Speed to Lead: What the Research Actually Says

By Susana López, founder of Angelica · Last updated July 13, 2026

The short version

Two studies anchor everything the lead-response industry says about reply speed: a 2007 MIT-affiliated study and a 2011 Harvard Business Review audit. Both are old, both are real, and both are routinely misquoted. This page gives you the actual numbers with their actual sources, flags the famous statistic that has no source at all, and is honest about the limits of data this old.

The 2007 Lead Response Management study

Dr. James Oldroyd, then a visiting professor at MIT, analyzed lead-response data with InsideSales.com covering six companies, 15,000+ leads, and over 100,000 call attempts. The headline findings: the odds of making contact with a lead are about 100 times higher when you respond within 5 minutes versus 30 minutes, and the odds of qualifying that lead are about 21 times higher (attribution verified via AInora's 2026 source-by-source roundup).

Note what the study measured: phone calls to web-generated leads, in 2007. The channels have changed; the decay curve is the durable insight. Interest evaporates fast after someone reaches out.

The 2011 Harvard Business Review audit

A team led by James Oldroyd and Kristina McElheran audited 2,241 US companies by submitting a web inquiry and timing the response (HBR, March 2011):

• Only 37% responded within one hour.
• 23% never responded at all.
• Average response time among those who did respond: 42 hours.
• Firms that responded within an hour were nearly 7 times as likely to qualify the lead as those that waited even an hour longer.

The audit's subjects included plenty of businesses with real staff and real budgets. Slow response is not a small-business problem; it is a default problem. Nobody owns the first reply.

The statistic you should stop repeating

"78% of customers buy from the first responder." You will find it on vendor sites in every industry, attributed variously to McKinsey, InsideSales, or Forrester. A 2026 source-by-source review found no traceable primary source for it (AInora, 2026). We do not use it anywhere on this site. If a vendor quotes it to you, ask where it comes from and enjoy the silence.

Honest limitations

• Both studies predate smartphones-as-default and AI responders. Treat the exact multipliers as directional, not gospel.
• We found no newer public study of comparable scale in our July 2026 research; that is why the whole industry still cites these two.
• Both studies measured phone response to web leads. Message channels (chat, email, DMs) likely follow a similar decay curve, but that is an inference, not a measured result.

What this means in practice

The pattern across both studies is simple: the value of a lead decays in minutes, most businesses reply in hours or never, and whoever replies first with something useful captures a disproportionate share. You do not need to be perfect; you need to be first and correct. That is achievable three ways: hire coverage, carry your phone forever, or automate the first reply. The trade-offs of each are laid out in the full decision guide to AI receptionists, and the money side is in the cost breakdown.

Angelica, the product behind this site, is built for the third option: she is designed to answer website chat, email, and WhatsApp leads in about 60 seconds, day or night, in English or Spanish. That figure is her design target, not yet a published measured average — when we publish response-time telemetry, it will appear here first. You can test her yourself right now: open the chat bubble on this page.

Written by Susana López, founder of Angelica. Sources linked inline with dates; study limitations stated above.