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Enter your leads per month, close rate, deal value, and current response time. This tool estimates the revenue at risk using your real numbers against a published research finding on contact-rate decay — with the formula fully shown, not a black box.
Source: Oldroyd, McElheran & Elkington, Harvard Business Review, 2011 — labeled honestly as a 2011 study, directional not guaranteed. Updated August 2026.
Responding at 2 hrs instead of within 5 minutes, modeled against your own inputs — not a benchmark deal size.
Enter your email to see the full dollar estimate and the formula behind it.
Reference points: 5 min → index 1.000 · 30 min → index 0.048 · 1 day → index 0.010.
How it works
How many new leads you get in an average month, across whatever channel you're evaluating.
Your real numbers — not an industry benchmark. The dollar estimate is only as good as these inputs.
How long it actually takes, on average, for a lead to hear back from a human — not how fast you wish it was.
The result shows monthly and yearly revenue at risk, plus a 'Show the formula' panel with every number in the calculation and which parts are cited research vs. this tool's own model.
The research this is built on
"The Short Life of Online Sales Leads" (Oldroyd, McElheran & Elkington, Harvard Business Review, March 2011) analyzed roughly 15,000 leads across 2,241 companies using contact attempt data from InsideSales.com. The headline finding: companies that tried to contact a lead within 5 minutes were dramatically more likely to actually qualify it than companies that waited even 30 minutes — the study reports odds roughly 21x higher in that window.
This calculator uses exactly two numbers from that study — the 5-minute and 30-minute reference points — as anchors for a simple curve. Everything else (the 24-hour floor, the interpolation, the implied close-rate cap) is this tool's own model, disclosed in full in the "Show the formula" panel above. It's a 14-year-old dataset from one research team's sample — a directional signal worth taking seriously, not a number to quote as gospel for your specific business.
| Response time | Modeled qualify index | Where it comes from |
|---|---|---|
| 5 minutes | 1.000 | Baseline anchor (best-practice response) |
| 30 minutes | 0.048 | HBR 2011 — ~21x qualification-odds finding |
| 24 hours | 0.010 | This tool's modeled floor — not from the study |
Waseem, building from Bali · info@skynetjoe.com · Updated August 2026
Quick answers
Oldroyd, McElheran & Elkington, "The Short Life of Online Sales Leads," Harvard Business Review, March 2011 — an analysis of roughly 15,000 leads across 2,241 companies using contact data from InsideSales.com, finding the odds of qualifying a lead are roughly 21x higher when contacted within 5 minutes vs. after 30 minutes. That's a 2011 study on that dataset's response patterns — it's directional evidence, not a live guarantee for your business today.
Because that's the truth. Only the 5-minute and 30-minute reference points are drawn from the cited research. The 24-hour floor and the interpolation between/beyond those points are this tool's own straight-line model, built for a smooth slider experience — clicking 'Show the formula' shows you exactly where the real data stops and the model starts.
A blind multiplier (close rate × 21) can produce nonsense at low starting close rates — nobody actually converts at 100%+ just from answering faster. The tool caps the implied uplift at +40 percentage points or 95%, whichever is lower, so the output stays in a defensible range instead of compounding the multiplier into a fantasy number.
No — it's a generic model driven entirely by the numbers you enter (leads/month, close rate, deal value, response time). It doesn't know if your leads are cold ads, referrals, or inbound demo requests, all of which respond differently to speed. Treat the dollar figure as directional, not a forecast.
Usually one of: an instant auto-acknowledgment (SMS/email) the moment a lead comes in, an AI chatbot that qualifies and books while a human is unavailable, or an n8n/automation routing rule that pings the right rep the second a form submits — instead of a lead sitting in an inbox until someone checks it.
An AI chatbot or an automated routing workflow can acknowledge and qualify a lead the moment it comes in — no human has to be at a desk.