Video summary

1M€+/MOIS, ADVERTORIALS, VALUE RAFALE | MASTER #40

Main summary

Key takeaways

Business

Business model & results mentioned

  • Revenue scale

    • €800,000 to €1,000,000 revenue/month (claimed by Loï / “Big F brand”)
    • Another cited example: a brand/advertising library doing “€115 million in 11 months” (used to illustrate creative/whitelisting strategy)

  • Ad traffic & costs (examples they track)

    • ~100% of ads from Reddit (for one operator)
    • Long-form/advertorial spend benchmark: “more than 20¢ CPM” (currency unclear)
    • Creative performance ranges/benchmarks:
      • $8 CPC
      • $150–$250 CPM (noted as current ranges)

  • Profit & offer impact

    • “Already made $100,000+ profit” from selling a guarantee

  • AOV

    • AOV above $50 (explicitly for US targeting in a dietary supplement example)

Core strategy: “Avatar-first” + advertorial/listicle funnels + rapid testing

Avatar research process (playbook)

  • Reddit rabbit-hole

    • Search keywords relevant to the problem (e.g., “cavities” / “curries”)
    • Use subreddits and interaction counts (comments/posts) as virality/problem-signal filters

  • Categorize audiences by awareness

    • People discussing the problem only (unaware of solutions)
    • People discussing solutions (educated audience)
    • People who already solved it and help others (most purchase-ready)

  • Build a “deep persona”

    • Go beyond demographics: define how the character thinks/speaks and their daily context
    • Example: hair loss after divorce + children leaving home → persona-specific messaging

  • Use GPT to map persona

    • Reddit/Amazon/customer reviews → feed into GPT avatar mapping
    • Generate ad verbs/wording that match how the persona expresses desires/problems

  • Run multiple sub-avatars

    • Create many sub-avatars instead of one message for everyone
    • Create dedicated landing pages per avatar

Funnel architecture (execution pattern)

  1. Product page first (validated before adding complexity)
  2. Add Advertorial (long-form)
    • Authority/doctor-style or story-style page
  3. Redirect to a Listicle page
    • Usually emotionally framed, then tied back to the product
  4. Merge listicle + product page to reduce steps
    • “Listicle at the top, product page just below”
    • Goal: reduce page hops while preserving the persuasion layer

“Advertorial → Listicle” mechanics they claim drive conversion

Advertorial structure & tactics

  • Opens with a mechanism introduction and strong authority
    • Often a doctor/authority figure in first-person or scripted narrative
  • Uses a forced reading flow
    • USP integrated so readers feel compelled to continue
    • Example of implied pressure: “if you don’t buy, your life is ruined” style wording (referenced via subtitles)
  • Claim/angle style examples
    • Dietary supplement story using:
      • ingredient origin (“village”)
      • industrial/production narrative
      • war/banned-in-US hook (aggressive angle)

Listicle structure

  • Shifts after the advertorial from generic problems to product-centric “reasons to buy”
  • Example (oral health supplement)
    • Benefit 1: ingredient/“hydroxypatite” mythos + uniqueness framing (“destroys…” within 7 days)
    • Benefit 2: artisanal mining + whiteness/better breath
    • Discredits alternatives in the advertorial (as stated: “I discredit others”)

Testing system & creative operations (CBO + weekly iteration)

Creative testing cadence

  • Test several avatars per week
    • “If I run a test for a week, we’ll generally have 5 avatars”
  • Traffic starts at the product page
  • If feedback is good, they create Advertorial / “VSL lecture” style pages via the redirect setup

Meta campaign structure (as referenced)

  • CBO method using elements:
    • “adset, concept, avatar”
  • Optimization approach
    • When an avatar performs well: iterate on components like headline and first image later

A/B test rules (claimed approach)

  • Later weeks often change only the headline (keeping body copy the same)
  • Also test the first image
    • Their framing: often problem-solution before/after

Creative intelligence / “spy” tooling

  • Use “On ___rex / equivalent of spy” to pull rotating headlines from big spenders
  • Monitor international headline patterns and adapt to the vertical

Marketing frameworks explicitly referenced

  • Problem-Agitation-Solution (PAS)
    • “PAS converts best” in their niche (explicitly named)
    • Works for long copy + advertorial
  • Long-form ad copy format
    • Baseline long-form copy repurposed into VSL scripts (2–3 minute VSL mentioned)
  • Avatar research framework
    • Persona → verbs/speaking patterns → messaging hierarchy
  • Query/Awareness targeting model (implicit)
    • Match keyword + awareness stage to determine education vs direct conversion approach

Product/offer tactics (increase AOV/revenue without changing core traffic)

Guarantees

  • Sell a result guarantee (example: 2-year warranty/guarantee)
  • Mechanism described:
    • dissatisfied users request full refund/chargeback
    • but it “already adds free profit”
  • Profit claim:
    • $100,000+ attributed to this guarantee tactic

Subscription direction (future)

  • Not focused on subscriptions initially
  • Plan: build subscription capability later to ensure revenue predictability

Upsells (checkout + post-purchase stack)

  • Upsell examples mentioned:
    • Multiple “cells” / add-on offers (upsell 1…upsell 6 described)
    • “Priority processing” tiers
  • Emphasis:
    • Use a checkout system and video/doctor content inside checkout flows

Channel strategy (distribution + diversification)

Paid channels mix

  • Emphasis described:
    • Reddit heavy (even 100% in one case)
    • Meta major share in 2025: “60% Meta / 40% TikTok”
    • Later additions: TikTok Shop, tests with Snap (and others)
  • Google Ads (secondary traffic source)
    • Goal: increase cold traffic to reduce dependence on Meta
    • “Don’t neglect Google Ads”
    • Agency mentioned for Google:
      • onboarding: $4,000
      • then $2,500/month + weekly 5%
      • aim: spend more on Google by Q3
  • Google keyword strategy
    • Rank for high-intent comparisons (“top 5 best strollers…” style)
    • Then rabbit-hole into educating unaware audiences with lower CPC keywords
  • Tracking/automation
    • Mentions popups/lead capture during advertorial education

TikTok specific ops tips (high-level execution)

  • Don’t restart campaigns daily (resets learning)
  • If performance collapses:
    • recreate pixel (or begin with 100 pixels early, depending on stage)
  • Use smart campaign structures (Smart Campaigns)
  • Scaling method:
    • duplicate campaigns at small spend (e.g., $50)
    • scale profitable ones within ~half-day to next-day windows
  • Test feedback/quiz elements on thank-you/post-purchase pages
    • Example question: “what almost made you not buy?”
    • Use detailed answers to improve refund/discount targeting

Operations & management lessons (scaling beyond marketing)

Discipline & team management process

  • If staff arrives late:
    • call them out in front of everyone and enforce policy (e.g., “3 minutes late max”)
    • rationale: create social pressure to improve punctuality
  • Core principle:
    • “rigor” and constant discipline in company culture

Customer service/returns process overhaul

  • Stated issue:
    • cancellations weren’t actually applied; disputes/backlogs accumulated for months
  • Fix approach:
    • fire the existing team and rebuild using compensation calculations
  • General lesson:
    • avoid paying too much upfront; build better processes for returns/disputes

Hiring/organizational scaling view

  • At ~100–200 cases:
    • don’t delegate core decision-making yet (especially sales funnel/ads performance)
    • hire minimal specialists (e.g., video editor) while keeping strategic control
  • Emphasis:
    • Marketing + sales funnel mastery is the bottleneck
    • Process restructuring becomes essential when revenue grows (they claim marketing alone can stifle growth)

Concrete “actionable recommendations” distilled

  • Use a Reddit rabbit-hole research workflow (and complement with reviews/comments elsewhere)
  • Build sub-avatars and create dedicated landing pages for each
  • Validate the product page first, then add advertorial, then listicle
  • Iterate creatively with:
    • headline-only A/B tests (late-stage)
    • first image testing (problem-solution before/after)
  • Scale by:
    • starting from a winning creative framework and shifting audience/angle
    • using “big spenders’” headline patterns as templates
  • Improve economics with:
    • result guarantees
    • merged listicle + product page (reduce friction)
    • structured upsell stacks at checkout
  • Diversify acquisition:
    • add Google Ads cold traffic to stabilize business health versus Meta volatility

Sources / presenters mentioned

Presenters / people

  • Loï (presenter; Facebook Ads for “Big F” brand)
  • Nico (community contributor; presenter/host in background)
  • Matthéo (another person mentioned in conversation; treated as an avatar example)

Other referenced/attributed creators, brands, tools (not presenters)

  • Mark B / “Mark Bill Brands” (mainstreaming long-form approach)
  • Happy Mammut, Nors Organic, Froya, Primal Queen (brands cited for creative structure examples)
  • Carnegi / Arné Carneg / Arn… (brand creator mentioned with a claimed $75M last year; name partially garbled)
  • Tobias/Tony… Robbins (book reference: Unlimited Power)
  • Paolo Coelho (book reference: The Alchemist)
  • Tools/references: Shoplift, Check…, Adpy, Cora, Claude, Xfield, GPT, LIA

Original video