TL;DR

Speed to lead is the time between a new lead arriving and your first real response. This guide covers what the response-time studies actually measure, why a slow reply quietly wastes marketing spend, how fast you realistically need to be, and where the famous numbers come from, including their honest limits.

Speed to lead is the time between a new lead arriving and your first real response to it. If someone fills in a form on your website at 9:02 and you call or email them at 9:09, your speed to lead is seven minutes.

It sounds like a small operational detail. It is one of the biggest levers you have over whether the money you spend on marketing turns into customers. This guide covers what speed to lead is, why a slow response quietly wastes your spend, how fast you actually need to be, and what the evidence does and does not prove.

What we corrected in this piece, and why we are telling you

This article used to repeat three things that did not survive their own fact-check. Publishing the corrections is the point: a page arguing that everyone quotes numbers without sourcing them has to hold itself to the same standard.

  • We had attributed the 100x and 21x odds ratios to MIT. Dr James Oldroyd was a visiting research fellow at MIT Sloan when the work was done, so the claim was imprecise rather than false, but the study is the Lead Response Management Study, run in 2007 with InsideSales.com. No university belongs in the citation. We fixed it in twenty-four places across this site, not just here.
  • We dropped a 391% figure attributed to Velocify. Velocify was absorbed into another company and its domain no longer resolves, so we could not verify the figure at its source. A number you cannot check is worth less than the space it occupies.
  • We dropped an 8x figure attributed to a 2021 InsideSales study. It could not be traced to a published method, so it went too, with nothing substituted in its place.

What remains is two studies, both named, dated and linked, and an honest note about their age. That is a shorter list than most articles on this subject carry, which is rather the point.

What the studies are actually measuring

Two studies carry the weight and they measure different things: the 2007 Lead Response Management Study measured the odds of reaching and qualifying a lead by how fast you called, and Harvard Business Review measured how long companies actually took. Knowing which measured what is the whole reason this article exists. For what each figure means in practice, see the statistics section of the complete guide.

Why speed to lead matters to your bottom line

The commercial case is not in dispute and is not the subject here. Faster first replies win more conversations, and the guide covers what that is worth. This article is about whether the numbers people quote for it can be traced at all.

Which numbers are actually usable

This article is about provenance: where the industry’s famous figures came from and which ones survive being checked. It deliberately does not restate them as a benchmark list, because that job belongs in one place only.

For the numbers themselves, what each one measured, and the age caveats that come with them, see the speed to lead statistics section of the complete guide. That is the canonical reference and the one we keep current.

Most companies are slow, and that is your opening

You would expect that after two decades of "respond faster" being common advice, most businesses would have this solved. They have not, and the recent audits are blunt about it.

RevenueHero's 2024 study submitted demo requests to 1,000 B2B software companies. Only 365 responded at all, and among those that did, the average response time was one day, five hours, and 17 minutes. Workato's 2026 audit of 114 B2B companies found that more than 99 percent failed to respond within five minutes, only 31 percent ever responded by phone, and the average phone response time was over 14 hours.

A 2026 Workato study of 114 B2B companies found more than 99 percent failed to respond within five minutes. The advice is famous; the execution is rare. That gap is the opportunity. You are not competing against best practice. You are competing against the 42-hour average Harvard Business Review measured in its 2011 audit of 2,241 companies, in a field where nearly a quarter never replied at all. Being merely quick puts you ahead of nearly everyone.

How to actually get fast

The tactics are not the subject here either, and the guide treats them properly: routing and ownership, after-hours cover, what to do when the responder is away from a desk, and what to measure. See the complete speed to lead guide. One warning is worth repeating, because it is the mistake this evidence is most often used to justify: an instant automated reply is a receipt, not a response, and it does not count as speed.

Setting the record straight: where the famous numbers come from

You have probably seen the claim: "Harvard found that responding within five minutes makes you 100 times more likely to reach a lead and 21 times more likely to qualify them." It is one of the most repeated statistics in sales, and it is wrong about who said it. It matters here because if you are going to act on speed to lead, you should know which numbers are solid.

The "100x" and "21x" figures come from the 2007 Lead Response Management study, run by Dr James Oldroyd with InsideSales.com, not from Harvard. It looked at three years of data across six companies: more than 15,000 leads and over 100,000 call attempts. It measured the odds of reaching and qualifying a lead as a function of response speed, and found that responding in five minutes rather than thirty was associated with roughly 100 times higher odds of contact and 21 times higher odds of qualifying.

Harvard's actual contribution came in 2011, in the article The Short Life of Online Sales Leads. In that 2011 HBR audit its researchers tested 2,241 US companies and found an average response time of 42 hours, with 23 percent never responding at all. A separate dataset of 1.25 million leads found that firms responding within an hour were nearly seven times more likely to qualify a lead than those who waited even one hour longer, and more than 60 times more likely than those who waited a day. The web took the 2007 odds ratios, attached the Harvard name, and produced a combined statistic that neither study published.

A few popular numbers do not hold up at all. The "78 percent of customers buy from the first company to respond" and "35 to 50 percent of sales go to the first responder" claims appear everywhere, but no primary source with a published method could be found for either. So neither is used here. The verified findings, the 2007 odds ratios and the Harvard one-hour effect, are strong enough on their own.

The same finding, counted three times

The oddest thing about the circulating set is that several of its numbers are not different findings at all. They are one 2007 result, restated until it looks like a body of evidence.

Oldroyd measured that calling at five minutes rather than thirty made qualifying a lead about 21 times more likely. That single ratio now circulates in at least three costumes. It appears as 21x more likely to qualify, which is the original. It appears as 20 times more likely to convert, which is the same ratio rounded down and quietly switched from qualifying to converting, a different outcome entirely. And it appears as qualification odds drop by 80 percent after five minutes, which is the same ratio again, flipped into a percentage.

Pages routinely list all three together, in the same block, as though each were independent corroboration of the others. Read literally, such a page tells you the odds are 20 times worse, and 21 times worse, and 80 percent lower, on the authority of one study that measured one thing once, in 2007, across six companies. They cannot all be separate evidence. They are one number wearing three hats.

There is a second problem with the 80 percent version specifically. Turning a relative odds ratio into a percentage drop invites the reader to hear it as "80 percent of leads become unreachable", which is not what was measured and is not true. Leads stay contactable for days. What decays is your position in the queue.

Two more that go nowhere

Two further figures turn up constantly in the same lists: that only 27 percent of leads ever receive a follow-up, and that under 25 percent of companies make direct phone contact. We looked for a primary source with a published method behind each. We did not find one for either, so neither appears anywhere on this site as a fact.

That is four numbers we have declined to use, alongside the 391 percent figure we removed when its publisher’s domain stopped resolving, and the two we corrected on our own pages. The list of things we cannot stand behind is longer than the list we can. That is the honest state of this evidence base, and anyone quoting eight confident statistics at you has not checked.

YearStudySample and methodMost durable finding
2007Lead Response Management Study (Oldroyd, with InsideSales.com)3 years, 6 companies, 15,000+ leads, 100,000+ calls5 minutes vs 30 minutes: 100x contact odds, 21x qualify odds
2011Harvard Business Review company audit2,241 US companies, test-lead auditAverage response 42 hours; 23% never responded
2011HBR lead-life dataset1.25M leads, 29 B2C and 13 B2B firmsWithin 1 hour: nearly 7x more likely to qualify than 1 hour later
2024RevenueHero mystery shop1,000 B2B SaaS companiesAverage response 1 day 5 hours; 63.5% never replied
2026Workato audit114 B2B companiesMore than 99% failed to respond within five minutes

The honest limits

To be clear about the limits: the evidence is strong on direction and rough magnitude, and weaker on exact figures. The foundational studies are old. The 2007 work used only six companies and never measured revenue. The Harvard datasets predate mobile-first buying, modern chat, and instant calendar booking. Several of the splashiest percentages lack the methodological transparency needed to treat them as fact. Newer studies are often operational audits or vendor benchmarks rather than controlled research.

The core finding holds regardless. Across every credible study, from 2007 to 2026, the same pattern holds: when a lead waits, your odds fall, and they fall fastest at the start. The precise multiple is open to debate. That speed matters is not.

The part nobody talks about

There is a quieter problem underneath all of this. To respond fast, you first have to know a lead exists, who they are, and where they came from. Most teams lose the critical minutes simply finding that out: digging through a form notification, checking which page the person landed on, working out whether this is a real prospect or someone just browsing. For service businesses, where the first company to respond usually wins the job, that handoff is the whole game; we cover it trade by trade in the lead capture software guide.

That is the part Lead Source was built for. Every new lead arrives the moment it lands, with its full journey attached, so the first decision, whether and how fast to respond, is made with the whole picture in front of you. Speed is something any tool can promise. Arriving already knowing who the person is and what they looked at is the harder, more useful half.

Sources

The figures in this guide are drawn from:

The revenue model is illustrative and labelled as such.

The canonical, fully-sourced version of these statistics, with each figure traced to its named study and dated, lives in the speed to lead statistics section of the complete guide.