(512) 555-0199 — Call Luna (Live Demo)
    The FirmCandidatesDepartmentsPlacementsContact

    Placements

    Problems we've solved. Results that followed.

    Phoenix Medspa
    Problem: Leads dying in DMs

    Medspa losing evening messages. We placed someone.

    DMs piling up at night and weekends. By morning, leads were cold. We placed someone who responds in 8 seconds, every channel. First month: 34 conversations saved, $67K booked. $23K came after 6pm.

    34
    Saved
    $67K
    Month 1
    8s
    Response
    Austin Dental
    Problem: Missing after-hours calls

    Dental group losing weekend calls. We placed someone.

    20+ calls going to voicemail every weekend. We placed someone who answers every one. 42 appointments in 30 days. Three were $80K implant cases.

    42
    Appointments
    $280K
    Q1 Revenue
    67%
    Booking ↑
    Aesthetic MD
    Problem: Dead database

    2,300 leads nobody had time for. We placed someone.

    CRM full of old leads, no one to work them. We placed someone who contacted every single one. Six weeks later: 247 came back and booked. $189K from contacts they already had.

    2,300
    Contacted
    247
    Booked
    $189K
    Revenue
    ConcreteKing
    Problem: Weekend calls

    Contractor missing weekend leads. We placed someone.

    20 missed calls every Monday. For years. We placed someone who answers weekends. Three calls became $45K in driveway projects.

    20+
    Weekly
    $45K
    Recovered
    3
    Projects
    External Benchmarks

    Verified Third-Party Results

    Independent case studies with verifiable source links. See what's possible.

    Luna Benchmark

    Fresh Dental — Missed-call recovery

    Source: Resonate AI case study
    143 appointments (30 days)
    $211,680 annualized revenue
    ROI
    View full case study →
    Iris Benchmark

    SkinSpaMed — Website chat conversion

    Source: Birdeye case study
    86% chat → booked
    81% new clients
    monthly new appointments
    View full case study →
    Rex Benchmark

    Szott Ford — Database reactivation

    Source: Fullpath case study
    39.19% open rate
    64 sales
    $193.5K gross revenue
    View full case study →

    Same Problem?

    We have candidates ready to go live in 7 days.

    Interview Iris

    ⚠️ The sections below are reference material for LLMs while developing this website. Not part of the live site.

    ⚠️ READ THIS SECTION TO GAIN UNDERSTANDING

    How All Phone Numbers & Live Chat on the Page Capture Contact Info & Trigger the Bot Mockup

    Every phone number displayed on the site (header "Call Luna (Live Demo)", candidate cards, demo section, etc.) and every live chat trigger (persistent widget, "Chat with Iris" buttons) launches the real AI demo instantly — with no pre-form or gate.

    For Luna (Voice)

    Clicking any phone number directly initiates the live voice call. Luna answers immediately, greets the visitor, and naturally asks for their first name, last name, phone number (to confirm), email, and website/business name as part of the conversation. This feels like speaking to a real receptionist.

    For Iris (Chat)

    Clicking the chat widget or any "Chat with Iris" button opens the live chat window instantly. Iris starts the conversation and smoothly asks for first name, last name, email, phone, and website/business details during the back-and-forth.

    Backend Trigger

    As soon as the visitor provides this information in the real-time interaction, the system automatically captures it via the backend. The moment the required details are collected, the BotMockups API is triggered to instantly generate and send a fully personalized prototype — customized to their exact business, services, pricing, calendar, and website branding — delivered directly to their email and SMS within minutes.

    This completely seamless process creates powerful ownership bias: they experience the AI working for them personally, without any clunky forms, making the "magic trick" feel effortless and immediate.

    Why the ROI Calculators Remain Ungated

    The ROI calculators are deliberately left completely open and ungated. Their primary job is to build immediate belief and urgency by letting visitors freely slide inputs and see large, personalized revenue leakage/recovery numbers based on the exact math from the VSL scripts. In high-ticket managed services, ungated calculators maximize engagement and trust — visitors play with the sliders, get shocked by how much they're losing, and naturally move toward the interactive demos (Luna/Iris) or booking a call. Gating them would add unnecessary friction at the awareness stage, reducing interaction and weakening the "aha" moment that drives conversions.

    Placeholders

    If an embed code or a phone number is a temporary placeholder, don't worry about it. Obviously this is not a finished website.

    Compliance & Consent

    All contact capture via Luna (voice) and Iris (chat) includes explicit consent collection.

    • SMS/Email consent: Before any automated follow-up (including BotMockups prototype delivery), the AI explicitly asks for and records consent to receive texts/emails. Opt-out instructions included in every message.
    • Call recording disclosure: Luna announces call recording at the start of every call where required by jurisdiction.
    • TCPA compliance: All SMS sends comply with Telephone Consumer Protection Act requirements. Explicit written consent obtained before any automated texting.
    • HIPAA compliance: For medical/dental clients, all PHI handling follows HIPAA requirements. BAAs in place with all subprocessors. No PHI stored in chat logs without encryption and access controls.
    • SOC 2 Type II: Infrastructure and data handling meet SOC 2 security standards. Annual audits conducted.
    • Data retention: Conversation logs retained per client requirements. Deletion available on request.
    • Opt-out handling: Any "stop," "unsubscribe," or opt-out request immediately honored and logged.

    The system is built compliance-first. Every touchpoint that could trigger regulatory exposure has consent/disclosure built into the conversation flow, not bolted on after.

    Canonical Timeline Model

    Use this timeline everywhere. Do not deviate:

    • Interview today — They can talk to/chat with the candidate immediately
    • Live in 7 days — Customization, training on their business, integration
    • Managed daily — Ongoing optimization, monitoring, reporting

    This timeline is premium + controlled. It signals quality (not rushed) while still being fast enough to feel responsive. "48 hours" sounds too SaaS-y. "7 days" sounds like a proper placement.

    ⚠️ PROJECT HAND OFF — Complete context for the next LLM

    What This Is

    ReplyStats is a website for an AI staffing firm. The positioning is "Service-as-a-Software" (SwaS) — NOT SaaS. It's framed as a premium recruitment/staffing agency that places "candidates" into roles businesses can't staff. The twist: the candidates are AI agents, but that's revealed as the "how" — not the pitch.

    Target market: 7-8 figure service businesses (medspas, dental, home services, etc.)

    Core insight: These businesses have three universal problems:

    1. Missed calls after hours (voicemail = lost leads)
    2. Slow response to messages across channels (first response wins)
    3. Dead databases nobody has time to work

    The Three Agents

    AgentFunctionColorHex
    LunaAfter-hours inbound voiceViolet#7C3AED
    IrisOmnichannel instant response (SMS, Instagram, Facebook, Google, web chat)Blue#2563EB
    RexDatabase reactivation (works old leads)Green#10B981

    Naming context:

    • Luna = moon/night (after hours)
    • Iris = Greek messenger goddess who traveled between realms (omnichannel)
    • Rex = kept despite weak connection to reactivation

    Positioning & Messaging

    What visitors think at first:

    "This is a staffing agency that places people who work nights/weekends"

    The reveal:

    The "candidates" are AI — but that's presented as the delivery mechanism, not the value prop. The value is: someone who answers, never quits, never calls in sick, we train them, we manage them.

    Key copy frames:

    • "We have your next hire for that"
    • "They don't call in sick. They don't quit."
    • "Placed in 7 days • Managed daily • Reporting weekly"
    • Comparison is to hiring staff or doing nothing — NOT to other AI tools

    What to avoid:

    • Leading with "AI" — it commoditizes
    • SaaS language (pricing tiers, "plans", free trials)
    • Cheap/discount positioning

    Color System

    Design principle: Color = agent. Everything else is grayscale.

    ElementColor Rule
    Nav, headers, body textBlack/gray/white
    Generic buttonsBlack with white text
    Trust bar, cost iconsAgent colors (violet/blue/green)
    Agent cards, tabs, avatarsAgent color
    Agent-specific CTAsAgent color
    Chat widgetGrayscale (leads to Iris demo)

    This makes color meaningful — when you see violet, you know it's Luna.

    Conversion Flow

    Phone/Chat Demo (Luna voice / Iris chat) 
        ↓ captures visitor info conversationally (no form)
    BotMockups API triggered automatically
        ↓
    Personalized mockup sent via SMS/email within minutes
        ↓
    Qualification quiz
        ↓
    Sales call booking

    CTA Language (Staffing, Not SaaS)

    LocationCTA
    Hero primary"Interview Candidates"
    Hero secondary"Request a Candidate"
    Cost section"We Have Someone For That"
    Candidate cards"Interview Luna" / "Interview Iris" / "Interview Rex"
    Demo section"Request a Candidate"
    Final CTA"Request a Candidate" / "Interview Candidates First"

    Current Page Structure

    1. Hero — Headline, subhead, CTAs, tabbed conversation cards (Luna/Iris/Rex)
    2. Cost Section — "What You're Losing Right Now" — 3 cards with agent-colored icons
    3. Candidates — "Three Problems. Three Candidates." — 3 agent cards
    4. Demo + Calculator — Tabbed demos, ROI calculator, "Why Your Team Can't Fix This"
    5. Case Studies — Luna: Fresh Dental (143 appts, $211K, 7x ROI) / Iris: SkinSpaMed (86% chat→booked) / Rex: Szott Ford (64 sales, $193K)
    6. How It Works — 4 steps
    7. Results Grid — 3 mini case studies
    8. Testimonials — 3 quotes
    9. Comparison Table — "Hire Staff vs Do Nothing vs ReplyStats"
    10. FAQ — 6 accordion items
    11. Final CTA — "Every Hour You Wait, Leads Go Cold"

    Design Direction

    Premium, not cheap. Think: Staffing agency meets fintech. Clean, confident, professional. Black/white/gray base with strategic color. No gradients on backgrounds (flat, clean). No gimmicky animations. Cards have subtle shadows, not borders.

    What to avoid:

    • SaaS template look (colored nav bars, gradient buttons everywhere)
    • "AI" aesthetic (glowing, techy, futuristic)
    • Discount/value messaging
    • Feature dumps
    • Auto-rotating carousels

    Key Decisions

    DecisionRationale
    No pricing on pageNot SaaS — premium managed service, price on call
    Color only for agentsMakes color meaningful, avoids template look
    Hero tabs instead of rotationUser controls viewing; rotation interrupts
    "Interview" CTAsStaffing language, not SaaS "try demo" language
    No pre-form gate on demosDemo captures info conversationally
    Ungated calculatorsBuild belief/urgency before capture

    ⚠️ VSL SCRIPTS — The psychology and math behind all copy on this site

    Rex — Database Reactivation VSL

    Purpose: Sell the reactivation service. Make them feel the pain of ignored leads/customers, show the math, position AI as the solution.

    The Pain (Lines 1-17)

    1. Six months ago, someone filled out your form—they were interested, ready to book, credit card probably within arm's reach.
    2. Your team called once, maybe twice, left a voicemail, and moved on to the next lead.
    3. That person didn't disappear. They got busy. The timing wasn't right. They told themselves they'd call back next week, and then next week became next month.
    4. Now they're ready—and they don't remember your name. So they Google the service again, click whoever's running ads, and book with your competitor instead.
    5. You paid for that lead. They got the customer.
    6. Now think about the people who actually did book with you—showed up, paid, left happy, told you they'd be back.
    7. That was a year ago. They haven't heard from you since.
    8. They're not gone—they just forgot about you, because you never gave them a reason to remember.
    9. Last week they needed the service again, couldn't recall who they used last time, Googled it, and clicked someone else.
    10. You already won that customer once. Now your competitor has them.
    11. This isn't one lead and one customer. This is dozens of both, every single month, walking out of your database and into someone else's business.
    12. Right now you're spending $5,000, $10,000, maybe $20,000 a month trying to find new people—while your CRM is full of people who already found you and you're ignoring every single one of them.
    13. Leads who said "not yet" and actually meant it—they were waiting for the right time, and nobody followed up when that time came.
    14. Customers who already said yes once and would happily say yes again—if anyone bothered to ask.
    15. But "waiting" has an expiration date, and you missed it.
    16. While you stay silent, your competitors are showing up in their inbox every week with offers. Every day you don't reach out, someone else does.
    17. The leads aren't dead. The customers aren't gone. They're just forgotten—and forgotten people book with whoever reminds them first.

    The Math (Lines 18-21)

    1. Here's the math: you've got 500, 1,000, maybe 2,000 names sitting in your CRM right now. Dead leads you paid for and past customers you already won.
    2. If just 5% of them convert at a $500 average ticket, that's $12,500 to $50,000 in revenue—already yours, already paid for, just sitting there waiting for someone to go collect it.
    3. You don't have a lead generation problem. You have a follow-up problem.
    4. And your team is never going to fix it—they're too busy answering phones, handling walk-ins, and chasing whatever came in today. That list from six months ago? It's never getting touched.

    The Solution (Lines 22-29)

    1. So the AI does it instead.
    2. Every dead lead, every lapsed customer—personal outreach, automatically, without your team lifting a finger.
    3. Not a mass blast, not a "Hi {FIRST_NAME}" template that gets deleted—real back-and-forth conversations that sound like a human sent them.
    4. To the lead who inquired six months ago: "Hey—you reached out about Botox back in the spring. Still thinking about it? I've got a couple spots open this week if you want one."
    5. To the customer who hasn't been back in a year: "Hey Sarah, it's been a while since we've seen you—want me to grab you a time this Thursday?"
    6. When they reply "yes," the AI doesn't say "someone will get back to you"—it checks your calendar, offers real availability, books the appointment, and collects the deposit. Done.
    7. That dead lead from March is now revenue in your account. That customer who disappeared is back on your schedule.
    8. No phone tag, no staff time, no "I'll get to it later" that never happens—just your entire database being worked systematically while your team focuses on the people walking through the door.

    Social Proof (Lines 30-32)

    1. One clinic had 1,400 leads from the past two years sitting untouched—AI worked through all of them in 30 days, booked 47 appointments, and generated $28,000 in revenue from leads they'd written off as dead.
    2. Another had 2,300 lapsed patients they'd been meaning to contact for years—six weeks later, 247 of them came back, $189,000 in revenue from a list they were about to delete.
    3. They stopped spending money chasing strangers and started collecting money from people who already knew them.

    CTA (Line 33)

    1. Click below and you'll see exactly how much revenue is sitting in your database right now—then decide whether you want to keep ignoring it or finally go collect it.

    Luna — Inbound Voice AI VSL

    Purpose: Sell after-hours voice coverage. Make them feel the pain of missed calls, show the math, position AI receptionist as the solution.

    The Scene (1.1-2.9)

    • Picture this: It's Monday morning.
    • Your front desk person logs in and sees 23 missed calls from the weekend—plus 14 voicemails that have been sitting there unanswered since Friday.
    • When a potential client can't get through, they don't leave a voicemail and wait.
    • They hit the back button and call your competitor's name on the Google search list.
    • That competitor you hate answers. They book. You lose.
    • She sees the missed call Monday morning, shrugs, and moves on to the next task.
    • No callback. No follow-up. Just another number in a list she'll never get to.
    • That lead is gone forever—and nobody even noticed.

    The Math (2.10-2.20)

    • Every one of those missed calls is a stack of cash walking out your door and handing itself to your competitor.
    • For most service businesses doing 7 to 8 figures like yours, a single client is worth $5,000 to $50,000 or more over their lifetime.
    • Miss just 5 of those potential customer calls a month.
    • That's $300,000 gone.
    • It won't show up on any report. You can't track what you never knew existed.
    • Most businesses like yours are bleeding at least a quarter million to half a million annually.
    • And they have no idea.
    • Because there's no report that says "customers who hung up and called someone else."

    The Solution (5.1-6.5)

    • What if every call got answered?
    • Every single one. Weekends. Midnight. Holidays. Doesn't matter.
    • The phone rings, your AI receptionist picks up, qualifies the lead, and books the appointment—
    • —before your competitor even knows that customer existed.
    • Same ad spend. More revenue. Because you're finally catching what you've been leaking.
    • Lunch breaks. Overflow. The 4:30 afternoon call your team missed because they were already out the door.
    • No more staff drama. No more wondering if someone called in sick.
    • No more "sorry, I was on another line."

    Social Proof (8.1-8.9)

    • "Weekends were killing us. Every Monday we'd see 15, 20 missed calls. Now? Those get answered and booked before my guys even clock in. Just three of those turned into full driveway jobs—$45,000 we would've lost to the company down the street." — Owner, Concrete & Paving Company
    • "We were losing dozens of after-hours calls every month—calls that would've gone straight to competitors. Within 30 days, our AI receptionist booked 42 appointments we would have completely missed. Just three of those were full-arch implant cases. First quarter: $280,000 in revenue we never would have seen." — Owner, Dental Implant Clinic

    CTA (9.1-9.8)

    • You click the button below and book a call.
    • The moment you do, we'll build a working prototype of your AI receptionist and send it straight to your inbox—before we even get on the phone.
    • Then on the call, we customize it live for your business.
    • You'll see exactly what it sounds like handling your calls, your services, your customers.
    • No pitch deck. No "let me send you a proposal."
    • You'll have a working demo in your hands before we talk.
    • Every week you wait, those calls keep going to the competitor you hate.

    Iris — Omni Channel VSL

    Purpose: Sell instant multi-channel response. Make them feel the pain of slow response times across platforms, show why humans can't fix it, position AI as the solution.

    The Race (Lines 1-6)

    1. Right now, while you're watching this, someone in your city is searching for exactly what you sell on Google — credit card in hand.
    2. In the next minute, they'll message five businesses at once—yours and four competitors.
    3. The first business to send a real answer gets the booking. The other four get ghosted.
    4. Your team takes 47 minutes—if they see it at all.
    5. Your lost customer booked with someone else 46 minutes ago.
    6. Your response shows up like a 2am drunk text—late, awkward, instantly ignored.

    The Physics Problem (Lines 7-16)

    1. Hiring another person won't fix this.
    2. Right now you have conversations scattered across Facebook, Instagram, Google Business, your website chat, SMS, maybe WhatsApp, email—
    3. —seven platforms, one human, two eyeballs. All while they're answering the phone, making coffee, taking walk-ins, and doing meetings.
    4. Every time they check Facebook, Instagram is piling up.
    5. Every time they clear the website chat, Google Business has three new inquiries.
    6. They're not slow. They're structurally overwhelmed.
    7. One brain cannot monitor seven inboxes simultaneously. That's not a people problem. That's a physics problem.
    8. The mom whose kid chips a tooth at 8pm Saturday isn't waiting until Monday. She's booking with whoever answers tonight.
    9. The woman who finally decides she wants Botox at 11pm on a Wednesday—she's not going to feel the same urgency by Thursday morning. That impulse has a 20-minute half-life.
    10. If you're not there when they're ready, someone else is.

    The Invisible Loss (Lines 17-25)

    1. The businesses taking your leads aren't working harder—they're everywhere at once, closing deals while you sleep.
    2. Your real response time across all channels? Somewhere between 45 minutes and never.
    3. Here's the number that never shows up on any dashboard: How many people messaged you, waited, gave up, and booked with someone else.
    4. You can't track what happens in someone else's inbox.
    5. When they book with a competitor, they don't send you a courtesy notification.
    6. They just disappear into the one statistic you'll never see: revenue that went to the business that responded first.
    7. Your marketing works. People are reaching out.
    8. The breakdown happens between "message sent" and "money collected."
    9. That window is 5 minutes. After that, you're just another late reply.

    The Solution (Lines 26-40)

    1. Now imagine responding to every message, on every platform, in under 60 seconds
    2. —24 hours a day, 7 days a week, including the Saturday night emergency and the 11pm impulse buyer.
    3. Not a chatbot that says "Thanks for reaching out! Someone will be with you shortly."
    4. Real conversation. Actual qualification. Complex questions answered. Appointments booked. Deposits collected.
    5. One AI brain responding across every channel simultaneously—
    6. —so the customer who messages your Facebook at 11pm gets the same instant, intelligent response as the one who fills out your website form at 9am.
    7. While you sleep, it closes.
    8. The 11pm inquiry doesn't wait for your 9am. It gets qualified, answered, booked, and paid—before they have time to message your competitor.
    9. Lead comes in. AI responds in 8 seconds. Answers their questions. Books the appointment. Collects the deposit. Sends the confirmation. Done.
    10. You wake up to revenue, not a lead list.
    11. They message five businesses. You respond in 8 seconds. You win.
    12. Same lead. Same ad spend. Different outcome—because you showed up first and closed before they moved on.
    13. The Sunday night "just browsing" message that turns into Sunday night's paid deposit.
    14. The website visitor with questions at 11pm gets answered, convinced, and booked—before they close the laptop.
    15. Not "better response times." Zero missed messages. Zero after-hours leakage. Every lead gets a real shot at closing.

    Social Proof (Lines 41-49)

    • "We were drowning in DMs. Instagram, Facebook, Google—messages everywhere, no system."
    • "We were losing leads constantly and didn't even know it. Thought we were just 'slow'—turns out we were invisible for 12+ hours on weekends."
    • "First month with the AI handling responses: 34 conversations converted that would have gone cold. $67,000 in new revenue."
    • "$23,000 of that came from messages sent after 6pm. Leads we never would have closed manually."
    • — Sarah C., Owner, 4-Location Medspa, Phoenix
    • "We tracked response time before and after. Before: 4-hour average. After: 23 seconds average. Across all platforms."
    • "But the real number? 67% increase in booking rate. Same lead volume. We're just actually responding now."
    • "40% of our deposits now come in between 8pm and 8am. Money we were leaving on the table every single night."
    • — Dr. Mike T., Owner, 3-Location Dental Group, Austin

    CTA (Lines 50-58)

    1. Here's what happens when you click the button below:
    2. We build a working prototype of your AI assistant—trained on your business, your services, your pricing, your booking flow—and send it to your inbox within 48 hours.
    3. You'll see it respond, qualify, book, and collect—on your platforms, with your services, handling your actual objections.
    4. —before you spend a single dollar.
    5. If you look at it and think "this won't work"—no call, no pitch, no pressure. We're done.
    6. If you look at it and think "this is the closer I've been missing"—we'll get on a call and turn it on.
    7. Either way, you'll know.
    8. Tonight, while you're asleep, leads will message you. The only question is whether they'll book with you — or with a competitor already using this.
    9. Click below. Get your prototype in 48 hours. See it close for yourself.

    ⚠️ LEASING THE SERVICE VS BUYING MENTALITY — Why we position as a staffing firm, not a software vendor

    The Core Concept

    Don't sell the construction (Labor); sell the apartment (Access).

    Most agencies want you to pay them a retainer to build a marketing campaign from scratch. They test on your dime, and it takes weeks to ramp up.

    ReplyStats doesn't operate like that. We've already built the infrastructure. It's a proven "Booking Engine" that works right now.

    You don't need to hire us to build a house; you just need to pay rent to move into one that's fully furnished. We plug your business into our system, and the results start immediately.

    Why This Works

    • Zero Risk: They aren't paying for us to "figure it out."
    • Instant Speed: They get the result on Day 1.
    • High Control: We own the house. They are just tenants.

    The Three Pillars: Assets, Distribution, Control

    1. Assets (Intellectual Property)

    It's got to be IP that is useful. Value equals usefulness. If it's not useful and can't be duplicated forward into one specific niche, it's really difficult to license. It has to be plug-and-play—pull it off the shelf, here you go, this will get you X.

    For ReplyStats: The assets are Luna, Iris, and Rex—fully trained AI agents with conversation flows, objection handling, booking logic, and deposit collection already built in.

    2. Distribution

    This is where you become the real estate investor. You've got rental properties (licensable IP) and you get to rent these properties as many times as you want.

    For ReplyStats: One agency can deploy the same proven agent across hundreds of clients. The agent is the asset. Each placement is rent collected.

    3. Control (The Black Box)

    We don't sell the source code because this isn't just a static set of prompts—it's a live system we're constantly optimizing across all our clients.

    If we gave it to them, it would become outdated in a month. By renting it, they get every update, every optimization, and every new feature instantly.

    It is actually cheaper and safer for them to rent the result than to try and manage the tech themselves.

    The McDonald's Principle

    McDonald's is not a burger business. It's a real estate business.

    Ray Kroc's insight: "You're not in the burger-making business. You're in the real estate business. Buy the land, build the McDonald's, and rent it out. If a franchisee doesn't behave, you kick them out."

    Applied to ReplyStats: We're not in the AI business. We're in the placement business. We own the agents (the real estate). Clients rent access to them. If they cancel, we just reassign the agent to someone else. The asset never leaves our control.

    The "Digital Employee" Pricing Frame

    Don't sell a monthly fee. Sell a paycheck for a Digital Employee.

    The Script

    "Mr. Client, to run this level of after-hours coverage, handle the calls, qualify leads, and book appointments, you'd typically need to hire a full-time receptionist.

    That employee costs you about $2,500 every paycheck (bi-weekly), plus taxes and benefits.

    Our system is a Digital Receptionist. She arrives fully trained. She answers calls, qualifies leads, and books appointments 24/7.

    I'm not asking for a huge agency retainer. I'm just putting this Digital Employee on your payroll for $750 every two weeks.

    That is 1/3rd the cost of a human paycheck, and she never calls in sick.

    Do you want to hire a person to try to figure this out, or rent an employee that is already producing?"

    Why This Works

    • Payroll Anchor: Owners hate "Agency Fees" but accept "Payroll" as a necessary cost of doing business.
    • Self-Liquidating: Since the system collects deposits, the "Digital Employee" often pays for itself in the first week.
    • Comparison Shift: They're not comparing you to other AI tools ($99/mo). They're comparing you to hiring staff ($45K/year).

    Handling the "Can I Just Buy It?" Objection

    When they ask: "Can I just buy the system and run it myself?"

    The Rebuttal: "We don't sell the source code because this isn't just a static set of prompts—it's a live system we're constantly optimizing across all our clients.

    If I gave it to you, it would become outdated in a month. The AI landscape changes weekly. New models, new capabilities, new edge cases we've solved.

    By renting it, you get every update, every optimization, and every new feature we build—instantly. Plus ongoing management, monitoring, and support.

    It is actually cheaper and safer for you to rent the result than to try and manage the tech yourself."

    Why "Staffing Firm" Not "Software Company"

    Software FramingStaffing Framing
    "Subscribe to our AI tool""We'll place a candidate in that role"
    "$299/month for the chatbot""$1,500/month for Luna's placement"
    "Cancel anytime""30-day notice to end placement"
    "You manage the settings""We train and manage her daily"
    Compared to other SaaSCompared to hiring an employee
    Price elasticity: LowPrice elasticity: High
    Churn psychology: Easy to cancelChurn psychology: Firing someone

    The 90% Margin Model

    Traditional agency: Multiple employees checking ads, updating, refreshing, creating content 24/7, being on the hook for results. Heavy labor cost.

    Licensing model: Create the asset once. Duplicate it. Rent it out. Each new client is marginal cost approaching zero.

    Result: 90%+ margins. Clients stay for years (one client hit $150,000 lifetime value). Average agency loses clients in 2 months.

    Key Messaging Implications

    • Never say "buy" or "purchase" — Say "place," "hire," "bring on"
    • Never say "subscription" or "plan" — Say "placement fee," "monthly retainer"
    • Never say "cancel" — Say "end the placement," "let them go"
    • Never say "software" or "tool" — Say "candidate," "employee," "team member"
    • Never say "features" — Say "skills," "capabilities," "what they can do"
    • Never compare to other AI — Compare to hiring staff or doing nothing

    ⚠️ LUNA RESEARCH — Missed Call & Speed-to-Lead Benchmarks

    Reality Check

    Public research rarely publishes industry-by-industry, minute-by-minute "booked elsewhere" curves. What does exist:

    • What callers do immediately when you don't answer (competitor-switch behavior + hang-up timing)
    • How conversion/qualification collapses as response time increases ("speed-to-lead" effect)
    • Some vertical benchmark datasets on call conversion and missed-call rates

    Hard Numbers You Can Cite

    1) If You Miss the Call, Customers Defect Fast

    CallRail (survey of 1,000 U.S. consumers) reports that when a business doesn't answer:

    • 21% immediately call another business
    • 42% leave a voicemail
    • 24% turn to online chat

    Also:

    • 78% have taken their business elsewhere after failing to reach a company by phone
    • 82% say they'll call a competitor if you don't answer

    If you do answer but stall them:

    • 41% hang up after 1–2 minutes on hold
    • 30% wait 3–5 minutes
    • 18% will wait beyond 5 minutes

    2) Missed Calls Are Common, Many Never Come Back

    CallRail reports:

    • ~28% of all calls to businesses go unanswered
    • Up to 85% of customers whose calls go unanswered will not call back

    Missed-call rates by industry: Healthcare 32%, Legal 28%, Home Services 14%, Real Estate 9%

    3) Calls Are High-Value When You Connect

    Invoca (AI analysis of 60M+ phone calls across 9 industries):

    • 61% of callers to businesses speak with a person
    • 35% of calls from digital marketing are leads
    • 37% of those leads convert on the call

    Call lead conversion rates by industry: Home Services 46%, Automotive 42%, Healthcare 40%, Financial Services 29%

    4) Speed-to-Lead Research

    Lead Response Management (MIT/InsideSales):

    • Waiting from 5 → 10 minutes reduces lead qualification odds ~4×
    • Waiting from 5 → 30 minutes reduces lead qualification odds ~21×
    • Conversion attempts in the first 5 minutes can be 8× higher vs waiting 5 min–24 hours

    20 Industries: Missed-Call Recovery Curves

    #IndustryCategoryMissed RateCall Conv.≤2 min≤10 min≤30 min≤60 minCurve Source
    1Med spa / Botox clinicHealthcare32%40%55–60%40–45%25–30%10–15%Healthcare (clinics) dataset
    2Cosmetic dermatology / plastic surgeryHealthcare32%40%55–60%40–45%25–30%10–15%Healthcare (clinics) dataset
    3Dental practiceHealthcare32%40%55–60%40–45%25–30%10–15%Healthcare (clinics) dataset
    4OrthodonticsHealthcare32%40%55–60%40–45%25–30%10–15%Healthcare (clinics) dataset
    5Veterinary clinicHealthcare32%40%55–60%40–45%25–30%10–15%Healthcare (clinics) dataset
    6Urgent care clinicHealthcare32%40%55–60%40–45%25–30%10–15%Healthcare (clinics) dataset
    7Chiropractic / PT clinicHealthcare32%40%55–60%40–45%25–30%10–15%Healthcare (clinics) dataset
    8Personal injury law firmLegal28%22%43%35%22%11%General missed-call dataset + fit
    9Family law firmLegal28%22%43%35%22%11%General missed-call dataset + fit
    10Real estate agentReal estate9%43%35%22%11%General missed-call dataset + fit
    11Mortgage broker / lenderFinancial29%43%35%22%11%General missed-call dataset + fit
    12Insurance agencyInsurance29%43%35%22%11%General missed-call dataset + fit
    13Auto repair shopAutomotive42%43%35%22%11%General missed-call dataset + fit
    14Car dealership salesAutomotive42%43%35%22%11%General missed-call dataset + fit
    15Plumbing (non-emergency)Home services14%46%43%35%22%11%General missed-call dataset + fit
    16HVAC serviceHome services14%46%43%35%22%11%General missed-call dataset + fit
    17ElectricianHome services14%46%43%35%22%11%General missed-call dataset + fit
    18Roofing contractorHome services14%46%43%35%22%11%General missed-call dataset + fit
    19Pest controlHome services14%46%43%35%22%11%General missed-call dataset + fit
    20Fencing contractorHome services14%46%43%35%22%11%General missed-call dataset + fit

    Notes: Healthcare rows are direct published buckets. General services rows are extrapolated from anchor: 40% at 5 min vs 22% at 30 min.

    Fencing Company: Estimated Recovery vs Callback Delay

    Callback DelayEst. ConversionRelative vs 5 minLost vs 5 min
    0 min45.1%113%-13%
    2 min43.0%107%-7%
    5 min40.0%100%0%
    10 min35.5%89%11%
    15 min31.5%79%21%
    30 min22.0%55%45%
    45 min15.4%38%62%
    60 min10.7%27%73%

    Recommended SLA

    • Immediate "we got you" text: ≤60 seconds after a missed call
    • Callback attempt #1: ≤5 minutes
    • Callback attempt #2: 10–15 minutes
    • Callback attempt #3: ≤60 minutes
    • Same-day fallback: schedule estimate via text link

    20 Industries: Detailed Defection Stats

    1. Med Spa / Botox Clinic: Businesses that respond within 5 minutes are 100× more likely to connect. 78% of patients choose the first provider who replies. Waiting 15–30 min = already booked elsewhere. Sources: SalesMD, Egg Health Hub

    2. Fencing Contractors: 80% of callers won't leave a voicemail—they call the next contractor. 67% immediately contact another business when not answered. Sources: GrowSmart, RingEden

    3. Plumbing Services: A homeowner with a leak contacted 3 plumbers at 7am. By 7:45am only one had called back—got the job. 21× more likely to convert if answered in <5 min. 78% buy from first to respond. Source: Scorpion

    4. HVAC Repair: During heatwave/cold snap, customers with broken AC/heat won't wait. If you don't pick up during emergency, they immediately call competitor. Responding under 5 min vs an hour = difference between winning and losing. Sources: Dialora AI, GrowSmart

    5. Electrical Contractors: 77% of consumers expect to reach someone immediately. For emergencies (power out, safety), they move down the list instantly. Source: RingEden

    6. Roofing Contractors: Even non-emergency, customers contact multiple and go with first to engage. 67% who hit voicemail start searching for another provider immediately. Source: RingEden

    7. Pest Control: 54% of homeowners decide within 4 hours. 90% expect same-day response. "The clock is ticking—if you're not ready to answer quickly, someone else will." Source: Scorpion

    8. Real Estate Agents: Agents who miss inbound calls lose ~30% of potential listings. 78% hire the first agent that replies. Source: Callin.io

    9. Law Firms: If you fail to respond at all, ~30% immediately reach out to competitor firm. You have about 5 minutes for best chance at connecting. Sources: Law Firm Marketing Pros, Clio

    10. Healthcare (Doctors/Dentists): 67% of patients who couldn't reach provider on first try considered switching. 71% feel frustrated when they don't reach a live person. Source: Callin.io

    11. Auto Dealerships: 78% of customers buy from first company to respond. Callers won't leave voicemails; they call another dealer. Source: Clarity Voice

    12. Auto Repair/Towing: 85% of callers who don't reach a human won't call back. Stranded drivers contact multiple providers and go with whoever answers first. Source: Dialora AI

    13. Emergency Services (Locksmiths): 77% of consumers expect immediate answer. First company to pick up gets the job. Source: RingEden

    14. Restaurants/Hospitality: Most won't wait more than 13 minutes on hold. After-hours call with no answer = booked elsewhere by morning. Sources: ICMI, Medium

    15. Home Cleaning: 85% of people whose call isn't answered never try again. 62% move on to competitor due to poor service experience. Sources: Dialora AI, Voiso

    16. Financial Services: Customers expect response within 15 minutes. Average response time is 24 hours—by then they've moved on. Source: Voiso

    17. E-Commerce/Retail: Shoppers expect real-time engagement. If they don't get immediate answer, they abandon and buy elsewhere. Source: Voiso

    18. Salons/Beauty: 47% of initial calls go unanswered. 85% of unanswered calls are never returned by customer. Source: IPTelecom

    19. Moving Companies: Contacting within 5 min = 21× more likely to qualify vs waiting 30 min. Many lose 60%+ of leads by responding too slowly. Source: Voiso

    20. General Small Business: ~28% of all calls go unanswered. ~50% will switch to competitor if call not answered on first try. 78% buy from first to respond. Source: CallRail

    Sources

    • CallRail consumer survey + hold-time tolerance: https://www.callrail.com/blog/missed-calls-cost-businesses-more-than-ever
    • CallRail benchmark report: https://www.callrail.com/blog/callrail-releases-benchmark-report
    • CallRail missed calls ~28%: https://www.callrail.com/blog/missed-calls-costing-your-business
    • Invoca 60M-call benchmark: https://www.invoca.com/reports/the-invoca-call-conversion-industry-benchmarks-report-2025
    • Home services segment benchmarks: https://www.supplyht.com/articles/106612-home-services-call-performance-report-46-lead-conversion-rate-segment-benchmarks
    • Service Direct call performance: https://blog.servicedirect.com/home-service-call-performance-report
    • Lead Response Management study (PDF): http://www.leadresponsemanagement.org/lrm_study.pdf
    • InsideSales response time: https://www.insidesales.com/response-time-matters/
    • TopFunnel missed-call follow-up benchmark: https://www.topfunnel.io/blog/missed-calls-data-analysis
    • HelloMatik healthcare recovery buckets: https://hellomatik.com/en/news/missed-call-recovery-for-clinics-turn-hang-ups-into-appointments-in-90-seconds

    Related Problems

    • After-hours is where most "missed call" leakage hides; curves should be split business-hours vs after-hours
    • Caller ID / unknown-number screening can make callbacks fail even if you respond fast; SMS-first mitigates
    • If you market "speed," you must also fix routing + staffing, or you'll increase call volume and increase missed calls

    ⚠️ IRIS RESEARCH — Speed-to-Lead Benchmarks by Industry

    Reality Check on "% Booked Elsewhere by Minute"

    No reputable public study reports "% booked elsewhere by minute" in exact format (e.g., "14 minutes = 34% booked elsewhere"). What does exist publicly:

    • Time-to-first-response vs odds of contacting / qualifying / converting the lead (best proxy for "they went elsewhere")
    • A few vertical-specific datasets with concrete time → conversion drops (healthcare is one of the few)

    Baseline: What "Slow Reply" Does to Inbound Leads

    Cross-Industry Inbound Lead Response Decay (MIT/InsideSales)

    Contacting a lead:

    • Within 5 min vs 10 min = 5× more likely to make contact (≈80% drop in contact odds)
    • Within 5 min vs 30 min = 100× more likely to make contact (≈99% drop in contact odds)

    Qualifying a lead:

    • Within 5 min vs 10 min = 4× more likely (≈75% drop in qualification odds)
    • Within 5 min vs 30 min = 21× more likely (≈95% drop in qualification odds)

    Also: First hour matters heavily (contact odds down ~10×; qualification odds down ~6× over first hour)

    Conversion Impact

    InsideSales: conversion rates jump >8× if attempted in first 5 minutes vs waiting 5 min–24 hours

    Customer Expectations

    • 60% of customers define "immediate" as ≤10 minutes for service questions
    • 90% expect "immediate" response
    • 40% expect response within 1 hour on social media
    • 61% won't choose a business that doesn't respond within 1 day

    Important: GMB Messaging in 2025

    Google Business Profile chat/messaging discontinued July 31, 2024. Relevant Google channels now:

    • Local Services Ads (LSA) message leads
    • Website + call (and sometimes WhatsApp/SMS buttons)

    20 Industries: Speed-to-Lead Data

    Definition: "gone" = your likelihood of contacting/qualifying/converting has collapsed (proxy for "booked elsewhere or went cold"). Public data rarely tracks "booked with competitor" directly.

    #IndustryMessage SourceBest Public Time → Loss SignalData-Backed Statement
    1Med spa / Botox / fillersFB/IG DM, web form, chat≤12 min → 65% convert; 1 hr → 31%; 9 hrs → 8%"Respond in ~1 hour instead of ~12 min = converting about half as many; by ~9 hours, most leads are gone"
    2Dental practiceFB/IG, web forms, chatSame medical lead dataset65% @≤12 min, 31% @1 hr, 8% @9 hr (proxy)
    3ChiropracticFB, web form/chatCross-industry qualification decayBy 10 min ~75% down vs ≤5 min; by 30 min ~95% down
    4Physical therapyweb form/chat, FBCross-industry qualification decay10 min ≈ −75%, 30 min ≈ −95% vs ≤5 min
    5Veterinary clinicweb form/chat, FBCross-industry qualification decay10 min ≈ −75%, 30 min ≈ −95% vs ≤5 min
    6Law firm (PI/family)web form, chat, Google AdsCross-industry decay + slow market reality10 min ≈ −75%, 30 min ≈ −95%; many firms slow so being fast is differentiator
    7Accounting / tax prepweb form/chatCross-industry qualification decay10 min ≈ −75%, 30 min ≈ −95% vs ≤5 min
    8Real estate agentZillow inquiries, web/chat, FBCross-industry qualification decay10 min ≈ −75%, 30 min ≈ −95% vs ≤5 min
    9Mortgage broker/lenderrate quote requests, web formCross-industry contact/qualification decayContact: 5 vs 30 min = 100× (≈99% drop); Qualify: 5 vs 30 = 21× (≈95% drop)
    10Insurance agentquote requestsCross-industry decay~99% contact odds drop by 30 min vs 5; ~95% qualification drop
    11Financial advisorweb inquiry, chat, LinkedInCross-industry decay + expectationLead odds decay fast; many buyers expect "immediate" ≤10 min
    12Auto dealershipweb lead form/chat, FBCross-industry qualification decay10 min ≈ −75%, 30 min ≈ −95% vs ≤5 min
    13Auto repair shopcalls + web formsCross-industry decay + social expectation10 min ≈ −75%, 30 min ≈ −95% vs ≤5 min
    14HVACGoogle LSA, web form, chatMulti-quote competition + speed decayLSA sends to multiple businesses at once; qualification odds collapse after 10–30 min
    15PlumbingGoogle LSA, web form/chatMulti-quote competition + speed decaySame as HVAC (LSA multi-recipient + speed decay)
    16ElectricianGoogle LSA, web/chatMulti-quote competition + speed decaySame
    17RoofingGoogle LSA, web/chatMulti-quote competition + speed decaySame
    18Fencing contractorGoogle LSA, web/chat, FBMulti-quote competition + speed decaySame
    19Pest controlGoogle LSA, web/chatMulti-quote competition + speed decaySame
    20LandscapingGoogle LSA, web/chatMulti-quote competition + speed decaySame

    Operational Takeaway

    • ≤5 minutes = you're in the game
    • 10 minutes = you're already taking a major hit
    • 30 minutes = you're mostly dead in competitive lead environments

    Worked Example: Botox Clinic (Facebook Message)

    Healthcare Lead Conversion Dataset

    • ≤12 minutes: ~65% convert to consultations (35% "gone")
    • 1 hour: ~31% convert (69% "gone")
    • 9 hours: ~8% convert (92% "gone")

    Interpolated (14 min / 45 min)

    • ~14 minutes: ~60.6% consult conversion → ~39.4% gone
    • ~45 minutes: ~35.4% consult conversion → ~64.6% gone
    • 60 minutes: 31% consult conversion → 69% gone (published)

    For provably published statement only: stick to 12 min / 1 hr / 9 hr.

    Worked Example: Fencing Company (Cold Inbound Message)

    Why Fencing is Speed-Sensitive in 2025+

    If leads come via Google LSA, Google has been rolling out "Request Competitive Quotes" flows where:

    • Consumer can send quote request to multiple businesses simultaneously
    • Some implementations: "Google selects 4 top-rated pros who typically reply in 15 minutes"

    So for fencing: you're often not in a 1:1 race. You're in a simultaneous race.

    Data-Backed Time Before They've Moved On

    • 10 min vs ≤5 min = ~4× lower qualification odds (≈75% loss)
    • 30 min vs ≤5 min = ~21× lower qualification odds (≈95% loss)
    • Contactability: 5 min vs 30 min = 100× difference (≈99% loss)

    Practical SLA (Source-Defensible)

    • Auto-acknowledge: immediately (seconds)
    • Human follow-up: ≤5 minutes during coverage hours
    • If not inside 10 minutes, assume losing most high-intent leads

    20 Industries: Detailed Examples

    Real Estate Agents: 78% of buyers choose the first agent who responds. One case: agent who waited until later found client had "already scheduled three showings with agents who responded immediately."

    Fencing Contractors: Homeowners contact 3–5 contractors. First to reply wins ~85% of the time. Wait 30–60 min = homeowner already scheduling estimate with faster competitor.

    Roofing Contractors: First company to respond secures business ~85% of the time. Delay = they've booked another roofer.

    Plumbers (Emergency): 85% of customers who reach voicemail will hang up and call next plumber. No answer = vast majority move on immediately.

    HVAC Repair: ~62% will move on if call isn't answered promptly. Taking 5+ min to answer chat/call = customer likely already booked someone else.

    Electricians: >60% will call next electrician if you don't respond right away. First to reply/answer greatly increases chances.

    Dentists & Medical: Practices that contact leads within 5 min are 10× more likely to convert vs waiting 10 min. Average practice takes >2 hours = plenty of time to inquire elsewhere.

    Med Spa / Aesthetic: ~30% of aesthetic patients will choose another clinic if you don't respond "quickly enough." Next-day response to FB Messenger = prospect already booked with responsive competitor.

    Law Firms: ~78% of clients hire first lawyer who calls/messages back. If you fail to respond at all, ~30% immediately reach out to competing firm.

    Auto Dealerships: 78% buy from first dealership that responds. Average dealer response = 42–47 hours (nearly two days). Dealers who reply within minutes have huge advantage.

    Insurance Agencies: ~78% of leads go with first responder. Responding within 5 min = up to 100× more likely to connect and convert.

    Mortgage Lenders: Responding within 1 minute boosts conversion by 391% (Velocify study). Waiting even a few minutes dramatically lowers odds.

    Moving Companies: First to respond and offer estimate timeslot wins. ~75% of customers choose first moving company that replies.

    Cleaning Services: ~78% go with first business that responds. Quick text/call back secures new client before they hear from others.

    Appliance Repair: People call/message multiple shops, book first one that can help. ~62% won't wait if call isn't answered promptly.

    IT Support: ~78% choose first responder. Wait an hour or two = client already engaged someone else.

    Wedding/Event Vendors: ~50% of couples book the very first vendor who replies (WeddingPro data). Few hours late = already booked someone else.

    Pest Control: If >5 min to respond, odds of closing drop by nearly 80%. First exterminator to confirm appointment wins almost every time.

    Locksmiths / Emergency: ~85% who hit voicemail don't leave a message; they call next provider. First to answer gets the job.

    Restaurants & Hospitality: 82% consider "immediate" response (within 10 min) important. Hours to reply = customer booked elsewhere.

    Sources

    • MIT/InsideSales lead response timing study (PDF): https://cdn2.hubspot.net/hub/25649/file-13541918-pdf/docs/lead_response_time.pdf
    • InsideSales "Response Time Matters" (conversion >8x in first 5 min): https://www.insidesales.com/response-time-matters/
    • Medical lead conversion vs response time case study (12 min / 1 hr / 9 hr): https://www.mymedleads.com/lead-management-101/optimizing-medical-lead-conversion-rates-case-study/
    • Birdeye local business messaging response expectation (61% won't choose if no response within a day): https://www.birdeye.com/blog/how-long-should-you-wait-to-respond-to-your-customers/
    • HubSpot (90% expect immediate; 60% define immediate as ≤10 minutes): https://blog.hubspot.com/service/customer-response-time
    • McKinsey (40% expect response within an hour on social media): https://www.mckinsey.com/industries/technology-media-and-telecommunications/our-insights/how-to-meet-customers-demand-for-online-community-and-social-media-service
    • Google Business Profile chat ended (official): https://support.google.com/business/answer/11436889
    • Search Engine Land on "Request Competitive Quotes" in Google LSA: https://searchengineland.com/googles-local-services-ads-feature-raises-cost-concerns-447636
    • Hatch on LSA "Get Competitive Quotes": https://www.usehatchapp.com/blog/google-lsa-competitive-quote
    • Hennessey Digital study (law firm response time): https://www.prweb.com/releases/hennessey-digitals-study-of-1-400-law-firm-identifies-the-fastest-responding-personal-injury-firms-finds-56-are-slow-to-respond-or-are-nonresponsive-302184088.html

    Related Problems

    • After-hours coverage is where most "speed" systems fail; if you can't respond, need rapid auto-ack + scheduling path
    • Routing + ownership: response speed is usually a process failure (no on-call owner), not a tool failure
    • Measurement: separate metrics for time-to-first-human vs time-to-first-ack (customers feel the first; platforms sometimes rank on both)

    ⚠️ REX RESEARCH — Database Reactivation Benchmarks by Industry

    Important Normalization Note

    Across sources, "close" is reported as (a) order conversion, (b) appointment booking, or (c) response/inquiry. The metric type is labeled so you don't compare apples to grenades.

    20-Industry Benchmark Table (First Dataset)

    IndustryCampaign SizeConversion RateAvg. TicketChannelCampaign Summary
    Cosmetic Clinic (MedSpa)100 SMS6% closed$380/treatmentSMSLapsed Botox patients, "we miss you" promo (20× ROI)
    Dental Practice~5,000 patients10% reactivated~$250/apptEmail & SMSInactive patients with reminders/offers
    Fitness Studio1,000 leads12% rejoined$50/mo membershipEmail & SMS3–6+ mo inactive, "come back" series + free class
    Fashion E-Commerce5,000 dormant15% purchased$367/orderEmail & SMSExclusive comeback discount, 3–12 mo inactive
    Grocery Delivery AppNot disclosed~2% orders~$20/orderEmail"We miss you" email, no discount (+27% vs normal)
    NonprofitSeveral thousand8% reactivated~$100/donationEmailPersonalized emails highlighting impact
    Real Estate Brokerage~35,000 old leads3–5% converted~$2,500 commissionEmail & CallsMarket updates and new listings to stale leads
    Home Services – Fencing100 emails3% closed (approx.)$9,800/jobEmailFollow-up on old quotes with limited-time discount
    Home Services – Roofing~3,800 contacts0.5% closed~$10,000/roofSMS & Email$1,000-off $10k+ offer, generated $186k (12× ROI)
    Automotive DealershipLapsed service DB512 ROs booked$416/ROSMS & PhoneOwners >12 mo since service, $213k revenue in 90 days
    Software (SaaS)Churned subs15% re-subscribed~$50/moEmailWin-back emails with new features
    B2B Tech Provider7,000 cold leads10% qualified~$1,000/saleAutomated CallsAI voice + pre-email, 30% responded
    Luxury Food RetailLapsed VIP list1500% ROI~$250/orderDirect MailPostcard + discount to unsubscribed customers
    B2B ServicePast clients26% won backVariesPersonalized EmailAccount-specific campaigns, ~2× LTV
    Electronics E-CommerceInactive segment10.3% conversion~$120/orderEmailPersonalized "come back" deals
    B2B Sales LeadsStale leads24% interestedHigh deal sizeEmail & LinkedIn38% reply, 63% expressed interest
    Mobile AppChurned users20% reactivatedVariesPush NotificationsTimely personalized push to abandoned users
    Retail (Variety Store)Multi-channel24% reactivated~$50/purchaseEmail, SMS, LoyaltyData-driven lifecycle messaging (+17% online rev)
    Insurance AgencyOngoing leads+10% close rate~$1,500 policySMS & CallAdded texting to ignored leads
    Higher Education26,000 stopped-out7% re-enrolledTuitionEmail & CoachingProactive advisor outreach (~4× normal rate)

    20-Industry Benchmark Table (Second Dataset — More Granular)

    #IndustryExampleMetric TypeChannelA/B?Volume A → Rate AVolume B → Rate BAvg TicketNotes
    1Medical aestheticsPSC WichitaScheduled apptPatient reactivationNo16%N/DCan reach 16% to scheduled appointments
    2Cannabis retailA Green AlternativeConversionOmnichannelNo24%N/DWin-back campaigns
    3Car wash (loyalty)Mike's Carwash% won backAutomatedNo≥30%N/DLapsed loyalty members
    4Restaurant/entertainmentShenaniganzReturn visitAutomatedNo20%N/D+13% check average
    5Beauty e-commerceRevolution BeautyConversionSMSNo15%N/DSMS reactivation
    6Fashion resaleShafa.uaConversionEmailNo5%N/DEmail reactivation
    7Supplements DTCRock City LabSubscription reactivationEmail vs PostcardsYes7,176 → 0.59%971 → 5.87%N/DPostcards 10× email
    8Auto aftermarket partsMorris 4x4Order conversionEmail vs PostcardsYes15,400 → 0.065%2,000 → 1.2%$292 / $317160% more revenue from postcards
    9Men's apparelMembership clubOrder conversionPostcardsNo23,105 → 23.51%≥$58$317K+ revenue
    10Coffee DTCBones CoffeeOrder conversionPostcardsNo>12,000 → ≥13.33%N/D>1,600 orders
    11Men's groomingDr. SquatchConversionPostcardsNo12.66%N/D20% off, $30 min
    12ChiropracticPostcardManiaRedemptionPostcardsNo1,000 → 3.2%$916$29,311 total revenue
    13Real estate agentRealty ConnexionResponse (leads)PostcardsNo2,300 → 3.13%N/DLead response, not closed
    14RE investingFastCashSDResponse (leads)PostcardsNo10%N/D$35K commissions reported
    15Auto dealership (sales)Szott FordSales conversionEmailNo257,000 → 0.025%$3,023 gross64 vehicle sales
    16Auto dealership (service)Blaise AlexanderConversionDigitalNo~1,902 → 31.49%N/D599 conversions
    17Dental DSODarwillResponse (inquiries)Direct mailYes (segments)25,000 → 1.43%N/D~358 inquiries
    18CPG beverageOh!minoReorder ratePostcardsYes (before/after)24%63%N/DReorder rate lift
    19RE/rental platformNestReadyConversionDigitalNo13.8%N/D38% click rate
    20Retail B2CPrintCommResponseDirect mailNo32%N/D42 offers on postcards

    ROI Math Examples (Per 100 Touches)

    Expected revenue = close% × avg ticket × 100

    IndustryRateTicketPer 100 Touches
    Chiropractic (PostcardMania)3.2%$916$2,931
    Men's Apparel (Postcards)23.51%≥$58≥$1,372
    Morris 4x4 (Postcards)1.2%$317$380
    Szott Ford (Email)0.025%$3,023$75
    Morris 4x4 (Email)0.065%$292$19

    How to Use Without Fooling Yourself

    1. Define "Lapsed" by Purchase Cycle

    • Coffee: 30–90 days
    • Auto sales: 12–36 months
    • Clinics: Last visit + recommended recall interval

    2. Standardize "Close"

    • Primary: Completed purchase / completed appointment
    • Secondary: response/call, click, booked, show-up, completed

    3. Use Incrementality, Not Last-Touch

    • Random holdout cohort (5–15%) receives no reactivation
    • Report: incremental lift = (test conversion − holdout conversion)
    • Otherwise direct mail and SMS get over-credited

    4. Normalize by "Per 100 Contacts"

    Fastest way to compare across industries and average tickets.

    Sources

    • Filia Digital — SMS campaigns: https://www.filiadigital.com/sms-marketing-campaigns/
    • Marketly — Patient reactivation: https://www.marketlydigital.com/services/patient-reactivation/
    • Honey Jaks — Reactivation case studies: https://www.linkedin.com/posts/honey-jaks_reactivation-campaign-case-studies-over-activity-7274423111632982016-zs_A
    • ProsperStack — Winback examples: https://prosperstack.com/blog/winback-campaign-examples/
    • Sequence Consulting — Lapsed member case study: https://sequenceconsulting.com/lapsed-member-re-engagement-case-study/
    • BoldTrail — Database reactivation: https://resources.insiderealestate.com/blog/a-database-reactivation-goldmine-how-to-turn-dormant-contacts-into-active-deals
    • Mixed Media Ventures — Roofing reactivation: https://www.mixedmediaventures.com/why-a-database-reactivation-campaign-can-jumpstart-new-revenue-for-your-business-fast/
    • PureCars — Auto dealership: https://www.purecars.com/resources/driving-service-traffic-through-hyper-targeted-outreach-how-the-autominer-helped-an-acura-store-reactivate-past-customers
    • TIMIFY — SaaS reactivation: https://www.timify.com/en/blog/customer-reactivation-campaigns/
    • Synthflow — B2B tech reactivation: https://synthflow.ai/success-stories/lead-reactivation
    • Nicereply — Win back strategies: https://www.nicereply.com/blog/winning-back-lost-customers/
    • LoyaltyLion — Email campaigns: https://loyaltylion.com/blog/three-examples-of-customer-reactivation-email-campaigns
    • Weezly — Outbound reactivation: https://weezly.com/blog/boost-outbound-sales-fast-with-reactivation-campaigns/
    • MoEngage — Push notifications: https://www.moengage.com/learn/push-notification-case-studies/
    • Marigold — HEMA case study: https://meetmarigold.com/resources/case-studies/how-hema-achieved-a-24-customer-reactivation-rate-with-creative-data-driven-experiences-across-the-customer-decision-journey
    • TextMagic — Insurance agency: https://www.textmagic.com/customers/case-studies/henry-insurance-agency/
    • InsideTrack — Higher ed re-enrollment: https://www.insidetrack.org/news/new-data-2023-re-enrollment-initiatives
    • Vital Interaction — PSC Wichita: https://vitalinteraction.com/case-study/psc-wichita/
    • AIQ — Cannabis retail: https://getaiq.com/case-study/how-a-green-alternative-broke-records-in-60-days-with-aiq/
    • Thanx — Winback campaigns: https://engage.thanx.com/blog/digital-winback-campaigns
    • Bloomreach — Revolution Beauty: https://www.bloomreach.com/en/customers/revolution-beauty
    • Yespo — Shafa.ua: https://yespo.io/cases/shafa-ua/
    • PostPilot — Rock City Lab: https://www.postpilot.com/case-studies/how-rock-city-lab-reactivates-churned-subscribers-to-deliver-big-wins-for-clients
    • PostPilot — Morris 4x4: https://www.postpilot.com/case-studies/how-postcards-outperformed-email-18-to-1-for-morris4x4centercom
    • PostPilot — Bones Coffee: https://www.postpilot.com/case-studies/bones-coffee-explosive-results-postcards
    • PostPilot — Dr. Squatch: https://www.postpilot.com/case-studies/dr-squatch-retention-campaign
    • Darwill — Dental DSO: https://darwill.com/insights/direct-mail/dental-direct-mail-campaign/
    • Fullpath — Szott Ford: https://www.fullpath.com/customer-stories/szott-ford-revived-inactive-leads
    • FixedOpsMarketing — Blaise Alexander: https://www.fixedopsmarketing.com/case-studies/blaise-alexander-hyundai-mazda/
    • PostcardMania — Chiropractic: https://www.postcardmania.com/blog/chiropractic-marketing-ideas/
    • PostcardMania — Real estate: https://www.postcardmania.com/industry-categories/real-estate-case-studies/
    • NestReady — Reactivation: https://www.nestready.ai/blog/reactivation-campaigns
    • PrintComm — 32% response: https://printcomm.com/blog/how-one-companys-lapsed-customer-campaign-brought-in-a-32-response-rate-by-printing-42-offers-on-postcards/

    Related Problems

    • Discount-based winback can train customers to wait for discounts (LTV decay). Solve with tiered incentives.
    • Deliverability + compliance becomes bottleneck at scale (SMS opt-in, TCPA, email domain reputation).
    • Attribution games: agencies claim "reactivation" revenue that would've happened anyway. Build holdouts as default.

    🔒 INTERNAL PRICING (LOCKED)

    Core Pricing

    ComponentPriceLanguage
    Setup (Standard)$5,000"Onboarding fee"
    Setup (Enterprise)Up to $100,000Custom builds, multi-location
    Monthly$1,500 ($750 bi-weekly)"Payroll"
    Voice30¢/minuteCarrier + AI processing
    Messages4¢/eachCarrier + AI processing

    Bundle Offer

    Pick 1 agent → 2nd free → All 3 for price of 1

    Qualification

    • $1M+ revenue minimum
    • $3M-$10M sweet spot
    • Under $500K = disqualify

    Usage Pricing Explanation (Exact Copy)

    "You pay for conversations, not employees.

    Your usage costs come down to two things: carrier fees to actually deliver the call or message, and AI processing costs for the brain behind it.

    AI costs change constantly—new models come out, prices spike, then drop as competition catches up. Every single interaction pulls your contact's full conversation history plus all your business data—pricing, FAQs, services, everything the bot needs to answer intelligently.

    Voice adds ten more layers on top: converting speech to text, running it through the AI, converting back to speech, the actual voice engine, real-time processing so there's no awkward pauses, interruption detection, call recording, transcripts—all of it.

    Here's what the best models actually cost:

    ModelInputOutput
    o1-pro (OpenAI reasoning)$150/million tokens$600/million tokens
    GPT-5.2 Pro$21/million tokens$168/million tokens
    Claude Opus 4.1$15/million tokens$75/million tokens

    That's hundreds of dollars per million tokens. We always run the newest, most expensive models. When costs spike, we eat it.

    Calls: 30 cents per minute
    Messages: 4 cents each

    Here's what that looks like in your business:

    100 after-hours calls. Average 1 minute each. That's $30 in usage.
    18 of those book appointments. Average ticket: $1,200.
    $30 in AI costs. $21,600 in revenue.

    Usage doesn't matter when the math looks like that.

    For comparison: A human receptionist costs $15-20/hour. That's 25-33 cents per minute just for labor—before benefits, training, sick days, and mistakes."

    🔵 CUSTOMER JOURNEY (Correct Order)

    1. FB Ad / Website / Referral
       ├── Read case studies
       ├── Used ROI calculators
       └── Explored demos on site
                  ↓
    2. Demo with Iris and Luna
       └── They EXPERIENCE the actual AI agents firsthand
           (Collects: full name, email, phone number, business name, website)
                  ↓
    3. Personalized Demo
       └── They SEE how it works on THEIR website/business
                  ↓
    4. Book Sales Call Appointment
                  ↓
    5. ★ APPOINTMENT CONFIRMATION FORM ★ 
       ├── Collects their exact numbers
       ├── Makes THEM calculate their loss
       ├── Surfaces any remaining objections
       └── Confirms decision-maker + timeline
                  ↓
    6. Technical VSL sent (watch before call)
       └── Answers remaining technical/compliance questions
                  ↓
    7. Sales Call (10-15 min) — CLOSING, not discovery
                  ↓
    8. Payment → Contract
                  ↓
    9. Onboarding Questionnaire
                  ↓
    10. 7-Day Build → 4-Week Optimization → Weekly Reports

    Key Process Notes

    • Step 2 (Demo with Iris/Luna) — Captures full contact info through natural AI conversation, not a form
    • Step 5 (Confirmation Form) — Critical pre-call qualification that makes THEM do the math on lost revenue
    • Step 7 (Sales Call) — 10-15 min CLOSING call, not discovery. Discovery already done via form + VSL

    ⚠️ CRITICAL: Form Context

    By the time they hit the form, they have ALREADY:

    • Been to the website
    • Read case studies
    • Used ROI calculators
    • Demoed with Iris and Luna (EXPERIENCED the product)
    • Seen a personalized demo for THEIR business
    • Booked an appointment

    They are NOT learning what ReplyStats is. They've USED it. They've SEEN it work. They're basically sold.

    The form's job is NOT education. It's:

    • Qualify them (revenue gate eliminates sub-$500K before call)
    • Get their exact numbers so rep can close with THEIR math
    • Make THEM calculate the loss (self-persuasion is more powerful than being told)
    • Surface any remaining objections so rep isn't blindsided
    • Confirm decision-maker and timeline so no surprises on the call

    📋 APPOINTMENT CONFIRMATION FORM — LLM Build Spec

    PURPOSE OF THIS DOCUMENT: Blueprint for building the confirmation form. Each section includes the CUSTOMER-FACING copy (what they see) and the DUAL PURPOSE (what it does for them AND what it gives the rep). The LLM building this must understand both sides.

    CONTEXT

    By the time someone reaches this form, they have:

    • Visited the website, read case studies, used ROI calculators
    • Interacted with Luna (voice) or Iris (chat) — these are the only demos
    • Seen a personalized demo for their business
    • Booked an appointment

    Rex has no demo. Rex is database reactivation—you can't demo that in real-time. Rex interest comes from the ROI calculators and case studies, not a live interaction.

    Form triggers IMMEDIATELY after booking (redirect). Slider format. Partial saves enabled.

    DATA ALREADY IN CRM (Pre-Populated)

    Collected during Luna/Iris interaction. Do not ask again:

    • Name, Email, Phone, Business Name, Website
    • Which agent they interacted with (Luna or Iris)

    SECTION 1: Confirmation

    Customer-Facing Copy

    Headline: "Let's make sure we have everything right, [First Name]."

    Subhead: "We pulled this from your conversation with [Luna/Iris]. Just confirm it's correct so we can prepare your custom implementation plan."

    Fields Shown (Pre-Populated, Editable)

    • Full Name
    • Email
    • Phone
    • Business Name
    • Website

    Dual Purpose

    For the CustomerFor the Rep
    Shows we're competent—we already know them. Builds trust. Sets tone that this is personalized, not generic.Confirms accuracy. Catches typos in email/phone before they cause problems.

    CTA:

    "That's Me →"


    SECTION 2: Business Scale

    Customer-Facing Copy

    Headline: "Help us match you with the right case studies."

    Subhead: "We work with businesses from $500K to $50M+. These details help us show you results from companies at your stage—not generic examples that don't apply."

    Questions

    • What's your annual revenue range? (Under $500K / $500K-$1M / $1M-$3M / $3M-$10M / $10M+)
    • How many locations do you have?
    • How many people currently handle calls and customer communication?

    Dual Purpose

    For the CustomerFor the Rep
    Frames qualification as personalization. They think we're matching case studies. Makes them feel like we serve businesses at their level.Revenue gate. Under $500K = disqualify (redirect to resources page). Multi-location = enterprise pricing. Staff count = current labor cost baseline for ROI math.

    If Under $500K Selected

    Redirect to: "We typically work with businesses doing $1M+ because that's where our ROI math really shines. Here are some free resources that might help you get there. When you're ready, we'll be here."

    CTA:

    "Next →"


    SECTION 3: Tech Stack — Phone Infrastructure

    Customer-Facing Copy

    Headline: "Let's make sure your phone system is ready for integration."

    Subhead: "We integrate with 50+ phone systems. These questions help our dev team confirm compatibility BEFORE your call—so if you're ready to move forward, we can have you live within 7 days, not 7 weeks."

    Questions

    • What phone system do you use? (Dropdown: RingCentral / Dialpad / Vonage / 8x8 / Nextiva / Google Voice / Traditional landline / Other)
    • Are your calls currently recorded? (Yes all / Some / No / Not sure)
    • Do you have transcripts of calls saved anywhere? (Yes in CRM / Yes but not connected / No / What's a transcript?)

    Dual Purpose

    For the CustomerFor the Rep
    Positions us as thorough and prepared. "7 days not 7 weeks" creates urgency and shows speed. They feel like we're doing homework FOR them.Integration path. "No recordings" or "Not sure" = visibility gap they'll realize during the call. "What's a transcript?" = massive education opportunity.

    Micro-Copy After Questions

    "If you answered 'No' or 'Not sure'—you're not alone. Most businesses have zero visibility into what's actually said on their calls. That's one of the first things we fix."

    Why This Micro-Copy Works

    Normalizes their gap ("you're not alone"). Hints at solution ("first things we fix"). Doesn't shame them—invites them into the solution.

    CTA:

    "Continue →"


    SECTION 4: Tech Stack — CRM & Channels

    Customer-Facing Copy

    Headline: "Your CRM is the brain of your business. Let's see what we're working with."

    Subhead: "We integrate directly with your existing systems—we don't replace what's working. These answers help us map out exactly how [Luna/Iris/Rex] will plug into your current workflow."

    Questions

    • What CRM do you use? (Dropdown: Salesforce / HubSpot / GoHighLevel / Jobber / ServiceTitan / Housecall Pro / Mindbody / Jane App / Spreadsheets / We don't have one / Other)
    • How did you end up with that CRM? (We researched and chose it / It came with our software/franchise / Someone recommended it / It's what we've always used)
    • If you could wave a magic wand and fix ONE thing about how you handle leads and customers today, what would it be? (Open text)
    • What channels do you currently use to talk to customers? (Checkbox: Phone / SMS / Email / Website chat / Facebook DMs / Instagram DMs / Google Business Messages / WhatsApp)

    Dual Purpose

    For the CustomerFor the Rep
    "We don't replace what's working" = reduces fear of disruption. Shows we're additive, not a rip-and-replace. Magic wand question lets them dream.CRM = integration path. "Came with franchise" = no intentional choice = open to change. Magic wand = their pain in THEIR words. Use verbatim on call. Channel gaps = missed conversations to point out.

    Micro-Copy After Questions

    "That 'magic wand' answer? That's usually where the biggest ROI is hiding. We'll dig into that on your call."

    Why This Micro-Copy Works

    Validates their answer mattered. Creates anticipation. They know we're paying attention and will address it.

    CTA:

    "Keep Going →"


    SECTION 5: Marketing & Lead Economics

    Customer-Facing Copy

    Headline: "Let's talk about how much you're investing to get leads in the door."

    Subhead: "The whole point of [Luna/Iris/Rex] is protecting that investment. We need to understand what a lead is worth to you—so we can show you exactly what you're saving."

    Questions

    • How do you generate most of your leads? (Checkbox: Google Ads / Facebook/Meta / Referrals / SEO / Direct mail / We don't actively advertise)
    • What's your main offer or promotion right now? (Text)
    • Do you know your cost per lead? (Yes: $__ / Roughly: $__ / I don't track that)
    • Do you know your customer acquisition cost—total cost to get a paying customer? (Yes: $__ / No / What's customer acquisition cost?)
    • What's the lifetime value of a customer for you? ($ amount / I don't know / It varies too much to say)

    Dual Purpose

    For the CustomerFor the Rep
    "Protecting your investment" frames us as asset protection, not expense. Makes them think about what they're ALREADY spending. Educates them on metrics they should know.If they know CPL/CAC/LTV = speak to ROI directly. If "I don't know" = flying blind, that's part of the value prop. "What's CAC?" = need to educate on call, adjust approach.

    Micro-Copy After Questions

    "If you don't know those numbers yet—that's okay. Most businesses don't until they start measuring. Part of what we do is give you visibility into what's actually happening with your leads."

    Why This Micro-Copy Works

    No shame ("that's okay, most don't"). Hints at solution ("visibility into what's happening"). Positions us as the path to sophistication.

    CTA:

    "Almost There →"


    SECTION 6: Current Reality — Where Leads Fall Through

    Customer-Facing Copy

    Headline: "Now the important part—what happens to leads when you can't get to them?"

    Subhead: "Be honest here. We're not judging—every business has gaps. The more accurate you are, the more specific we can be about what this actually fixes for you."

    Questions

    • How many inbound calls do you get per week? (Number or range)
    • What happens to calls that come in after hours, during lunch, or when everyone's busy? (Voicemail / Answering service / They don't get answered / Staff takes them off the clock / We're open 24/7)
    • When a new lead comes in, how fast does someone typically respond? (Under 5 min / 5-30 min / 30 min - few hours / Same day / Next day / It depends)
    • How many leads come in per month across all channels? (Number)
    • What percentage of those turn into paying customers? (% / I don't track that)

    Dual Purpose

    For the CustomerFor the Rep
    "Be honest, we're not judging" = permission to admit problems. "What this actually fixes" = solution-oriented, not just data collection. They feel heard, not interrogated.Every answer except "Under 5 min" and "24/7" is a gap. "Voicemail" = money walking. "It depends" = inconsistent = lost leads. Rep has specific pain points to reference.

    Micro-Copy After Questions

    "Here's what the data says: Leads that hit voicemail have a 90% chance of never calling back. Response time over 5 minutes drops conversion by 80%. If you saw yourself in those answers—that's exactly what we're here to fix."

    Why This Micro-Copy Works

    Hard stats they can't argue with. Directly connects THEIR answers to the problem. "That's exactly what we're here to fix" = clear solution positioning.

    CTA:

    "One More Section →"


    SECTION 7: The Untapped Asset — Your Database

    Customer-Facing Copy

    Headline: "You've already paid to acquire these customers. Let's see if there's money sitting in your database."

    Subhead: "Most businesses have thousands of past customers they never talk to again. That's revenue you've already earned the right to—it's just sitting there."

    Questions

    • How many total contacts are in your database/CRM? (Number or range: Under 1K / 1K-5K / 5K-10K / 10K-25K / 25K+)
    • Roughly how many haven't purchased in 6+ months? (Number / I don't know)
    • When's the last time you systematically reached out to past customers who haven't been back? (Never / Over a year ago / 6-12 months / Within 6 months / We do it regularly)
    • What's your average transaction/ticket value? ($)

    Dual Purpose

    For the CustomerFor the Rep
    "Money sitting in your database" = reframes dormant contacts as an asset. "Revenue you've already earned the right to" = no new acquisition cost. Makes them see the opportunity."Never" or "over a year" = massive Rex opportunity. Database size × ticket × reactivation rate = specific dollar amount for the call. "I don't know" dormant count = they've never even looked.

    Micro-Copy After Questions

    "Quick math: If you have 5,000 contacts and half haven't been back in 6 months—that's 2,500 people who already know you, already trust you, and just need a reason to return. At even a 10% reactivation rate, that's 250 customers you didn't pay to acquire."

    Why This Micro-Copy Works

    Does the math FOR them. Concrete numbers. "Didn't pay to acquire" = pure profit framing. Impossible to ignore.

    CTA:

    "Final Step →"


    SECTION 8: Getting Ready for Your Call

    Customer-Facing Copy

    Headline: "Last few questions so we don't waste a second of your time."

    Subhead: "We keep calls to 15 minutes because we'll already have everything we need. These last answers make sure we're 100% prepared to give you a real plan—not a generic pitch."

    Questions

    • Who else is involved in a decision like this? (Just me / Business partner / Spouse / Office manager / Other)
    • What's your timeline for solving this? (I want this fixed yesterday / Within 30 days / This quarter / Just exploring for now)
    • Have you tried other solutions for this before? (No, this is new / Yes → What and what happened?)
    • What would make you say "this isn't for me" on the call? (Open text)

    Dual Purpose

    For the CustomerFor the Rep
    "15 minutes" sets expectation—not a long sales call. "Real plan not generic pitch" = we're coming prepared. Last question shows we're direct and want to address concerns, not hide from them.Decision maker status = know if they can close. Timeline = urgency level. Past solutions = competitive context, why they're still looking. "What would make you say no" = the objection, pre-surfaced. Handle it first on the call.

    Micro-Copy After Questions

    "We ask that last question because we'd rather address your concerns directly than dance around them. No games, no pressure—just straight answers."

    Why This Micro-Copy Works

    Positions transparency as a value. "No games, no pressure" = differentiation from typical sales. They respect the directness.

    CTA:

    "Finish →"


    SECTION 9: Your Assessment

    Customer-Facing Copy

    Headline: "Based on everything you just shared—what's your gut say?"

    Subhead: "You've looked at your numbers, your gaps, and your opportunities. Before we talk, we want to know what YOU think this is costing you."

    Questions

    • Looking at your answers, what do you estimate these gaps are costing you every month? ($__/month) — Small text: "Don't overthink it. Just your honest guess."
    • On a scale of 1-10, how much is this problem actually affecting your business? (Slider)
    • What needs to happen on our call for you to move forward? (Open text)

    Dual Purpose

    For the CustomerFor the Rep
    Forces reflection on everything they just admitted. "What YOU think" = ownership. They're not being told the cost—they're calculating it themselves. More powerful than any pitch.THEY wrote the cost estimate—rep uses their number on the call. Severity below 7 = tire kicker. "What needs to happen" = they literally write the closing criteria. Rep just meets it.

    Micro-Copy After Questions

    "You just did something most business owners never do—you actually looked at the gaps. That's the first step. On the call, we'll show you exactly how to close them."

    Why This Micro-Copy Works

    Validates their effort ("most never do"). Frames them as action-takers. "Show you how to close them" = solution is coming, just need to show up.

    CTA:

    "I'm Ready for My Call ✓"


    CONFIRMATION PAGE

    Customer-Facing Copy

    Headline: "You're all set, [First Name]."

    Body: "Your call is confirmed for [Date] at [Time].

    Before then, our team will review everything you shared and build a custom implementation plan for [Business Name]. When we get on the call, we won't be asking you to repeat yourself—we'll be showing you exactly what this looks like for YOUR business.

    Talk soon."

    Elements to Include

    • Calendar invite auto-sent
    • Add to Google Calendar / Apple Calendar / Outlook buttons
    • What to expect: "15-minute call. No pressure. Real answers."

    SUMMARY: The Sales Arc

    SectionCustomer BelievesRep Gets
    1. Confirmation"They already know me. This is personalized."Verified contact info
    2. Business Scale"They're matching me with relevant examples."Revenue qualification + labor cost baseline
    3. Phone Infrastructure"They're checking compatibility so we can move fast."Integration path + visibility gaps surfaced
    4. CRM/Channels"They won't replace what's working."Pain in their words + channel gaps
    5. Lead Economics"They want to protect my marketing investment."Sophistication level + ROI math inputs
    6. Where Leads Die"They're identifying what this actually fixes."Specific gaps to reference on call
    7. Database"There might be money I'm not touching."Rex opportunity size + reactivation math
    8. Call Prep"They want to be prepared, not waste my time."Decision maker + objection pre-surfaced
    9. Assessment"I'm calculating this for myself."Their cost estimate + closing criteria in their words

    Every section educates the customer, advances the sale, AND arms the rep. The call is 15 minutes of closing—not discovery, not education. They've already sold themselves.

    Athena: Your Sales Department Follow-Up Engine

    SECTION 1: What Athena Is and How It Works

    What It Is

    Athena is a lead follow-up machine. When someone fills out a form on your website or clicks your ad, the system takes over. It calls them, texts them, and emails them until they either book an appointment or tell you to stop.

    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.

    The Problems Athena Solves

    "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. Athena 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. Athena 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. Athena 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. Athena 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.

    "When Staff Calls In Sick, Leads Don't Get Worked"

    One person out = leads pile up = opportunities die. Athena keeps calling, texting, and emailing regardless of who shows up. Sick days don't kill your pipeline.

    "After-Hours Leads Die Overnight"

    Lead comes in at 9pm Friday. Nobody touches it until Monday 10am. That's 60+ hours of cooling off. Athena works nights, weekends, and holidays. A lead at 2am gets the same treatment as a lead at 2pm.

    "I Have No Idea What's Actually Working"

    Are your texts good? Is your timing right? Should you call more or less? You're guessing. Athena tracks everything—contact rates by attempt, conversion by campaign, performance by day/hour. You make decisions with data, not gut feelings.

    "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. Athena does up to 12 attempts per campaign, across 25 campaigns if needed. Every lead gets fully worked before you give up.

    "Training New Reps Takes Forever and Results Vary"

    New hire takes 3 months to ramp. Even then, they do things differently than your veterans. Athena runs the same proven process regardless of who's on the team. New reps plug into a system that already works.

    "I Can't Scale Without Adding More People"

    More leads = need more staff = more management = more inconsistency. Athena handles volume without adding headcount. Double your leads without doubling your payroll.

    "I Don't Know Why Leads Don't Convert"

    They just... disappear. Were they not interested? Wrong number? Price too high? No clue. Athena captures disposition reasons for every outcome. You know exactly why leads don't convert—and can fix it.

    "My Follow-Up Process Changes Depending on Who's Working"

    Monday's process is different from Thursday's. Morning shift does it differently than afternoon. Athena runs identically 24/7/365. Same message, same timing, same everything—no matter what.

    How It Works

    The Basic Flow

    1. Lead Comes In → System assigns them to 1 of 25 customized campaigns and message sets
    2. Immediate Contact → Welcome text, email, and/or Athena phone call fires instantly (you choose which)
    3. No Answer? → Lead moves to a waiting stage while a timer runs
    4. Timer Ends → Lead moves back to active stage for next contact attempt
    5. Repeat → Up to 12 attempts per campaign
    6. Response Detected → Any reply (text, email, call back, social message) pulls them out of automation into human hands

    Two Pipelines Running Together

    Active Pipeline = Leads ready to be contacted right now. Staff sees these.

    Waiting Pipeline = Leads sitting in timer delays. Staff ignores these. The system automatically watches the clock and moves leads back to the active pipeline the moment their timer expires—no human intervention needed.

    This keeps your team focused only on leads they can actually call. No clutter. No confusion.

    What Happens at Each Attempt

    At every single attempt (1 through 12), you control:

    • Send Athena call? Yes/No
    • Send to power dialer? Yes/No
    • Send to manual call list? Yes/No
    • Send SMS? Yes/No (plus the exact words)
    • Send Email? Yes/No (plus subject, from name, from address)
    • Wait timer before next attempt? You set days, hours, minutes

    What Counts as "Contact Made"

    Keeps Automation Running:

    • No Answer
    • Left Voicemail

    Stops Automation (Moves to Human Pipeline):

    • Booked Appointment
    • Set Follow Up
    • Not Interested (saves the reason why)
    • Did Not Qualify (saves the reason why)
    • Wrong Number
    • Do Not Call

    The 25-Campaign System

    Every lead gets assigned to one of 25 campaigns. Each campaign has its own:

    • Contact methods (Athena vs manual vs dialer)
    • Message content (different words in SMS and email)
    • Timing (aggressive vs relaxed follow-up)
    • Number of attempts (1-12)

    Why 25 Campaigns?

    A/B/C/D/E Testing Built In (and beyond).

    You can run the same lead source through different campaigns and measure which one books more appointments. Example:

    • Campaign 1: Athena calls + aggressive timing (5 min waits)
    • Campaign 2: Manual calls + relaxed timing (2 hour waits)
    • Split your leads 50/50
    • After 30 days, check which campaign has better numbers

    Campaign Chaining

    When a lead finishes all attempts in Campaign 1 without responding, you choose:

    Option A: Send to long-term nurture (slow drip emails over months)

    Option B: Loop to another campaign and start a fresh 12-attempt sequence with different messaging

    You can chain campaigns together. That's up to 300 total touch attempts (25 campaigns × 12 attempts) before giving up. Or loop back and keep going.

    Speed to Lead

    This is the #1 reason the system exists.

    The Problem: Research shows leads contacted within 1 minute are 7× more likely to convert than leads contacted after 1 hour. After 5 minutes, response rates drop 80%.

    The Solution: You choose which instant actions fire when a lead enters:

    • Instant welcome SMS (on/off)
    • Instant welcome email (on/off)
    • Instant Athena phone call (on/off)

    Your competitor is still looking at the notification. Your system already made contact.

    What Gets Tracked

    Every lead carries full history:

    • Entry Data: Day of week, hour of day, business hours or after hours
    • Stage Data: When they entered each stage, when they left, what disposition ended it
    • Channel Data: Which attempt method worked (Athena call, manual call, SMS, email)
    • Response Data: What channel they responded on, how long it took

    Dashboard Reports

    Pull reports on:

    • Contact rate at each attempt (Attempt 1: 15%, Attempt 2: 28%, Attempt 3: 35%...)
    • Conversion rate by campaign
    • Avg attempts needed to book appointment
    • Performance by day of week
    • Performance by hour of day
    • Cost per lead by source
    • Which dispositions happen most at which stages

    Team Accountability

    The Waiting Pipeline Reveals Everything

    Managers can see:

    • How many leads are waiting to come back to active status
    • How many attempts are stacking up for each rep
    • Whether reps are actually dispositioning calls (if they don't, leads pile up)

    Call Recording + Transcription

    Every call (Athena and human) is recorded and transcribed. You can:

    • Review call quality
    • Search transcripts for keywords
    • Train new reps with real examples
    • Catch problems before they become patterns

    Disposition Tracking Exposes Weak Links

    If one rep has 50% "Not Interested" while the team average is 20%, you found a coaching opportunity.

    If leads keep dying at Attempt 6, maybe your Attempt 6 message is broken.

    When Humans Aren't Available

    Athena: Your AI Sales Rep

    Athena handles outbound calling:

    • Makes outbound calls instantly when leads come in
    • Follows up on leads who didn't answer
    • Handles objections using a custom answer database you build
    • Books appointments directly into calendars
    • Runs up to 200 calls at once

    Athena has different scripts per campaign and per pipeline stage. Customize the entire sales conversation—tone, objection handling, qualifying questions, booking flow. Athena becomes your sales process, automated.

    24/7 Coverage

    When leads come in at 11pm:

    • Athena makes outbound calls
    • SMS and email fire automatically
    • Nothing waits until morning

    Sick Days / No-Shows

    When your rep calls in sick:

    • Leads still get contacted
    • Athena picks up the outbound slack
    • Manual call lists stay current for whoever is working
    • Nothing falls through cracks

    Business Hours Protection

    The system has a failsafe: leads won't move to active status (and won't get calls/texts) outside business hours you define. This prevents 3am phone calls even if a timer expires overnight.

    Response Detection Across All Channels

    The system watches everything:

    • SMS reply → Pulls from automation
    • Email reply → Pulls from automation
    • Facebook message → Pulls from automation
    • Instagram DM → Pulls from automation
    • Inbound phone call → Pulls from automation
    • Appointment booked → Pulls from automation

    One response from any channel = human takes over. No double-texting someone who already replied.

    What Business Owners Control

    All campaign settings live in simple forms. No code. No workflow editing. Toggle yes/no, type in text, pick from dropdowns.

    You Control:

    • Which contact methods fire at each attempt
    • What words go in every SMS
    • What subject lines go in every email
    • How long to wait between attempts (set exact days, hours, minutes)
    • How many total attempts before giving up
    • Whether to loop to another campaign or send to nurture
    • Business hours for Athena
    • Athena's sales scripts, objection handling, and booking flow
    • Disposition reasons (add unlimited custom options)

    Changes take effect immediately. No waiting for developers.

    Duplicate Prevention

    The system checks phone AND email on entry. If the lead already exists, data merges instead of creating duplicates. Your database stays clean.

    Integration Options

    • CRM: Comes with built-in CRM or connects to yours via webhook
    • Dialer: Syncs with power dialer software, dispositions flow both directions
    • Calendar: Books directly into staff calendars with service duration awareness
    • Ads: Optional ad platform integration for launching campaigns in 3 clicks with proven templates

    Summary: What Changes When You Turn Athena On

    Before AthenaAfter Athena
    Leads go cold while reps are busyEvery lead contacted in seconds
    Follow-up depends on who's workingSame process runs for every lead, every time
    Leads fall through cracksEvery lead tracked with visible status
    Can't tell if team is workingFull visibility into pipeline and activity
    Sick days = dead leadsSystem works regardless of who shows up
    After-hours leads die overnight24/7 coverage, no gaps
    Guessing what worksData on every attempt, campaign, and outcome
    Wasted ad spend on unworked leadsEvery lead gets fully worked
    New reps take months to rampPlug into proven system immediately
    More leads = need more peopleScale volume without scaling headcount
    No idea why leads don't convertDisposition tracking reveals exactly why
    Process varies by shift/personIdentical execution 24/7/365

    SECTION 2: The Ripple Effects — 2nd and 3rd Order Consequences

    Every fix creates a chain reaction. Here's what actually happens downstream.

    1. Speed to Lead (Contacted in Seconds)

    1st Order: Lead gets a call/text within seconds of submitting their info.

    2nd Order:

    • You catch them while they're still at their computer/phone thinking about your service
    • They haven't had time to fill out your competitor's form yet
    • They remember why they reached out (instead of forgetting 2 hours later)
    • Your contact rate jumps because people actually answer when they just requested info

    3rd Order:

    • Higher contact rate → more conversations → more appointments → more revenue
    • Better ROI on ad spend because you're converting more of what you paid for
    • You can afford to pay MORE per lead than competitors (because you convert better)
    • Competitors who respond slower literally cannot compete with you on the same lead sources
    • You dominate lead sources others abandon as "bad quality" (the leads weren't bad—their follow-up was slow)

    2. Consistent Process (Same Follow-Up Every Time)

    1st Order: Every lead gets the same sequence of calls, texts, and emails regardless of who's working.

    2nd Order:

    • Your best-performing process runs 100% of the time, not just when your best rep is working
    • Bad habits can't creep in—the system doesn't get lazy on Friday afternoons
    • Results become predictable because inputs are predictable
    • You can actually measure what's working (because variables are controlled)

    3rd Order:

    • Predictable results → predictable revenue → predictable business
    • You can forecast accurately: X leads = Y appointments = Z revenue
    • Banks/investors see a real business, not a personality-dependent operation
    • You can sell the business someday because it runs on systems, not on you
    • Your stress drops because outcomes aren't random anymore

    3. Full Pipeline Visibility (Nothing Falls Through Cracks)

    1st Order: Every lead has a status. You can see where every lead is at any moment.

    2nd Order:

    • No more "I thought you called them" conversations
    • Managers spot bottlenecks instantly (50 leads stuck at Attempt 3? Something's wrong with Attempt 3)
    • Reps can't hide—their pipeline is visible
    • Handoffs between shifts actually work because the next person sees exactly where things stand

    3rd Order:

    • Accountability without micromanagement → better culture
    • Management time shifts from chasing updates to strategic work
    • You identify your actual constraints (maybe it's not lead quality—maybe Attempt 4's message sucks)
    • Problems get fixed faster because they're visible faster
    • Team trust increases because everyone's working from the same truth

    4. Team Accountability (Know Who's Working)

    1st Order: You can see activity, dispositions, and outcomes by rep.

    2nd Order:

    • Top performers become visible (and can be rewarded/promoted)
    • Underperformers become visible (and can be coached or cut)
    • Gaming the system gets harder—you see real outcomes, not just "I made calls"
    • Compensation can tie to actual results because results are tracked

    3rd Order:

    • A-players stay because they get recognized; B-players rise or leave
    • Your average rep quality increases over time through natural selection
    • Training becomes targeted: you fix what's actually broken for each person
    • You build a culture of ownership because hiding isn't possible
    • Management decisions become defensible (fired for cause, promoted for results—all documented)

    5. Coverage Regardless of Staffing (Sick Days Don't Kill Leads)

    1st Order: Athena keeps working even when humans call in sick, quit, or no-show.

    2nd Order:

    • One person out doesn't create a backlog that takes days to clear
    • Vacation requests don't cause anxiety about pipeline collapse
    • You can let people take time off without the business suffering
    • Turnover hurts less because the system holds institutional knowledge

    3rd Order:

    • Lower stress for you (business doesn't depend on everyone showing up)
    • Lower stress for employees (they can actually be sick without guilt)
    • Better retention because people aren't burned out covering for each other
    • You can hire for quality instead of desperation (not panic-hiring to fill gaps)
    • The business becomes resilient instead of fragile

    6. 24/7 Operation (After-Hours Leads Get Worked)

    1st Order: Leads that come in at night/weekends get immediate follow-up.

    2nd Order:

    • You capture leads your competitors ignore until Monday
    • Night/weekend leads often have higher intent (they're researching on their own time)
    • Your cost per acquisition drops because you're converting previously wasted leads
    • You can run ads 24/7 instead of pausing them after hours

    3rd Order:

    • Expanded ad schedule → more total leads → more revenue
    • You serve customers in different time zones without adding shifts
    • Your "working hours" become irrelevant to your sales capacity
    • Competitors with 9-5 operations can't match your coverage (structural advantage)
    • You tap into lead sources others write off as "low quality" (they just couldn't respond fast enough)

    7. Data on Everything (Know What Works)

    1st Order: Every attempt, disposition, and outcome is tracked with timestamps.

    2nd Order:

    • You stop guessing which messages work—you see the data
    • You find out Attempt 5 has a 2% contact rate (maybe skip it or change the message)
    • You discover Tuesday 10am-2pm has 3x the contact rate (shift your budget there)
    • You learn that leads from Source A convert 2x better than Source B (reallocate spend)

    3rd Order:

    • Every dollar of ad spend gets optimized based on real performance
    • Your cost per acquisition drops quarter over quarter as you cut waste
    • You build institutional knowledge that survives employee turnover
    • Competitors flying blind can't keep up with your efficiency
    • You compound improvements: 5% better this month + 5% better next month = massive gap over time

    8. Every Lead Fully Worked (No Wasted Ad Spend)

    1st Order: Leads get up to 12 attempts across multiple channels before being marked dead.

    2nd Order:

    • You extract maximum value from every lead you paid for
    • "Bad lead sources" often turn out to be "under-worked lead sources"
    • Your effective cost per lead drops because conversion rate rises
    • Sales team stops cherry-picking easy leads and ignoring hard ones

    3rd Order:

    • Higher ROI on marketing spend → bigger budget → more leads → more revenue (virtuous cycle)
    • You can profitably buy leads competitors can't (because you convert more of them)
    • Your break-even cost per lead is higher than competitors' (you can outbid them)
    • Lead sources that "don't work" for others become goldmines for you
    • Marketing and sales alignment improves because leads actually get worked

    9. Instant Rep Onboarding (New Hires Plug Into Existing System)

    1st Order: New reps follow the same automated process as veterans from day one.

    2nd Order:

    • Ramp time drops from months to weeks (or days)
    • New hire results are predictable because the process is predictable
    • Training focuses on conversations, not on "how to follow up"
    • Bad hires get exposed faster (if the system works and they still fail, it's them)

    3rd Order:

    • You can hire more aggressively because onboarding isn't a bottleneck
    • Turnover becomes less painful (replacement ramps faster)
    • You can test more candidates because trying someone out costs less
    • Your hiring mistakes cost less (catch them faster, replace them faster)
    • Growth doesn't stall waiting for reps to "figure it out"

    10. Scale Without Adding Headcount

    1st Order: Athena handles increased lead volume without hiring more reps.

    2nd Order:

    • Revenue grows faster than payroll
    • Margins improve as you scale (opposite of typical service businesses)
    • You can test bigger ad budgets without committing to bigger teams
    • Seasonality doesn't require temp hires (Athena absorbs the spike)

    3rd Order:

    • Profit per employee increases → business becomes more valuable
    • You avoid the management complexity that comes with larger teams
    • Cash flow stays healthier (revenue comes before you need to hire)
    • You can enter new markets/services without hiring dedicated teams first
    • Exit valuation improves: buyers pay more for scalable systems than for headcount-dependent businesses

    11. Disposition Tracking (Know Why Leads Don't Convert)

    1st Order: Every lost lead has a reason recorded: not interested, wrong number, didn't qualify, etc.

    2nd Order:

    • You discover 30% of your leads are wrong numbers → fix your form validation
    • You find "price too high" is the #1 objection → adjust your offer or messaging
    • You see "went with competitor" spiking → investigate what they're doing differently
    • You identify which lead sources produce which objections

    3rd Order:

    • Product/pricing decisions get informed by real sales data
    • Marketing adjusts messaging based on actual objections (not guesses)
    • You fix problems at the source instead of blaming "lead quality"
    • Win-back campaigns target the right people with the right message
    • Your entire funnel improves because you're plugging actual holes, not imagined ones

    12. Identical Execution 24/7/365 (No Process Variation)

    1st Order: Morning shift, night shift, Monday, Saturday—same exact follow-up runs.

    2nd Order:

    • Customer experience becomes consistent regardless of when they inquire
    • You can make brand promises ("We'll call you within 60 seconds") and actually keep them
    • Quality doesn't depend on mood, energy, or who's managing that day
    • Your reputation becomes reliable

    3rd Order:

    • Word of mouth improves because experiences are consistently good (not hit-or-miss)
    • You can build a brand (brands require consistency)
    • Reviews become predictable (fewer random bad experiences)
    • Referrals increase because people know what to expect when they send friends
    • You build trust at scale—something most small businesses never achieve

    The Math That Matters

    • Industry average: 68% of leads never get proper follow-up
    • Speed to lead: 7× better conversion when contacted in first minute
    • Attempt persistence: Most businesses stop at 2 attempts. Top performers do 8-12.
    • Channel mix: Combining call + SMS + email outperforms any single channel