One hour late = 46% fewer hires: what the Fiverr / Management Science study means off-platform

The headline number is 46%. A Management Science study of more than 11 million Fiverr transactions, reported by Entrepreneur on 16 July 2026, found that a one-hour delay in replying cut a freelancer's chances of being hired by 46% on average¹. At 24 hours or more, the freelancer was 90% less likely to win the job than a competitor who replied immediately¹.

The usable number for an off-platform business is harder to state. Fiverr shows buyers a response-time badge and puts competing sellers on one screen. A consultant's Gmail, a venue's contact form and a photographer's listing emails have neither. This piece separates what the study measured from what it implies, slices it against five other datasets with their denominators, and ends with a worksheet for measuring your own reply times.

What did the Fiverr response-time study find?#

The Fiverr response-time study, as reported, has two parts with two different denominators. Each answers a different question.

Source: Entrepreneur's coverage¹. The paper itself was not read for this article; the coverage does not name its authors.

Three wording details matter before anyone repeats the figure. The 46% is a fall in hiring chances, not a fall in revenue. The 90% is relative to competitors who replied immediately, not relative to a one-hour reply. And the coverage phrases the one-hour finding once as "when recruiters delayed their response," then describes freelancers' delays everywhere else¹. The paper should settle which side's delay the 46% measures. Until it is read, quote the number as Entrepreneur's reporting of the paper.

Why the 46% is not your number#

The 46% describes a marketplace, and marketplaces change the base rate of comparison. On Fiverr, a buyer can see several sellers at once, see how fast each one typically answers, and message three of them in a minute. Delay is visible, and the alternative is one click away.

Off-platform, the comparison is still there but hidden. A couple sends the same inquiry to several vendors; WeddingPro reports couples reach out to 5 vendors per category on average³. A homeowner asks three plumbers. A founder emails two consultants. The customer still ranks replies by arrival, but nobody shows a badge, and the business never learns it lost on speed.

That difference cuts both ways. The penalty per hour may be smaller off-platform, because customers are not staring at a ranked list. Or it may be larger, because an off-platform business has no badge to earn trust before the first reply arrives. Neither direction has been measured for email and form inquiries. What has been measured is how slow those replies usually are.

How fast do businesses actually reply, by channel?#

Reply-time data for small businesses exists in five recent datasets. Each comes from a different channel, sample and year, and none is the same population as Fiverr.

Dataset	Denominator	Speed finding	What it does not show
Management Science, Fiverr1	11M+ transactions; 8,600+ experiment participants	1 h delay: −46% hiring chances. 24 h+: −90% vs immediate.	Off-platform effect; paper not read directly
Thumbtack Pro Summit, Nov 20252	Thumbtack platform data (size not stated)	Replying within 30 min: "25% more likely to get hired" than within 3 h	Sample size; effect beyond 3 h
WeddingPro, "From Hello to Hired"3	The Knot / WeddingWire platform data (size not stated)	Reply in under 3 h: couples 2.2× more likely to reply	Bookings (measures replies, not hires); date undated
Leadferno, Jun 20244	225 small-business website contact forms, tracked 3 weeks	42.6% got no response; first human reply averaged 17 h 49 m	Median; outcome of the inquiry
DelPrete, Aug 20245	100+ secret shops, 25+ real-estate brokerages	47% unanswered; average 8 h 17 m, median 39 min	Small-business services outside real estate
Jobber, 20266	1,050 US home-service owners (survey)	20% of pros say they reply within the hour; over 70% of owners say customers expect same-day	Measured reply times (self-reported)

Read across rows for direction, not for a single effect size. Only Fiverr and Thumbtack measure hiring; WeddingPro measures replies; Leadferno, DelPrete and Jobber measure speed without outcomes.

Two patterns survive the change of population. First, every dataset that links speed to an outcome points the same way: faster replies win more. Second, the businesses measured off-platform are slow. Leadferno's average first human reply of 17 hours 49 minutes⁴ sits closer to Fiverr's 24-hour penalty zone than to its one-hour zone.

Why the median and the average disagree#

DelPrete's real-estate shop is the clearest case of an average hiding a split. The median reply came in 39 minutes; the average was 8 hours 17 minutes⁵. That gap means most inquiries were answered fast and a long tail waited many hours, on top of the 47% that were never answered at all⁵.

The tail is where the Fiverr curve bites. A business with a fast median and a slow p90 loses the inquiries that arrive at 9 p.m., on Saturdays, or during a job. Leadferno reported an average without a median⁴, so its distribution is unknown. Your own inbox can tell you both.

What else could explain the speed effect?#

Speed correlates with several things that also win work, and observational data cannot fully separate them. Four confounding variables deserve a name.

• Availability. A freelancer who replies in ten minutes may simply have capacity. Buyers may be choosing open calendars, with speed as the visible proxy.
• Platform ranking. A marketplace may use responsiveness when it decides which sellers to show. If faster sellers are also shown more prominently, part of the measured effect is placement, not the buyer's preference.
• Seller quality. Organised sellers reply fast and also write better proposals. The ratings comparison in the coverage controls for some of this¹, but ratings are a coarse measure.
• Buyer urgency. Urgent buyers hire whoever answers first; patient buyers wait. The penalty may be concentrated in urgent jobs.

The 8,600-person experiment addresses the second and third problems, because participants chose between hypothetical sellers with assigned ratings and assigned speeds¹. It does not address stated versus real behaviour: choosing a caterer in a survey costs nothing.

Owner reports add a fifth caution. Speed is necessary, not sufficient. In an r/Thumbtack thread titled "Is thumbtack for pros a scam" (60+ comments), one pro describes "responding to 49 leads (all within minutes…)" and still questions the return. In r/WeddingPhotography, a thread asking "Has writing back to leads ASAP made a significant difference?" (40+ comments, about a year old) includes the reply that "It takes about two minutes to respond to an inquiry," with commenters split on how much speed alone decides a booking. A fast reply that does not answer the question, or never follows up, still loses.

How to measure your own reply time (p50, p90, and the 24-hour share)#

Your own reply-time distribution is the only number that applies to your business. Three figures describe it well enough to act on, and an afternoon with your sent folder will produce them.

1. Pull 30–50 recent inquiries. Use every channel that lands in email: contact form notifications, direct emails, listing and marketplace lead emails. Note the received time of each.
2. Record the first real reply time. Count only a reply a person or system sent that answers the question. An auto-acknowledgement does not count; Leadferno found 15.6% of forms sent one⁴.
3. Mark the never-answered ones. Keep them in the denominator. Leaving them out is selection bias, and it flatters every average.
4. Compute three numbers. The median (p50) reply time, the 90th-percentile (p90) reply time, and the share answered after 24 hours or never.
5. Split by arrival time. Repeat the three numbers for inquiries that arrived outside your working hours. The split usually explains the tail.

Read the result against the cohort table. A p50 under an hour with a p90 of two days is DelPrete's shape⁵: fast most of the time, absent when it matters. A 24-hour-or-never share above a third puts a large slice of your inquiries in the zone where the Fiverr coverage reports a 90% penalty¹, if anything like that curve applies off-platform.

What would change this conclusion?#

The conclusion here is narrow: off-platform businesses are slow enough that a Fiverr-shaped penalty, at any fraction of its reported size, would cost them work. Three findings would weaken it.

• The paper says something different from the coverage. If the 46% turns out to measure buyer delays, or a narrow job category, the headline should be retired. The coverage states the preference "applies across all job categories on the platform"¹; the paper should confirm it.
• Off-platform data shows a flat curve. If a measured sample of email and form inquiries showed similar booking rates at one hour and at one day, the marketplace effect would not travel. No such dataset has been published.
• The effect is mostly placement. If platform ranking explains most of the gap, the off-platform penalty would be smaller, because there is no ranking to lose.

Until one of those appears, the decision consequence is modest and cheap: measure your p90 and your 24-hour share, and shorten the tail before you work on the median. For where older, widely quoted speed statistics came from, see lead-response statistics, traced; for checking your forms and inbox end to end, see the Lost Lead Audit.

How we got this: the Fiverr figures come from Entrepreneur's 16 July 2026 article, re-read on 1 October 2026; the Management Science paper itself was not available to us. Other rows come from the primary pages listed in the sources, with sample sizes as each publisher states them. No Valet data is used in this article.

Where Valet fits#

Valet answers email, website-form and listing inquiries from the owner's own price list, packages, calendar and policies, offers real times from the calendar, and holds them. Anything not on the list, and anything about money, complaints or contracts, waits for the owner, and the customer is told when the owner will reply. Every inquiry moves through the Valet Inquiry States, and every reply comes with a time-stamped Valet receipt showing what was asked, the rule used and the sources used. That makes the time to first answer measurable per inquiry. Valet has not published this figure; it is something Valet could measure from free lead checks, with owners' consent.

To see your own p50, p90 and 24-hour share without the spreadsheet, the free lead check takes 10–20 recent inquiries and shows what went unanswered, what stopped after one reply, and what it was worth.