For Service Businesses
Stop Losing Leads to Slow Follow-Up and Inconsistent Staff
Your Automated Sales Department contacts every lead in seconds, follows up until they respond, and holds your team accountable—so no opportunity slips through.
The math is simple—and brutal.
If you contact a lead in the first minute, you catch them while they're still at their computer, still thinking about their problem, still ready to talk.
Wait an hour? They've moved on. They've filled out a competitor's form. They've forgotten why they reached out. Your lead is cold before your team even sees it.
This isn't about working harder. It's about physics. Humans can't monitor forms 24/7. Humans can't call within 60 seconds every time. Systems can.
Indexed to 1-hour baseline. Source: Lead Response Management Study
The Full Stack Quick Diagnosis
How many of these happen in your business?
8 layers to the customer story. Remove one and revenue leaks out.
Most businesses have 2 or 3 of these. Click the problems you recognize to see where yours is leaking.
What this means
Each checked item is revenue leaking from your business right now.
Why the full stack matters
Missing layer 1? Leads go to competitors before you even call.
Missing layer 3-4? 20-30% of booked appointments never happen.
Missing layer 7-8? You keep paying for new leads instead of monetizing existing customers.
Every gap is a leak. And every leak compounds over time.
$0/mo lost
The story of your missing layer
What a single 3 hour delay actually costs you
You don't need 8 different tools. You need one system that solves all 8.
That's what we built.
How It Works
Three engines.
One complete system.
Most tools fix one problem. Reply Stats is a complete sales department that handles leads, appointments, and your entire database.
New Lead Follow-Up
Instant contact within 60 seconds. AI calls, texts, and emails until they respond or book.
Booked Appointment
Confirmations, reminders, and no-show recovery. Cut no-shows by 50%.
Active Campaigns
Win-backs, upsells, referrals. Revenue from contacts you already paid for.
Select an engine to see the full breakdown
Your competitor already called.
Did you?
Lead comes in at 3pm. Your rep is on another call. By the time they dial at 4:30pm, that lead already talked to someone else. That's not a sales problem. That's a systems problem.
You've probably accepted these problems as "just how sales works"
They're not. They're symptoms of follow-up that depends on humans remembering to do it.
"Leads go cold before we call them"
You pay for a lead at 3pm. Your rep is on another call. By the time they get to it at 4:30pm, the lead already talked to your competitor. Reply Stats calls within seconds of entry. No delay. No waiting. No lost opportunities.
"Some reps follow up once, some follow up ten times"
One rep is aggressive. Another gives up after one attempt. Results are all over the place. Reply Stats enforces the same process for every lead, every time. Your best follow-up sequence runs whether your A-player or your new hire is working.
"Leads fall through the cracks"
Sticky notes. Spreadsheets. "I thought you called them." Leads disappear into the void. Reply Stats tracks every lead in a pipeline you can see. Nothing gets lost. Nothing gets forgotten. Every lead has a status and a next action.
"I can't tell if my team is actually working"
Are they making calls or scrolling their phone? You don't know unless you stand over them. Reply Stats shows exactly where every lead is, how long they've been there, and what happened. You see who's working and who's not—without micromanaging.
"After-hours leads die overnight"
Lead comes in at 9pm Friday. Nobody touches it until Monday 10am. That's 60+ hours of cooling off. Reply Stats works nights, weekends, and holidays. A lead at 2am gets the same treatment as a lead at 2pm.
"I'm paying for leads that never get proper follow-up"
You spend $50 per lead. Your team attempts contact once, maybe twice, then moves on. You're lighting money on fire. Reply Stats does up to 12 attempts per campaign, across 25 campaigns if needed. Every lead gets fully worked before you give up.
Your leads aren't bad.
Your follow-up is slow.
You dominate lead sources others abandon as "bad quality." The leads weren't bad—their follow-up was slow. You catch prospects while they're still at their computer thinking about your service. They haven't had time to fill out your competitor's form yet.
A follow-up machine that never stops
The system runs 24/7. It never calls in sick. It never forgets to follow up. It treats every lead the same way, every single time.
Instant contact when leads enter
When someone fills out a form or clicks your ad, the system takes over. It calls them, texts them, and emails them—all within seconds. Your competitor is still reading the notification.
- AI call fires within seconds of lead entry
- Welcome SMS while they're still at their computer
- Welcome email before they close the tab
- Toggle each channel on/off per campaign
Up to 12 attempts per campaign
Most businesses quit after 2 attempts. Top performers do 8-12. This system runs up to 12 automated attempts per campaign—and you have 25 campaigns to chain together for up to 300 total touches before giving up.
- Configure channels, timing, and messaging per attempt
- Set exact wait times (days, hours, minutes)
- Chain campaigns together for extended sequences
- Any response from any channel stops automation
Two pipelines keep it clean
Active Pipeline shows leads ready to be contacted right now. Waiting Pipeline holds leads in timer delays—invisible to reps until their timer expires. No clutter. No confusion. Nothing falls through cracks.
- System auto-moves leads when timers expire
- Reps only see what's actionable right now
- Managers see everything: who's working, who's not
- Every disposition timestamped and tracked
25 campaigns means 25 simultaneous experiments
Stop guessing. Run 5, 10, or 25 variations at once. Split your leads. After 30 days, the data tells you exactly which version wins.
Messaging Tests
- Subject Lines Which gets more opens?
- SMS Length Short and punchy vs detailed
- Tone Professional vs casual vs urgent
- Call-to-Action Which wording drives action?
Timing Tests
- Aggressive vs Relaxed 5-minute waits vs 2-hour waits
- Sequence Length 4 attempts vs 8 vs 12
- Time of Day Morning calls vs afternoon
- Day Spacing Same-day follow-up vs next-day
Channel Tests
- AI vs Human Calling Which books more appointments?
- More Calls vs More Texts Find the right mix
- Email Heavy vs SMS Heavy Which channel resonates?
- Multi-Channel vs Single Omni-channel or focused?
Split your leads 20% each. After 30 days, you know exactly which approach books more appointments. Roll out the winner everywhere.
What changes when you turn it on
Every problem you've accepted as "just how sales works" becomes systematically impossible.
| Before Reply Stats | After Reply Stats |
|---|---|
| Leads go cold while reps are busy | Every lead contacted in seconds |
| Follow-up depends on who's working | Same process runs for every lead, every time |
| Leads fall through cracks | Every lead tracked with visible status |
| Can't tell if team is working | Full visibility into pipeline and activity |
| Sick days = dead leads | System works regardless of who shows up |
| After-hours leads die overnight | 24/7 coverage, no gaps |
| Guessing what works | Data on every attempt, campaign, and outcome |
| Wasted ad spend on unworked leads | Every lead gets fully worked |
Every fix creates a chain reaction
First-order benefits are obvious. Second and third-order effects compound over time.
Speed to Lead
Lead gets a call/text within seconds of submitting their info.
- You catch them while they're still thinking about your service
- They haven't had time to fill out your competitor's form yet
- Contact rate jumps because people actually answer when they just requested info
- Better ROI on ad spend because you convert more of what you paid for
- You can afford to pay MORE per lead than competitors
- You dominate lead sources others abandon as "bad quality"
Consistent Process
Every lead gets the same sequence of calls, texts, and emails regardless of who's working.
- Your best-performing process runs 100% of the time
- New hires plug into the system from day one
- Results become predictable instead of random
- Ramp time drops from months to weeks
- Turnover hurts less because the system holds institutional knowledge
- You can hire for quality instead of desperation
24/7 Coverage
Leads that come in at night/weekends get immediate follow-up.
- You capture leads your competitors ignore until Monday
- Night/weekend leads often have higher intent
- You can run ads 24/7 instead of pausing them after hours
- Expanded ad schedule → more total leads → more revenue
- Competitors with 9-5 operations can't match your coverage
- You tap into lead sources others write off
Every Lead Fully Worked
Leads get up to 12 attempts across multiple channels before being marked dead.
- You extract maximum value from every lead you paid for
- "Bad lead sources" turn out to be "under-worked lead sources"
- Sales team stops cherry-picking easy leads and ignoring hard ones
- Higher ROI on marketing → bigger budget → more leads → more revenue
- You can profitably buy leads competitors can't
- Marketing and sales alignment improves because leads actually get worked
Configure every detail of your follow-up
Configure SMS
Configure Email
Your Leads Are Dying While
Your Team Is Busy.
A lead that waits 30 minutes is 21× less likely to convert than one contacted in 5 minutes. Here's what that gap costs you.
Your Current System
The default. How most businesses operate.
Leads wait until a rep finishes their current task. Average: 47 minutes. By then, they've called your competitor.
Your best rep does 6 attempts. Your worst does 1. Most leads get 2.3 attempts before being abandoned.
9pm lead? Dead until morning. Weekend lead? Dead until Monday. 60+ hours of cooling off.
You think they're following up. You can't prove it. Leads disappear into CRM graveyards.
Reply Stats Follow-Up Engine
Automated. Instant. Relentless.
Lead enters. AI calls. SMS fires. Email sends. Before they close the browser tab.
Same proven sequence for every lead. Phone, SMS, email. 25 campaigns × 12 attempts = 300 possible touchpoints.
9pm lead gets contacted at 9pm. Weekend lead gets worked on Saturday. No gaps. Ever.
Know exactly what happened. Who responded. Why they didn't. Data on every attempt, every outcome.
Every empty chair is a job you already won — and lost.
You did the hard part. You got them to book. Now they forget, cancel, or no-show — and there's nothing systematic stopping it. The Booked Appointment Engine runs 20 automated actions across the entire appointment lifecycle.
You've probably accepted these problems as "just how appointments work"
They're not. They're symptoms of not having a systematic appointment protection system.
People book then forget
No strategic reminder sequence. Just one text you hope they see. They don't.
No-shows just disappear
They didn't show up. Maybe someone called once. Maybe not. Either way, they're gone.
Deposits require manual chasing
You ask once. They ignore it. You meant to follow up but got busy. They cancel with zero friction.
Radio silence before appointment day
They book. You confirm. Then... nothing. For 7-14 days, you're absent. No value-building. No investment.
Generic messages for everyone
A Botox appointment isn't a consultation. But everyone gets the same bland reminder.
Staff is supposed to remember
Send reminders. Chase deposits. Follow up on no-shows. It's all supposed to happen. But things slip.
You already know the problem. Let's count what it costs.
20 actions. 6 sequences. 5 categories. Zero staff effort.
The Booked Appointment Engine handles everything from the moment someone books until the appointment is complete — or until a no-show is recovered. 5 categories × 20 actions = 100 unique message configurations.
Confirmation
Instant acknowledgment with booking details, expectations, and next steps.
- SMS + Email + AI Call options
- Fires immediately on booking
- Category-specific messaging
Reminders
Strategic 3-touch sequence: 24 hours, morning-of, and hours-before.
- 24hr: Plan their day
- Morning: Top of mind
- Hours-before: Final nudge
7-Day Drip
Daily value-building content from D7 to D1. Create psychological investment.
- Build anticipation daily
- Prep instructions delivered
- Reduces cancellation rate
Deposit Collection
3-touch payment sequence: immediate, 48hr, 24hr. Skin in the game.
- Immediate request
- 48hr + 24hr follow-ups
- Filters frivolous bookings
No-Show Recovery
5-attempt rescue sequence. Understanding tone first, escalating urgency.
- Attempt 1: "Life happens"
- Attempts 2-5: Escalating
- SMS + Email + AI calling
Reschedule
Instant confirmation when appointments move. Clean transition.
- New details confirmed
- Drip sequence restarts
- Prevents confusion
From booking to completion — fully automated
Every appointment follows the same systematic path. No manual intervention.
Appointment Booked
System identifies appointment type and assigns to the appropriate category (1-5). Each category has completely independent messaging.
Confirmation Fires
Instant SMS, email, and/or AI call with booking details. Professional first impression.
Deposit Sequence Starts
If enabled, payment collection begins. Immediate request, then 48hr and 24hr follow-ups if unpaid.
7-Day Drip Runs
Daily value-building content from D7 through D1. Educate, excite, create anticipation.
Reminders Fire
Strategic 3-touch reminder sequence: 24 hours before, morning-of, and X hours before.
Appointment Complete — OR — No-Show Recovery
If they show up: done. If they don't: 5-attempt recovery sequence begins automatically. 20-40% get rescheduled.
What changes when you turn it on
Every leaky bucket in your appointment process gets plugged. Systematically.
| Before | After |
|---|---|
| People book and forget | Strategic reminders at optimal intervals |
| No-shows are lost revenue | 5-attempt recovery brings 20-40% back |
| Deposits require manual chasing | Automatic 3-touch collection sequence |
| Radio silence before appointments | 7-day value-building drip sequence |
| Generic messages for all appointment types | Category-specific messaging (5 categories) |
| Staff manually sends reminders | 100% automated, 0% staff effort |
| Rescheduling creates confusion | Automatic confirmation of new details |
| No idea what messages work | Full tracking: opens, clicks, replies per action |
First-order is obvious. Second and third-order compounds.
Every systematic touchpoint creates a chain reaction that extends far beyond the immediate action.
Strategic Reminder Sequence
They receive reminders at 24hr, morning, and hours-before.
- They plan their day around the appointment
- Multiple touchpoints without being annoying
- No-show rate drops 20-30%
- Scheduling becomes predictable
- Staff stops wasting prep time on no-shows
7-Day Drip Sequence
Daily value-building content leading up to appointment.
- They understand the value → price resistance drops
- They feel invested → cancellation becomes harder
- Upsells become easier—they understand expertise
- Reviews improve—expectations set correctly
Deposit Collection
Persistent 3-touch payment sequence without manual chasing.
- Skin in the game = less likely to cancel
- Cash flow improves—money before service
- You can hold premium time slots confidently
- Revenue becomes more predictable
No-Show Recovery
5-attempt rescue sequence with escalating urgency.
- 20-40% of no-shows get recovered
- Revenue recaptured that would be written off
- Data reveals why people no-show → fix upstream
- You can overbook strategically
Booked Appointment Settings
Configure SMS
Configure Email
They Booked. Then They Forgot.
Now You Have an Empty Chair.
The average no-show rate without a system is 20-30%. That's not a people problem—it's a process problem. Here's the difference.
Your Current System
The default. How most businesses operate.
Staff sends a quick message. Sometimes. Details might be wrong. Patient isn't sure what to expect.
Busy day? Reminders slip. Front desk is overwhelmed. Patient booked 10 days ago—now they forgot.
You ask once. They ignore it. You forget to follow up. Last-minute cancellation. Wasted slot.
They didn't show. Oh well. Maybe they'll call back. (They won't.)
Reply Stats Booking Engine
Confirmation to completion. Automated.
SMS, email, AI call. Date, time, location, prep instructions. They know exactly what's happening.
Strategic sequence at optimal intervals. Plus 7-day drip building anticipation. They can't forget.
Persistent, professional collection sequence. Financial commitment = psychological commitment.
Understanding tone first, urgency escalates. 20-40% of no-shows get recovered. Revenue saved.
Your database isn't dead.
You just stopped talking to it.
Every past customer, every quote that went cold, every "not right now" sitting in your CRM represents revenue you've already paid to acquire. Active Campaigns puts them back in play.
You've probably accepted these problems as "just how it is"
They're not. They're symptoms of not having a systematic way to work your database beyond new leads.
Past customers disappear forever
They bought once. You meant to follow up. Six months later, they're with a competitor because you never reached out.
Quotes sit in purgatory
You sent the quote. They said they'd "think about it." Your rep maybe followed up once. Now it's three weeks later.
Promos are one-and-done blasts
You send an email. Some people open it. There's no follow-up sequence, no phone calls. You leave 80% on the table.
Win-backs don't exist
Customers who haven't been back in 6+ months? They're just gone. You've accepted this as normal. It's not.
Operational follow-ups fall apart
Onboarding sequences, document collection, payment reminders — someone's supposed to remember. They don't.
You can't A/B test anything
Is the discount offer better than the value pitch? You're guessing. You have no system to run controlled tests.
You solved new lead follow-up.
You left everything else manual.
Your new lead follow-up system works beautifully. AI calls fire. SMS sequences run. But the moment a lead doesn't convert immediately? The moment a customer finishes a job? They fall into a black hole.
Active Campaigns: The universal campaign engine
The same weapons you use for new lead follow-up — AI calling, SMS, email, multi-attempt sequences — deployed for everything else.
Trigger from anything
You're not locked into one trigger. Active Campaigns fires from whatever business event you define — giving you surgical control over when outreach happens.
- Tag applied, form submitted, webhook received
- Payment event, pipeline stage change
- Inactivity timer, date condition, manual action
- CSV import, bulk action, external API
Up to 7 attempts per campaign
Each campaign runs its own multi-touch sequence. AI calls. SMS. Email. Power dialer. Manual call lists. All configurable per attempt, with exact timing control.
- Toggle AI call, SMS, email per attempt
- Set exact wait times (days, hours, minutes)
- Different messaging at each step
- Response from any channel stops automation
25 campaigns running whatever you need
Not just one use case. Every use case. 5 Plans × 5 Message Sets = 25 independent campaigns running simultaneously.
Revenue Recovery
- Quote Follow-UpSystematic sequence until they decide
- Dead Lead RevivalRe-engage contacts that went cold
- Win-Back CampaignsBring past customers back
- "Not Right Now" Follow-UpCheck back when timing's better
Revenue Growth
- Upsell SequencesCurrent customers, additional services
- Cross-Sell CampaignsBought X, might want Y
- Referral RequestsHappy customers asked to send friends
- Renewal RemindersService coming up for renewal
Promotional
- Seasonal PromotionsHoliday specials, end-of-year pushes
- Flash SalesLimited-time urgency campaigns
- New Service LaunchAnnounce to existing database
- Event InvitationsWebinars, open houses, special events
What changes when you turn it on
Every problem you've accepted as normal becomes systematically solved.
| Before Active Campaigns | After Active Campaigns |
|---|---|
| Only new leads get systematic follow-up | Every campaign type gets systematic execution |
| Quotes sit until someone remembers | Automatic multi-touch quote follow-up sequence |
| Past customers disappear forever | Automated win-back and upsell campaigns |
| Promos are manual one-and-done blasts | Multi-touch promotional sequences with AI calling |
| Can't run multiple campaign types at once | 25 independent campaigns running simultaneously |
| AI calling only for new leads | AI calling for every campaign type |
| No way to A/B test non-lead campaigns | 25 slots to test any campaign approach |
| Operational follow-ups are manual | Automated onboarding, collections, reminders |
Every systematic campaign creates a chain reaction
First-order benefits are obvious. Second and third-order effects compound over time.
Database Monetization
Old leads and past customers receive systematic outreach. Some respond.
- Revenue appears from contacts you already paid to acquire
- Historical marketing spend becomes retroactively valuable
- Database becomes an appreciating asset, not sunk cost
- Business resilience to ad cost increases
Revenue Diversification
You run promotional, upsell, cross-sell, and referral campaigns simultaneously.
- Revenue comes from multiple campaign types
- Upsells increase average customer value
- Revenue becomes more predictable
- Business valuation increases
Continuous Optimization
Every touchpoint tracked. Every campaign measured. A/B testing at scale.
- You stop guessing which messages work
- Discover which approach converts 40% better
- Marketing efficiency improves quarter over quarter
- Proprietary playbooks competitors don't have
Operational Freedom
Onboarding, collections, reminders run automatically. Nothing falls through cracks.
- Staff stops chasing administrative tasks
- Customer experience becomes consistent
- Staff capacity frees for higher-value work
- Scale without proportional headcount
Active Campaigns Settings
Configure SMS
Configure Email
Past Customers Forget You Exist.
Old Leads Sit In Your Database, Dead.
You have a system for new leads. What about everything else? Win-backs, upsells, promos, referrals—that's where the easy money is.
Your Current System
The default. How most businesses operate.
They bought 8 months ago. You haven't talked since. Competitor sends a promo. They switch.
Send once. Maybe follow up. No sequence. No persistence. Most people miss it entirely.
Thousands of contacts who never converted. Too much work to re-engage. They just... sit there.
Happy customer? Maybe someone remembers to ask for a referral. Usually they don't.
Reply Stats Campaign Engine
Unlimited campaigns. Any trigger. Any contact.
Past customers get multi-touch sequences. 7 attempts across SMS, email, AI calls. They remember you exist.
Not one blast. A real campaign. Multiple touches, multiple channels, trackable results. 25 campaigns available.
Bulk trigger campaigns. "Not right now" becomes "right now" 6 months later. Mine your existing database.
Post-service trigger fires referral request campaign. Same contact, unlimited campaigns over their lifetime.
You paid $47 for that lead. Here's what happened to it.
The lead submitted. They were ready. By the time your rep called back, they'd already booked with the competitor whose system answered in 60 seconds.
Your rep saw the notification. They were on a call. Then lunch. Then another job. By the time they dialed, the lead had already talked to two competitors and booked with the one who answered first.
Now every lead gets contacted before your competitor reads the notification.
Lead submits form
They're comparing options. Picked you. Filled out the form. Ready to talk right now.
Competitor calls
Their system triggered instantly. AI called in 60 seconds. Lead answered. Appointment booked.
Your rep finally calls
Busy earlier. Lunch ran long. 96 minutes later. No answer. Voicemail. Move on. Never call back.
Lead bought elsewhere
Your $47 lead bought someone else a customer. Lead thinks you didn't want their business.
Instant multi-channel contact on every lead.
The system fires the moment a lead comes in. Text, email, AI call—configured to your business. No human delay. No missed windows.
If your rep doesn't respond in 15 minutes, AI picks up seamlessly. No lead left waiting.
Your competitor is reading the notification while your system already made contact. That's not speed—that's a structural advantage.
They booked the appointment. The chair was empty at 10:01.
The appointment was on the calendar. They meant to show up. But you never reminded them, never confirmed, never gave them a reason to prioritize you. 30% no-show rate. Every week.
They booked Thursday at 10am. Monday excitement faded by Wednesday. Kid got sick. Meeting ran long. They meant to call. Didn't. Your team sat there. Slot wasted. Nobody tried to reschedule. Repeat three times this week.
Now every appointment gets confirmed, reminded, and recovered automatically.
Appointment booked
Lead scheduled for Thursday at 10am. Told their spouse they finally booked it. Put it in their phone.
Silence
No confirmation. No reminder. No value. The appointment fades into their busy week.
Kid gets sick
Emergency comes up. Can't make it. Means to call but forgets. Feels bad. Never reschedules.
Empty chair
Your team sat there. Slot wasted. Nobody tried to reschedule. And this wasn't a bad week — this is every week.
A confirmation and recovery system that fills every seat.
From the moment they book, the system runs a strategic sequence: confirmation, value-add content, smart reminders, and instant no-show recovery.
They show up prepared, expecting a great experience. And when life does get in the way? The system reschedules before the slot goes cold.
Your biggest revenue leak isn't lead gen. It's the appointments you already closed that nobody showed up to.
Your past customers forgot you exist.
They bought from you. They were happy. Then you never talked to them again. Now they're buying from your competitor—not because they're better, but because they stayed in touch.
They loved your service. Told you they'd refer friends. Then 18 months of silence. When they needed you again, they couldn't remember your name. Googled it. Found your competitor. Booked with them instead. Zero acquisition cost to the competitor. Infinite loss to you.
The customers you already earned never drift to a competitor again.
Great experience
Customer bought. Loved the service. Already planning to come back. Meant it at the time.
Crickets
No follow-up. No check-in. No upsell. They slowly forgot who you were and what you did.
The problem comes back
They need your service again. Can't remember your name. Searches Google. Finds competitor.
Bought from competitor
Your best customer is now their best customer. They didn't spend a dollar to win them. You spent years earning them.
Automated reactivation, upsell, and referral campaigns.
The system identifies customers by recency—6, 12, 18 months since last purchase—and triggers the right campaign at the right moment.
Win-back sequences for dormant customers. Cross-sell campaigns based on purchase history. Referral asks timed to peak satisfaction. All automated.
The easiest sale you'll ever close is the customer who already trusts you. They just need a reason to come back—and you never gave them one.
Speed to Lead Report
Your leads are telling you everything. You just can't see it yet.
Every report below is built from your real data—response times, rep performance, source quality, follow-up persistence. One system that turns invisible revenue leaks into closed deals.
Your Speed to Lead Report · Nov 9, 2025 – Feb 6, 2026
17h 51m
average response time across 1143 leads. Industry leaders respond in under 5 minutes.
Median: 13h 32m
Leads Received
1143
872 contacted · 271 never reached
Never Contacted
271
$36K in estimated lost revenue
Conversion Rate
5.3%
61 of 1143 converted to sales
Under 5 Min Conv.
36.8%
vs 3.1% when over 1 hour
Why Response Speed Matters
Your actual conversion rates by response time bracket, compared to industry research.
Respond Under 5 Min
36.8%
conversion rate — 19 leads, 7 converted
Respond Over 1 Hour
3.1%
conversion rate — after 1 hr, MIT shows 10x drop in contact likelihood
The Gap
12x
higher conversion when fast — same leads, same product, only speed changed
| Response Time | Leads | Won | Win Rate | Research |
|---|---|---|---|---|
| <5 min | 19 | 7 | 36.8% | 391% more conversions under 1 min (Velocify) |
| 5-30 min | 32 | 6 | 18.8% | 100x more likely to connect vs 30 min (MIT) |
| 30m-2h | 146 | 16 | 11% | 7x less likely to qualify after 1 hr (HBR) |
| 2-8 hrs | 261 | 15 | 5.7% | Lead shopping competitors by now |
| 8-24 hrs | 416 | 14 | 3.4% | Competitor already responded (78% choose first — Lead Connect) |
| 24-48 hrs | 147 | 2 | 1.4% | Lead is cold — hard to re-engage |
| 48+ hrs | 122 | 1 | 0.8% | Dead lead — avg service business takes 47 hrs (Drift) |
Where Your Leads Are Getting Stuck
Response time distribution and time-of-day patterns showing when leads arrive vs. when they get answered.
Business Hours
Mon–Fri, 8am–6pm · 376 leads (33%)
2h 20m
After Hours
Evenings & early AM · 454 leads (40%)
19h 20m
Weekends
Sat & Sun · 313 leads (27%)
34h 20m
Response Time Distribution
1143 leads across 7 time buckets — only 1.7% get a response within 5 minutes
KEY FINDING: 67% of leads arrive outside business hours. After-hours leads wait 8x longer. Weekend leads wait 15x longer. These leads sit untouched until the next business day.
Is It Getting Better or Worse?
Daily response time trend and recent lead activity.
Are You Getting Faster?
No — 6% slower
First 30 days: 18h 40m avg → Last 30 days: 19h 52m avg
Revenue You're Losing
$909K
271 leads never contacted + slow responses on the rest
Fastest Day — Proof It's Possible
3h 22m
2025-11-11 (Tue) — 14 leads handled at this speed. If every day looked like this, you'd close more deals.
Slowest Day — What Went Wrong
66h 53m
2026-02-07 (Sat) — weekend, nobody was working. These 2 leads sat for 66h 53m before anyone responded.
| Date | Day | Leads | Avg Response | Biz Hours Avg | After Hours Avg |
|---|---|---|---|---|---|
| 2025-11-09 | Sun | 6 | 27h 59m | — | 27h 59m |
| 2025-11-10 | Mon | 12 | 5h 5m | 1h 35m | 12h 7m |
| 2025-11-11 | Tue | 14 | 3h 22m | 1h 34m | 7h 51m |
| 2025-11-12 | Wed | 11 | 9h 16m | 3h 15m | 16h 30m |
| 2025-11-13 | Thu | 18 | 9h 8m | 2h 51m | 16h 59m |
| 2025-11-14 | Fri | 20 | 9h 42m | 1h 7m | 18h 16m |
| 2025-11-15 | Sat | 10 | 53h 38m | — | 53h 38m |
| 2025-11-16 | Sun | 16 | 29h 25m | — | 29h 25m |
| 2025-11-17 | Mon | 8 | 7h 59m | 3h 1m | 12h 57m |
| 2025-11-18 | Tue | 10 | 9h 57m | 3h 50m | 14h 1m |
| 2025-11-19 | Wed | 24 | 7h 27m | 1h 20m | 13h 34m |
| 2025-11-20 | Thu | 14 | 9h 5m | 2h 21m | 14h 9m |
| 2025-11-21 | Fri | 17 | 14h 47m | 2h 23m | 25h 49m |
| 2025-11-22 | Sat | 17 | 54h 37m | — | 54h 37m |
| 2025-11-23 | Sun | 6 | 23h 28m | — | 23h 28m |
| 2025-11-24 | Mon | 11 | 11h 52m | 2h 38m | 15h 20m |
| 2025-11-25 | Tue | 21 | 10h 2m | 2h 17m | 13h 54m |
| 2025-11-26 | Wed | 15 | 7h 16m | 3h 5m | 15h 38m |
| 2025-11-27 | Thu | 12 | 9h 57m | 1h 22m | 16h 5m |
| 2025-11-28 | Fri | 14 | 13h 26m | 2h 14m | 17h 55m |
| 2025-11-29 | Sat | 9 | 56h 0m | — | 56h 0m |
| 2025-11-30 | Sun | 9 | 30h 5m | — | 30h 5m |
| 2025-12-01 | Mon | 13 | 9h 58m | 2h 48m | 14h 26m |
| 2025-12-02 | Tue | 8 | 12h 52m | 2h 9m | 14h 23m |
| 2025-12-03 | Wed | 11 | 11h 20m | 1h 50m | 14h 54m |
| 2025-12-04 | Thu | 8 | 5h 40m | 1h 24m | 9h 55m |
| 2025-12-05 | Fri | 13 | 11h 25m | 1h 5m | 20h 15m |
| 2025-12-06 | Sat | 15 | 55h 6m | — | 55h 6m |
| 2025-12-07 | Sun | 5 | 27h 32m | — | 27h 32m |
| 2025-12-08 | Mon | 21 | 12h 26m | 2h 59m | 16h 12m |
| 2025-12-09 | Tue | 10 | 11h 24m | 3h 46m | 16h 29m |
| 2025-12-10 | Wed | 15 | 7h 34m | 3h 8m | 12h 37m |
| 2025-12-11 | Thu | 13 | 11h 0m | 4h 32m | 15h 3m |
| 2025-12-12 | Fri | 15 | 14h 53m | 2h 5m | 26h 5m |
| 2025-12-13 | Sat | 18 | 53h 57m | — | 53h 57m |
| 2025-12-14 | Sun | 13 | 26h 36m | — | 26h 36m |
| 2025-12-15 | Mon | 10 | 7h 15m | 2h 15m | 12h 14m |
| 2025-12-16 | Tue | 14 | 9h 48m | 3h 21m | 13h 23m |
| 2025-12-17 | Wed | 10 | 13h 56m | 1h 54m | 16h 57m |
| 2025-12-18 | Thu | 16 | 9h 8m | 3h 42m | 12h 23m |
| 2025-12-19 | Fri | 9 | 8h 16m | 1h 55m | 13h 21m |
| 2025-12-20 | Sat | 17 | 52h 42m | — | 52h 42m |
| 2025-12-21 | Sun | 11 | 29h 17m | — | 29h 17m |
| 2025-12-22 | Mon | 6 | 7h 48m | 1h 44m | 13h 52m |
| 2025-12-23 | Tue | 10 | 11h 19m | 2h 20m | 17h 18m |
| 2025-12-24 | Wed | 11 | 8h 5m | 2h 38m | 11h 12m |
| 2025-12-25 | Thu | 13 | 9h 0m | 2h 27m | 14h 37m |
| 2025-12-26 | Fri | 16 | 13h 34m | 2h 38m | 20h 7m |
| 2025-12-27 | Sat | 12 | 50h 49m | — | 50h 49m |
| 2025-12-28 | Sun | 16 | 30h 20m | — | 30h 20m |
| 2025-12-29 | Mon | 10 | 10h 48m | 3h 51m | 13h 47m |
| 2025-12-30 | Tue | 9 | 10h 4m | 2h 21m | 16h 15m |
| 2025-12-31 | Wed | 9 | 6h 30m | 1h 51m | 15h 49m |
| 2026-01-01 | Thu | 10 | 9h 42m | 3h 25m | 15h 58m |
| 2026-01-02 | Fri | 10 | 19h 30m | 3h 11m | 35h 48m |
| 2026-01-03 | Sat | 12 | 51h 8m | — | 51h 8m |
| 2026-01-04 | Sun | 17 | 29h 18m | — | 29h 18m |
| 2026-01-05 | Mon | 18 | 10h 33m | 1h 48m | 17h 33m |
| 2026-01-06 | Tue | 11 | 8h 14m | 1h 34m | 16h 13m |
| 2026-01-07 | Wed | 17 | 8h 43m | 2h 40m | 12h 57m |
| 2026-01-08 | Thu | 15 | 5h 51m | 2h 3m | 13h 28m |
| 2026-01-09 | Fri | 12 | 12h 18m | 1h 55m | 26h 50m |
| 2026-01-10 | Sat | 12 | 52h 30m | — | 52h 30m |
| 2026-01-11 | Sun | 13 | 30h 34m | — | 30h 34m |
| 2026-01-12 | Mon | 16 | 6h 19m | 2h 16m | 13h 6m |
| 2026-01-13 | Tue | 11 | 7h 27m | 1h 59m | 11h 59m |
| 2026-01-14 | Wed | 18 | 4h 3m | 1h 21m | 9h 28m |
| 2026-01-15 | Thu | 10 | 8h 8m | 1h 49m | 12h 21m |
| 2026-01-16 | Fri | 14 | 15h 6m | 1h 31m | 25h 18m |
| 2026-01-17 | Sat | 9 | 52h 56m | — | 52h 56m |
| 2026-01-18 | Sun | 22 | 28h 10m | — | 28h 10m |
| 2026-01-19 | Mon | 12 | 4h 54m | 1h 57m | 9h 1m |
| 2026-01-20 | Tue | 9 | 8h 30m | 1h 11m | 14h 22m |
| 2026-01-21 | Wed | 15 | 9h 3m | 4h 28m | 12h 7m |
| 2026-01-22 | Thu | 8 | 14h 49m | — | 14h 49m |
| 2026-01-23 | Fri | 20 | 14h 49m | 1h 45m | 20h 25m |
| 2026-01-24 | Sat | 6 | 54h 55m | — | 54h 55m |
| 2026-01-25 | Sun | 5 | 30h 8m | — | 30h 8m |
| 2026-01-26 | Mon | 13 | 10h 38m | 2h 20m | 14h 20m |
| 2026-01-27 | Tue | 16 | 5h 32m | 59m | 10h 6m |
| 2026-01-28 | Wed | 12 | 8h 58m | 3h 14m | 13h 4m |
| 2026-01-29 | Thu | 15 | 9h 38m | 2h 56m | 13h 0m |
| 2026-01-30 | Fri | 10 | 12h 50m | 3h 16m | 19h 12m |
| 2026-01-31 | Sat | 8 | 54h 5m | — | 54h 5m |
| 2026-02-01 | Sun | 10 | 32h 18m | — | 32h 18m |
| 2026-02-02 | Mon | 10 | 11h 8m | 5h 13m | 13h 40m |
| 2026-02-03 | Tue | 18 | 10h 36m | 50m | 14h 22m |
| 2026-02-04 | Wed | 16 | 5h 35m | 1h 48m | 13h 53m |
| 2026-02-05 | Thu | 10 | 7h 52m | 3h 56m | 11h 48m |
| 2026-02-06 | Fri | 10 | 5h 22m | 4h 1m | 6h 16m |
| 2026-02-07 | Sat | 2 | 66h 53m | — | 66h 53m |
Recent Lead Activity
| Date | Day | Lead | Source | Rep | Response | Status | Context |
|---|---|---|---|---|---|---|---|
| Feb 6 8:32 PM | Fri | Mark Miller | Facebook Ads | Emily | 64h 31m | In Progress | After Hrs |
| Feb 6 8:03 PM | Fri | Susan Ramirez | Google Ads | Chris | 69h 15m | No Contact | After Hrs |
| Feb 6 4:15 PM | Fri | Linda Young | Google Ads | Marcus | 1h 0m | In Progress | Biz Hrs |
| Feb 6 1:11 PM | Fri | Brian Wilson | Inbound Call | Emily | 1h 42m | In Progress | Biz Hrs |
| Feb 6 12:30 PM | Fri | Andrew Gonzalez | Instagram Ads | Ryan | 4h 55m | In Progress | Biz Hrs |
| Feb 6 12:11 PM | Fri | Elizabeth King | Angie's List | Chris | 8h 25m | Won | Biz Hrs |
| Feb 6 8:39 AM | Fri | Carol Lewis | Website Forms | Amanda | 3h 38m | No Contact | After Hrs |
| Feb 6 8:20 AM | Fri | Margaret Young | Google My Business | Sarah | 4h 19m | No Contact | After Hrs |
| Feb 6 8:08 AM | Fri | Melissa Sanchez | Website Forms | Jessica | 5h 41m | In Progress | After Hrs |
| Feb 6 7:55 AM | Fri | Michelle Lee | Website Forms | Amanda | 2h 51m | In Progress | After Hrs |
| Feb 6 7:51 AM | Fri | Jennifer Perez | Facebook Ads | Emily | 6h 19m | In Progress | After Hrs |
| Feb 5 8:56 PM | Thu | Andrew Jones | Google Ads | Emily | 14h 45m | In Progress | After Hrs |
| Feb 5 5:54 PM | Thu | Robert Robinson | Website Forms | Sarah | 17h 58m | In Progress | After Hrs |
| Feb 5 1:15 PM | Thu | Susan Williams | Facebook Ads | David | 3h 11m | In Progress | Biz Hrs |
| Feb 5 12:47 PM | Thu | Kevin Taylor | Inbound Call | Chris | 1h 48m | In Progress | Biz Hrs |
| Feb 5 11:02 AM | Thu | Joseph Hill | Angie's List | Sarah | 5h 54m | In Progress | Biz Hrs |
| Feb 5 10:28 AM | Thu | Patricia Martin | Facebook Ads | Ryan | 5h 8m | In Progress | Biz Hrs |
| Feb 5 9:57 AM | Thu | Maria Walker | Google Ads | Emily | 3h 41m | No Contact | Biz Hrs |
| Feb 5 6:58 AM | Thu | Barbara White | Instagram Ads | David | 9h 32m | In Progress | After Hrs |
| Feb 5 5:51 AM | Thu | Donna Rodriguez | Facebook Live Chat | Emily | 5h 40m | In Progress | After Hrs |
| Feb 4 11:04 PM | Wed | Donna Johnson | Angie's List | Marcus | 13h 33m | No Contact | After Hrs |
| Feb 4 10:45 PM | Wed | Carol King | Inbound Call | Jessica | 12h 18m | In Progress | After Hrs |
| Feb 4 3:02 PM | Wed | Andrew Young | Facebook Ads | Emily | 4h 3m | In Progress | Biz Hrs |
| Feb 4 1:30 PM | Wed | Edward Ramirez | Google Ads | Chris | 2h 47m | Lost | Biz Hrs |
| Feb 4 1:05 PM | Wed | Kevin Walker | Yelp | Emily | 2h 49m | Lost | Biz Hrs |
Your Team Quits Too Early
Research says it takes 8 attempts to reach a prospect. Your team averages 2.4.
Cumulative Reach by Attempt #
Source: Velocify, 3.5M leads
Key: 95% of converted leads are reached by the 6th call. Your team averages 2.4 attempts.
Follow-Up Persistence by Rep
| Rep | Avg Attempts | Gave Up After 1 | 3+ Attempts | 5+ Attempts | 7+ Attempts |
|---|---|---|---|---|---|
| Sarah | 4.3 | 0.7% | 88.9% | 46.7% | 0% |
| Marcus | 3.1 | 1.7% | 80.2% | 0.8% | 0.8% |
| Amanda | 2.8 | 17.1% | 55.9% | 3.6% | 2.7% |
| Emily | 2.3 | 18.3% | 42.6% | 1.7% | 0.9% |
| David | 1.8 | 35.2% | 4.8% | 2.9% | 1% |
| Jessica | 1.8 | 33.6% | 4.3% | 1.7% | 0.9% |
| Ryan | 1.1 | 94.8% | 4.2% | 1% | 0% |
| Chris | 1.1 | 97.3% | 1.4% | 1.4% | 1.4% |
What the Research Says
Velocify · XANT/InsideSales · Brevet Group
95%
reached by 6th call
Velocify
85%
convert in first 3 calls
Velocify
81%
sellers make ≤5 attempts
XANT
+15%
more with 7+ attempts
XANT
You vs. Research Benchmarks
| Metric | You | Benchmark | Gap |
|---|---|---|---|
| Avg Contact Attempts | 2.4 | 6-8 attempts | Critical |
| Reps Who Quit After 1 Attempt | 32% | <10% | Critical |
| Leads Never Contacted | 271 (24%) | <5% | Critical |
| Reps Making 5+ Attempts | 9% | >50% | Critical |
BOTTOM LINE: You're leaving an estimated $909K on the table. Your average response time is 17h 51m — only 1.7% of leads hear back within 5 minutes. 271 leads were never contacted at all, representing $36K in lost revenue. Fast responses convert at 36.8% vs 3.1% when you wait over an hour — that's a 12x difference. 67% of leads arrive outside business hours with no one to answer. Your team averages 2.4 contact attempts — research says it takes 8. Two fixes: respond faster and follow up more. Both directly increase revenue.
Response Time by Day of Week
How your average response time changes depending on which day the lead arrives.
| Day | Total Leads | Overall Avg | Median | Biz Hrs Avg | After Hrs Avg | Biz Hrs Leads | After Hrs Leads | Weekend Leads | SLA <5m |
|---|---|---|---|---|---|---|---|---|---|
| Monday | 153 | 8h 56m | 6h 36m | 2h 26m | 14h 15m | 69 | 84 | 0 | 1.3% |
| Tuesday | 158 | 8h 56m | 6h 58m | 2h 2m | 14h 1m | 67 | 91 | 0 | 2.5% |
| Wednesday | 187 | 8h 1m | 5h 22m | 2h 23m | 13h 27m | 92 | 95 | 0 | 1.6% |
| Thursday | 164 | 9h 13m | 8h 8m | 2h 44m | 14h 9m | 71 | 93 | 0 | 0.6% |
| Friday | 168 | 23h 1m | 5h 47m | 2h 6m | 40h 44m | 77 | 91 | 0 | 5.4% |
| SaturdayWEEKEND | 148 | 47h 42m | 47h 40m | — | 47h 42m | 0 | 0 | 148 | 0% |
| SundayWEEKEND | 165 | 22h 21m | 22h 17m | — | 22h 21m | 0 | 0 | 165 | 0% |
Business Hours Avg
2h 20m
376 leads · 12% conversion rate
After Hours Avg
19h 20m
8x slower · 454 leads · 3% conv rate
Leads sit unread until next morning
Weekend Avg
34h 20m
15x slower · 313 leads · 1% conv rate
No staff on weekends — leads go cold
The Friday Problem & Weekend Dead Zone
A lead that arrives Friday at 5:01 PM doesn't get contacted until Monday morning. That's 63 hours of silence.
The Friday 5:01 PM Problem
Leads arriving Friday after 5 PM wait until Monday 9 AM
~63 hrs
average wait for Friday evening leads
The Weekend Dead Zone
Saturday & Sunday leads are completely abandoned
Saturday
47h 42m
148 leads
Sunday
22h 21m
165 leads
The Gap: Your business hours response is 2h 20m with a 12% conversion rate. After hours it jumps to 19h 20m (8x slower) and conversion drops to 3%. Weekends it's 34h 20m (15x slower) with only 1% converting. This gap is costing you an estimated $188K in lost revenue. If after-hours and weekend leads converted at your business-hours rate, that money would be yours.
Response Time by Hour of Day
Shows exactly when your response breaks down. Business hours (9 AM – 5 PM) are fast. Everything else waits.
Response Time by Lead Source
Which sources get the fastest response — and which are being ignored. Speed correlates directly with conversion rate.
Fastest Source
Facebook Live Chat
14h 24m
72 leads · 11.1% conversion rate
Fastest response = highest conversion
Slowest Source
Angie's List
19h 43m
57 leads · 1.8% conversion rate
If this source responded as fast as Facebook Live Chat, you'd close ~5 more deals ($13K)
| # | Lead Source | Leads | Overall Avg | Median | Biz Hrs Avg | After Hrs Avg | Wknd Avg | Biz Leads | After Leads | Wknd Leads | Conv % | SLA |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Facebook Live Chat | 72 | 14h 24m | 12h 36m | 1h 3m | 14h 0m | 30h 30m | 22 | 31 | 19 | 11.1% | 0% |
| 2 | Inbound Call(5 locations) | 178 | 15h 57m | 13h 2m | 60m | 16h 36m | 33h 3m | 58 | 72 | 48 | 7.3% | 8.4% |
| 3 | Instagram Ads | 106 | 17h 51m | 11h 56m | 3h 16m | 22h 36m | 34h 45m | 43 | 36 | 27 | 2.8% | 0.9% |
| 4 | Website Forms | 110 | 17h 55m | 14h 8m | 1h 55m | 15h 33m | 35h 24m | 26 | 53 | 31 | 3.6% | 0% |
| 5 | Google Ads | 253 | 17h 57m | 13h 32m | 2h 16m | 22h 6m | 32h 11m | 88 | 96 | 69 | 5.1% | 0.8% |
| 6 | Google My Business | 88 | 18h 37m | 15h 19m | 2h 20m | 17h 55m | 34h 3m | 26 | 33 | 29 | 5.7% | 0% |
| 7 | Yelp | 76 | 19h 9m | 13h 57m | 3h 9m | 17h 42m | 40h 17m | 25 | 30 | 21 | 5.3% | 0% |
| 8 | Facebook Ads | 203 | 19h 13m | 15h 5m | 2h 41m | 22h 20m | 35h 44m | 69 | 80 | 54 | 4.9% | 0.5% |
| 9 | Angie's List | 57 | 19h 43m | 14h 3m | 4h 23m | 20h 47m | 37h 32m | 19 | 23 | 15 | 1.8% | 0% |
KEY INSIGHT: It's not bad leads — it's slow response. Facebook Live Chat converts at 11.1% because it gets the fastest response (14h 24m). Angie's List converts at only 1.8% because it waits 19h 43m on average.
Source Detail Cards
See how each source performs during business hours vs. after hours. The gap reveals where leads are falling through the cracks.
#1 Fastest
Facebook Live Chat
#2 Fastest
Inbound Call
#3 Fastest
Instagram Ads
#4 Fastest
Website Forms
#5 Fastest
Google Ads
#6 Fastest
Google My Business
#7 Fastest
Yelp
#8 Fastest
Facebook Ads
#9 Fastest
Angie's List
Inbound Call — Location Breakdown
Same lead source, different locations. If one location responds faster and converts better, the others have a process problem.
Fastest Location
Southpark
13h 18m
average response time
#2
North Shore
16h 23m
average response time
#3
Eastgate
16h 30m
average response time
#4
Westside
16h 38m
average response time
#5
Downtown
17h 7m
average response time
LOCATION INSIGHT: Southpark is the fastest location at 13h 18m. Downtown is the slowest at 17h 7m. Same lead source, different locations, different speeds — this is a process problem, not a lead quality problem.
Sales Rep Performance Scorecard
Who's fast, who's slow, and how it directly impacts their close rate. Speed = revenue.
Fastest Rep (Business Hours)
Sarah Chen
1h 8m
5% conversion · 161 leads · $20K revenue
Slowest Rep (Business Hours)
Chris Williams
5h 12m
1.6% conversion · 129 leads · $5K revenue
If Chris responded as fast as Sarah, ~4 more deals ($10K)
| Grade | Sales Rep | Leads | Overall Avg | Median | Biz Hrs Avg | After Hrs Avg | Weekend Avg | <5m | 5m–1h | >1h | Conv % | SLA |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| C | Sarah Chen | 161 | 15h 57m | 12h 44m | 1h 8m | 17h 45m | 31h 44m | 3 | 5 | 153 | 5% | 1.9% |
| C | Marcus Johnson | 146 | 14h 32m | 12h 14m | 1h 21m | 18h 38m | 29h 13m | 1 | 2 | 143 | 5.5% | 0.7% |
| C | Amanda Foster | 140 | 18h 53m | 14h 36m | 1h 24m | 17h 57m | 32h 24m | 3 | 2 | 135 | 7.9% | 2.1% |
| C | Emily Rodriguez | 149 | 14h 39m | 10h 43m | 1h 45m | 14h 28m | 32h 37m | 1 | 2 | 146 | 8.7% | 0.7% |
| D | Jessica Thompson | 159 | 19h 18m | 14h 25m | 2h 10m | 19h 23m | 39h 9m | 3 | 0 | 156 | 3.8% | 1.9% |
| D | David Kim | 137 | 17h 22m | 10h 10m | 3h 0m | 22h 11m | 32h 8m | 1 | 0 | 136 | 5.1% | 0.7% |
| D | Ryan Patel | 122 | 21h 43m | 17h 23m | 3h 34m | 22h 44m | 36h 59m | 4 | 0 | 118 | 4.9% | 3.3% |
| F | Chris Williams | 129 | 21h 36m | 17h 25m | 5h 12m | 22h 18m | 41h 22m | 3 | 1 | 125 | 1.6% | 2.3% |
Rep Detail Cards
How each rep performs during business hours, after hours, and weekends — plus what percentage of their leads they respond to quickly.
Speed Bracket Distribution
Speed Bracket Distribution
Speed Bracket Distribution
Speed Bracket Distribution
Speed Bracket Distribution
Speed Bracket Distribution
Speed Bracket Distribution
Speed Bracket Distribution
Speed Bracket Conversion by Rep
Proves the speed-to-close connection for each individual rep. Fast responses close more deals — every time.
| Sales Rep | Under 1 Min | Under 5 Min | Under 15 Min | Over 15 Min | Overall | ||||
|---|---|---|---|---|---|---|---|---|---|
| Leads | Conv% | Leads | Conv% | Leads | Conv% | Leads | Conv% | ||
| CSarah Chen | 1 | 100% | 2 | 0% | 5 | 60% | 153 | 2.6% | 5% |
| CMarcus Johnson | 0 | — | 1 | 0% | 2 | 0% | 143 | 5.6% | 5.5% |
| CAmanda Foster | 0 | — | 3 | 66.7% | 2 | 100% | 135 | 5.2% | 7.9% |
| CEmily Rodriguez | 0 | — | 1 | 0% | 2 | 50% | 146 | 8.2% | 8.7% |
| DJessica Thompson | 0 | — | 3 | 33.3% | 0 | — | 156 | 3.2% | 3.8% |
| DDavid Kim | 0 | — | 1 | 0% | 0 | — | 136 | 5.1% | 5.1% |
| DRyan Patel | 1 | 100% | 3 | 66.7% | 0 | — | 118 | 2.5% | 4.9% |
| FChris Williams | 0 | — | 3 | 0% | 1 | 0% | 125 | 1.6% | 1.6% |
TEAM INSIGHT: Sarah Chen is the fastest rep at 1h 8m during business hours with a 5% conversion rate. Chris Williams is the slowest at 5h 12m with a 1.6% conversion rate. Speed directly correlates with sales performance across every rep on your team.
Per-Rep Speed → Conversion Curves
Every rep converts better when they respond faster. The data proves it.
| Speed Bracket | Leads | Won | Conv % |
|---|---|---|---|
| <5 min | 3 | 1 | 33.3% |
| 5-30 min | 14 | 3 | 21.4% |
| 30m-2h | 32 | 3 | 9.4% |
| 2-8 hrs | 20 | 1 | 5% |
| 8+ hrs | 92 | 0 | 0% |
| Speed Bracket | Leads | Won | Conv % |
|---|---|---|---|
| <5 min | 1 | 0 | 0% |
| 5-30 min | 9 | 0 | 0% |
| 30m-2h | 37 | 5 | 13.5% |
| 2-8 hrs | 23 | 1 | 4.3% |
| 8+ hrs | 76 | 2 | 2.6% |
| Speed Bracket | Leads | Won | Conv % |
|---|---|---|---|
| <5 min | 3 | 2 | 66.7% |
| 5-30 min | 6 | 2 | 33.3% |
| 30m-2h | 17 | 3 | 17.6% |
| 2-8 hrs | 18 | 1 | 5.6% |
| 8+ hrs | 96 | 3 | 3.1% |
| Speed Bracket | Leads | Won | Conv % |
|---|---|---|---|
| <5 min | 1 | 0 | 0% |
| 5-30 min | 2 | 1 | 50% |
| 30m-2h | 29 | 3 | 10.3% |
| 2-8 hrs | 38 | 6 | 15.8% |
| 8+ hrs | 79 | 3 | 3.8% |
| Speed Bracket | Leads | Won | Conv % |
|---|---|---|---|
| <5 min | 3 | 1 | 33.3% |
| 5-30 min | 0 | 0 | — |
| 30m-2h | 18 | 2 | 11.1% |
| 2-8 hrs | 41 | 2 | 4.9% |
| 8+ hrs | 97 | 1 | 1% |
| Speed Bracket | Leads | Won | Conv % |
|---|---|---|---|
| <5 min | 1 | 0 | 0% |
| 5-30 min | 0 | 0 | — |
| 30m-2h | 10 | 0 | 0% |
| 2-8 hrs | 51 | 4 | 7.8% |
| 8+ hrs | 75 | 3 | 4% |
| Speed Bracket | Leads | Won | Conv % |
|---|---|---|---|
| <5 min | 4 | 3 | 75% |
| 5-30 min | 0 | 0 | — |
| 30m-2h | 2 | 0 | 0% |
| 2-8 hrs | 31 | 0 | 0% |
| 8+ hrs | 85 | 3 | 3.5% |
| Speed Bracket | Leads | Won | Conv % |
|---|---|---|---|
| <5 min | 3 | 0 | 0% |
| 5-30 min | 1 | 0 | 0% |
| 30m-2h | 1 | 0 | 0% |
| 2-8 hrs | 39 | 0 | 0% |
| 8+ hrs | 85 | 2 | 2.4% |
Individual Lead Records by Rep
The 10 most recent leads for each rep showing response time, contact status, and conversion outcome.
| Date | Day | Lead | Source | Campaign / Detail | Response | Status | Context |
|---|---|---|---|---|---|---|---|
| Feb 6 | Fri | Margaret Young | Google My Business | GMB Message | 4h 19m | No Contact | After Hrs |
| Feb 5 | Thu | Robert Robinson | Website Forms | /services/botox | 17h 58m | In Progress | After Hrs |
| Feb 5 | Thu | Joseph Hill | Angie's List | Angi Request | 5h 54m | In Progress | Biz Hrs |
| Feb 4 | Wed | David Williams | Instagram Ads | DM for Pricing | 14m | Lost | Biz Hrs |
| Feb 4 | Wed | Patricia King | Instagram Ads | Client Testimonial | 19m | Lost | Biz Hrs |
| Feb 3 | Tue | Carol Moore | Facebook Live Chat | FB Comment → DM | 10h 32m | Lost | After Hrs |
| Feb 3 | Tue | Jessica Hernandez | Facebook Ads | Holiday Gift Cards | 34m | Won | Biz Hrs |
| Feb 2 | Mon | Steven Moore | Website Forms | /services/facial | 11h 39m | Lost | After Hrs |
| Feb 2 | Mon | Jeffrey Williams | Google My Business | GMB Message | 15h 27m | Lost | After Hrs |
| Feb 2 | Mon | Matthew Thomas | Inbound Call | (512) 555-0147 | 15h 37m | Lost | After Hrs |
| Date | Day | Lead | Source | Campaign / Detail | Response | Status | Context |
|---|---|---|---|---|---|---|---|
| Feb 6 | Fri | Linda Young | Google Ads | Local Services Ads | 1h 0m | In Progress | Biz Hrs |
| Feb 4 | Wed | Donna Johnson | Angie's List | Angi Booking | 13h 33m | No Contact | After Hrs |
| Feb 4 | Wed | Brian Lewis | Instagram Ads | Before & After Reel | 54m | Lost | Biz Hrs |
| Feb 3 | Tue | Kevin Walker | Website Forms | /services/lip-filler | 20m | Lost | Biz Hrs |
| Feb 2 | Mon | Nancy Perez | Google My Business | GMB Call Click | 13h 42m | Lost | After Hrs |
| Feb 1 | Sun | Thomas Clark | Google Ads | Competitor Conquest | 12h 14m | No Contact | Weekend |
| Feb 1 | Sun | Karen Thompson | Google Ads | Competitor Conquest | 13h 34m | Lost | Weekend |
| Feb 1 | Sun | Betty Johnson | Yelp | Yelp Message | 17h 26m | No Contact | Weekend |
| Jan 31 | Sat | Ashley Rodriguez | Google My Business | GMB Message | 38h 39m | No Contact | Weekend |
| Jan 29 | Thu | Daniel Taylor | Instagram Ads | Influencer Collab | 2h 56m | Lost | Biz Hrs |
| Date | Day | Lead | Source | Campaign / Detail | Response | Status | Context |
|---|---|---|---|---|---|---|---|
| Feb 6 | Fri | Carol Lewis | Website Forms | /new-client-offer | 3h 38m | No Contact | After Hrs |
| Feb 6 | Fri | Michelle Lee | Website Forms | /book-now | 2h 51m | In Progress | After Hrs |
| Feb 4 | Wed | William Gonzalez | Inbound Call | (512) 555-0231 | 56m | No Contact | Biz Hrs |
| Feb 4 | Wed | Kevin Lewis | Yelp | Yelp Message | 2h 14m | Lost | Biz Hrs |
| Feb 3 | Tue | Thomas Harris | Yelp | Yelp Request a Quote | 2h 30m | Lost | Biz Hrs |
| Feb 1 | Sun | Jennifer Jackson | Yelp | Yelp Message | 22h 40m | Lost | Weekend |
| Jan 31 | Sat | Mark Lee | Facebook Ads | Lip Filler Launch | 39h 19m | No Contact | Weekend |
| Jan 31 | Sat | Linda Johnson | Facebook Ads | New Client 20% Off | 46h 0m | Lost | Weekend |
| Jan 31 | Sat | Sarah Anderson | Google My Business | GMB Message | 45h 54m | Lost | Weekend |
| Jan 30 | Fri | Daniel Moore | Angie's List | Angi Request | 61h 20m | Lost | After Hrs |
| Date | Day | Lead | Source | Campaign / Detail | Response | Status | Context |
|---|---|---|---|---|---|---|---|
| Feb 6 | Fri | Mark Miller | Facebook Ads | Summer Glow Special | 64h 31m | In Progress | After Hrs |
| Feb 6 | Fri | Brian Wilson | Inbound Call | (512) 555-0147 | 1h 42m | In Progress | Biz Hrs |
| Feb 6 | Fri | Jennifer Perez | Facebook Ads | New Client 20% Off | 6h 19m | In Progress | After Hrs |
| Feb 5 | Thu | Andrew Jones | Google Ads | Local Services Ads | 14h 45m | In Progress | After Hrs |
| Feb 5 | Thu | Maria Walker | Google Ads | Botox Near Me | 3h 41m | No Contact | Biz Hrs |
| Feb 5 | Thu | Donna Rodriguez | Facebook Live Chat | FB Auto-Reply Thread | 5h 40m | In Progress | After Hrs |
| Feb 4 | Wed | Andrew Young | Facebook Ads | Lip Filler Launch | 4h 3m | In Progress | Biz Hrs |
| Feb 4 | Wed | Kevin Walker | Yelp | Yelp Request a Quote | 2h 49m | Lost | Biz Hrs |
| Feb 4 | Wed | Carol Martinez | Inbound Call | (512) 555-0147 | 1h 23m | Lost | Biz Hrs |
| Feb 3 | Tue | Paul Lopez | Google My Business | GMB Booking | 18h 22m | Lost | After Hrs |
| Date | Day | Lead | Source | Campaign / Detail | Response | Status | Context |
|---|---|---|---|---|---|---|---|
| Feb 6 | Fri | Melissa Sanchez | Website Forms | /services/botox | 5h 41m | In Progress | After Hrs |
| Feb 4 | Wed | Carol King | Inbound Call | (512) 555-0231 | 12h 18m | In Progress | After Hrs |
| Feb 4 | Wed | Margaret Smith | Website Forms | /new-client-offer | 2h 47m | Lost | Biz Hrs |
| Feb 4 | Wed | Matthew Johnson | Yelp | Yelp Request a Quote | 7h 24m | Lost | After Hrs |
| Feb 3 | Tue | William Wilson | Inbound Call | (512) 555-0147 | 3m | Lost | Biz Hrs |
| Feb 3 | Tue | James Thompson | Facebook Live Chat | FB Comment → DM | 43m | Lost | Biz Hrs |
| Feb 2 | Mon | Dorothy Allen | Google My Business | GMB Booking | 3h 6m | Lost | Biz Hrs |
| Feb 1 | Sun | Ashley Robinson | Google My Business | GMB Call Click | 20h 21m | Lost | Weekend |
| Jan 31 | Sat | Sandra Jackson | Angie's List | Angi Booking | 49h 9m | No Contact | Weekend |
| Jan 30 | Fri | Nancy White | Facebook Ads | Summer Glow Special | 65h 33m | Lost | After Hrs |
| Date | Day | Lead | Source | Campaign / Detail | Response | Status | Context |
|---|---|---|---|---|---|---|---|
| Feb 5 | Thu | Susan Williams | Facebook Ads | Summer Glow Special | 3h 11m | In Progress | Biz Hrs |
| Feb 5 | Thu | Barbara White | Instagram Ads | Client Testimonial | 9h 32m | In Progress | After Hrs |
| Feb 4 | Wed | Jessica Allen | Inbound Call | (512) 555-0147 | 1h 27m | Lost | Biz Hrs |
| Feb 3 | Tue | Emily Allen | Facebook Live Chat | FB Comment → DM | 15h 20m | No Contact | After Hrs |
| Feb 3 | Tue | Karen Jackson | Website Forms | /book-now | 8h 1m | Won | After Hrs |
| Feb 2 | Mon | Andrew Johnson | Facebook Live Chat | FB Comment → DM | 16h 14m | Lost | After Hrs |
| Jan 30 | Fri | Nancy Young | Inbound Call | (512) 555-0147 | 2h 43m | Lost | Biz Hrs |
| Jan 30 | Fri | Emily Perez | Inbound Call | (512) 555-0147 | 3h 32m | No Contact | After Hrs |
| Jan 29 | Thu | Steven Rodriguez | Google Ads | Med Spa [City] | 4h 12m | No Contact | Biz Hrs |
| Jan 29 | Thu | Jason Williams | Google Ads | Performance Max - Services | 11h 11m | Lost | After Hrs |
| Date | Day | Lead | Source | Campaign / Detail | Response | Status | Context |
|---|---|---|---|---|---|---|---|
| Feb 6 | Fri | Andrew Gonzalez | Instagram Ads | Client Testimonial | 4h 55m | In Progress | Biz Hrs |
| Feb 5 | Thu | Patricia Martin | Facebook Ads | Holiday Gift Cards | 5h 8m | In Progress | Biz Hrs |
| Feb 4 | Wed | Joseph Young | Yelp | Yelp Message | 17h 44m | No Contact | After Hrs |
| Feb 3 | Tue | Susan Lee | Google My Business | GMB Message | 8h 7m | Won | After Hrs |
| Feb 2 | Mon | Ronald Thompson | Inbound Call | (512) 555-0147 | 16h 22m | Lost | After Hrs |
| Feb 2 | Mon | David Ramirez | Yelp | Yelp Request a Quote | 13h 41m | Lost | After Hrs |
| Feb 2 | Mon | Paul Harris | Website Forms | /services/facial | 12h 38m | No Contact | After Hrs |
| Feb 1 | Sun | Edward Rodriguez | Inbound Call | (512) 555-0147 | 16h 0m | Lost | Weekend |
| Jan 31 | Sat | Ronald Young | Google Ads | Brand - Exact Match | 42h 57m | No Contact | Weekend |
| Jan 28 | Wed | Jennifer Gonzalez | Facebook Live Chat | FB Auto-Reply Thread | 13h 15m | Lost | After Hrs |
| Date | Day | Lead | Source | Campaign / Detail | Response | Status | Context |
|---|---|---|---|---|---|---|---|
| Feb 6 | Fri | Susan Ramirez | Google Ads | Botox Near Me | 69h 15m | No Contact | After Hrs |
| Feb 6 | Fri | Elizabeth King | Angie's List | Angi Booking | 8h 25m | Won | Biz Hrs |
| Feb 5 | Thu | Kevin Taylor | Inbound Call | (512) 555-0147 | 1h 48m | In Progress | Biz Hrs |
| Feb 4 | Wed | Edward Ramirez | Google Ads | Botox Near Me | 2h 47m | Lost | Biz Hrs |
| Feb 3 | Tue | George Thompson | Instagram Ads | Story Swipe Up | 24h 44m | In Progress | After Hrs |
| Feb 3 | Tue | Linda Thomas | Facebook Ads | Retargeting - Site Visitors | 9h 48m | No Contact | After Hrs |
| Feb 3 | Tue | Robert Ramirez | Facebook Ads | Lip Filler Launch | 10h 26m | Lost | After Hrs |
| Feb 2 | Mon | Barbara Garcia | Instagram Ads | New Service Launch | 6h 47m | Lost | Biz Hrs |
| Feb 2 | Mon | Matthew Hernandez | Google Ads | Performance Max - Services | 5h 46m | Lost | Biz Hrs |
| Feb 1 | Sun | Ashley Perez | Yelp | Yelp Booking | 22h 24m | Lost | Weekend |
REP DRILL-DOWN: Showing the 10 most recent leads for each of your 8 reps. Look for patterns: who responds fast consistently, who lets leads sit, and how that maps to their close rate and revenue.
The Research: Speed Kills — or Saves — the Deal
Six independent studies, 3.5M+ leads analyzed, same conclusion: the business that responds first wins the deal.
391% more conversions when responding under 1 minute
Velocify (2012) · Analyzed 3.5 million leads across multiple industries
100x more likely to connect with lead within 5 minutes vs 30 minutes
MIT / InsideSales.com (2007) · Studied 15,000+ leads and 100,000+ call attempts
7x more likely to qualify lead within 1 hour vs 2 hours
Harvard Business Review (2011) · Audited 2,241 companies across industries
78% of buyers purchase from the first responder
Lead Connect (2020) · Survey of B2B and B2C purchasing behavior
Average B2B company takes 42 hours to respond to a lead
Drift (2021) · Mystery-shopped 433 companies
5-minute response = 8x higher conversion than 10-minute response
Vendasta (2023) · Analyzed local business lead response data
Research-Based Conversion Decay Curve
Relative conversion probability by response time (based on combined research)
Sources: Velocify (391% under 1 min), MIT/InsideSales (100x under 5 min), HBR (7x under 1 hr), Lead Connect (78% first responder)
Your Data Proves It
Your own 1143 leads prove the research is right. Here's your actual speed-to-conversion curve — it matches the published data almost exactly.
Current Avg Response
17h 51m
across 1143 leads — target is under 5 min
If All Under 5 Min
36.8%
win rate — 7x your current rate
Never Contacted
271
24% of leads got zero response
| Response Time | Leads | Won | Win Rate | Research Says |
|---|---|---|---|---|
| <5 min | 19 | 7 | 36.8% | 391% more conversions under 1 min (Velocify) |
| 5-30 min | 32 | 6 | 18.8% | 100x more likely to connect vs 30 min (MIT) |
| 30m-2h | 146 | 16 | 11% | 7x less likely to qualify after 1 hr (HBR) |
| 2-8 hrs | 261 | 15 | 5.7% | Lead shopping competitors by now |
| 8-24 hrs | 416 | 14 | 3.4% | Competitor already responded (78% choose first — Lead Connect) |
| 24-48 hrs | 147 | 2 | 1.4% | Lead is cold — hard to re-engage |
| 48+ hrs | 122 | 1 | 0.8% | Dead lead — avg service business takes 47 hrs (Drift) |
What This Is Costing You
This isn't hypothetical. These numbers come from your CRM data. The gap between your current conversion rate and what you'd get at sub-5-minute response = money left on the table.
Estimated Missed Revenue (Last 90 Days)
Current conversion
5.3%
61 sales from 1143 leads
Potential (all under 5m)
36.8%
421 potential sales
Missed conversions
360
deals lost to slow response
Missed revenue/month
~$300,000
at $2,500 avg deal value
Reply Stats Fixes This
Automated response in under 60 seconds. 24/7/365.
Your Current
17h 51m
With Reply Stats
<60s
THE PROOF: Your data matches the research exactly. Leads responded to under 5 minutes convert at 36.8%. Your overall rate is 5.3%. That gap represents approximately $300,000/month in missed revenue. Speed is the single biggest lever you have.
Follow-Up & Revenue Impact
Your team gives up too early. Research says 8 attempts to reach a prospect, 95% of conversions by the 6th call. Your team averages 2.4. Here's what that costs you.
Total Revenue (Est.)
$153K
61 deals × $2,500 avg deal
Money Left on Table
$71K
From never-contacted + low-persistence leads
Your Avg Attempts
2.4
vs 8 attempts recommended (Brevet Group)
Never Contacted
271
24% of leads you paid for got zero follow-up
The Research — Verified Data from Real Studies
95%
of converted leads reached by 6th call
Velocify — 3.5M leads
85%
of conversions happen within first 3 calls
Velocify — 3.5M leads
81%
of sellers make 5 or fewer attempts
XANT/InsideSales — 30M interactions
50%
of leads received NO response at all
XANT/InsideSales — Lead Response Audit
8
cold call attempts to reach a prospect
Brevet Group
+15%
more connections with 7+ attempts
XANT/InsideSales — 30M interactions
4.47
avg touches per lead (12 recommended)
XANT/InsideSales — Lead Response Audit
Where the Money Is: Attempts → Conversion → Revenue
Your actual data: how many leads at each attempt level, what converted, and the revenue generated.
| Contact Attempts | Leads | Converted | Conv Rate | Revenue | Rev / Lead |
|---|---|---|---|---|---|
| 0 (Never Contacted) | 271 | 0 | 0% | $0 | $0 |
| 1 Attempt | 281 | 8 | 2.8% | $20K | $71 |
| 2 Attempts | 248 | 12 | 4.8% | $30K | $121 |
| 3 Attempts | 165 | 12 | 7.3% | $30K | $182 |
| 4 Attempts | 101 | 12 | 11.9% | $30K | $297 |
| 5 Attempts | 34 | 6 | 17.6% | $15K | $441 |
| 6+ Attempts | 43 | 11 | 25.6% | $28K | $640 |
| TOTAL | 1143 | 61 | 5.3% | $153K | $133 |
THE BOTTOM LINE: Your team averages 2.4 attempts per lead. Research says it takes 8 attempts to reach a prospect (Brevet Group) and 95% of converted leads are reached by the 6th call (Velocify, 3.5M leads). Yet 271 leads were never contacted and an estimated $71K in potential revenue is being left on the table.
Follow-Up by Lead Source
Some sources get 5+ follow-up attempts. Others get abandoned after one call. The revenue difference is massive.
| Source | Leads | Never Contacted | Avg Attempts | 1 Attempt Only | 3+ Attempts | 5+ Attempts | Converted | Conv % | Revenue | Rev/Lead | Lost Rev |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Google Ads | 253 | 63 (24.9%) | 2.7 | 25.3% | 46.3% | 12.1% | 13 | 5.1% | $33K | $128 | $30K |
| Inbound Call | 178 | 34 (19.1%) | 2.3 | 36.1% | 38.9% | 7.6% | 13 | 7.3% | $33K | $183 | $30K |
| Facebook Ads | 203 | 45 (22.2%) | 2.4 | 35.4% | 36.7% | 10.1% | 10 | 4.9% | $25K | $123 | $25K |
| Facebook Live Chat | 72 | 17 (23.6%) | 2.2 | 36.4% | 34.5% | 3.6% | 8 | 11.1% | $20K | $278 | $18K |
| Google My Business | 88 | 29 (33%) | 2.6 | 20.3% | 45.8% | 8.5% | 5 | 5.7% | $13K | $142 | $13K |
| Yelp | 76 | 10 (13.2%) | 2.3 | 28.8% | 37.9% | 3% | 4 | 5.3% | $10K | $132 | $8K |
| Website Forms | 110 | 25 (22.7%) | 2.4 | 36.5% | 38.8% | 8.2% | 4 | 3.6% | $10K | $91 | $10K |
| Instagram Ads | 106 | 28 (26.4%) | 2.4 | 37.2% | 38.5% | 11.5% | 3 | 2.8% | $8K | $71 | $8K |
| Angie's List | 57 | 20 (35.1%) | 2 | 37.8% | 18.9% | 5.4% | 1 | 1.8% | $3K | $44 | $3K |
Top Revenue Source
Google Ads
$33K from 13 deals
Avg 2.7 attempts · 5.1% conv
Most Abandoned Source
Angie's List
35.1% never contacted (20 leads)
$3K potential lost revenue
Lowest Persistence Source
Angie's List
Only 2 avg attempts
37.8% one-and-done · 5.4% at 5+
KEY INSIGHT: Your highest-revenue sources are the ones getting the most follow-up attempts. Sources with low persistence (<2 avg attempts) are generating significantly less revenue per lead. The data shows a direct correlation: more attempts = more money.
Follow-Up by Rep — Where the Money Is
Your top revenue rep follows up the most. Your lowest revenue rep gives up the fastest. This isn't a coincidence.
| Rep | Leads | Never Contacted | Avg Attempts | 1 Attempt Only | 3+ Attempts | 5+ Attempts | 7+ Attempts | Converted | Conv % | Revenue | Rev/Lead | Lost Rev |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Emily | 149 | 34 (22.8%) | 2.3 | 18.3% | 42.6% | 1.7% | 0.9% | 13 | 8.7% | $33K | $218 | $25K |
| Amanda | 140 | 29 (20.7%) | 2.8 | 17.1% | 55.9% | 3.6% | 2.7% | 11 | 7.9% | $28K | $196 | $20K |
| Sarah | 161 | 26 (16.1%) | 4.3 | 0.7% | 88.9% | 46.7% | 0% | 8 | 5% | $20K | $124 | $8K |
| Marcus | 146 | 25 (17.1%) | 3.1 | 1.7% | 80.2% | 0.8% | 0.8% | 8 | 5.5% | $20K | $137 | $10K |
| David | 137 | 32 (23.4%) | 1.8 | 35.2% | 4.8% | 2.9% | 1% | 7 | 5.1% | $18K | $128 | $18K |
| Jessica | 159 | 43 (27%) | 1.8 | 33.6% | 4.3% | 1.7% | 0.9% | 6 | 3.8% | $15K | $94 | $15K |
| Ryan | 122 | 26 (21.3%) | 1.1 | 94.8% | 4.2% | 1% | 0% | 6 | 4.9% | $15K | $123 | $25K |
| Chris | 129 | 56 (43.4%) | 1.1 | 97.3% | 1.4% | 1.4% | 1.4% | 2 | 1.6% | $5K | $39 | $10K |
Top Revenue Rep
Emily
$33K
Revenue
2.3
Avg Attempts
8.7%
Conv Rate
Lowest Revenue Rep
Chris
$5K
Revenue
1.1
Avg Attempts
1.6%
Conv Rate
THE PATTERN IS CLEAR: Emily averages 2.3 attempts and generates $33K in revenue. Chris averages 1.1 attempts and generates $5K. More follow-up attempts = more revenue. It's that simple.
The Revenue Equation
Three scenarios based on your actual data. Each one shows how much revenue you're leaving on the table right now.
Your Current Numbers
1,143
Total Leads
5.3%
Conv Rate
$2,500
Avg Deal
= CURRENT ESTIMATED REVENUE
$153K
If You Contacted All Leads
271 leads were never contacted. If they converted at even half your current rate...
Additional conversions:
+7
Additional revenue:
+$18K
If Avg Attempts Went to 5
Velocify: 95% of conversions happen by the 6th call. Your team averages 2.4. If you doubled persistence...
Estimated conversion rate increase:
+3.2%
Additional revenue:
+$69K
If You Did Both
Contact every lead + increase persistence to 5+ attempts. The combined revenue impact:
Total additional revenue:
+$87K
New total revenue:
$240K
The Research Is Clear — All Verified Sources
It takes 8 cold call attempts to reach a prospect (Brevet Group). 95% of converted leads are reached by the 6th call (Velocify, 3.5M leads). 85% of conversions happen within the first 3 calls (Velocify). 7+ attempts yields 15% more connections (XANT/InsideSales, 30M interactions). Yet 81% of sellers make 5 or fewer attempts and 50% of leads receive no response at all (XANT). Your team averages 2.4 attempts. Every additional attempt is money.
Every Study & Statistic
This isn't opinion — it's peer-reviewed research and real-world data from 33.5 million leads. Every stat in this report comes from one of these 11 verified studies. We excluded the commonly-cited fake "NSEA" statistics that most sales blogs still use.
Total Studies
11
Individual Stats
49
Total Leads Studied
33.5M+
Velocify 3.5M + XANT 30M
Debunked Stats
12
From fake "NSEA" org
Speed to Lead Studies
6 studiesVelocify "Ultimate Contact Strategy"
Velocify (now ICE Mortgage Technology)
Dataset
3.5 million leads across multiple industries
Source: Velocify "The Ultimate Guide to Inquiry Response"
Cited by: MarketingCharts, Thryv, Kixie, LeadAngel, ChiliPiper
MIT / InsideSales.com Lead Response Management Study
MIT (Dr. James Oldroyd) + InsideSales.com
Dataset
15,000+ leads and 100,000+ call attempts
Source: "The Short Life of Online Sales Leads" — James B. Oldroyd, Kristina McElheran, David Elkington
Cited by: Harvard Business Review, Kixie, Voiso, Revenue.io
Harvard Business Review Audit
Harvard Business Review
Dataset
2,241 companies across industries
Source: "The Short Life of Online Sales Leads" — Harvard Business Review, March 2011
Cited by: Kixie, Casey Response, ChiliPiper, Verse.ai
Drift "State of Conversational Marketing"
Drift / ServiceBell
Dataset
Mystery-shopped 433 companies
Source: Drift / ServiceBell Lead Response Report (2021)
Cited by: Revenue.io, Kixie
Lead Connect Buyer Behavior Study
Lead Connect
Dataset
Survey of B2B and B2C purchasing behavior
Source: Lead Connect Manager (2020)
Cited by: Casey Response, Kixie, ChiliPiper
Verse.ai / Various Lead Response Compilations
Verse.ai
Dataset
Aggregated from multiple studies
Source: verse.ai/blog/speed-to-lead-statistics
Cited by: N/A
Follow-Up & Persistence Studies
5 studiesXANT/InsideSales Lead Response Management (Updated)
XANT (formerly InsideSales.com)
Dataset
30 million interactions
Source: XANT/InsideSales Lead Response Management Study (2021 Infographic)
Cited by: Geckoboard, Flowlu, SalesGenie
Brevet Group Sales Statistics
The Brevet Group
Dataset
Aggregated industry data
Source: blog.thebrevetgroup.com/21-mind-blowing-sales-stats
Cited by: Widely cited across sales training industry
Cognism State of Cold Calling Report
Cognism
Dataset
Cognism platform data
Source: Cognism 2025 State of Cold Calling Report
Cited by: N/A
RAIN Group Sales Research
RAIN Group
Dataset
Buyer survey data
Source: RAIN Group Sales Research
Cited by: IRC Sales Solutions, Flowlu
Yesware Email Follow-Up Study
Yesware
Dataset
Email tracking data
Source: Yesware Email Study
Cited by: SalesGenie
Quick Reference: All Statistics
| Stat | Finding | Source | Category |
|---|---|---|---|
| 391% | More conversions when responding within 1 minute | Velocify (now ICE Mortgage Technology) (2012 / 2015) | Speed to Lead |
| 50%+ | Conversion lift cut by more than half when waiting just 2 minutes vs 1 minute | Velocify (now ICE Mortgage Technology) (2012 / 2015) | Speed to Lead |
| 95% | Of converted leads are reached by the 6th call attempt | Velocify (now ICE Mortgage Technology) (2012 / 2015) | Speed to Lead |
| 85% | Of conversions occur within the first 3 calls | Velocify (now ICE Mortgage Technology) (2012 / 2015) | Speed to Lead |
| 51% | Of converted leads are contacted on the first attempt | Velocify (now ICE Mortgage Technology) (2012 / 2015) | Speed to Lead |
| 50% | Of leads are only called once (then abandoned) | Velocify (now ICE Mortgage Technology) (2012 / 2015) | Speed to Lead |
| 45% | Less likely to convert when leads require more than 7 calls to reach | Velocify (now ICE Mortgage Technology) (2012 / 2015) | Speed to Lead |
| 6 | Optimal number of call attempts | Velocify (now ICE Mortgage Technology) (2012 / 2015) | Speed to Lead |
| 3% | Of leads are contacted within the first few minutes | Velocify (now ICE Mortgage Technology) (2012 / 2015) | Speed to Lead |
| 50%+ | Of leads not contacted until 48+ hours later | Velocify (now ICE Mortgage Technology) (2012 / 2015) | Speed to Lead |
| 100x | More likely to connect with a lead within 5 minutes vs 30 minutes | MIT (Dr. James Oldroyd) + InsideSales.com (2007) | Speed to Lead |
| 21x | More likely to qualify a lead within 5 minutes vs 30 minutes | MIT (Dr. James Oldroyd) + InsideSales.com (2007) | Speed to Lead |
| 8x | Higher conversion rates within 5 minutes vs 6+ minutes | MIT (Dr. James Oldroyd) + InsideSales.com (2007) | Speed to Lead |
| 80% | Drop in odds of qualifying a lead when response time exceeds 5 minutes | MIT (Dr. James Oldroyd) + InsideSales.com (2007) | Speed to Lead |
| 10x | Drop in likelihood of making successful contact after 60 minutes | MIT (Dr. James Oldroyd) + InsideSales.com (2007) | Speed to Lead |
| 4x | Reduction in qualification chances when waiting 10 minutes instead of 5 | MIT (Dr. James Oldroyd) + InsideSales.com (2007) | Speed to Lead |
| 7x | More likely to qualify when contacting within 1 hour vs waiting 2 hours | MIT (Dr. James Oldroyd) + InsideSales.com (2007) | Speed to Lead |
| 90% | Contact rate reached by the 6th call | XANT (formerly InsideSales.com) (2016 / 2021) | Follow-Up & Persistence |
| 15% | More connections when making 7+ follow-up attempts | XANT (formerly InsideSales.com) (2016 / 2021) | Follow-Up & Persistence |
| 81% | Of sellers make 5 or fewer follow-up attempts | XANT (formerly InsideSales.com) (2016 / 2021) | Follow-Up & Persistence |
| 77.71% | Of leads did not receive a sales call | XANT (formerly InsideSales.com) (2016 / 2021) | Follow-Up & Persistence |
| 4.7% | Of leads achieved the optimal 5-minute callback window | XANT (formerly InsideSales.com) (2016 / 2021) | Follow-Up & Persistence |
| 44 hrs | Average response time across all companies studied | XANT (formerly InsideSales.com) (2016 / 2021) | Follow-Up & Persistence |
| 50% | Of leads received NO response at all | XANT (formerly InsideSales.com) (2016 / 2021) | Follow-Up & Persistence |
| 12 | Recommended number of touch points with leads | XANT (formerly InsideSales.com) (2016 / 2021) | Follow-Up & Persistence |
| 4.47 | Average number of touches leads actually received (vs 12 recommended) | XANT (formerly InsideSales.com) (2016 / 2021) | Follow-Up & Persistence |
| 9.4% | Of leads received the recommended 12 touches | XANT (formerly InsideSales.com) (2016 / 2021) | Follow-Up & Persistence |
| <15% | Of contact attempts occur within the first day | XANT (formerly InsideSales.com) (2016 / 2021) | Follow-Up & Persistence |
| 1.3 | Average call attempts per lead before giving up (2008-2012 data) | XANT (formerly InsideSales.com) (2016 / 2021) | Follow-Up & Persistence |
| 7x | More likely to qualify a lead within 1 hour vs 2 hours | Harvard Business Review (2011) | Speed to Lead |
| 60x | Less likely to qualify a lead if waiting 24+ hours vs within 1 hour | Harvard Business Review (2011) | Speed to Lead |
| 37% | Of companies responded to leads within 1 hour | Harvard Business Review (2011) | Speed to Lead |
| 47% | Of businesses failed to respond within 24 hours | Harvard Business Review (2011) | Speed to Lead |
| 42 hrs | Average first response time across all companies | Harvard Business Review (2011) | Speed to Lead |
| 24% | Of companies took more than 24 hours to respond | Harvard Business Review (2011) | Speed to Lead |
| 23% | Of companies never responded at all | Harvard Business Review (2011) | Speed to Lead |
| 42 hrs | Average B2B company response time to a lead | Drift / ServiceBell (2021) | Speed to Lead |
| 55% | Of companies take 5+ days to respond | Drift / ServiceBell (2021) | Speed to Lead |
| 7% | Of companies responded within 5 minutes | Drift / ServiceBell (2021) | Speed to Lead |
| 47 hrs | Average service business response time | Drift / ServiceBell (2021) | Speed to Lead |
| 78% | Of customers buy from the first company that responds to their inquiry | Lead Connect (2020) | Speed to Lead |
| 8 | Average cold call attempts needed to reach a prospect | The Brevet Group (Ongoing) | Follow-Up & Persistence |
| 3 | Average cold call attempts to connect with a lead | Cognism (2025) | Follow-Up & Persistence |
| 82% | Of buyers accept meetings with sellers who proactively reach out | RAIN Group (Ongoing) | Follow-Up & Persistence |
| 70% | Of sales emails require a follow-up email to get a reply | Yesware (Ongoing) | Follow-Up & Persistence |
| 47% | Of businesses failed to respond to leads within 24 hours | Verse.ai (2024-2026) | Speed to Lead |
| 37% | Of companies responded to their leads within an hour | Verse.ai (2024-2026) | Speed to Lead |
| 73% | Of leads are never contacted at all (worst case across studies) | Verse.ai (2024-2026) | Speed to Lead |
| 27% | Of leads ever get contacted (best case interpretation) | Verse.ai (2024-2026) | Speed to Lead |
Speed Decay Timeline
Every minute costs you money| Time Window | Impact | Source |
|---|---|---|
| < 1 minute | +391% conversion rate | Velocify (3.5M leads) |
| < 5 minutes | 100x more likely to connect | MIT / InsideSales (100K calls) |
| < 5 minutes | 21x more likely to qualify | MIT / InsideSales (100K calls) |
| 5 minutes | 80% drop in qualification odds | MIT / InsideSales |
| 5 → 10 minutes | 4x reduction in qualification chances | MIT / InsideSales |
| < 30 minutes | 21x less effective than 5 min response | MIT / InsideSales |
| < 1 hour | 7x more likely to qualify vs 2+ hours | Harvard Business Review (2,241 companies) |
| 1 hour+ | 10x drop in successful contact likelihood | MIT / InsideSales |
| 24 hours+ | 60x less likely to qualify vs 1 hour | Harvard Business Review |
| 42-47 hours | Average B2B response time (industry norm) | Drift (433 companies) / HBR |
| 48+ hours | 50%+ of leads still not contacted | Velocify (3.5M leads) |
| 5+ days | 55% of companies take this long | Drift (433 companies) |
| Never | 23-77% of leads never contacted at all | HBR (23%), XANT (50%), XANT (77%) |
Follow-Up Attempt Benchmarks
From verified studies| Metric | Value | Source |
|---|---|---|
| Avg cold call attempts to reach prospect | 8 | Brevet Group |
| Avg cold call attempts to connect | 3 | Cognism (2025) |
| Recommended total touch points | 12 | XANT/InsideSales (30M interactions) |
| Avg touches leads actually receive | 4.47 | XANT/InsideSales |
| Avg call attempts before giving up (2008-2012) | 1.3 | InsideSales / Geckoboard |
| Sellers making 5 or fewer attempts | 81% | XANT/InsideSales (30M interactions) |
| Leads receiving recommended 12 touches | 9.4% | XANT/InsideSales |
| Cumulative reach by 3rd call | 85% | Velocify (3.5M leads) |
| Cumulative reach by 6th call | 95% | Velocify (3.5M leads) |
| Contact rate by 6th call | 90% | XANT/InsideSales (30M interactions) |
| Additional connections from 7+ attempts | +15% | XANT/InsideSales (30M interactions) |
| Buyers who accept meetings from proactive sellers | 82% | RAIN Group |
| Sales emails needing follow-up for reply | 70% | Yesware |
| Customers buying from first responder | 78% | Lead Connect (2020) |
Debunked Statistics
Not used in this reportWarning: The following statistics are widely cited across the internet (by Salesforce, Microsoft, Marketing Donut, IRC Sales Solutions, GrowthList, and hundreds of other sites) but were debunked by VentureBeat in 2014. They are all attributed to the "National Sales Executive Association" (NSEA) — an organization that does not exist and never existed. These numbers are completely fabricated and have been blindly copied for decades. None of these stats are used in this report.
| Fake Statistic | Attributed To | Status |
|---|---|---|
| 2% of sales on 1st contact | National Sales Executive Association (NSEA) | Debunked |
| 3% of sales on 2nd contact | NSEA | Debunked |
| 5% of sales on 3rd contact | NSEA | Debunked |
| 10% of sales on 4th contact | NSEA | Debunked |
| 80% of sales on 5th-12th contact | NSEA | Debunked |
| 44% of salespeople give up after 1 follow-up | NSEA / Marketing Donut | Debunked |
| 22% give up after 2 follow-ups | NSEA / Marketing Donut | Debunked |
| 14% give up after 3 follow-ups | NSEA / Marketing Donut | Debunked |
| 12% give up after 4 follow-ups | NSEA / Marketing Donut | Debunked |
| 92% quit by the 4th "no" | NSEA / Marketing Donut | Debunked |
| 80% of sales need 5+ follow-ups | NSEA / Marketing Donut | Debunked |
| 8% of salespeople get 80% of the sales | NSEA / Marketing Donut | Debunked |
Source: VentureBeat (2014) — "These Incredible Sales Stats Everyone Cites Are Actually Completely False" by Stewart Rogers
You're spending real money on your sales and marketing department. $20K, $50K, $100K, $200K a month. Leads come in. Your team gets to them when they get to them—47 minutes, 2 hours, next day. By then, they've already talked to your competitor.
Appointments book, but 20-30% don't show. Your team sends reminders when they remember. Sometimes that's the day of. Sometimes not at all.
You have a database of tens of thousands of past leads and customers. You haven't talked to most of them in months. Maybe years. Every month, you look at the numbers and know money is walking out the door.