META ADS, SCALING, VALUE RAFALE, CLAUDE CODE, QUICK WIN CRO | MASTER #56

Episode goal (business execution focus)

• Share “quick wins” for e-commerce scaling—primarily around Meta ad creatives, ad account/BM resilience, landing page conversion levers, and fast product/offer validation.
• Emphasis:
  • Iterate winners into new angles
  • Launch fast using proven concepts
  • Protect ad operations from account bans

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1) Turn existing “ad winners” into more winners (creative format playbook)

Core process (immediate to implement)

1. Take currently working ads (Ad Winners).
2. Convert the same script into a new cartoon/animated format to refresh attention and improve engagement.

Popular production styles mentioned:

• Cutout stop-motion / clay motion
• Skeletal formats (e.g., a person shown “inside their body”)
• Supplement-related skeletal/medical visuals (called out as a “huge hit”)

Format inspiration sources

• Use any successful cartoon “style DNA” for your avatar, e.g.:
  • Gruit, Peppa Pig, South Park
• Adapt formats tied to cultural/trend hooks, e.g.:
  • Toy Story-style after the movie release

Variation boost (music + rhymes)

• Keep script meaning the same.
• Use AI tools to:
  • Rewrite into rhyming lines without changing meaning
  • Generate music in Sono
• Claim: “very popular right now”

Framework idea: Copy inspiration, not blank-slate concepts. Test a proven script + proven avatar + a new format/angle to reduce failure risk.

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2) Protect Meta ad operations: account health + backup system (ban resilience)

Problem addressed

• Recurring waves of blocking:
  • Business Manager (BM)
  • Ad account/profile
  • Full bans

Quick wins / tactics

• Build ad accounts from your own Business Manager (not only agency accounts)
  • Agency accounts were mentioned as “a little less than half” of dependency.
• Recreate a Facebook profile using your real name
  • Even after prior bans:
    • Use real name (or other given name if applicable)
    • Must match what works on ID card
  • Then:
    • Create BM after profile is compliant
    • Create ad accounts tied to the BM (especially where you spend most)

BM unlock “settings trick”

• A tutorial/trick referenced from Leo B for a stuck/unlocked Business Manager.
• Sometimes unlocks with a small settings adjustment.
• Cost note:
  • An “insider” unlock can cost about $2000
  • The trick may save money, but doesn’t work every time.

Backups are non-negotiable (operational playbook)

• “Backup” is described as underutilized.
• Argument:
  • Backups take ~30 minutes + some money
  • But a blocked BM can cost thousands/day (loss of ability to generate revenue)

Concrete backup setup recommendations:

• Minimum: 2 Business Managers per brand
  • One main BM where “almost everything works”
  • One backup BM to receive shared ad accounts from agencies if needed
• Additional backups:
  • Backup profiles (family names)
  • Proxy setups / multi-account tooling (examples: Goin, MultiLogin) to avoid multiple-account detection from same IP
  • Different admins not aligned as advertisers/page owners (account separation to avoid “contamination”)

Example/case

• Recalled anecdote (friend Vince):
  • ~2000: “100 C$” context (likely ad spend or revenue context)
  • Lost BM → “the machine stopped.”

Execution goal

• Prevent a single account event from shutting down the entire ad business.

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3) Launch strategy: find big-TAM opportunities + validate fast (under 1 week)

Fast-launch framework

• Goal: find and launch an idea in < 1 week
• Primary strategy:
  • Choose a niche with big TAM
  • Avoid overly restricted niches where mistakes are costly
  • With large TAM, you can be “wrong” on specifics and still profit

How to select products quickly

• Use spy software signals:
  • Look for spikes in ad activity (competitors actively investing)
• Product search size:
  • Instead of 40 products / 5-week searches, shortlist max 5 products in 2026
• Prioritize margin math:
  • Minimum margin math mentioned: “x3 x4”
• After 1–2 “gems”:
  • Do deeper market research
    • Customer awareness level
    • Competitor research around the same “product + solution” framing

Competitive creative process

• Don’t copy what has the most impressions/views over 3 months.
• Instead:
  • Target what competitors are launching now
  • Launch faster with adaptations

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4) Creative + video format wins (examples of “what’s printing”)

Top format concepts mentioned

• Warehouse format (called out as a hit)
• Reuse organic trend concepts once the trend “takes off”
  • Example: Kumar method
    • Noted as ~50M views on Instagram
    • Brands copied the format
    • Still works, but less than 3 months ago

Automation “radar” for TikTok organic → ad concepts

• Build a radar system scanning TikTok for organic content performing well.
• Output:
  • Pre-concepts + pre-scripts based on scripts you already have
• Reasoning:
  • “Marketing success = copy inspiration”
  • Test new format with proven script/avatar

Operational timeline

• Automation in progress for 7 weeks
• Intended to enable testing new TikTok concepts every week

Creative tooling advantage mentioned

• “Monstrous speed” creating static shots/videos (linked to tools like LIA)
• Realistic rendering via tools (e.g., Sidence 2.5) to reduce “AI detectability” concerns visually

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5) Landing page monetization: “stock bar” (conversion lever + revenue per visitor)

Quick win: “almost sold out” stock bars

• Landing page element:
  • Show stock/availability bar style used by big brands
• Also suggested to test in ads

Test & measurement guidance (important KPI shift)

• Don’t optimize only for conversion rate.
• Optimize for Revenue per Visitor (RPV) / revenue per session.
• Example described:
  • High conversion rate but low AOV
  • CPA increases → profitability suffers
  • Stock bar approach can increase AOV and improve RPV

Trading credibility constraint

• Keep scarcity credible; fake scarcity hurts.
• Europe guidance:
  • Keep it “lighter” with simpler stock/offer messaging

Psychological principles referenced

• Urgency / scarcity (“scarcity”)
• Social proof (reviews, ratings, Trustpilot)
• Authority (authority figure cues)
• “Just basic things” without being too aggressive

Examples referenced

• An app mentioned in Switzerland (spelled unclearly, appears like “Coca”)
  • Uses daily promotion-style urgency
  • Noted as a major US hit
  • Also said to work in Europe

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6) EA “whiteboard” authority format for explainers (attention + anti-AI vibe)

Recommended format

• Whiteboard / whiteboard illusion of a continuous shot (feels like no editing / “happening live”).

Why it works (as described)

• Keeps viewers longer (improves attention span).
• Authority cue:
  • “Authority figure with whiteboard” signals trust/education.
• Anti-AI detection claim:
  • “Bypasses AI detection tickets” due to fewer facial/body artifacts.

Use case

• Explaining supplement/mechanism step-by-step:
  • Problem mechanism → solution mechanism
  • “Schematic” visuals + clear text + product introduction

Production instruction

• Hooks + CTA required.
• Record voiceover separately and match to clips so editing/AI voiceover doesn’t complicate recording.

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7) “Review-to-asset” automation (weekly Trustpilot → ads + email + ops tasks)

Customer feedback loop playbook (automation)

• Every week:
  • Claude/automation pulls Trustpilot reviews
  • Categorizes feedback into:
    • What marketing can exploit (angles/messages)
    • What operations must fix (product/support issues)

Marketing output:

• Convert best review parts into static ad canvases
• Include:
  • Brand + headline + 3 formats/variations
• Best suited for remarketing

Email output:

• Email team gets categorized feedback to update email content.

Shared internal knowledge:

• Connect Claude + Notion
• Create a filtered task list on “Azana/Asana” for teams
• “Whole team is aware” each week; customers drive improvement.

Timing/effort

• Setup time claimed: about 1 hour
• Feedback cadence: weekly

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Key metrics / KPIs explicitly mentioned

• Revenue per visitor (primary optimization metric)
  • Compared to using conversion rate alone
• AOV (Average Order Value)
• CPA (Cost per acquisition) and profitability implications
• Margin math target: “x3 x4”
• Ban impact:
  • Blocked BM can cost “thousands/day”
• Automation outcomes:
  • Weekly rating averages and “gems” extracted (no specific numeric targets provided)

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Concrete actionable recommendations (condensed)

• Creative iteration loop: winner ad script → new cartoon format → add rhyme/music variations.
• Meta resilience:
  • Maintain at least 2 BMs per brand
  • Recreate profiles using real identity if needed
  • Use backup profiles and account separation to prevent “contamination”
• Speed to market:
  • Find idea and launch in < 1 week
  • Shortlist max 5 products; validate via competitor ad activity spikes and margin math
• Landing page conversion lever:
  • Test stock/“almost sold out” bars
  • Optimize for RPV, not just CVR
  • Keep urgency credible; use “lighter” versions in Europe
• Content format:
  • Use whiteboard authority explainer format for mechanism education + longer watch time + CTA
• Feedback loop automation:
  • Weekly Trustpilot → categorize → generate ad assets + update emails + create ops tasks in Asana/Notion

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Presenters / sources mentioned

• Matthéo
• Nico
• Leo B (Business Manager unlock tutorial / settings trick)
• Vince (historical BM loss anecdote)
• Brad Jacobs (books referenced: How to Make Several Billion and a 2025 follow-up)