What the research actually says about speed to lead

Almost every page selling lead-response software cites the same two numbers, usually to the same source, and one of those attributions is wrong.

Since the whole argument for fast follow-up rests on this research, it is worth getting right.

The Harvard Business Review study (2011)

The Short Life of Online Sales Leads, published in Harvard Business Review, examined 1.25 million sales leads received by 29 US companies.

Two findings are quoted from it:

• Firms that tried to contact a potential customer within an hour were nearly seven times more likely to qualify that lead than those that tried even an hour later.
• A separate audit of 2,241 US companies found the average first-response time was 42 hours, and that 23% never responded at all.

That second figure is the one worth sitting with. Not slow — absent.

The MIT / InsideSales study (2007)

The often-quoted claim that the odds of qualifying a lead drop by 21 times between a five-minute and a thirty-minute callback comes from the MIT / InsideSales lead response management study, which analysed several years of response data.

This figure is attributed to Harvard Business Review constantly. It is not theirs. If you are going to quote the 21× number, quote the MIT study.

What the research supports

That response time and qualification rate are strongly associated. Both studies show it, at scale, across many companies.

That the first hour is where most of the effect sits. The curve is steep early and flattens.

That a large share of businesses do not respond at all. This is the finding with the most practical value, because it is the cheapest thing to fix and requires no speed at all — only a system that notices.

What the research does not support

It is correlational, not a controlled experiment. Companies that respond in five minutes differ from companies that respond in five hours in many ways besides speed. Some of the gap is attributable to the kind of company that is capable of responding fast.

“Qualified” is not “closed”. Both studies measure contact and qualification. Neither establishes a revenue multiple, and anyone quoting one as a revenue figure has added it.

The studies are old. 2011 and 2007. Buyer behaviour has moved considerably — but in the direction of higher expectations of immediacy, not lower, so the direction of the finding is unlikely to have reversed.

Faster is not unboundedly better. Nothing here shows a nine-second response beats a four-minute one. The evidence is about hours, not seconds.

What this means in practice

The honest version of the argument is not “respond in sixty seconds or lose the deal”. It is:

1. Respond at all. Nearly a quarter of the audited companies did not. A rule that catches unworked leads is worth more than any speed optimisation.
2. Respond within the hour. That is where the measured effect concentrates.
3. Respond consistently. An average of twenty minutes made of some instant replies and some two-day gaps is two different businesses, and the slow half is the one leaking.

The third point is the reason this is an automation problem rather than a staffing one. Humans are capable of fast response and are not capable of uniformly fast response across evenings, weekends, holidays and busy Tuesdays.

Measuring your own

You do not need either study to justify the work. Measure your own gap between enquiry timestamp and first logged contact attempt, then look at the distribution rather than the average.

The long tail is where the losses are, and it is almost always longer than anyone on the team believes. That number is more persuasive internally than any published figure, because nobody can argue it is about somebody else’s business.