Lead response time: the data from 100+ businesses in Israel

Lead response time: the data from 100+ businesses in Israel

In most businesses, lead response time is measured in hours, sometimes in days: the most comprehensive study in the field (HBR, 2,241 companies) found an average of 42 hours, with 23% never answering at all. Across 100+ businesses running AI-managed sales with Upperfloor, the picture is inverted: about 92% of inquiries are answered in under a minute, with a typical close time of about 4 hours from first inquiry to a rep-ready lead, or a closed deal.

If you have ever searched for how fast to get back to a lead, you have met the same numbers: "78% of deals go to whoever answers first," "17x," "a Harvard study." Some are garbled; some have no source at all. In this article we did two things. First, we went back to the primary studies and checked what they actually say. Second, we opened our own data, drawn from about 15,000 conversations a week across 100+ businesses in Israel whose sales are AI-managed. Not a "market average," but an answer to a different question: what response time looks like when a system manages the path.

The numbers everyone quotes, and what the studies actually say

Almost every number quoted in this field comes from two studies, and both trace back to one researcher: Dr. James Oldroyd. Everything else is mostly quotes-of-quotes that lost the original numbers along the way, and sometimes the source too.

What the Harvard Business Review study actually found

In March 2011, Oldroyd, Kristina McElheran and David Elkington published an article in Harvard Business Review called The Short Life of Online Sales Leads. It describes an analysis of 1.25 million leads across 42 US companies (29 B2C and 13 B2B), with two findings that became classics:

• Businesses that contacted the lead within one hour were almost 7x more likely to have a meaningful conversation with the decision maker, compared to businesses that made contact even one hour later.
• Against businesses that waited 24 hours or more, the gap grew to more than 60x.

What the study does not say matters just as much: it contains no finding about "the share of deals that goes to whoever answers first," and it never tested windows shorter than an hour. Any version that attributes 5-minute numbers to "Harvard" is mixing it up with a different study, the next one on this list.

What the MIT and InsideSales study actually found

In 2007, before the HBR article, Oldroyd, then a researcher at MIT, led the Lead Response Management study together with InsideSales.com. This is the true source of the minute-scale numbers:

• The odds of making contact with a lead drop 100x between answering within 5 minutes and answering within 30.
• The odds of qualifying the lead, having the conversation that moves it into a real opportunity, drop 21x in the same window.

This is the study repeatedly quoted as "the Harvard study," in error. And the numbers get scrambled along the way: "17x," "5 vs. 10 minutes," and other variants that appear nowhere in the original document.

The number with no source: "78% of deals go to whoever answers first"

This is among the most quoted figures in the field, in Hebrew and in English, and it is the only one here we could not trace to a primary source. It does not appear in the HBR article. It does not appear in the MIT/InsideSales study it is usually attributed to. There is no accessible document defining what was even counted ("deals"? "customers"?), what the sample size was, or what the methodology looked like. Google's Hebrew AI Overview repeats it as fact, with a mistaken attribution to "an MIT study."

That does not mean the first reply is unimportant, the verified numbers above say exactly that it is. It means that when you hear "78%," you are hearing marketing folklore. The ladder you can actually stand behind is 7x · 21x · 60x+, each number with a source.

The baseline: how fast businesses really answer

Against the decay curve of the first minutes, here is what has been measured in the field.

The same 2011 HBR article also describes a separate test: the researchers sent a test lead to 2,241 US companies and measured how long each took to respond.

• 37% answered within an hour.
• 16% answered between one hour and 24 hours.
• 24% answered after more than a day.
• 23% never answered.
• Average response time, among companies that answered within 30 days: 42 hours.

Five years later, XANT (the later name of InsideSales.com) published a Response Audit of its own (2016), reporting an average phone response time of about 44 hours, with only 4.7% of companies responding within a 5-minute window. A caveat is due: the published document does not specify the sample size, so it is best read as an indication consistent with the HBR findings, not as a controlled result at the same level.

And outside the B2B world: a 2019 test by ConXpros, which contacted 466 US home-services companies, found that only 60% responded to an inquiry within five days. The slowest measured response: five days and 19 hours.

Why is this gap so stubborn? Because it is structural, not a matter of laziness. Inbound inquiries spread across the whole day, and the team works defined hours. The person who should answer is mid-call, in a meeting, or on the road. And in many businesses there is no clear ownership: the lead lands in a shared inbox, everyone is sure someone else will handle it, and by the time anyone is free, it "wasn't serious anyway." No amount of determination closes the gap between demand that runs 24/7 and a team that runs 9:00-18:00.

In Israel the picture is even sharper, because most inquiries arrive on WhatsApp, a channel where the expectation is chat pace, not "we'll get back to you shortly." But there is no equivalent public Israeli figure: we found no published Israeli response audit with a methodology. The data below fills that gap from a different direction: not "the market average," but what response times look like when sales are managed.

Why a fast reply alone doesn't move the needle

From the numbers above it is easy to draw a simple conclusion: answer faster. But speed is only the first measurable symptom of a wider problem.

A lead that got a reply within a minute, then waited two days for a follow-up that never came, was asked the same questions again, or was handed to a rep who knew nothing about the conversation, leaks out of the funnel exactly like a lead nobody answered. A reply is not a close. Between the first inquiry and the deal there is a whole path: need discovery, objections, scheduling, a decision. The real question is not just how fast you answer, but who manages that path.

Around Oldroyd's studies an entire "speed to lead" industry has grown: alerts, automatic routing, canned replies. These tools solve the first minute, and that matters. But the first minute is the start of the path, not the path: as the data below shows, a lead takes almost eight interactions on average to mature to a close. Who holds the next seven?

And that is usually the missing part. In most businesses the information is scattered, some in WhatsApp, some in the CRM, some in a rep's head. The customer conversations already tell the story of the sales: who is serious, who is hesitating, who is waiting to hear back, and where the deal is stuck. But the information is buried inside the conversations, and nobody sees it as one picture. There is plenty of activity; there is no system managing the path. The fast reply fails for the same reason the follow-up fails, nobody holds the sequence.

This is what managed sales look like: the data from 100+ businesses in Israel

The following data was measured in Upperfloor's system, proven with over 100 business owners in Israel, on a base of about 15,000 conversations a week: on WhatsApp, the core channel, alongside Instagram, Messenger and TikTok. And the framing matters: this is not "the Israeli market average." This is what gets measured when the sales operation is managed by an AI system that holds the sequence.

The data is aggregate for July 2025 through July 2026.

About 64% of inquiries arrive outside business hours, including about 31% in the evening and at night and about 19% on weekends. In the context of lead response time, this is the most important number of all: most leads are created exactly when there is no one to answer them. A business that answers "fast" during working hours still misses most of Oldroyd's windows of opportunity.

About 92% of conversations get a first reply in under a minute, and about 81%, in under 15 seconds. On Friday night, on a holiday. When the first reply does not depend on a human being available, the decay curve of the first minutes simply stops being fate.

Typical close time: about 4 hours from the first inquiry to a closed loop, a lead that completed full need discovery and was handed to a rep ready to close, or a deal that closed. Against a baseline of 42-44 hours just to a first response, the comparison is not "faster," it is a different order of magnitude.

To a rep-ready lead: 7.8 interactions on average (median: 6). This number explains why speed alone is not enough: the path to close is not one message but a sequence of questions, clarifications and follow-ups, and that is exactly the sequence that breaks when nobody holds it across hours and days.

10-20% of deals close autonomously end to end, including payment. 80-90% are handed to a rep ready to close. The AI holds the sequence. A human steps in at the points where they truly create value.

Behind these numbers there is no magic, only calibration: every agent is deeply calibrated to its market and sharpens with every conversation, built from the data of over 100 businesses and learning what moves your customers. So these are not one-off peaks; this is the system's working routine.

What this means for your business

Three diagnostic questions any business owner can ask today:

1. When was the last inquiry that arrived after 7 PM answered? If the answer is "the next morning," per the data above, most of the window of opportunity was already lost. And about 64% of inquiries, remember, arrive exactly in those hours.
2. How many follow-ups did your last unresponsive lead get? If there is no precise answer, the follow-up depends on human memory, and human memory is exactly where leads leak.
3. Where do your ten most important open deals stand, right now? If you have to ask the team, the information exists, but it is buried in conversations and not visible as one picture.

And if you want to start measuring, three metrics worth tracking before changing anything: time to first reply (including evening and weekend inquiries, not just business hours), actual follow-up count for a lead that did not answer, and loop-closing time, how long passes from the first inquiry until the lead is ready to decide or closed. All three can be measured from the conversations you already have; in most businesses nobody simply looks at them as one picture.

The point is not to work harder. A reply in under a minute, follow-ups that are never forgotten and a sequence that holds across days are not a feat of willpower, they are the product of a system. Not a CRM that waits for you to update it. A system that manages what happens next.

That is what a managed AI sales system does: it brings the conversations from every channel into one place, answers every inquiry the moment it arrives, runs the conversation by context, executes the follow-ups, and hands the rep a ready-to-close lead, with full context. Upperfloor. The path to close. Managed.

Frequently asked questions

How fast should you get back to a lead? The research points to the first minutes: the odds of qualifying a lead drop 21x between answering within 5 minutes and answering within 30 (the MIT/InsideSales study, 2007), and answering within the hour makes a meaningful conversation almost 7x more likely than waiting any longer (HBR, 2011).

What is the average lead response time for businesses? A study published in Harvard Business Review (2011) tested 2,241 companies and found an average response time of 42 hours among those that answered at all, with 23% never answering. A 2016 XANT response audit found a similar average, about 44 hours for a phone response.

Do 78% of deals really go to whoever answers first? That figure has no primary source. It appears neither in the HBR article nor in the MIT/InsideSales study it is usually attributed to. The numbers that are verified at the source: 7x (answering within the hour), 21x (5 vs. 30 minutes), 60x+ (an hour vs. a day).

How long does a lead stay relevant? The window of opportunity is measured in minutes and hours, not days: per the data published in HBR, after one hour the odds of a meaningful conversation drop almost 7x, and after a day, more than 60x.

How do you answer every inquiry fast without growing the team? When an AI agent holds the first reply and the sequence, follow-ups, need discovery, scheduling, the team steps in only for mature conversations. Across 100+ businesses working this way with Upperfloor, about 92% of inquiries are answered in under a minute, independent of the team's working hours.