Lead Velocity Calculator

Speed-to-lead beats follow-up sequences every time.

Harvard's classic study found that the company that responded to a web lead first won 78% of the deal. After 5 minutes, your odds drop 10x. After an hour, 90%. This calculator quantifies what your current response time is costing you.

78%
Of deals go to the first responder
10x
Drop in odds after 5 minutes
90%
Drop in odds after 1 hour
<5min
Industry winning threshold
Current Monthly Revenue (After Slow-Response Penalty)
$0
What your pipeline actually books today, with your current response time baked in. Drag the sliders to see the lift.
Slow-response penalty: 0% of theoretical revenue lost
SaaS

Sets sensible defaults for the five sliders below. Override any value with the controls.

220

All web-form, chat, phone-form, and inbound contact submissions per month.

Industry: 220 /mo
4 hours

Time from lead submission to first human (or automated) contact. Most ops teams self-rate 2x faster than reality.

Industry: 4 hours
18%

% of contacted leads that become paying customers. Use your true blended close rate.

Industry: 18%
$150

First-deal revenue per customer. For subscription, use first-month revenue or annualized contract value.

Industry: $150
28%

% of submissions arriving outside coverage hours (nights, weekends, holidays). Industry median sits 25-40%.

Industry: 28%
Current Response Time
4 hr
Your effective speed-to-first-touch baseline.
Effective Close Rate
3.6%
Baseline close rate adjusted for response-time decay.
Revenue Per Lead
$5
Customer value times effective close rate. The math of every form fill.
Annual Revenue (Current)
$13,200
Monthly booked revenue at current response time, projected 12 months.
Response-Time Decay Curve
How fast your close rate drops as response time grows. Log scale.
Decay multiplier Reference points You
Your multiplier 1.00x
Revenue Lift By Target Response Time
What each tier unlocks, measured against your current monthly revenue.
Gain Loss
Best Case
1 minute
Auto-route + AI agent
+$0
Multiplier 1.30x. The speed-wins ceiling.
$0 Monthly Revenue
Harvard Baseline
5 minutes
Top-quartile sales orgs
+$0
Multiplier 1.00x. The reference point. 9x odds vs. 30+ min.
$0 Monthly Revenue
Common
30 minutes
"We replied today"
+$0
Multiplier 0.55x. Half your odds compared to a 5-minute response.
$0 Monthly Revenue
Most Teams Here
1 hour
Default ops cadence
+$0
Multiplier 0.40x. Where most B2B and service businesses land.
$0 Monthly Revenue
Slowest
24 hours
"Next day" / weekend
+$0
Multiplier 0.10x. 9 of every 10 deals already gone to a faster competitor.
$0 Monthly Revenue
After-hours leak
28% of leads arrive when nobody is there. An AI voice agent recovers $0 of them.
Recovery assumes a sub-1-second answer, qualifying intake, and direct booking into your calendar. 95% capture of after-hours leads is conservative based on Nirvani deploy data.
Lost Today
$0
Per month, after-hours only
Current Revenue vs. 1-Minute Response
Same leads, same close rate, same product. Only the speed changes.
Today 1-minute response
$0
Today at 4-hour response
$0
1-minute response Auto-route + AI assist
Monthly lift: +$0  |  Annual lift: +$0
How You Compare To Your Industry
Five inputs, side by side. Median is where typical operators land.
Industry median You
Avg response time Lower is better. Industry median in minutes.
4 hr
Inbound leads Per month
220
Close rate Higher is better. Contacted leads to customers.
18%
% after-hours Volume arriving outside coverage
28%
Avg order value First-deal customer value
$150
Sensitivity: Which Lever Moves Revenue Most?
Modeled against your current inputs. Annual impact in parentheses.
Hover a row to see the scenario weight
Operator Playbook: Speed-to-Lead Infrastructure
1 Put a sub-60-second SLA on every inbound channel. Form fills, chat, phone, even paid-ad click-to-call. The first business that answers wins 78% of the deal. The second business is already negotiating against the first call.
2 Route by source, not by rep. Hot inbound from paid ads goes to your fastest closer. Long-tail SEO leads go to the development-rep queue. One generic round-robin queue is the slowest possible configuration, because the average rep is mid-call when the lead arrives.
3 Pair humans with an AI agent for first contact. AI catches the after-hours, the weekend, the lunch window, the bathroom break, and the "rep was driving" gap. Then it hands a hot, qualified lead to your team with intake notes attached. Nirvani's AI voice agent answers in under one second, every time.
4 Measure first-touch SLA, not "time to qualified." Reps optimize what gets reported. Most ops dashboards only show "time to disposition," which masks 4-hour delays inside the 24-hour bucket. Track 1-min, 5-min, 30-min, 1-hour, day-plus buckets explicitly.
5 Stop running drip sequences as your fallback. A 7-email nurture for a 5-minute-old lead is a tax on conversion. Drips are insurance for the 5% you couldn't reach live. Don't confuse the insurance policy with the strategy.

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Run the math the other way too.

These two siblings cover the surfaces the velocity calculator doesn't touch directly.

How this calculator works

Where does the Harvard "78%" study come from?
The classic study is the 2007 InsideSales / MIT / Kellogg / Harvard Business Review paper on lead response times, often referenced as the "Lead Response Management Study." It tracked thousands of web leads across hundreds of B2B companies and found two specific effects. First, vendors who contacted leads within 5 minutes were 9x more likely to qualify them than vendors who waited 30 minutes. Second, in head-to-head bids, the first vendor to reach the buyer won the business roughly 78% of the time. The decay curve in this calculator interpolates between the published anchor points (1 min, 5 min, 30 min, 1 hr, 24 hr) and adds a +30% ceiling for the sub-1-minute case based on more recent telephony research and Nirvani deploy data.
Why 5 minutes specifically? What's magic about that number?
Nothing about the human attention span ends at 5 minutes. The number is a published empirical finding, not a theory. The decay starts the instant a lead hits "submit," because that's the moment they are most actively comparing vendors. Most buyers form a strong vendor preference within the first 5 to 15 minutes of evaluation. After that, they start fielding follow-up calls from competitors who heard about them via paid-intent data. The 5-minute cliff is the curve flattening into the territory where the lead has already started a parallel conversation with someone else.
How is the decay multiplier calculated?
We interpolate logarithmically between published anchor points: 1 min = 1.30x, 5 min = 1.00x, 30 min = 0.55x, 1 hr = 0.40x, 4 hr = 0.20x, 24 hr = 0.10x, 48 hr = 0.05x. Log interpolation reflects that response time pain compounds non-linearly. The gap between 1 minute and 5 minutes matters less than the gap between 5 minutes and 1 hour, which matters less than the gap between 1 hour and 24 hours. Your effective close rate is the baseline close rate multiplied by your current bucket's multiplier.
What about weekend and holiday coverage?
The "% after business hours" slider rolls weekends, holidays, lunch, and overnight together. For most US service businesses, total off-hours window is 60-70% of the calendar week (16 off-hours per day plus 48 weekend hours equals 160 of 168 hours), but leads aren't uniformly distributed. We see 25-45% of inbound traffic actually arrive in those windows, depending on industry. Restaurants get more night and weekend leads. B2B SaaS gets more inside-business-hour leads. Set the slider to match your reality, not the calendar.
Is a hybrid "human plus AI" model better than pure AI?
Yes, almost always. The math of full automation is tempting but rarely the right answer for high-stakes industries (law, real estate, complex B2B sales). The hybrid model uses AI for first contact (sub-1-second answer, qualifying intake, calendar booking) and routes the qualified, hot lead to a human closer who would otherwise have been mid-call. The result is a 5-minute response on 100% of inbound, not 5-minute on 38% of inbound and 4-hour on the rest. Pure AI works for transactional verticals (appointment booking, simple service intake). Hybrid wins almost everywhere else.
Why doesn't this calculator account for follow-up sequences?
It does, implicitly. The baseline close rate you enter is your blended close on all contacted leads, which already reflects whatever drip and re-engagement sequences you run. Speed-to-lead is a multiplier on top of that. The trap is thinking a great 7-touch nurture sequence cancels out a slow first response. It doesn't. The decay study tracked deals all the way through close, including follow-up sequences. The first-vendor-to-respond advantage held end-to-end. Sequences raise close rate. Speed determines whether you ever get into the sequence at all.