even when someone does eventually call back. You cannot fix what you have not measured, and this measurement costs nothing but an hour.
The fixes, ranked by what they cost
There is a real range of options here, from free to a few thousand dollars a month, and the right one depends on what your self-audit actually showed.
An answered phone. The cheapest fix is having someone answer the phone during business hours, every time, without exception. This sounds obvious and it is also the thing most shops fail at, because the person who would answer the phone is often the same person driving to a job or standing in someone’s garage with a wrench. If your self-audit shows most missed calls happen during business hours while techs are in the field, the fix might just be a dedicated front-desk answer, whether that is the owner’s spouse, a part-time hire, or a rotation among office staff. Cost: whatever that person’s time is worth to you, which is usually far less than the jobs you are losing.
Missed-call text-back. When a call goes unanswered, an automatic text goes out immediately, something like “Sorry we missed your call, this is [Shop Name], reply here or call back and we’ll get you scheduled.” This does not book the job by itself. It buys time and keeps the conversation alive through a channel the homeowner is more likely to check than a voicemail from an unrecognized number, per the Hiya figures above. This is one of the pieces we build inside Lead Engine, designed with quiet hours and duplicate-call handling so it is not supposed to fire off at odd hours or double-text the same caller, and we are not neutral on it for that reason. It is also genuinely one of the lowest-cost, lowest-risk fixes available, and plenty of shops set up an equivalent through their existing CRM or phone system without buying anything new. A step-by-step missed-call text-back setup guide walks through the actual configuration either way.
An automated first response beyond text-back. This is a step up: an automated sequence that follows the missed-call text with a scheduled human follow-up task, so the lead does not just get one text and then silence if nobody replies. This requires a CRM or lead system with rules attached to it, not just a texting tool, because the goal is to make sure a person eventually looks at every lead that came in, not only the ones the automated text happened to convert. Our guide to setting up an automated lead follow-up sequence covers the stop rules and ownership that make this work without becoming spam.
An AI receptionist. The most capable option, and the one that most needs testing before you trust it with the phone, is a service that answers the call itself, in real time, using a conversational AI, and either books the job or hands off to a human. This is now included in our own Core tier at $297 per month plus a one-time $297 activation fee, with no per-call or per-minute charge for AI handling at any call volume. It works from an answer key built with your shop: service area, hours, spring and opener basics, pricing ranges, and what counts as an emergency for you specifically. On a call it captures the service address, what the door is doing, whether a car is trapped inside, and a callback number, then checks a connected calendar to book the visit or transfers the call on rules you set before launch. The same answer key runs website chat and text answering too, so the shop says one thing everywhere, and every conversation writes to the same lead record as your forms and missed calls, which is the whole argument of this article applied to a channel that never goes to voicemail. It goes live only after the answer key, the calendar, the transfer rules, business hours, and the caller disclosure some states require pass a live phone test, not a demo script. It is not a person: it will not diagnose a door or quote outside the ranges you give it, and it does not recognize a repeat caller today. Published self-serve pricing from Smith.ai, checked August 2026, runs from $300 per month for a 30-call starter plan up to $2,100 per month for 300 calls, with per-call overage fees and additional per-call charges for appointment booking, call recording, and SMS notifications, and Smith.ai backs its AI with a staffed, live human receptionist when the AI cannot handle a call, a backstop we do not offer at any tier. Rosie, a phone-answering AI built specifically for home-service trades, ships pre-tuned with scripts for spring and opener calls out of the box, where the version we configure for your shop is built around your specific answer key rather than pre-loaded for the trade. Other vendors in this category, including Podium’s AI receptionist product, do not publish pricing at all and route every inquiry to a sales call, which is worth knowing before you spend time evaluating them. Our AI receptionist guide for garage door companies goes deeper on the vendor comparison and the setup work.
The statistics we will not repeat
A cluster of numbers shows up constantly in home services marketing content: that 62 percent of home service calls go unanswered, that 85 percent of callers never call back if they do not reach someone, that 67 percent of them call a competitor instead, and that 78 percent of customers buy from whichever company responds first. These numbers appear, worded almost identically, across dozens of blog posts and vendor pages. None of them trace to a named study, a stated sample size, a named researcher, or an original publication we could find. The 62 percent figure is frequently attributed to ServiceTitan, and we could not locate that figure anywhere in ServiceTitan’s own published research.
This does not mean the underlying idea is wrong. It is plausible, even likely, that a meaningful share of home service calls go unanswered and that a meaningful share of those callers move on to a competitor. But “plausible” and “sourced” are different things, and this guide only repeats the numbers we could trace to an actual study, a stated population, and a named author. If you see these specific figures quoted elsewhere without a source, that is worth noticing.
How to tell it is working
Whatever you change, measure it against your own baseline, not against someone else’s marketing claim.
In week one, watch two numbers: the percentage of inbound calls that get answered live or texted back within a set window you define, and how many of those missed-call texts get a reply. If your reply rate is near zero, the message itself may be too generic or arriving too late relative to when the homeowner already called the next company.
By month one, look at whether your booked-job rate on missed calls has moved from what your original self-audit showed. If missed calls that used to just disappear are now showing up as booked jobs, even a modest share of them, that is the signal the fix is doing something. If the reply rate to your missed-call texts is healthy but the booked-job rate has not moved, the bottleneck is probably not response speed, it is what happens after someone replies, which points toward the follow-up and CRM side of this problem rather than the initial response.
Our broader garage door leads and marketing software guide covers where speed to lead fits relative to your other channels, and leads don’t convert, systems do is the natural next read once the initial response is handled and you want the leads that reply to actually get worked.
Common questions
- Is it true that 62 percent of home service calls go unanswered?
- That specific figure has no traceable source. It circulates on marketing pages and content-mill sites with no named researcher, sample size, or original publication, and it does not appear to come from ServiceTitan despite being attributed to them. Treat it as unverified and do not repeat it as fact.
- Where does the '100x more likely to qualify a lead' statistic actually come from?
- It is usually credited to Harvard Business Review, which is wrong. It comes from a 2007 study by InsideSales.com and MIT Sloan researcher James Oldroyd, based on three years of data from six B2B companies, and it was never peer-reviewed. A separate, real 2011 Harvard Business Review article by the same lead researcher found smaller but still large effects using different data.
- How fast should a garage door company call back a new lead?
- The research points toward minutes, not hours. The available studies measured response windows in five-minute and one-hour increments and found the advantage concentrated in the first hour, with a sharp drop after that. No study specific to garage door companies has measured this directly.
- Is missed-call text-back the same thing as an AI receptionist?
- No. Missed-call text-back sends an automatic text after an unanswered call, usually asking the caller to reply or book online, and a person still has to follow up. An AI receptionist attempts to hold a full conversation, answer questions, and sometimes book the job without a person involved until later.
Sources
Prices, limits, and requirements were checked on August 29, 2026. Vendors change these without notice, so confirm anything that affects a buying decision before you sign.
- InsideSales.com / MIT Sloan Lead Response Management Study (Oldroyd, 2007)
- The Short Life of Online Sales Leads, Harvard Business Review, March 2011
- Home services marketing statistics (Hiya State of the Call and Jobber Field Report, cited via CallRail)
- Smith.ai pricing
- Smith.ai AI receptionist product page
- Rosie pricing and home-service positioning
- Garage Door Lead Engine pricing
