What the speed-to-lead research actually found

If you have read anything about lead response, you have seen the claim that calling a lead in 5 minutes instead of 30 makes you 100 times more likely to reach them. It usually gets credited to Harvard. That is only partly right, and the details matter if you are deciding how to run your phones.

There are two separate studies, both involving James Oldroyd, an academic, and Dave Elkington, then CEO of InsideSales.com, which sold lead response software. Here is what each found and what it does not prove.

Study one: the 2007 "Lead Response Management" study

This one was a conference presentation, not a journal paper. Elkington and Oldroyd (listed as a professor at MIT's Sloan School of Management) presented it at MarketingSherpa's B2B Demand Generation Summit on October 16, 2007.

The data came from the InsideSales.com system: three years of records from six companies, covering more than 15,000 web leads and more than 100,000 call attempts. The study looked only at leads that came in through a web form and got at least one call.

The headline findings, as the study itself words them:

The odds of contacting a lead dropped 100 times when the first call came at 30 minutes instead of 5.
The odds of qualifying a lead dropped 21 times over the same gap.
Going from 5 minutes to 10 minutes alone cut the odds of contact by 5 times and the odds of qualifying by 4 times.
Over the first hour, contact odds fell more than 10 times and qualify odds more than 6 times.
After 20 hours, the authors found that each additional dial actually hurt the chance of qualifying the lead.

Two lines in the study are easy to miss. It says plainly that it "did not address close ratios." And each company used its own definition of a qualified lead.

The study also includes a small test that I find more telling than the odds ratios. The company's president filled out a mortgage quote form with a lead provider. He got 7 calls. The first came in 30 minutes. The last came 3 days later. The same lead had been sold to several buyers, and they were racing each other.

Study two: "The Short Life of Online Sales Leads," HBR, March 2011

This is the Harvard Business Review article, by James B. Oldroyd, Kristina McElheran and David Elkington. The full text is behind HBR's paywall, so I am relying on a summary published by SmartCompany in July 2011 for the figures below.

The authors audited 2,241 US companies by submitting a web form as a test lead and timing the response:

Response time	Share of companies
Within an hour	37%
1 to 24 hours	16%
More than 24 hours	24%
Never responded	23%

Among companies that responded within 30 days, the average response time was 42 hours.

A second analysis in the same article covered 1.25 million leads at 29 consumer-facing and 13 business-facing US companies. Firms that contacted a lead within an hour were nearly 7 times as likely to qualify it as firms that waited an hour longer, and more than 60 times as likely as firms that waited 24 hours or more. "Qualify" here meant having a meaningful conversation with a key decision maker.

What this research does not prove

I believe the direction of these findings. I would not quote the multipliers to anyone as fact about your business. Here is why.

It measures contact and qualification, not jobs won. The 2007 study says outright that it did not look at close rates. Nobody showed that fast response produced 21 times more revenue.
It is correlation. Companies that answer fast may also be better run in other ways. Leads that pick up quickly may be hotter to begin with. The data cannot fully separate those effects.
It is not about trades. The leads were web form fills for companies like mortgage and insurance sellers. A homeowner with water on the floor behaves differently from someone shopping rates.
It is old. The data is from 2007 and 2011, before texting a business was normal.
The authors sold the solution. InsideSales.com sold lead response software. That does not make the data wrong, but it is worth knowing.

What survives: leads go cold fast, many businesses are slow, and whoever reaches the customer first gets the first conversation.

A realistic setup for a 1 to 10 person business

You are on a roof or under a sink when the phone rings. You will not hit 5 minutes on every lead. You can make sure no lead waits hours.

1. Decide who catches each channel

Channel	Who catches it	Fallback
Phone calls, business hours	Office person or owner	Rings through to a second phone, an answering service, or an AI receptionist
Phone calls, after hours	Answering service or AI receptionist	Voicemail that says when you will call back, and you keep that promise
Web forms and ad leads	Instant alert to whoever is on duty	Automatic confirmation by email or text, with a real call to follow

If you use an AI voice agent, it should say up front that it is an AI. Texts should only go to people who gave you their number and agreed to hear from you, which a form submission can include if you ask for it clearly.

2. Pick a target you can actually hit

Write down a response target per channel. For example: calls answered live during business hours, form leads called back within 15 minutes during the workday, after-hours leads called by 8:30 the next morning. Those are my example numbers, not research findings. Choose yours and measure against them.

3. Plan the first day of attempts

First call as soon as you can.
If no answer, leave a short voicemail and send one text (if you have consent).
Second call a few hours later.
Third call the next morning.

The 2007 study suggests extra calls after about 20 hours stop helping. I would not treat that as a hard rule, but it is a good reason to make your early attempts count instead of calling the same number every day for a week.

4. Measure it once a week

Log when each lead came in and when you first had a real conversation. Each week, look at the slowest five and ask what happened. That tells you more than any study.

If you want help building the catch-and-callback setup, that is what we do at PM Solutions Hub.