Quick answers: Where does the multiplier come from? · Is the rule still true? · What does the 80 percent claim measure? · What is a real-time lead worth? · Does it apply to calls?
Every vendor selling you speed quotes the same two numbers, and neither usually carries a date or a link. We went and found the source document. It is more careful than its retellings, and reading it changes what you should pay for speed.
Key numbers – The 21x figure was presented on 16 October 2007 at MarketingSherpa’s Business-to-Business Demand Generation Summit, according to the original InsideSales.com/MIT Lead Response Management deck. – It drew on six companies and over fifteen thousand leads, all from the sponsor’s own platform, and states plainly that “this study did not address close ratios”, according to that deck. – The 2011 follow-up is an article in Harvard Business Review, March 2011, co-authored by InsideSales.com’s chief executive, according to the Harvard Business School faculty record. – In twelve call centres run by a large US health insurer, 2.8% of callers abandoned the queue, according to Gans, Koole and Mandelbaum in Manufacturing & Service Operations Management.
Where the five-minute rule actually comes from
The document behind the folklore is a conference deck titled The InsideSales.com/MIT Lead Response Management Study. Its cover page says it was “originally presented by Dave Elkington, CEO InsideSales.com” and “James Oldroyd, PhD, Professor, Sloan School of Management, MIT” at MarketingSherpa’s fourth annual summit on 16 October 2007.
That authorship matters. The analyst was academic. The data, the funding and the presenting company came from InsideSales.com, a dialler vendor that sells software to make sales teams call faster.
The method section is blunt about its scope. According to the deck, the authors “examined 3 years of data across six companies,” covering “over fifteen thousand leads and over one hundred thousand call attempts,” taken “from the InsideSales.com system.”
The famous sentence reads, in the original: “The odds of qualifying a lead in 5 minutes versus 30 minutes drop 21 times.” The companion contact figure is a 100x drop across the same interval, according to that same page. So the number is real, and it is nineteen years old.
What the original said that the retellings deleted
The 2007 deck states three caveats on its face. The page now sitting at the study’s own canonical home, leadresponsemanagement.org, states none of them, and that site today sells online courses. We opened both on 13 August 2026 and put them side by side.
| The claim | What the 2007 deck states | What its canonical page states today | What the aggregators print |
|---|---|---|---|
| Date of the research | “October 16th, 2007”, on the cover slide | No date appears on the page | No date given, as on this roundup |
| Who ran it | An InsideSales.com CEO and an MIT Sloan professor, jointly | “Collaborating with Professor Oldroyd from MIT” | “MIT study”, or attributed outright to Harvard Business Review |
| What “contact” meant | A call of a set length that “was different for each company’s data ranging from 2 minutes to 6 minutes” | “A successful call that results in a conversation of a predetermined duration” | Not stated |
| What “qualify” meant | “Each company involved in the study had their own way to indicate a qualified lead” | “The stage where a lead shows willingness to enter the sales funnel” | Not stated |
| Whether it measured sales | “This study did not address close ratios” | Not stated | Quoted as proof that speed drives revenue |
Read the third and fourth rows again. The outcome was defined separately by each of the six companies. The threshold for a “contact” ranged from two minutes to six minutes, depending on whose data it was. That variance is what the retellings leave out, and their own column reads “Not stated” on both of those rows.
The last row should change your buying. The deck says it did not look at closed business. The roundups quote it as proof that speed drives revenue.
The 80 percent claim is the same deck, measuring something else
The second staple is not a second study either. It is the same 2007 deck, quoting a different metric.
Two sentences sit next to each other in that deck. According to the deck, contact odds “decrease by 5 times” between five and ten minutes, while “the dial to qualify odds decrease 4 times” across the very same interval. A fivefold fall is a drop of 80% and a fourfold fall is 75%, according to those two sentences.
So the eighty percent figure is real, and it describes reaching someone. The twenty-one figure describes qualifying them. They are different outcomes from one 2007 sample, and the decks that quote an eighty percent collapse in “conversions” have swapped the contact number in for the qualification one. That is the same population-and-metric error this article warns you about further down.
The companion claim that seventy-eight percent of buyers purchase from whoever answers first does not trace anywhere at all. Expertise AI’s teardown reports the figure is “attributed everywhere to a ‘Lead Connect survey’ that has no published methodology or original report,” and our own search hit the same dead end.
We could not verify the sample figures usually attached to the 2011 Harvard Business Review follow-up, because that article sits behind a paywall, so we do not repeat them. What we confirmed first-hand is its record: Harvard Business School lists it as an article in Harvard Business Review, March 2011, co-authored by David Elkington, according to the HBS faculty record. Elkington was InsideSales.com’s chief executive, so the “Harvard study” people cite has the vendor in its author line.
What the research actually models: patience, not a multiplier
There is rigorous independent work on how fast a person goes cold. It does not produce a single multiplier, and that is the point.
The standard review of the field defines the mechanism directly. According to Gans, Koole and Mandelbaum in Manufacturing & Service Operations Management, “patience is defined as the maximal amount of time that the customer is willing to wait for service; if not served within this time, he or she abandons.”
Patience is a distribution, not a constant, and you estimate it from your own traffic. Avishai Mandelbaum’s service engineering course at the Technion gives it an entire lecture of its own.
Measured values vary by population. According to that same review, twelve call centres run by a large US health insurer saw 2.8% of callers abandon. Best-practice centres range “from the negligible to a mere 1-2%,” according to the same paper. A health insurance buyer and a solar buyer do not share a patience curve. Neither shares one with six software companies in 2007.
What faster response is worth per lead
Here is the arithmetic the vendor decks skip. Speed does not change what a lead is worth. It changes how many you actually speak to, so price it per conversation, not per lead.
Your cost per conversation is the lead price divided by your contact rate. Faster delivery raises the contact rate, which lowers that cost. So the most you should rationally pay for a real-time lead is the delayed price multiplied by the ratio of the two contact rates.
The rule, written out: maximum sensible real-time price = delayed price × (real-time contact rate ÷ delayed contact rate).
The inputs below are illustrative. They are not Elevarus rates and not our operating results. Substitute your own vendor invoice and your own CRM contact-rate report.
| Delayed lead price | Delayed contact rate | Real-time contact rate | Break-even real-time price |
|---|---|---|---|
| $18 | 12% | 30% | $45 |
| $30 | 20% | 40% | $60 |
| $60 | 25% | 40% | $96 |
Read the first row. Apply the rule above to those illustrative inputs (source: your own invoice and CRM): a real-time lead lifting contact from 12% to 30% justifies paying up to $45 against an $18 aged lead. If a vendor quotes more, you are paying for speed you cannot convert.
Two disciplines make this real. State the population and the metric every time. A contact rate on form fills is not one on inbound calls, and cost per lead is not cost per conversation. We break that apart in our piece on pricing the screening behind HVAC live transfers. Then measure your own two contact rates before accepting anyone’s multiplier, this one included. The trade-off itself is covered in our aged versus real-time comparison.
Cite this data
Elevarus, “What the Speed to Lead Five-Minute Rule Is Actually Worth Per Lead,” 13 August 2026. Sources opened and traced: the InsideSales.com/MIT Lead Response Management deck (presented 16 October 2007); leadresponsemanagement.org’s current study page (read 13 August 2026); the Harvard Business School publication record for Oldroyd, McElheran and Elkington (March 2011); and Gans, Koole and Mandelbaum, Manufacturing & Service Operations Management 5:79-141 (2003).
Frequently Asked Questions
Where does the qualification multiplier come from?
A conference deck presented on 16 October 2007 by InsideSales.com’s chief executive and an MIT Sloan professor, drawn from six companies using InsideSales.com’s own platform, according to the deck itself. It is an odds ratio on qualification between a five-minute and a thirty-minute response.
Is the five-minute rule still true?
The direction is almost certainly right, because people go cold. The specific multiplier is unverified outside its 2007 sample, and no comparable open study has been published since. Treat it as an illustration of a real effect, not a measured constant for your market.
What does the 80 percent claim measure?
Reaching someone, not qualifying them. The 2007 deck states that between five and ten minutes, contact odds “decrease by 5 times” and “the dial to qualify odds decrease 4 times,” according to that deck. Converting those fold-changes gives a fall of 80% in contact odds and 75% in qualify odds. The deck itself prints the multiples, not the percentages, and these are odds, not conversion rates. Decks that present the eighty percent as lost conversions have swapped one metric for the other.
What is a real-time lead worth?
Multiply your delayed lead price by the ratio of your real-time contact rate to your delayed contact rate. That product is your ceiling. Above it, the speed costs more than the conversations it buys.
Does the rule apply to inbound calls?
Not the same way. The 2007 study measured outbound dials to web form fills. An inbound caller is already on the phone, so the relevant measure is queue abandonment, which independent research puts at 2.8% in one large health insurer’s centres, according to Gans, Koole and Mandelbaum.
Speed is worth paying for. It is not worth paying any price for, and a nineteen-year-old odds ratio from six companies is not a price. Work out your own two contact rates, put them in the ratio above, and you will know within an afternoon what a faster lead is worth to you. If you want a second read on whether a speed premium pencils in your vertical, talk to us about lead generation.
