Lead Velocity Calculator

Speed-to-lead comes before follow-up sequences.

In Invoca's 2026 survey of 693 US buyers, 56% said they expect a reply within an hour of submitting a form, but only 36% got one. Pied Piper's 2026 study of 31 large home services brands found no follow-up within 24 hours 72% of the time. This calculator puts a dollar figure on your current response time.

56%
Expect a reply within an hour
72%
No follow-up within 24 hours
28%
Offered an appointment
42%
Locations rated ineffective

Sources: Invoca, B2C Buyer Experience Report 2026 (June 2026; 693 US consumers); Pied Piper, 2026 Lead Handling Effectiveness Home Services Study (3,211 evaluations of 31 large brands; follow-up measured over 24 hours; appointment rate where booking was the natural next step).

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.

Model default: 220 /mo
4 hours

Time from lead submission to first human (or automated) contact. Measure it from your lead timestamps rather than estimating.

Model default: 4 hours
18%

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

Model default: 18%
$150

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

Model default: $150
28%

% of submissions arriving outside coverage hours (nights, weekends, holidays). Pull this from your form timestamps.

Model default: 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
Model Baseline
5 minutes
Recommended target
+$0
Multiplier 1.00x. The reference point for this model.
$0 Monthly Revenue
Common
30 minutes
"We replied today"
+$0
Multiplier 0.55x. Modeled at roughly half the 5-minute rate.
$0 Monthly Revenue
Outer Limit
1 hour
Default ops cadence
+$0
Multiplier 0.40x. 56% of buyers expect a reply to a form within an hour (Invoca, 2026).
$0 Monthly Revenue
Slowest
24 hours
"Next day" / weekend
+$0
Multiplier 0.10x. Home services customers typically try several companies before choosing one (Pied Piper, 2026).
$0 Monthly Revenue
After-hours leak
28% of leads arrive when nobody is there. An AI voice agent recovers $0 of them.
Recovery assumes an immediate answer, qualifying intake, and direct booking into your calendar. The 95% capture rate is a modeling assumption, not a measured result. Lower it in your head if many callers ask for a person.
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 With the Model Defaults
Five inputs, side by side with the model defaults.
Model default You
Avg response time Lower is better. Model default 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. Customers seeking home services typically try several companies before choosing one, according to Pied Piper's 2026 study, so the first useful answer has the edge.
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 immediately, day or night.
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 leads you couldn't reach live. Don't confuse the insurance policy with the strategy.

What happens next

You just timed your response. Now meet the agent that answers in seconds.

Nirvani installs AI employees that answer every call, text back every missed one and book the work straight into your calendar. Everything below is free and live today.

Keep this run

Email me these exact numbers.

Every input and result you set above, sent to your inbox with a reference number, plus one confirmation text. No drip sequence: your run lands with a principal, not in a funnel.

✓

Your numbers are in your inbox.

Check spam once if it is not there within a minute. Want the agent that changes them? The intro meeting below already has your details filled in.

Claim the Free AI Agent

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 do the speed-to-lead numbers come from?
From recent research. (1) Invoca, B2C Buyer Experience Report 2026 (June 2026): 56% of US buyers expect a business to respond within one hour after they submit a form, only 36% get a reply in that window, and 79% say they will switch to a competitor that responds faster (693 US consumers who recently made a high-stakes purchase). (2) Pied Piper, 2026 Lead Handling Effectiveness Home Services Study: across 3,211 evaluations of 31 of the largest home services brands (October 2025 to January 2026), the most common follow-up within the 24 hours measured was none at all (72% of the time); where booking was the natural next step, customers were offered an appointment only 28% of the time; and 42% of locations scored as ineffective interactions. (3) Hennessey Digital, 2025 study of more than 1,300 law firm websites: 25% of the law firms studied replied to online leads in under five minutes, and 26% did not reply at all. None of these publishes a decay curve, so the multipliers in this calculator, including the +30% ceiling for a sub-1-minute reply, are Nirvani's modeling assumptions.
Why 5 minutes specifically? What's magic about that number?
Nothing. Five minutes is our recommended target, not a published cliff. Customers expect speed (56% of US buyers expect a reply to a form within an hour, per Invoca in 2026, and 79% say they will switch to a faster competitor), but no recent study pins the drop-off to an exact minute. Aim for under five minutes and treat an hour as the outer limit.
How is the decay multiplier calculated?
We interpolate logarithmically between anchor points we set (modeling assumptions, not published figures): 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. If you're open 9 to 5 on weekdays, you're closed 128 of the week's 168 hours (16 hours on each of five weekdays plus 48 weekend hours), about 76% of the calendar. Leads don't arrive evenly, so the share that actually lands after hours is usually lower than that, and it varies by industry. Pull your form and call timestamps and 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 (immediate answer, qualifying intake, calendar booking) and routes the qualified, hot lead to a human closer who would otherwise have been mid-call. The goal is a fast first response on every inbound lead, not a fast reply on some and a 4-hour reply 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. One caution: buyers say speed wins them over (79% in Invoca's 2026 survey say they will switch to a faster competitor), but that is what people report, not tracked sales, and it gives no multiplier that transfers to your business. So applying the speed multiplier to your close rate is this calculator's assumption. Sequences raise close rate. Speed decides whether you reach the lead in the first place.