Lead response time statistics, traced to source

Two real, separately-authored studies underpin almost everything written about lead response speed. One measured contact and qualification odds at 5-minute intervals; the other, four years later, audited how badly the average company actually performs. Both are real. Both are old. And almost nobody quoting either one gets the attribution right.

This page separates them, states what each one actually measured, and then goes further than most treatments of this topic: a 2024 replication of the 2011 audit in a different industry, a genuine five-year trend from 1,333 law firms, platform data on what happens when a form removes the human bottleneck entirely, and business owners' own account of the gap between what they think customers expect and what they say they deliver.

It also names the widely-repeated figures that don't survive a trace — including one, '391%', that turns out to be real but has had its scope stripped off it by a decade of repetition. This is the evidence base for the argument running through the site's FOUND → TRUSTED → CHOSEN framework: most local businesses buy FOUND and lose the money at CHOSEN.

How the grading works

The grading is deliberately unforgiving. A statistic from a good organisation still earns a C if the sample size is not published beside the number, because a reader cannot check what they cannot see.

The whole 'speed to lead' industry rests on one 2007 study

This is worth knowing before quoting it: the figure behind nearly every speed-to-lead argument on the internet is real, well-documented, and nineteen years old.

What this means for a business quoting this number today

The 100× figure is the strongest single piece of evidence that speed genuinely changes outcomes — the mechanism it demonstrates, that a lead's willingness to engage decays fast, has no obvious reason to have reversed since 2007.

What changed is everything downstream of the finding: B2B software leads called through a dialling platform in the mid-2000s are not the same population as a homeowner texting three plumbers from a driveway in 2026. Citing "100×" as proof that speed increases actual sales, rather than contact odds specifically, over-claims what a study of six companies can support.

The newer research further down this page retests the same underlying question against 2024 and 2025 data, in different industries — and the honest answer is mixed: measurably worse in one population, measurably better in another. It is also the stage of the customer journey this site's FOUND → TRUSTED → CHOSEN framework argues is most often paid for and least often measured.

A separate, larger 2011 audit measured how badly most companies actually do this

This is a different study from the one above, by an overlapping set of authors, and the two get merged into a single garbled claim constantly. They shouldn't be.

What this means fifteen years on

A 23% non-response rate in a 2011 audit reads like a historical curiosity until it's set against a differently-scoped but comparably designed 2024 study, further down this page, that found 63.5% of a fresh sample never responded to a submitted lead at all.

The two studies measured different industries under different conditions, so this isn't a controlled before-and-after — but the direction is consistent with the less reassuring reading: fifteen years of public warnings about response speed have not obviously produced an industry-wide fix. One sector further down this page did measurably improve over roughly the same period. It wasn't the one most people would guess.

The 2011 audit, effectively rerun in 2024 — and the numbers went the wrong way

A different research team, a different industry, thirteen years later: RevenueHero submitted genuine demo-request forms to 1,000 B2B SaaS company websites and timed what happened next. Close enough in method to the 2011 HBR audit to invite comparison, and different enough — a smaller, more recent sample, a different industry — that the comparison should be read as suggestive rather than a strict rerun of the same experiment.

Instantly (within about 2 minutes)

17.2 %

Within 1 hour

3.1 %

Within 1 day

10.9 %

Within 1 week

4.1 %

After 1 week

1.2 %

Never responded

63.5 %

Scale 0–100%. n=1,000 B2B SaaS company websites, mystery-shopper demo-request forms, March 2024. Source: RevenueHero, 'We Tested Lead Response Times of 1,000 B2B Sales Teams', 2024

What this means, set against the 2011 baseline

The 2011 HBR audit's 23% non-response rate was presented as a scandal at the time. A differently-scoped 2024 replication, in a different industry, found a non-response rate nearly three times that.

It would be a stretch to claim the two figures measure the same underlying decline — different sample, different sector, a different era of inbound volume — but it's fair to say that whatever pressure has been building on sales inboxes since 2011 (more forms, more automated marketing, more inbound competing for the same team's attention) has not obviously been offset by better process.

The automation finding is the more useful one operationally: an automated acknowledgement correlates with a genuine follow-up arriving roughly three times faster than when there's no automation at all.

That's not proof automation causes the improvement on its own — businesses that install automation may simply be the same businesses that already take response seriously — but it's the clearest actionable signal in this dataset, and it costs a fraction of what most local businesses spend acquiring the lead in the first place.

Our lead response and follow-up guide sets out what that acknowledgement sequence looks like in practice, and the cost-per-lead calculator puts a number on the acquisition spend a slow follow-up is wasting.

One industry has genuinely gotten faster — a five-year trend from 1,333 law firms shows both the improvement and its ceiling

Hennessey Digital, a legal marketing agency, has run the same mystery-shopper experiment against US law firm websites every year since 2021: submit a real inquiry through the firm's own contact form, between 10am and 12pm in the firm's local time zone, using a consistent method, and time what happens. Five years of an identical protocol against the same industry is rare enough in this category to be worth reading in full.

Metric	2021	2025
Responded within 5 minutes	13%	25%
Non-responsive (no contact within 7 days)	40%	26%
Responded within 7 days (any method)	59%	74%

Median response time held flat at 13 minutes across the comparison; the improvement shows up in how many firms respond at all and how many respond fast, not in the typical firm's speed once it does respond. Source: Hennessey Digital, 2025 Lead Form Response Time Study

What this means, including for the channel question

Five years of identical methodology is rare enough to trust the trend rather than any single year's headline number, and the trend here is genuinely encouraging: law firms as a group respond to more inquiries, and respond within five minutes more often, than they did in 2021.

What hasn't moved is the typical response once a firm does respond — the median has sat at 13 minutes across the whole comparison, which suggests the improvement is coming from firms fixing whether they respond, not from already-responsive firms getting faster still.

The same study also breaks down how firms make contact: 87% by phone, 67% by email, and only 5% by text (some firms use more than one channel on the same inquiry). That's a genuine, current data point on channel choice — and as far as this page's research turned up, close to the only rigorous one available.

Text messaging is widely claimed to produce faster responses and higher open rates than a phone call or email, and the claim is intuitively plausible, but no substantial study specifically measuring SMS response speed against phone-call response speed for local-business leads was identified in the sources reviewed on 8 September 2026.

The figures circulating for "SMS response time" turn out, on inspection, to be unattributed on the pages quoting them — the same failure pattern documented in the zombie statistics below.

The fix that actually closes the gap: remove the human being from the first response entirely

Every study above measures how slowly a human responds. Chili Piper's own platform data, drawn from nearly 4 million form submissions across its customer base, measures what happens when a form doesn't wait for a human at all — when the submission is met with an immediate, self-service booking option instead.

What this means for a local business without a SaaS-style booking stack

The specific 66.7% and 69.2% figures describe a B2B software buyer filling out a demo-request form, not a homeowner calling about a leaking pipe — but the underlying mechanism doesn't depend on the industry. Every study on this page, from the 2007 original onward, points at the same bottleneck: the gap between a prospect deciding to act and a human being available to respond.

Self-scheduling and live-call options are two different ways of shrinking that gap to zero without needing a person watching an inbox at the exact right moment, and the cost-per-lead data on this site already shows how much a local business spends generating the enquiry that a slow follow-up then wastes. Our website conversion guide covers where those booking and call options sit on a local business site.

This is also where the industry's current enthusiasm for AI-driven instant response — AI answering services, AI chat widgets, automated SMS follow-up — sits: both ServiceTitan and Podium launched dedicated AI-agent products for exactly this use case in August 2026, which says something about where the industry believes the money is.

What it doesn't yet have is independent evidence. No substantial, sampled study specifically measuring how an AI chatbot or AI voice agent performs against a human response, for local-service leads, was identified in the sources reviewed on 8 September 2026. The vendor claims already in circulation — a chatbot "improving conversion by 23%", or similar figures — trace to marketing pages and small, undisclosed samples rather than anything with a published methodology this page could verify.

That absence is worth stating plainly on a page that exists to measure exactly this: the fastest-growing part of this category is also its least independently measured.

Home-service owners say customers expect an hour. By their own reporting, most don't deliver it.

This is the one dataset on this page that measures the gap from the inside — not an outside audit of response times, but 1,050 home-service business owners describing what they believe their own customers expect, and what they say their business actually does. Reading the two figures side by side is more useful than either alone.

Industry	Respond within 1 hour
Cleaning	26%
Electrical	21%
Tree care	21%
HVAC	11%

Jobber names only these four trades individually for the one-hour benchmark; plumbing, roofing, lawn care and general contracting sit within the survey's overall 1,050-owner sample but aren't broken out for this specific measure. Source: Jobber, Blue Collar Strong: The 2026 Home Service Trends Report

What this means, including for after-hours and weekend leads

By these business owners' own account, the gap between what they think a customer wants and what they say they deliver is not small: a majority believe an hour is the expected bar, and only one in five say they clear it.

HVAC's 11% is worth sitting with given how often an HVAC enquiry is a same-day emergency rather than a considered purchase — the trade with arguably the most time-sensitive demand also reports the slowest response of the four named here.

One adjacent question this page's research could not answer with the same confidence: how much of that gap concentrates outside business hours. Figures claiming a specific share of home-service leads arrive after 5pm or on weekends, with a specific contact-rate penalty attached, circulate widely — but every version traced back for this page led to a marketing-agency blog post citing no working link to a primary source, the same pattern documented in the zombie statistics below.

This site's call-tracking statistics do show that 85% of callers whose call goes unanswered simply don't call back, which is adjacent evidence that an unanswered after-hours call is a real cost — just not, yet, a dated benchmark for how often that specific call happens. The lead value calculator is the quickest way to convert that into what a single unanswered enquiry is worth to a particular business.

No substantial study segmenting lead response time by day of week or business hours, with a published sample and method, was identified in the sources reviewed on 8 September 2026.

What the evidence covers

Most of the evidence on this page describes US businesses — B2B software companies in 2007 and 2024, US law firms, a predominantly North American home-services survey base. That is a different buying context, a different set of communication channels, and in the oldest cases a different decade from a local service business in 2026 fielding calls, forms and WhatsApp messages.

No published study specifically measuring local-business lead response times outside the United States, in the current mobile- and messaging-dominant environment, was identified in the sources reviewed on 8 September 2026. Closing that gap with a proper local-business field study is part of this site's own research programme.

The numbers that did not survive the trace

These appear in current statistics roundups. Each one fails on provenance, and quoting them transfers the failure to you.

How this page is made and how to cite it

Every figure on this page was traced to its original publication — the 2007 study has a public methodology PDF, the 2011 HBR article is directly accessible, and the newer 2024–2026 sources were fetched and checked directly rather than taken from a roundup quoting them, in line with our research methodology.

The zombie section documents, specifically, how a real study can still end up unciteable once its scope and attribution are stripped off by years of repetition.

Last verified: 8 September 2026. Reviewed quarterly, and re-checked in full whenever a newer named study on this topic surfaces.

Preferred citation Parashar, S. (2026). Lead response time statistics, traced to source. shrutiparashar.com/statistics/lead-response-time/

Questions

Is the '100x more likely to qualify a lead' statistic real?

The 100x figure is real, but it measures contact rate, not qualification, and comes from a 2007 study of 6 companies by researchers working with InsideSales.com (15,000+ leads, 100,000+ call attempts) — not a Harvard Business Review study of 'thousands of companies' as it's usually described. A separate, later HBR audit of 2,241 companies found different figures: a 42-hour average response time and a 23% non-response rate. Almost every site quoting '100x, per HBR' has conflated these two distinct studies.

How long does the average business take to respond to a lead?

In the most-cited historical audit, 42 hours on average, with 23% of the 2,241 companies studied never responding at all (Oldroyd, McElheran and Elkington, Harvard Business Review, 2011). A differently-scoped 2024 replication tested 1,000 B2B SaaS companies with genuine demo-request forms and found an even higher non-response rate — 63.5% never responded, and the 365 that did took an average of just over a day (RevenueHero, 2024). The two studies measure different industries and can't be read as one continuous trend line, but neither supports the idea that this problem has been solved since 2011.

Does responding within 5 minutes actually improve sales, not just contact rates?

The foundational 2007 study explicitly measured contact rate and lead qualification, not close rate — it did not claim that faster response increases actual sales, only that it increases the odds of reaching the lead and moving it into the sales process. Any claim that 5-minute response directly drives more closed business is an extrapolation beyond what this specific study measured, even though it's a reasonable one.

Do law firms respond to leads faster than other industries?

By the only five-year, consistently-run study available, they've genuinely improved: Hennessey Digital's mystery-shopper research on 1,333 US law firms found the share responding within 5 minutes rose from 13% in 2021 to 25% in 2025, and the non-response rate fell from 40% to 26% over the same period. The median response time held flat at 13 minutes across the comparison, so the improvement is coming from more firms responding at all, not from already-fast firms getting faster. One in four firms still doesn't respond within a week.

Does adding instant self-scheduling to a lead form actually increase conversions?

In Chili Piper's analysis of nearly 4 million form submissions across its customer base, form-to-booked-meeting conversion rose from a roughly 30% industry average without self-scheduling to 66.7% with it, and to 69.2% when a live-call option was offered alongside scheduling. Chili Piper sells this technology, and the report doesn't disclose how many distinct companies sit behind the 4 million submissions — but the direction is corroborated independently by RevenueHero's finding that automated first responses correlate with a genuine follow-up arriving roughly three times faster than manual-only response.

Is the '391% increase from responding in the first minute' statistic real?

The underlying study appears to be real — Velocify's 'The Ultimate Contact Strategy', roughly 3.5 million leads across 400+ companies, published around 2013 — but Velocify's own site is gone, no surviving copy of the report was located, and none of the current sites repeating '391%' state which industry it covered or what the exact comparison baseline was. Even Chili Piper's own 2025 report, which otherwise discloses its methodology in detail, repeats the figure with no attribution at all. A real number can still be unciteable once a decade of repetition has stripped its scope off it — see the zombie statistics section on this page for the full trace.

Is the claim that ServiceTitan measured a 42-minute average home-services response time real?

No working source was found. The figures '42-minute average response time', '28% conversion' and '62% conversion for 2-minute response' circulate attributed to 'ServiceTitan's 2025 Home Services Benchmark Report', but no report matching that description exists on servicetitan.com, and the marketing-agency articles repeating the figures cite no working link to it — only each other. A related untraceable claim, '78% of customers hire the first responder', circulates attributed to a 'Podium Home Services Report, 2026' with the same problem. Treat both as unverified.

Do AI chatbots and instant-response tools actually improve lead response benchmarks?

The mechanism is plausible and the investment is real — ServiceTitan and Podium both launched dedicated AI-agent products for home-services lead response in August 2026 — but no substantial, sampled study specifically measuring AI chatbot or AI voice-agent performance against human response, for local-service leads, was identified in the sources reviewed on 8 September 2026. Vendor claims already in circulation, such as a chatbot 'improving conversion by 23%', trace to marketing pages and undisclosed samples rather than a published, checkable methodology. This is one of the fastest-growing parts of the category and currently one of its least independently measured.

Is text messaging a faster way to respond to a lead than a phone call?

Plausibly, but no substantial study specifically measuring SMS response speed against phone-call response speed for local-business leads was identified in the sources reviewed on 8 September 2026 — the 'SMS response time' figures circulating online turn out to be unattributed on the pages quoting them. The one rigorous, current data point available on channel choice comes from Hennessey Digital's law-firm study: firms that did respond made contact by phone 87% of the time, email 67%, and text only 5% (some used more than one channel), which describes what firms currently do, not which channel is fastest.

What response time do home-service customers actually expect?

By business owners' own reporting, over 55% believe customers expect a response within the hour, including 28% who believe customers expect an immediate reply (Jobber, Blue Collar Strong: The 2026 Home Service Trends Report, 1,050 owners surveyed). This describes owner perception, not a direct customer survey — Jobber's report doesn't include one. By the same owners' account, only 20% say they actually respond within the hour, and the gap varies by trade: 26% of cleaning businesses hit the one-hour mark against 11% of HVAC businesses, the slowest of the four trades named individually in the report.

Does lead response time vary by day of week or after hours?

Almost certainly, but no substantial study segmenting lead response time by day of week or business hours, with a published sample and method, was identified in the sources reviewed on 8 September 2026 — every after-hours or weekend-specific figure traced for this page led back to a marketing-agency blog post with no working citation. The closest verified adjacent evidence is that 85% of callers whose call goes unanswered simply don't call back (CallRail), which supports treating a missed after-hours call as a real cost, without yet supplying a dated benchmark for how often it happens.

Related reading: how provenance is judged here , Local SEO statistics , Local business website statistics , local lead generation statistics , call tracking statistics , our lead response and follow-up guide .

This is one page of a graded statistics library that also names the 68 widely repeated claims it could not trace.