Free lead response time calculator
Estimate how much faster routing would make your response time, how many extra deals it closes, and what you're leaving on the table at current speed. Based on the HBR 5-minute conversion data.
Best-guess estimates are fine, the calculator updates as you change them.
How many form responses arrive per month.
From submission to first human touch. If you don't measure, an honest guess is fine, most teams underestimate this.
Revenue from a closed deal. Use lifetime value if it's a subscription product.
How much of your current response time is triage that routing automates. 70-95% is typical.
Percent of leads that become customers today.
per month — 180 hours of triage off your team's plate.
54 min per lead.
down from 1 hr today.
Below 30 minutes, well into the high-conversion band.
from 12.9 more deals closed per month at your current lead value.
That's $77,143 per year.
per month at the current response time vs an instant-routing baseline (response under 1 minute).
The gap between what's possible and what's happening today.
Estimates use the response-time conversion model from public research (Harvard Business Review, “The Short Life of Online Sales Leads”), leads contacted within 5 minutes convert at roughly 9× the rate of those contacted after 30 minutes. The calculator interpolates between response-time bands; your real numbers will vary.
Why response time disproportionately matters
The most-cited research on lead response. Harvard Business Review's “The Short Life of Online Sales Leads”, found that companies contacting leads within 5 minutes were 9 times more likelyto qualify them than those contacting after 30 minutes. The drop isn't linear: most of the conversion-rate collapse happens in the first hour, especially the first 5 minutes.
The mechanism is intuitive. Lead intent decays fast. Someone who submitted a pricing form 30 minutes ago has already evaluated three competitors, told their boss they looked into options, and started thinking about other tasks. Reaching them in the first minute catches their attention before any of that happens.
The boring middle of the funnel
- It removes triage time. Without routing, every submission lands in a shared inbox and someone reads it to decide who handles it. Routing rules answer that question instantly: high-budget leads to the senior sales channel, support tickets to the on-call subteam, leads from Austin to the Austin team. The triage time is gone.
- It doesn't fix slow humans.If your sales team takes 4 hours to respond to a lead in their channel because they're in meetings, routing doesn't help. That's a staff-capacity problem. The “routing time reduction” input tries to surface this, if most of your response time is human, the win from routing is smaller.
- It compounds with response-time discipline. Teams that route + commit to responding within 5 minutes get the full HBR conversion multiplier. Teams that route without changing their response habits get half of it.
What each one tells you
- Time saved: the total triage hours routing would eliminate per month. The honest operational win: hours of human time that go back to the team.
- Projected response time: your new average from submission to first touch, after routing. The threshold to aim for is 5 minutes (where the HBR conversion multiplier peaks).
- Estimated revenue uplift: extra deals × lead value, monthly and yearly. Most-quoted number when building a business case for the work.
- Currently missing: the gap between current speed and instant-routing speed. The biggest of the four numbers, what's possible if everything works perfectly. Useful for prioritising the project against other initiatives.
Frequently asked questions
What does this calculator do?▾
It estimates the revenue impact of cutting lead response time from your current speed to instant routing. You enter monthly lead volume, current response time, average lead value, the share of response time that's actually routing (vs. staff capacity), and your current close rate. The calculator returns the time you'd save, the new response time, the extra deals you'd close, and how much revenue you're missing today.
Where do the conversion multipliers come from?▾
Public research, primarily Harvard Business Review's 'The Short Life of Online Sales Leads' (2011) and follow-up studies, leads contacted within 5 minutes convert at roughly 9× the rate of those contacted after 30 minutes. The calculator uses a piecewise multiplier: 9× under 1 minute, 4.5× at 1-5 minutes, 2× at 5-30 minutes, 1.4× at 30-60 minutes, 1× over 60. Your real numbers will vary by industry and product, but the ordering holds.
What's the 'routing time reduction' input?▾
An estimate of what share of your current response time is triage that routing automates, not staff being slow. Example: if your current 60-minute response time is 50 minutes of submissions sitting in an inbox waiting for triage and 10 minutes of actual human follow-up, your routing time reduction is roughly 83%. Most teams underestimate this; the common range is 70-95%.
Why is 'currently missing' usually the biggest number?▾
It's the gap between your current speed and the theoretical ideal of sub-1-minute routing. Even with the most aggressive setup, you might land at 2-5 minutes rather than under 1. The 'missing' number is the bigger version of the 'uplift' number, what's possible if you got everything right. We surface it because most teams don't realise how much money is sitting in the response-time gap.
How does this compare to the time savings I'd get from any automation tool?▾
Generic automation (Zapier, Make) gets you most of the way, they can route submissions to Slack. The marginal value of a focused tool like RouteForms is in (1) routing rules per answer, so the right team sees it without manual triage, (2) reliability, retries on failure, idempotency so retried submissions don't double-post, and (3) operational visibility so when delivery stops, you notice in hours not weeks. The calculator's projections assume a routing setup that's actually running, not just configured.
Does this work for support / ticket / booking workflows too?▾
Yes, with caveats. The conversion-rate math is sales-specific (HBR's data is about sales leads). For support tickets, the right metric is SLA adherence or CSAT rather than close rate; for bookings, it's no-show rate; for applications, it's candidate response rate. The time-saved and projected-response-time outputs are universal; the revenue projection is most meaningful for sales-style workflows.
What if my close rate is already great?▾
If you're closing 50%+ of leads already, your bottleneck probably isn't response time, it's lead qualification or product/market fit. The calculator's revenue uplift will be smaller because you can't close more than 100% of leads. The time-saved output still applies; it just means the gain is in operational hours rather than incremental revenue.
Is this a guarantee?▾
No. It's a model based on industry averages. Your actual results depend on your specific funnel, lead quality, and how well-tuned your routing rules are. Treat the numbers as ballpark estimates for prioritising the work, not as a contract.
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Keep reading
Plan multi-client routing setup, what fields go where, which channels per client.
Generate the IF-THEN routing rules that drive the time savings calculated here.
If qualification is more nuanced than one rule, score multiple signals into tier-based routing.
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