Speed to Lead
Lead Response Time Benchmarks, With the Sources Attached
Most benchmark round-ups cite each other in a circle. This one states what was measured, on whom, when, and by whom.
Spent 8 years running operations for a startup studio that launched more than a dozen companies. Leads CRM, automation, AI assistants, websites, and delivery infrastructure at Agency Logics.
Published
The response-time distribution
This is the strongest benchmark in the literature because it measures observed behaviour rather than claimed behaviour: the researchers submitted a real web enquiry and timed the reply.
| Response time | Share of companies | Cumulative |
|---|---|---|
| Within 1 hour | 37% | 37% |
| 1 to 24 hours | 16% | 53% |
| More than 24 hours | 24% | 77% |
| Never responded | 23% | 100% |
Two things stand out. Nearly half of all companies took more than a day or never replied. And the single largest actionable finding is not a multiplier at all, it is that roughly one in four businesses simply does not answer enquiries.
Why 42 hours understates the problem
The widely quoted 42-hour average was calculated among companies that responded within 30 days. The 23% that never responded are excluded from it. A true average across all audited companies would be substantially worse, and any article quoting 42 hours without that caveat is quoting it incorrectly.
Benchmarks on effect rather than behaviour
These describe what faster response does, rather than how fast people are. Both come from the studies covered in detail on the five-minute rule page.
| Finding | Source | Precise comparison |
|---|---|---|
| Nearly 7x more likely to qualify | HBR 2011, 1.25M leads | Contact within 1 hour vs contact an hour later |
| More than 60x more likely to qualify | HBR 2011, 1.25M leads | Contact within 1 hour vs waiting 24 hours or more |
| Odds of contact fall ~10x | Lead Response Management study | Across the first hour |
| Odds of qualifying fall >6x | Lead Response Management study | Across the first hour |
| Attempts after ~20 hours can hurt | Lead Response Management study | Additional calls within one push |
Note the third column. The 7x and 60x figures are two different comparisons and are frequently merged into a single claim. "Qualify" in the HBR work means having a meaningful conversation with a key decision maker, not making a sale.
How to read any benchmark you are shown
Four questions will disqualify most of what circulates. We apply them to our own citations above, which is why the caveats on this page are as long as the data.
- What was measured? Time to automated acknowledgement, time to first human attempt, and time to actual conversation are three different numbers. Vendors usually report whichever is most flattering.
- On what sample, and when? A benchmark with no sample size and no date is not a benchmark, it is a slogan.
- Who paid for it? Most response-time research is published by companies selling response-time software. That includes the two studies cited here.
- Mean or median? Response times have a long tail, so means are dragged upward by a few extreme cases. Medians are more honest and are rarely what gets published.
The numbers we deliberately do not publish
"78% of buyers choose the first responder", "391% more conversions in the first minute", and "100x more likely to connect within five minutes" all circulate widely. We have not been able to trace any of them to a primary source with a stated method, so they do not appear on this site as fact. If you have seen them attributed to Harvard, that attribution is wrong.
Use your own number instead
A benchmark is only useful for deciding whether to act. Your own median tells you what to fix, and it is available from data you already hold. The method, including how to avoid the flattering number most CRM dashboards report, is in how to measure your own speed to lead.
And when you measure it, measure attempts per lead at the same time. The response-time number is the one everybody looks at, and the attempt-count distribution is usually the one that reveals the larger leak. That is the follow-up cliff.
Common questions
- What is a good lead response time?
- Minutes rather than hours, and the evidence supports that direction without supporting a precise threshold. The most defensible framing is comparative: the 2011 Harvard Business Review audit found 37% of companies responded within an hour, so responding inside an hour puts you in the faster half, and responding in minutes puts you well ahead of most of the field as it was measured.
- What is the average lead response time?
- The most frequently quoted figure is 42 hours, from the 2011 Harvard Business Review audit of 2,241 US companies, calculated among those that responded within 30 days. It is a real, sourced number, but it is fifteen years old and excludes the 23% that never responded at all, which means the true average across all companies is considerably worse than 42 hours.
- Why do benchmark articles disagree with each other so much?
- Because most of them are quoting vendor blog posts quoting other vendor blog posts, and the original method is lost several hops back. Different studies also measure different things: time to first automated acknowledgement, time to first human contact attempt, and time to an actual conversation are three different numbers routinely reported as one.
- Are there reliable 2026 benchmarks for home services?
- Not that we have been able to verify to a primary source with a stated method. Anyone publishing a precise 2026 home-services response-time benchmark should be asked how it was measured and on what sample. Your own median, measured from your own data, is more useful than any published figure.
Sources
- 1.Oldroyd, McElheran and Elkington, The Short Life of Online Sales Leads, Harvard Business Review, March 2011 The response-time distribution, the 42-hour average, and the 7x and 60x findings. Co-author David Elkington was chairman and CEO of InsideSales.com at publication.
- 2.The Lead Response Management Study The decay curve and the 20-hour finding. Built on InsideSales.com call data across six companies.
Your median beats anybody's benchmark
Two numbers decide whether lead handling is costing you money: your real median time to first contact, and how many of your leads were touched fewer than four times. Both come out of an export you already have.
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