The Lead Decay Curve
What happens to a lead while you don’t reply. Every point below is a real, sourced comparison from lead-response research — not a smoothed guess. Pick your industry and your numbers to see what slow follow-up is quietly costing you.
Reviewed by Maxime Houle, Founder, SeldonFrame. I build one of these tools — every ranking here says when the others win. Facts checked July 2026.Solid = sourced point-to-point comparison. Dashed = no data between these points — connecting line is illustrative only, not a measured curve.
At Plumbing / HVAC’s typical response speed, about $85,680/year is at risk from slow follow-up.
*Revenue-at-risk model: leads/month × close rate at your fastest response = deals if you always replied in ~5 minutes; the same figure scaled by the industry’s relative-odds index above estimates deals at your current speed. The gap × average job value is the monthly figure. This is a transparent, stated model — not a specific study’s prediction for your business.
The data points, with sources
| Time since inquiry | Relative odds (indexed to 100) | Source |
|---|---|---|
| 5 min | 100 | Lead Response Management study (InsideSales.com data + MIT's James Oldroyd) |
| 10 min | 25 | Lead Response Management study (InsideSales.com data + MIT's James Oldroyd) |
| 30 min | 4.8 | Lead Response Management study (InsideSales.com data + MIT's James Oldroyd) |
| 24 hours | 4.8 | Lead Response Management study (InsideSales.com data + MIT's James Oldroyd) |
What this doesn’t prove
- This is correlational data, not a controlled experiment — it can’t prove responding faster causes more sales for every business, only that faster responders connect and qualify more often in the studies measured.
- The underlying data is old — the Lead Response Management figures come from a multi-year study whose data collection predates 2011, and the Harvard Business Review analysis by the same researcher was published in 2011. Buyer behavior has changed since (more channels, more AI, more comparison shopping).
- The exact multipliers (4x, 21x, 6x) come from a single vendor-hosted study across six companies — not a peer-reviewed, replicated result. Treat the direction as reliable and the exact numbers as illustrative.
- The industry markers on this chart are an illustrative placement, not a sourced per-industry benchmark — see our guide on why those numbers are unreliable.
What this chart actually shows
- A new lead who reaches out — a call, a form, a text — is usually reaching out to more than one business at the same time.
- Research on thousands of real leads keeps finding the same pattern: your odds of actually reaching and qualifying that lead are highest right away, and fall off fast the longer you wait.
- One widely-cited study found the odds of qualifying a lead dropped fourfold between 5 and 10 minutes, and 21-fold between 5 and 30 minutes. Those exact numbers are old and come from one study — trust the direction more than the decimal point.
- The dashed lineon the chart means there’s no sourced data point in that gap — we don’t pretend to know exactly how the curve behaves between 30 minutes and 24 hours, so we don’t draw it like we do. (The same study separately notes qualification success fell “over sixfold” within the first hour overall — a coarser, differently-scoped stat than the 30-minute point, which is why it’s not plotted as its own point on this curve.)
- Move the sliders to put a rough dollar figure on your own gap — the same honest, transparent math as our other free calculators.
Frequently asked questions
Is the 5-minute rule real?
It's a real, widely-repeated finding from lead-response research — but it's not a precise law. The most-cited source is a study of ~15,000 leads across six companies (publicly summarized at the Lead Response Management site), whose data collection predates a 2011 Harvard Business Review analysis by the same researcher. Both are old, and the exact multipliers (like “21x”) come from one vendor-hosted study, not a peer-reviewed, replicated result. The direction — odds of reaching and qualifying a lead drop sharply as time passes — is the part worth trusting.
What should I do about it?
Route every channel (calls, forms, texts, chat) into one place, reply first and qualify second, and cover the after-hours and mid-job gaps where most slow responses happen. Our speed-to-lead calculator puts a number on your own gap.
Why does the chart have dashed sections?
Because the literature doesn't give us a data point at every minute — it gives discrete comparisons (like “5 minutes vs. 30 minutes”). Where there's a real gap in the sourced data, we draw a dashed, differently-colored line instead of a smooth curve, so the chart never implies precision the research doesn't have.
Where do the industry markers come from?
They're an illustrative placement, not a sourced per-industry benchmark. Our own guide on lead response time by industry found no trustworthy numeric breakdown exists — most of what circulates online is old, unverifiable, or measuring different things. The marker shows roughly where a typical business in that trade might land, not a cited average.
Related: the what-is-speed-to-lead guide, the missed-call cost calculator, or run your own speed-to-lead numbers. Or skip straight to it — build a free AI front office that answers instantly.