FREE High Ticket Sales Training For 2026 | From a $10M Closer

Business focus summary (High-ticket remote sales training)

Instructor outcomes + positioning

• Claims $10M+ closed in sales contribution over ~5 years; teaches a “high ticket sales” approach for remote closing on Zoom/phone.
• Targets a jump from 25% close rate → 45–50% consistent close rate (with some weeks higher).
• Promises performance outcomes like $8K–$40K/month realistic range, with examples of much higher months (e.g., $80–$100K/month, and commissions like $39K in one month).

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High-ticket remote sales operating model

Definition / offer structure

• Remote closer sells online services with price points from $2,000 to $100,000, sometimes 1-call and sometimes 2-call closes.
• Rule of thumb:
  • ≤ $20,000 tends to be 1-call close
  • > $20,000 tends to become 2-call close
• Call length: typically ~45 minutes booked.

Pipeline “heat/power/tire-kicker” mix (daily call math)

• Of 10 prospects per day:
  • 20% “buyers in heat”
  • 60% “buyers in power”
  • 20% “tire kickers”
• Emphasizes identifying buyer type in first 5 minutes to avoid wasting time.

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Core sales playbooks / frameworks (process)

1) One-Call Close Framework (6 sections)

1. Intro & rapport
   • Keep pleasantries short (example: only ~3 questions early).
   • Ask for permission to enter purpose/agenda.
2. Setting frame / agenda (first ~5 minutes)
   • Communicate: if qualified, they’ll buy + be onboarded today.
3. Discovery
   • “Most deals close in discovery.”
   • Technique: ask more questions, say less statements; avoid “fluff” because it yields “fluff answers.”
4. Transition
   • Permission-to-proceed sentence (based on their goal + your ability to solve it).
5. Pitch
   • 3 pillars only (groups of three, “brain-comprehension science”).
   • Each pillar uses PFS:
     • Problem → Feature → Solution
   • Do “temp checks” after each pillar to confirm understanding/agreement.
6. Closing
   • Exhaust questions first (no price-drop momentum breaks).
   • Alignment (re-confirm goal/problem fit) before price drop.
   • Value-stack price before price drop; then silence.
   • If objection appears, handle then return to “assume the close” next steps.

2) Discovery Framework: “Roller Coaster” (reordered emotions)

• Common/typical approach (criticized): discovery starts with current struggles, then future goals.
• “Roller coaster” approach:
  • Start with future state goals (get them emotionally up)
  • End discovery with current state struggles (get them emotional again)
• Uses emotional sequencing to improve close rates on higher-acumen buyers.

Practical “closer” logic inside discovery

• “Knock → open → walk all the way through the door”
  • Don’t stop at surface answers; dig deeper across layers (current method, constraints, why it fails).

Goal expansion: “Two-step goal”

• Avoid tiny goals that don’t justify high-ticket spend.
• Always push from: 1) a first-step/comparison goal (e.g., “$5–$8K/month”) 2) to a bigger vision (e.g., multi-location, $1M+/year, life goals)
• Goal is to make payment feel rational emotionally.

3) Transition close question: “Permission to proceed”

• Example logic: “We can help you solve X and reach Y—do you mind if I break down how?”
• Immediately after this, he optionally uses Yes/No/Maybe frame.

4) Yes/No/Maybe Frame (objection pre-handling)

• Used right after transition/purpose to reduce “maybe” and “thinking about it.”
• If prospect gives “between” answers, redirect:
  • “I want this between yes/no—if it’s a no, we can move on; if it’s a maybe, that usually signals a no.”

5) Objection handling: “Revolver Method” (pre-handle → fire bullet)

• Two phases: 1) Load bullets during discovery with closing questions 2) If objection still happens, ask 3 follow-up questions to uncover the real objection, then use “their own words against them” (labeling).
• “Bullets” are loaded via up to 6 pre-handle questions, centered on:
  • Timing
  • Commitment
  • Solution fit (as a question)
  • Partner/decision-maker
  • Time available
  • Finances if needed
• Strategy: don’t tell them what time/money “you need”—ask them for their constraints to avoid self-creating a no.

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Pre-call + qualification requirements (conversion-rate levers)

Mandatory inputs

• Pre-all preparation video
  • He insists prospects confirm they watched it; if not, he may reschedule.
  • Purpose: reduce trust friction and pre-pitch + provide visual representation + social proof.

Red-flag pre-qualification (only when red flags appear)

• Early in call, check:
  • Business partner decision-maker
  • Spouse involvement (esp. for B2C purchases)
  • Finances
  • Buying state (are they actually in decision mode—e.g., not driving, not on lunch break, not distracted by kids)

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Pitch design (persuasion structure)

• Pitch in groups of three pillars
• Each pillar uses:
  • Problem: restate their words
  • Feature: what your service does
  • Solution: the outcome/benefit for them
• After each pillar, confirmation prompts (e.g., “Does that make sense?” “Will it help?”).

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Metrics / KPIs and targets mentioned (sales performance system)

Primary call metrics tracked

• Close rate (%)
• Cash collected per call (tracks realized revenue, not just conversion)
• Emphasis: don’t only maximize close rate—optimize for more cash per call via financing/pitching mechanics.

Reverse-engineering targets example (KPI math)

• Example salesperson:
  • Commission goal: $30,000/month
  • Commission rate assumed: 10%
  • Required company cash collected: $300,000/month
  • Workdays: ~23
  • Daily cash target: $13.5K/day
  • If deal price is $7,000 → need 2 deals/day paid in full
• Example setter:
  • Commission goal: $12,000/month
  • Requires closing ~1 deal/day
  • With observed metrics: 1 deal per 2.5 sets
  • Target input: ~3 sets/day

Close rate benchmarks

• Training claims improved from 25% to 45–50% consistent close rate, sometimes higher.

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Concrete examples / case studies used in the training

Gym Launch (Alex Hermoszi gym scaling context)

• Example offer: $40K product; typically 2-call close
• Commission often modeled at 10% cash collected
• Claims pre-all prep video/social proof drove $40,000 deals sometimes in one call

B2B role example

• Mentions a B2B tech seller (“No Code Will” / Will Maxwell) selling cyber security with:
  • $250,000 base salary + commission
  • Annual earnings cited $500–$600K

Revenue / commission ranges

• Multiple income examples including:
  • first $20K commission check at month 2
  • higher closer ranges
  • team-level earnings claimed for sales managers

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Actionable recommendations (how to implement)

Sales execution checklist (per call)

Within first 5 minutes

• Confirm pre-all video watched
• Pre-qualify red flags (only if present)
• Set frame: qualified prospect buys + onboarded today

During discovery

• “More questions, less statements”
• Use “roller coaster”: future goals early, struggles late
• Expand to “two-step goals”

During pitch

• 3 pillars, PFS per pillar
• Temp checks after each pillar

During closing

• Exhaust questions until “zero questions”
• Alignment: direct “will this get you to your goal/problem?”
• Value stack, then price drop + silence
• “Assume the close” next steps (login/scheduling/payment)

Role-landing (operations for job search)

Sourcing strategy for sales reps

• Facebook Ad Library
  • Filter by niche (e.g., fitness coaching) to find high-spend companies.
• Skool “Discover community”
  • Look only for paid groups and confirm high-ticket presence (>= $2,000).

Outreach scripts

• LinkedIn
  • Search company team → DM sales manager/closers with: “I applied, excited, what next steps?”
• Cold DM alternatives:
  • “Work for free” pitch: offers to work setting leads in someone’s pipeline (framed as hunger/initiative)
  • Mentor/coach funnel hack: DM a coach’s “help get started” prompt → then orchestrate sets on the influencer’s follower base

Application components (conversion assets)

• Resume: tailor experience; reframe non-sales work into sales skills
• Loom video: show conviction + energy + presentation
• Upload call recording or mock call

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Investing/markets note (high-level only)

• Minimal market/investing content; mostly focused on sales execution.
• Mentions “trading offer” and stock market belief in job application examples, but the emphasis remains on sales process and execution.

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Mentioned presenters / sources (as stated)

• Alex Hermoszi (referenced multiple times; gym launch context; “$100M offers” referenced earlier)
• Will Maxwell (“No Code Will”)
• Sean Bakini
• Jordan Belfort (referenced for “anchoring” concept)
• Kobe Bryant (mindset quote)
• Paul Daly
• Oren/Orin Clov/Cloff / “Orin Cloff” (referenced pitch/brain science + frameworks)
• Braden Oliver (business partner; referenced for sales career path)
• Brent Oliver (Gym Launch sales manager in story)
• Max Thompson (referenced as sales manager in an interview context)
• Devon Jatho (Media Mastery referenced)
• Jay / Michael Santana / Lurai / Lucas Rios / Brianna (examples in earnings/reverse-engineering stories; identities mentioned as such)
• Plato (quoted/attributed environment → mind analogy)