The True Cost of a Missed Call: A Calculator and What the Research Says About Response Time
'Speed to lead' is the most repeated claim in sales, and the most loosely quoted. This guide separates what the research really found from what vendors say it found, then gives you a four-input formula to put a real dollar figure on your own missed calls.
- The famous Harvard Business Review study tested B2B web enquiries, not home-service phone calls. It supports 'faster is better', but not any exact conversion multiple for your trade.
- A reliable estimate needs four numbers you can measure: missed calls, the share that are real prospects, your close rate and your average job value.
- Count recoverable calls, not all calls. Spam, wrong numbers and existing customers inflate naive estimates.
- Measure for two weeks before you buy anything. The data you collect is what makes any solution's ROI claim checkable.
What the Famous Response-Time Study Really Found
Almost every article on lead response cites 'the Harvard study'. The paper is 'The Short Life of Online Sales Leads' by James Oldroyd (Brigham Young University), Kristina McElheran (Harvard Business School) and David Elkington (InsideSales.com), published in Harvard Business Review, volume 89, in 2011.
As widely reported, the researchers submitted test web enquiries to 2,241 US companies and measured the response. Roughly 37% responded within an hour, 16% between one and 24 hours, 24% took longer than 24 hours, and about 23% never responded at all. The headline finding was that firms that tried to contact a lead within an hour were nearly seven times as likely to qualify it (have a meaningful conversation with a decision maker) as firms that waited even one hour longer.
We could confirm the paper's bibliographic details and abstract directly. The specific percentages above come from consistent secondary reporting rather than the full text, so treat them as the accepted summary, not a quotation.
What That Evidence Does and Doesn't Support for Home Services
Supports: across a large sample, faster response was associated with far better odds of reaching and qualifying the prospect. The direction is consistent with common sense and with what every contractor has seen.
Doesn't support: a specific multiple for your business. The sample was web leads sent to companies mostly selling to other businesses, not a homeowner calling an HVAC company with no heat. The causal mechanism is plausible for urgent trades (a customer in an emergency keeps dialling until someone answers) but the exact numbers do not transfer.
This distinction matters commercially. Anyone who promises you 'a 21x lift' is quoting a number that does not apply to you. The responsible claim is smaller and checkable: if you are currently missing calls, answering more of them will recover some jobs, and you can calculate roughly how many.
The Four-Input Formula
Here is the calculation. It uses numbers you can pull from your phone system or carrier records, and it is deliberately conservative.
Monthly cost of missed calls = Missed calls × Prospect rate × Recovery rate × Close rate × Average job value
| Input | What it means | Where to find it |
|---|---|---|
| Missed calls | Inbound calls nobody answered (voicemail, no answer, abandoned) | Phone carrier call log, call-tracking tool |
| Prospect rate | Share that were genuine new customers, not spam, wrong numbers or existing jobs | Listen to or read a sample of 30 to 50 voicemails/logs |
| Recovery rate | Share you could realistically have won if answered promptly (be honest, often 30 to 60%) | Your judgment; start low |
| Close rate | Of answered new-customer calls, share that become booked jobs | CRM or job software |
| Average job value | Revenue per booked job, by trade | Invoicing software |
Common Mistakes That Inflate (or Deflate) the Estimate
- Counting all missed calls. Existing customers, suppliers, spam and robocalls are not lost revenue. Sample and filter.
- Using revenue instead of margin. Revenue is the right figure for lost sales, but compare any solution's cost to the margin you'd keep, not the top line.
- Assuming everyone answered becomes a customer. Your close rate on answered calls is the honest ceiling.
- Ignoring lifetime value. A one-off $400 repair customer who later buys a $9,000 system is worth more than the first invoice. Include it separately, as an upside, not in the base case.
- Forgetting capacity. If your team is fully booked, recovered calls only add revenue when you can actually serve them.
- Ignoring after-hours and during-job calls. For many small crews, the biggest missed-call windows are lunch, evenings and when everyone is on a roof. Check call timestamps.
Measure for Two Weeks Before You Buy Anything
Before comparing solutions, collect data. For two weeks, log every inbound call: time, answered or not, new customer or not, and outcome. A spreadsheet is enough. You will usually discover that your missed calls cluster in specific windows, which tells you whether you need after-hours coverage, overflow coverage, or just a better process.
This also protects you. When any provider, including us, quotes an ROI, you can check it against your own baseline instead of trusting a generic claim.
Cheaper Fixes Worth Trying First
Not every missed-call problem needs new technology. Depending on your numbers, consider, in rough order of cost:
- Call forwarding rules so after-hours and busy-line calls ring a second person's mobile.
- An automatic text reply to missed calls that asks what the customer needs and offers a booking link. See our missed-call text-back guide for how this works and what rules apply.
- A live or AI answering service for overflow and nights, which scales with call volume. Our cost guide compares the pricing models.
- Hiring or reassigning a part-time dispatcher if your call volume is steady and high enough to justify a person.
Sources
Oldroyd, J. B., McElheran, K., and Elkington, D. (2011). 'The Short Life of Online Sales Leads.' Harvard Business Review, vol. 89, edition 3, p. 28. Bibliographic record: BYU ScholarsArchive, facpub/9711.
InsideSales.com 2007 lead response analysis (vendor data, cited widely, not peer-reviewed).
Worked example in this article is hypothetical and illustrates the arithmetic only.
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Put Your Own Numbers Through the Formula
Send us your call log summary and we'll run the calculation with you, including whether an answering solution would pay for itself.