The Speed-to-Lead Calculator turns three numbers into one — what your current response time is costing you. You give it your inbound volume, your current time-to-first-meaningful-response, and your conversion baseline. It returns the revenue you'd capture if you hit the 5-minute target, modeled on the established Oldroyd response-curve. The math is well-validated and the answer is almost always larger than the marketing budget feeding the funnel.
What the calculator computes
Inputs (three numbers):
- Monthly inbound leads — the count of meaningful inbound (form-fills, demo requests, "talk to sales" submissions). Not raw pageviews; not list-buys.
- Current median time-to-first-meaningful-response — best guess is fine; most teams underestimate.
- Current inbound-to-closed conversion rate — what share of those leads becomes booked revenue. Quarterly or trailing-twelve-month is more stable than monthly.
Optional: average deal size (used to translate the conversion lift into a revenue figure rather than a percentage).
Output (one number):
The estimated revenue you'd capture if your response time hit the 5-minute target, modeled on the Oldroyd response-curve and conservative assumptions about what's actually achievable in your current motion. Three views: monthly revenue uplift, annualized revenue uplift, and the implied conversion-rate lift in percentage points.
How the math works
The Oldroyd Lead Response Management Study established a well-replicated relationship between response time and qualification odds. Calling within 5 minutes is roughly 9× more effective at qualifying than calling within 24 hours, with the curve dropping fast in the first hour and flattening thereafter. The calculator uses a smoothed version of this curve, calibrated against the open-beta cohort's observed response-time-to-conversion data, to estimate what your conversion rate would be at any given response time.
The headline number is then: current conversion × (lift factor implied by moving from current response time to 5 minutes), applied to your stated monthly volume. The lift factor is bounded conservatively — we don't claim 9× across the board; we claim what the cohort data actually supports, which for most teams is a 1.4–2.2× lift in qualified-meeting rate.
What the answer usually looks like
For a typical mid-market B2B SaaS team — 300 monthly inbound, 17-hour current response time, 12% baseline conversion, $15K average deal — the calculator estimates a monthly revenue lift in the high six figures and an annualized lift north of $7M if response time hits the 5-minute target. The implied conversion-rate lift is around 8 percentage points.
For PLG teams with high-volume, low-ACV inbound (1,500 leads/month, sub-$500 ACV), the picture changes — absolute revenue impact is smaller but proportionally larger, because the conversion-curve advantage compounds across volume.
The number isn't meant to be a forecast you take to your CRO. It's meant to be a floor for what's at stake — a conservative estimate of the revenue your response time is currently leaving on the table.
What the calculator deliberately doesn't model
We don't model the operational cost of hitting 5 minutes (SDR comp, voice-AI subscription, ops investment). That's the half of the equation you can compute against your own stack; the calculator gives you the revenue side honestly.
We don't model second-order effects (improved AE pipeline quality, faster cycle time, higher win rate on warm-handoff deals) — all of which are real but harder to estimate without your specific data. The headline number is just the conversion lift on existing volume; everything else is upside.
We don't model attribution. Inbound that responds in 5 minutes converts customers who would otherwise have closed at a different vendor — that lift may show up as cannibalization of your existing pipeline rather than incremental revenue, depending on how your reporting is structured.
What to do with the number
If the answer is small relative to your stage-of-business — keep your current response motion; response time isn't your highest-leverage problem. If the answer is large — the question is whether to hit the target with humans, with an AI agent, or with a hybrid. The trade-offs of each are in Modern Acquisition.
Frequently asked questions
What's the 5-minute rule, and where does it come from?
The Lead Response Management Study (Oldroyd, 2007–2011, replicated multiple times since) established that the odds of qualifying a B2B inbound lead drop by roughly 80% between minutes 5 and 30, and continue dropping fast. Responding within 5 minutes is the threshold beyond which most of the qualification advantage is gone.
Is the calculator's revenue estimate conservative or aggressive?
Conservative. We bound the lift factor against the open-beta cohort's observed response-time-to-conversion data — not the steepest Oldroyd-curve interpretation. We don't model second-order effects like cycle time or win rate, which are real but harder to estimate. The headline number is a floor for what's at stake, not a forecast.
Can SDR teams actually hit the 5-minute target?
Not consistently — the structural mismatch between continuous lead arrival and discrete human availability is permanent. The teams in the cohort that hit the target either used live chat with humans during business hours (and accepted the after-hours gap) or routed inbound through an AI agent at all hours.