100K€/DAY, CRÉATIVE PROCESS, RÉUSSIR AUX US, HOOK IA, VALUE RAFALE | MASTER #52

Business strategy & scaling focus (creative/marketing ops)

• Aggressive scaling is driven by creative “vehicles”—a combination of:
  • Market
  • Product
  • Offer
• These vehicles are paired with a repeatable creative factory.

Example scaling results (mentioned)

• One brand: 40 “cadelles/clicks” in one week
• Another brand: 100 “cadelles” in just over a month
• Core claim: scaling success came “clearly thanks to the vehicles” (market/product/offer fit), with creative performance reinforcing outcomes.

Creative Performance Agency (Luma agency) operating model

• Works with clients from €300K to €3M
• Transitioning “towards only US shops”
• Stated goal: reach at least €1M “in months” (target phrasing varies; intent is roughly €1M/month outcomes)

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Creative agency playbook: volume + diversity + feedback loop

The agency describes creative scaling as three pillars:

1) Volume (more iterations, more shots)

• Strong advocate of sending as much creative volume as possible while maintaining “good quality.”
• Micro-level quality monitoring is used to ensure volume doesn’t degrade performance.
• Operational rule of thumb:
  • ~2–3 variations (“batches”) per day per editor
  • ~3 batches/day as a “good average”
• Batch structure
  • A main video + 3 variations
  • Changes concentrated in the first 6–10 seconds
• Production flexibility
  • Some editors can produce 2 batches up to 4–5, depending on format/effort.

2) Diversity (avoid “everything and nothing”)

• Diversity includes not only format, but also:
  • Marketing angles
  • Psychological/identity segmentation
• The goal is to improve relevance and Meta delivery through different “reasons to care.”

Format diversity examples

• VSLs
• Short forms
• Mash-ups
• Static
• Native ads
• Variants with/without stylized (e.g., Pixar-like) vs realistic styles

Static concept diversity examples

• Headline statics
• Before/after
• “Us vs them”
• Post-it style
• Warehouse style (stock/emergency inventory themes)

Psychological diversity / psychological targeting

• Segmenting by:
  • Avatar subtypes
  • Emotions
  • Identity
• Uses “identity types” conceptually aligned with:
  • Actual self
  • Ideal self
  • Should-be self
• Emotional burden split:
  • Some audiences respond better to fear/frustration/pain
  • Others respond better to joy/positive charge

3) Strategic monitoring & review mining (market-driven iteration)

• Combines:
  • Competitive monitoring
  • Review mining from:
    • Post-purchase questionnaires
    • Reddit, forums, comments under ads
    • Cora/blogs/comments (etc.)
• Technique: count occurrences of emotional “life moments” / pain / desire triggers
  • If a slice appears ~300–500+ times, it suggests a larger addressable audience.
• Pattern recognition process:
  • ~1 week monitoring
  • Identify repeated “concepts” across brands (not just scripts or brands)

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Frameworks / processes explicitly referenced or implied

• Creative factory / funnel validation loop
  • Test many concepts with volume
  • Use performance data to validate/invalidate via iterations
• Batch testing system
  • Focus big changes in the first 6–10 seconds
  • Keep the rest consistent when helpful
• Offer testing model (CBO with coherent winners)
  • Recommend large, clean CBO tests to preserve offer consistency
• Review mining + occurrence counting
  • Extract real emotional triggers from user language; prioritize high-frequency themes
• Pattern recognition
  • Monitor multiple scaling brands; detect abnormal repetition of concepts (e.g., warehouses, “I am” formats)

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Key metrics & KPIs mentioned (and targets)

Production metrics

• Editors: team size ~18–20
• Output rate: ~3 batches/day average
  • some editors: 2–3
  • some: up to 4–5
• Video test requirements: 2–3 videos ~30 seconds each

Performance metrics referenced

• ROS
  • described as “reduced ROS” when showing faces early, improved with women/hands (context-dependent)
• Net new iterations tracked (not rigid percentage thresholds)
• ROAS and break-even logic:
  • For native products: if no minimum ROAS break-even on product page, don’t expect ROAS 3–4 on listicle

Scaling / monetization targets

• Goal stated: €1M “in months”
• Mention of creatives potentially reaching €1M spend (e.g., “soon have spent 1m this month”)

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Concrete examples & actionable recommendations (creative, offers, operations)

1) Hook-first testing (first 6 seconds)

• Claim: the first 6 seconds can “change everything.”
• Best-performing hook tactics:
  • Extreme/unnatural exaggeration
    • e.g., explosive stomach, abnormal leg veins, super-fast regrowth (not realistic, but used as examples)
  • Audience callout in the hook
  • Advanced markets: attack the offer in the hook
    • Example anecdote: “best offer ever” + offer justification mid-creative → “creative win use” → iterated into winners

2) Seasonal “CPM low → run offer learning”

• Hack:
  • When CPMs are low, launch an offer (e.g., an anniversary offer) to learn across the year.
• Plan example:
  • run anniversary offer around July when CPMs are “quite low” to identify top winners.

3) Native → listicle / congruent landing page testing

• Process:
  • Test native products directly on the product page at various sizes/quantities
  • Cluster winners by avatar + angle
  • Build congruent listicles
• Reverse approach:
  • “listicle → specialized ads for listicle” (especially for native speakers)

4) Scaling to new audiences without cannibalizing

• Horizontal scaling:
  • Keep a strong body + CTA
  • Vary the hook with prospect/customer stories (sourced from Reddit + post-purchase questionnaire)
• Use tools like Desia (mentioned) to reproduce many variants.
• Outcome:
  • improved segmentation → better ROAS due to recognition in the hook

5) “Offer breadth” > “profit per visitor” (pricing strategy shift)

• Old approach: optimize profit per visitor
• New recommended approach:
  • Test offers to expand TAM/reach
• If an offer works but doesn’t scale due to limited TAM/pricing barriers:
  • test broader bundles (e.g., 1+2+1, 1+2+3 structures)
  • adjust perceived value rather than only margins
• Caution:
  • avoid scaling when structural bottlenecks exist:
    • product quality
    • chargebacks
    • ops/CS capacity
    • PSP/banking/treasury readiness

6) CBO offer relaunch for validated coherence

• Recommended CBO test:
  • Use all winning creatives that are at least somewhat congruent
  • Budget: ~$1,000–$3,000 (context dependent)
  • Duration: 4–7 days
  • Test offers structurally (e.g., “1+1 offers” and variations like “1+2+1”)
• Goal:
  • avoid “half-hearted trying” that leads to false positives and slow learning

7) US transition playbook (shipping + AOV + competition)

Shipping guidance

• In the US, shipping is culturally expected as paid
• Test shipping prices around $7.99–$9.99 (example: $8.99 and a premium $14–$15 option)
• Impact:
  • CVR may improve or not move much, but margin can explode
  • therefore: test rather than assume

Competition & budget expectations

• US likely means:
  • higher CPMs
  • higher CAC
• Need higher AOV (not the same AOV as France)
• Still scale through volume and learning
• Consider wholesale/whisting partnerships to lower CPMs and restore profitability

Market sophistication

• US may require more precise messaging (more exact avatar/USP)
• Possibly less “French positioning”

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Talent sourcing, training, and team management (operations)

Recruitment strategy

• Team size: ~18–19 (previously larger; a “purge” reduced the team to a small high-skill core)
• Principles:
  • Don’t hire juniors on performance-based pricing (agency pricing matches merchant performance model)
• Volume recruiting:
  • mass scan profiles on Upwork and similar platforms
  • use video tests + questionnaires

Example hiring scale

• A recent recruit reviewed ~150–200 profiles
  • with video tests
  • plus 1 week training

Video editor test + trial system

Video test

• Provide:
  • reference video corpus
  • scripts
• Require edits from:
  • an assigned angle
  • a free angle
• Expect:
  • 2–3 videos of ~30 seconds each
• Rule-light to evaluate:
  • soft skills (resourcefulness, self-analysis), not only technical edit skill

Trial process

• Free trial first
• Then paid trial > 1 week
• Daily feedback calls by a team lead
  • focus on learning curve + soft skills, not only editing ability

Training & performance culture

• Weekly internal calls (2 weekly calls mentioned) for feedback loop + marketing-level uplift.
• “Navy Seals” philosophy:
  • small, elite team working for years
• Gamification:
  • internal tournaments with $1,000 cash prize
  • example tournament themes:
    • AI video competition with preset instructions
    • static team: “native ads” batch challenge (25 natives each) and collective critique

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Sources of competitive advantage: meta-creative psychology & monitoring

• Psychological manipulation example:
  • Cambridge Analytica reportedly used psychological profiles to show different emotional narratives to influence outcomes.
• Applied lesson:
  • frame creatives around audience psychographics using fear/hope/joy.

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Marketing/sales execution tidbits (growth hacks)

• Upwork job post insight:
  • changing job title + first 4 sentences to more ambitious language improves applicant quality dramatically
• Offer-focused marketing:
  • “triple discounts” and “warehouse” inventory concepts observed as trending patterns
• Seasonal/weekend promo:
  • use major-country events to align holiday offers
  • example: McDonald’s “cheeseburgers for 1 CHF” during a World Cup moment in Switzerland

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Presenters / sources

• K — Founder of Luma agency
• Nico — Co-host / contributor
• Matthéo — Co-host / question asker