The lead-response numbers everyone quotes measure something else

Short answer. The famous speed-to-lead figures are real. They come from a 2007 analysis and a 2011 Harvard Business Review study, and both measured whether a company reached and qualified a lead, not whether it sold anything. Answering fast buys you the conversation. What happens in that conversation still decides the sale.

Search for lead response time and the same numbers come back on every page. Reply within five minutes and you are 100 times better off. Twenty-one times more likely to convert. Seven times, sixty times, forty-two hours, twenty-three percent.

They are not made up. Two real studies produced them, and the samples are substantial. The problem is quieter than fabrication: the studies measured one thing and the industry sells another.

What do the studies actually say?

Two studies carry the whole category, and both are older than most of the software sold on the back of them.

The first is the Lead Response Management Study, run by James Oldroyd with InsideSales.com and dated 2007. It examined roughly six companies, more than 15,000 web-generated leads and more than 100,000 call attempts, looking at the gap between a lead arriving and the first dial. Calling within five minutes was associated with around 100 times greater odds of making contact than calling after thirty minutes, and around 21 times greater odds of qualifying the lead.

The second is "The Short Life of Online Sales Leads" by Oldroyd, McElheran and Elkington, published in Harvard Business Review in March 2011. It has two parts. The researchers submitted test leads to 2,241 US companies and timed the replies: 37% answered within an hour, 23% never answered at all, and among those who answered within thirty days the average took 42 hours. Separately they analysed 1.25 million leads across 42 companies, 29 of them consumer and 13 business. Companies attempting contact within an hour were nearly seven times more likely to qualify a lead than those waiting one more hour, and more than sixty times more likely than those waiting a day or longer.

Read those two paragraphs again and notice what is missing. Neither study reports a sale.

Why does qualification and not conversion matter?

Because they answer different questions, and only one of them is about money.

Qualification means someone picked up, a real conversation happened, and the person on the other end turned out to be worth talking to. Conversion means they bought. The studies measured the first. The pages quoting them usually say the second.

That last row is the one that travels furthest from its source. The 42 hours is not the average wait across all leads everywhere. It is the average among the audited companies that eventually replied, and it excludes the 23% who never did. The 23% is a share of companies failing to answer one test lead, not a share of leads.

A vendor prefers the looser word for an obvious reason. "Twenty-one times more qualified conversations" is a real benefit that a buyer has to think about. "Twenty-one times more conversions" sells itself.

How old is this evidence, and is there anything newer?

Nineteen years and fifteen years old respectively.

That would be fine if the finding were about something stable. Response speed probably is. But the category presents these numbers as current, and searching for a traceable primary study from 2023 onwards, with a disclosed sample and a stated method, turns up nothing. The recent pages repackage the old ones.

The clearest illustration sits at the top of the search results: an article titled "Lead Response Time Statistics (2026)" whose headline figures come from 2007.

None of that makes the old studies wrong. It does mean that a page confidently telling you what buyers do in 2026 may be quoting research conducted before the iPhone shipped, and is unlikely to say so.

So what does answering fast actually buy?

The conversation. That is worth buying, and it is a smaller claim than the one being sold.

Here is the mechanism the evidence supports. A person submits a form or sends a message while the problem is in front of them. Attention decays quickly and alternatives are one tab away. Reaching them inside that window is when contact is cheapest. Miss it, and you are not talking to the same person any more: you are interrupting someone who has moved on, possibly to a competitor who answered.

What the evidence does not support is the next step. Nothing in either study shows that speed closes deals. It shows that speed gets you into the room. A weak offer answered in ninety seconds is still a weak offer.

That distinction should change how you buy. A system that answers instantly is solving contact and qualification, which is a real and measurable problem for most companies. If a vendor tells you it will multiply your revenue, they are quoting a study that did not measure revenue.

The window matters here for a second reason the American studies never had to think about. In the Gulf the same enquiry arrives in Arabic, English or Russian depending on who sent it, and the person answering has to be able to continue in that language. The working week runs Monday to Friday for some companies and Sunday to Thursday for others, so "after hours" is not one thing. A buyer comparing three suppliers on a Friday afternoon is comparing whoever replies, and language plus calendar decide who that is before speed does. None of this appears in the 2007 or 2011 data, and neither study was run anywhere near this market, which is exactly why a borrowed benchmark is the wrong place to start.

What should you measure in your own funnel instead?

Three numbers, none of them borrowed.

1. Median and 90th-percentile first-response time. The median tells you the normal case. The 90th percentile tells you what happens at 6 p.m. on a Thursday, which is where the losses live. An average hides both.
2. Contact rate. Of the enquiries that arrived, what share reached an actual conversation? This is the metric the 2007 study was really about, and you can compute it from your own records this week.
3. Qualification rate. Of those conversations, what share were with someone who could plausibly buy? This is the metric that decides whether faster response is worth anything to you specifically.

Run those three for a month before and after any change. A borrowed benchmark is not a baseline, and your own contact rate is a fact rather than an argument.

If those numbers turn out to be fine, speed is not your problem, and you have saved yourself a purchase. If your 90th percentile is measured in hours and your contact rate is under half, you have found something the studies genuinely do speak to.

The useful version of the speed-to-lead argument is narrower than the one being marketed, and it survives scrutiny. That is worth more than a number that does not.