Speed to Lead Statistics: Every Number Traced to Its Original Study

The most-cited statistic in this category comes from a 2007 study of six companies. The finding that calling a web lead within five minutes makes you "100x more likely" is real, correctly reported here, and almost always misquoted: it describes how far the odds of making contact fall between a 5-minute and a 30-minute callback, across three years of data from six companies that used one vendor's dialler. It says nothing about conversion, revenue or close rates — the study states plainly that it "did not address close ratios."

That distinction matters because the number is 19 years old and load-bearing. Every figure below was traced to the organisation that published it, checked on 10 September 2026, and carries that organisation's own stated sample and date.

Two things emerged that we have not seen reported elsewhere. The first is that the "MIT study" everyone cites is actually two pieces of research, and the half conducted at Kellogg concluded it had found nothing statistically significant. The second is that the canon is far less independent than it looks: one company's data sits underneath four of the five major studies, including the Harvard Business Review article usually offered as third-party confirmation.

Key takeaways

• 100x = odds of making contact; 21x = odds of qualifying. Both describe the drop between calling at 5 minutes and calling at 30 minutes (Oldroyd / InsideSales.com, 2007). Neither is a conversion figure.
• That study covered six companies — 3 years of data, 15,000+ leads, 100,000+ call attempts — and explicitly excluded close rates.
• 42 hours is the average first-response time, but only among companies that responded at all within 30 days. 23% never responded (Harvard Business Review, 2011, 2,241 US companies audited).
• Responding within an hour makes a firm ~7x more likely to qualify a lead than responding an hour later, and 60x more likely than waiting a day or more (HBR, 1.25m leads across 42 firms).
• 7% of 433 B2B SaaS companies replied within five minutes; 55% never replied within five business days (Drift, 2017).
• 0.1% of inbound leads get a response inside five minutes, and 57.1% of first call attempts happen a week or later (XANT, 2021, 55m sales activities).
• "78% of customers buy from whoever responds first" has no traceable source. It is attributed to a "Lead Connect survey" that has no published report or methodology.
• Response time is the second half of the problem. 55% of people who see a form never submit one, so no response time applies to them at all.

What is the 5-minute rule, and where does it come from?

It comes from research presented at MarketingSherpa's B2B Demand Generation Summit on 16 October 2007, by Dave Elkington of InsideSales.com and Dr James Oldroyd, then a Faculty Fellow at MIT's Sloan School of Management. The exact finding, quoted from the report:

"The odds of contacting a lead if called in 5 minutes versus 30 minutes drop 100 times. The odds of qualifying a lead if called in 5 minutes versus 30 minutes drop 21 times."

Three details get lost in transmission, and all three change what the number means:

The study did not measure conversion at all. Its own scope statement: "This study did not address close ratios." It measured two things — whether a rep reached a human, and whether that lead was qualified.

The sample was three years of data across six companies, covering "over fifteen thousand leads and over one hundred thousand call attempts," all drawn from the InsideSales.com system. Oldroyd's own caveat is worth quoting because nobody reproduces it: he "emphasizes that he finds these clear patterns in the data only when data from several companies is combined together."

The primary source is where the confusion starts

On the page that reports the finding as a drop, the same document then asks: "How significant is a 100x increase in contact ratios on the value of leads? How much effect does a 21x increase in qualification have on the overall sales revenue of a company?"

A decrease on one page becomes an increase on the next, and revenue — never studied — is introduced as the frame. Two decades of secondary citation have simply inherited the ambiguity from the original. If you have been wondering why this statistic appears in mutually contradictory forms, that is why.

Is it really an MIT study?

Half of it. The 2007 report contains two distinct pieces of research, and conflating them is the most common error after the 100x/21x mix-up.

Part 1 — the Kellogg Lead Response Management Survey. Oldroyd, then completing his PhD at Northwestern's Kellogg School, collected 495 survey responses from companies driving web leads, across 40+ industries, between June and September 2007. Its conclusion, verbatim:

"Frankly, in studying the responses, we couldn't find ANY statistically significant answers to our question of WHEN (besides generally faster and more efficiently) we should respond to web leads by asking the marketing departments of companies."

The survey found that marketers do not know when to call. That is a genuine finding, but it is not a benchmark, and it is the half most often folded into "the MIT study."

Part 2 — the InsideSales.com/MIT behavioural study. Because the survey failed to answer the question, Oldroyd — by then at MIT Sloan — analysed actual call data instead. This is the six-company study that produced the 100x and 21x figures.

So: the survey is Kellogg and inconclusive; the behavioural study is MIT and six companies. "A 2007 MIT study of 15,000 leads" collapses both into something neither one is.

What else did the 2007 study actually find?

The timing findings are more specific than the famous ones and almost never cited, which is odd, because they are the actionable part:

The first-hour decay figures (10x and 6x) are the ones we would put in front of a sales team over the headline number. They describe the window you actually operate in.

What is the average lead response time?

42 hours, with a significant caveat, and the caveat is usually dropped.

The figure comes from the March 2011 Harvard Business Review article "The Short Life of Online Sales Leads," by James Oldroyd, Kristina McElheran and David Elkington. The authors audited 2,241 US companies by submitting a web-generated test lead to each and timing the reply:

The 42-hour average is calculated "among companies that responded within 30 days." The 23% that never replied are excluded from it. The true picture of the market is therefore worse than 42 hours, not better — a fifth of companies are not in the average at all.

The same article reports a second, larger study: 1.25 million sales leads received by 29 B2C and 13 B2B companies. Firms attempting contact within an hour of the enquiry were "nearly seven times as likely to qualify the lead" as those trying an hour later, "and more than 60 times as likely as companies that waited 24 hours or longer." Note that HBR defines qualifying explicitly — "having a meaningful conversation with a key decision maker" — which is more than a connected call.

How independent is the research on speed to lead?

Less than the citation pattern suggests, and this is the finding we would most like other writers to pick up.

Four of those five trace to one vendor, and the Harvard Business Review article most often used as neutral academic confirmation was co-authored by that vendor's chief executive. The research is not thereby wrong — the samples are large and the methods are stated, which is more than most vendor data offers. But "MIT found it and Harvard confirmed it" describes one research programme, not two independent ones, and the field has been repeating it as corroboration for fifteen years.

How fast do companies actually respond?

Two behavioural audits, both worth citing because they measured conduct rather than opinion:

Drift, February 2017 — "Is Your Lead Management Leaking? Testing 433 Companies." A secret shopper submitted lead, demo and contact forms to 433 B2B SaaS companies. Only 7% responded within five minutes. More than half — 55% — never responded across five business days.

XANT, 2021 — a three-year analysis of 55 million sales activities at 400+ companies, covering 5.7 million inbound leads, updated with 2020 data. Just 0.1% of inbound leads received a response inside five minutes, and 57.1% of first call attempts happened a week or more after the lead arrived. XANT reports an 8x conversion rate for responses inside the first five minutes versus later callbacks.

Set those against the 2007 prescription and the gap is the story: the optimal window has been documented for nineteen years, and one lead in a thousand gets it.

Numbers this category gets wrong

Four figures in wide circulation did not survive a source check. We are crediting Expertise AI, which published a similar audit before ours and independently reached the same conclusion on the first two.

1. "78% of customers buy from the company that responds first." Attributed across dozens of pages to a "Lead Connect survey." There is no published report, no methodology, no sample size and no date. Every citation trail we followed ended at another blog citing the same phrase. This is the single most link-earning statistic in the category and it has no identifiable origin.

2. "35–50% of sales go to the vendor that responds first." Usually attributed to InsideSales.com. It does not appear in the 2007 report, the 2011 HBR article or the 2021 XANT report, and we could not locate a publication containing it.

3. "21x more likely to convert." A misstatement of a real finding rather than an invention. The 21x figure is the drop in odds of qualifying between a 5-minute and a 30-minute callback. The study excluded close rates, so no version of it supports a conversion claim.

4. "The average company takes 47 hours to respond." Often presented as the HBR number, which is 42 hours. The 47-hour figure is usually attributed to Drift's 2017 test; we could not verify it in Drift's own published write-up, which reports the 7% and 55% figures above. Treat 47 hours as unverified and cite HBR's 42 with its 30-day qualifier instead.

What response time can and cannot fix

Every study above starts counting at the moment a lead exists. That framing hides the larger loss.

Zuko's benchmarking data puts view-to-completion for web forms at 45% — meaning 55% of the people who see a form never submit one. They never become a lead, so no response time applies to them. A team with a flawless five-minute SLA is responding brilliantly to the minority who got through the form.

The two problems compound in opposite directions, which is why they are worth measuring together:

• Before submit — how many people who arrive actually complete the form. Covered in detail in our form abandonment statistics, where the population definitions matter as much as they do here.
• After submit — how quickly the lead reaches a human, which is what this page is about.

The second is the cheaper one to fix, and it is mostly a plumbing problem. Leads sitting in a database until someone runs an export is the mechanism HBR named in 2011: "the practice of retrieving leads from CRM systems' databases daily rather than continuously." Funnels built in CueFully push each submission out on completion — to Slack, Google Sheets, a CRM or a webhook — with retries and delivery history, so the five-minute window is not spent waiting for a sync. That closes the delay you control; it does not touch the 55% who never submitted, which is a funnel design question instead.

Frequently asked questions

What is a good lead response time?

Under five minutes for inbound enquiries, on the strength of the 2007 decay curve — odds of contact fall roughly 10x within the first hour alone. Under one hour is the threshold with the best independent evidence behind it: HBR found firms responding inside an hour were about 7x more likely to qualify a lead than those responding an hour later. Against the field, almost anything counts as fast: 0.1% of inbound leads get a five-minute response and 57.1% of first calls happen a week or more out.

Is the 5-minute rule still valid in 2026?

The mechanism is well-evidenced and has been replicated on much larger samples than the original — XANT's 2021 analysis of 55 million activities still finds an 8x conversion advantage inside five minutes. What has not been re-established is the precise 100x and 21x magnitudes, which come from six companies in 2007 using phone callbacks. Treat the direction as solid and the specific multipliers as historical.

Does 100x mean I am 100 times more likely to convert?

No. It means the odds of making contact — reaching a person — drop by about 100 times between calling at 5 minutes and calling at 30 minutes. The equivalent figure for qualifying is 21x. The study that produced both explicitly did not measure close rates or revenue.

Who actually conducted the MIT lead response study?

Dr James Oldroyd, as a Faculty Fellow at MIT's Sloan School of Management, using call data from the InsideSales.com platform, presented in October 2007. A companion survey of 495 companies was conducted while he was at Northwestern's Kellogg School; that survey found no statistically significant answer to the timing question. The two are frequently merged into a single "MIT study."

What percentage of companies never respond to a lead at all?

23% of the 2,241 US companies HBR audited in 2011 never responded within 30 days. Drift's 2017 test of 433 B2B SaaS companies found 55% had not responded after five business days. The gap between those figures is largely sample and window: HBR allowed 30 days and audited across industries; Drift allowed five business days in one sector.

Where does the 78% statistic come from?

Nowhere we could establish. It is credited to a "Lead Connect survey" with no published report, methodology, sample or date. We would recommend against citing it, and it is worth checking whether pages you link to are resting on it.

Methodology

This page aggregates published third-party research. It does not present original CueFully data. Every figure was retrieved from the publishing organisation's own document on 10 September 2026 and is attributed with its stated basis:

• Oldroyd / InsideSales.com, "Lead Response Management," presented 16 October 2007 at MarketingSherpa's B2B Demand Generation Summit — read in both the 7-page executive summary and the 35-page report. Part 1: a Kellogg survey of 495 companies, June–September 2007. Part 2: an MIT behavioural study of 3 years of data across six companies, 15,000+ leads and 100,000+ call attempts, drawn from the InsideSales.com system. Explicitly excludes close ratios.
• Harvard Business Review, March 2011 — Oldroyd, McElheran and Elkington, "The Short Life of Online Sales Leads." An audit of 2,241 US companies, plus a separate analysis of 1.25 million leads at 29 B2C and 13 B2B firms. The 42-hour average covers only companies responding within 30 days.
• Velocify, "The Ultimate Contact Strategy" (c. 2013) — approximately 3.5 million leads from 400+ companies; reports a 391% conversion increase for calls placed within one minute, and that 93% of leads which converted were reached within six call attempts. Vendor platform data with a stated basis.
• Drift, February 2017 — "Is Your Lead Management Leaking? Testing 433 Companies." Secret-shopper form submissions to 433 B2B SaaS companies.
• XANT Lead Response Report, 2021 — 55 million sales activities at 400+ companies, 5.7 million inbound leads, three years of data updated with 2020. XANT is InsideSales.com renamed; the report updates its own 2014 edition.
• Zuko — web form view-to-completion rate, aggregated across its customer base of live forms. Referenced as 2025 data; Zuko does not publish a sample size for this dataset.

Figures widely attributed to these organisations that do not appear in their own publications are listed under numbers this category gets wrong rather than reproduced.

Corrections welcome. If you publish one of these datasets and a figure here misstates it, the page will be updated and the correction noted.

Related reading: form abandonment statistics, checked at the source · how to build a lead generation funnel · lead capture software by category · booking funnels that reduce no-shows