It is a Tuesday afternoon in July. A technician is in an attic running a leak search, the office manager left forty minutes early for a kid’s dentist appointment, and the phone rings twice in an empty front office before it rolls to voicemail. On the other end is a homeowner whose air conditioner quit on a 97-degree day. She is not calling because she loves waiting on hold. She is calling because her house is 84 degrees and climbing, and she already has two other HVAC numbers pulled up on her phone. The owner hears the voicemail that night. The caller’s message ends with “never mind, I got someone else out here.”
The owner assumes this happens occasionally. He wants to know how much it actually costs him over a year, so he searches it, and the search results hand him a wall of numbers that sound precise: a percentage of calls that go unanswered nationally, a specific annual dollar loss, a specific share of callers who never try again. The numbers look like an instrument reading. They are not. None of them were measured at his shop, on his phone lines, with his dispatcher, in his market, on his ticket prices. A gauge built for someone else’s aircraft does not tell you your own altitude.
What The Instrument Actually Measures, And What It Does Not
There is a real body of research on how response speed affects sales outcomes, and it is worth naming precisely, along with what it does not cover. A 2011 Harvard Business Review paper by James Oldroyd, Kristina McElheran and David Elkington tracked how fast 2,241 companies responded to a planted, web-generated sales inquiry, and a related 2007 study run through the vendor InsideSales.com followed three years of data across six companies and roughly 15,000 leads. Both are frequently cited, and the 2007 figures are often misattributed to “an MIT study” because the lead researcher held a fellowship at MIT Sloan at the time, not because MIT published it. More to the point for an HVAC owner: both studies measured how fast companies followed up on web-submitted sales leads, not whether someone picked up a ringing phone. And in both cases, one of the named authors ran the software company selling faster lead response, a conflict worth knowing about before treating the numbers as neutral.
A separate, real, and named study does look at phone answer rates directly. In 2016, the marketing company 411 Locals monitored calls at 85 businesses across 58 industries over 30 days and found that 37.8 percent were answered live, another 37.8 percent went to voicemail, and 24.3 percent got no response at all. That is a genuine finding, not a fabrication, but do the arithmetic: 85 businesses spread across 58 industries works out to roughly one and a half businesses per industry. That is enough to describe a general pattern across small business as a whole. It is nowhere near enough to say anything specific about HVAC companies.
Beyond those, several numbers that circulate in home-service marketing content, including a widely repeated $126,000 annual-loss figure and a claim that 85 percent of callers never call back, could not be traced to any named study, sample size, or methodology when checked directly. The pages that supposedly source them are either dead links or unnamed “industry models” with no disclosed data behind them. They read like measurements. They are marketing copy repeating other marketing copy. This piece leaves them out rather than repeat them.
How To Test It Yourself
Since no outside number applies to your shop, the fix is to build your own instrument. For two full weeks, log every inbound call to the business, office line and any dispatcher cell line included. For each one, note three things: the time it came in, whether a live person answered it or it went to voicemail or rang out, and whether the caller was a new-customer inquiry about a possible job versus an existing customer, vendor, or unrelated call. A shared spreadsheet or a paper log at the front desk works fine. The point is not sophistication. It is that the numbers come from your calls instead of someone else’s press release. Two weeks is short enough to actually do and long enough to see a pattern in when calls get missed, whether that is during a busy install, over lunch, or after hours.
How To Interpret The Result
Once you have two weeks of real data, two formulas turn it into something you can act on. Neither requires an outside statistic.
- Monthly revenue exposure = missed new-customer calls per month × the booking rate you would realistically expect if those calls had been answered live × average ticket value for that type of job.
- Monthly gross-profit exposure = monthly revenue exposure × your gross margin percentage on that type of job.
Here is one fully worked example, using assumptions invented purely to illustrate the math, not any real company’s numbers. Say the two-week log showed six missed new-customer calls, which projects to roughly twelve per month. The owner estimates, based on his own close rate on live-answered calls, that half of those would likely have booked, a 50 percent booking rate. The average ticket for that call type in his market runs around $350. Monthly revenue exposure = 12 × 0.50 × $350 = $2,100. If gross margin on that type of job runs 40 percent, monthly gross-profit exposure = $2,100 × 0.40 = $840. Every input in that example should be replaced with your own logged call count, your own honest booking-rate estimate, and your own average ticket and margin pulled from your own books, not the figures used here.
What This Cannot Tell You
This measurement has real boundaries, and treating it as more than it is will produce a wrong picture. It does not distinguish between a routine service call and a full system replacement lead, and those two carry very different average tickets and margins, so run the formula separately for each rather than blending them into one number. It does not tell you why a call went unanswered, whether it was a staffing gap, an after-hours window, or a seasonal spike, only that it happened. It does not tell you what the caller did next. The log shows a missed call, not a lost customer, since some callers text back, call again the next morning, or reach a different employee. And two weeks is a snapshot: HVAC call volume moves with the weather, so a log run in April will not look like one run during a July heat wave. If this number is going to inform a real decision about staffing or after-hours coverage, run the measurement more than once, across different seasons, before treating either result as your true exposure.
What This Article Does Not Promise
No article and no formula can tell you what a missed call is worth at your business. That number depends on your close rate, your ticket sizes, your market, and how many people were calling in the first place, none of which is visible from outside. Anyone offering you a fixed industry number to skip the two-week log is selling you certainty the data does not support.
Where To Start
Start the call log this week, before the next heat wave or cold snap changes your volume. If you want a second set of eyes on the public-facing side of the phone path, meaning the number you publish, whether it click-to-calls correctly on mobile, and what a caller hears after hours, the SQUAWKS Walkaround is free and looks at exactly that. You can book a free Walkaround in a couple of minutes. The full HVAC Revenue Pathway inspection starts at $2,495, and every finding comes back ranked so the worst of it gets corrected first. Monthly Flight Check coverage starts at $349 a month once a Revenue Pathway Audit is complete.
Questions go to hello@thesquawks.com or 407-584-7830. SQUAWKS is Orlando based and works with businesses nationwide.