Video summary

Ce Système Print des $$$ pour les Agences OFM (étude de cas)

Main summary

Key takeaways

Business

Business case headline + result

  • Case study: An OF/“FM” agency generated $3,059 in 21 days using a Latina model with zero prior experience.
  • Core claim: The result came from a repeatable 4-step system (called 4S) implemented in a strict order.

The “4-step system” / 4S framework (execution playbook)

1) Organization (must be done before signing the model)

Set up 3 organization processes before the model starts:

  • Monitoring process: Track market/content references in a structured way (e.g., a Google Sheet tracker of candidate accounts + traits).
  • Content creation process: Centralize content requests and delivery in one place
    • Recommendation: a Telegram channel
    • Alternatives: Discord/WhatsApp (must be low-friction and centralized)
  • Content publishing process: Use a planning tracker so the model produces on time and the agency publishes on time.

Principle: “Don’t sign first, organize later” (don’t put the cart before the horse).

Tooling examples:

  • Save inspiration into an inspiration board (example: Chrome extension “Safe to Notion” to feed content into Notion).

2) Onboarding of the model (implemented immediately after signing)

Timelines:

  • Onboarding should take ~7 days (especially when buying from a marketplace) to validate collaboration quickly and avoid delays/scams.

What onboarding achieves:

  • Quickly gather content inputs for:
    • Top of funnel (TOF)
    • Bottom of funnel (BOF)
    • “Hifan” (implied higher-intent/private space)

Collaboration validation:

  • If access codes/credentials are withheld for days, escalate to a “middle man”.

3) Launch the model / content & funnel execution (“Your Life” + A/B testing)

“Your Life” method (iterative TOF content validation)

  • Framework: Test → Analyze → Validate → Iterate
  • Target: 15 pieces of content over 15 days (TOF testing)

Testing variables:

  • Hooks
  • Angles
  • Captions (captions adjusted for the model’s language; e.g., the Latina model doesn’t speak French)

Engagement tactics (algorithmic):

  • Use secondary accounts to comment and create early interaction (especially comments).

Data-driven validation rule (TOF):

  • Use subscriber conversion ratio:
    • Views should be ~10x subscriber count
    • Conversion: 2–3% of views → subscribers
  • If views are high but subscribers are low:
    • The account may be too hardcore/sexualized for the intended audience (the “Gerard” persona)

Timeline flexibility:

  • If needed, extend TOF testing to 3–4 weeks until conversion metrics are validated.

A/B testing for calls-to-action (CTAs)

  • Separate CTAs from “link in bio.”
  • CTA examples:
    • Instagram Stories vs pinned items on Twitter vs TikTok Stories linking back to IG

A/B testing rules:

  • Test one element at a time (e.g., wording, offer, image vs video, schedule, design).
  • Don’t claim which works without A/B comparisons.

CTA optimization threshold:

  • Keep A/B testing welcome/CTA until open rate hits ~20% (for welcome messages).

4) Convert fans into customers (BOF/DM automation + SOPs)

Funnel logic

  • Scroller → Subscriber → Fan → Prospect → Customer

BOF conversion requires a strong “show window” (profile/OF page):

  • Consistency between TOF content style and BOF visuals/bio
  • Example offer structure:
    • 30-day free trial → $10 subscription
    • Test variations like a DM heart-to-receive-free-video CTA
  • Feed sizing: ~40–50 images on the feed
  • Content explicitness guidance:
    • More explicit than TOF, but less explicit than PPV, so users still take the next purchasing step

Customer conversion operations

Start conversion with:

  1. A/B test welcome message
  2. Then document sexting flows
  3. Then introduce an AI bot after sufficient data exists

AI bot rollout (only after documentation + validation)

Bot deployment conditions:

  • Do not launch the bot immediately after signing.
  • Wait about ~1 month of chatting to gather enough performance data.

Required documentation inputs to configure the bot:

  • Validated welcome message
  • Sexting analysis of discussions that led to sales
  • Personality/profile understanding (what message style sells)

Operation method:

  • Observe “discussions” where sales occurred vs didn’t
  • Extract conversation patterns (“what he said / how you answered”)
  • Write patterns into SOPs (standard operating procedures)

Human + automation staffing pattern

Early phase:

  • Founder/manager chats first (can’t do full 24h)
  • Goal is “24/7 coverage” using time blocks:
    • Example: 7pm–1am as human coverage; rest handled by bot

Hybrid approach:

  • Bot can draft messages; human takes over when needed
  • Eventually, chatters may alternate, or bot provides 24/7 with human escalation

Key KPIs & targets mentioned

  • TOF testing set: 15 posts in 15 days
  • Views vs subscribers ratio: views ≈ 10x subscriber count
  • TOF conversion: 2–3% of views → subscribers
  • Welcome message optimization: open rate target ~20% (A/B test until one variant hits 20%)
  • Timing:
    • Onboarding within ~7 days
    • Bot integration after ~1 month of data
  • BOF feed setup: 40–50 images
  • Offer/payment base structure: 30-day free trial → $10 subscription

Concrete actionable recommendations (what to do next)

  • Implement organization before signing:
    • monitoring tracker (Google Sheet)
    • one centralized communication channel (Telegram recommended)
    • content publishing planning tracker
  • Use TOF validation before scaling:
    • follow “Your Life” (test 15/15)
    • use 2–3% and 10x views/subscribers checks instead of guessing
  • A/B test CTAs with strict discipline:
    • test one variable at a time (photo vs video, wording, offer)
    • don’t reuse the same CTA without measurement
  • Document DM sales patterns before automation:
    • mine successful discussions
    • create SOPs
    • only then deploy the AI bot
  • Hire/allocate coverage with bot-assisted 24/7:
    • time-block human chat in the first month
    • bot handles off-hours after documentation

Broad mention of 4S categories (systems vs processes)

  • 4S method (systems):
    • Organizational system
    • Acquisition system
    • Conversion system
    • Optimization system
  • Systems are executed via repeatable processes (e.g., monitoring/content creation/publishing).

Presenters / sources

  • Presenter/author: Vadim
  • Workshop materials / public channel mention: Honey Buildov (referenced as hosting a public Telegram channel where a Telegram setup tutorial exists)
  • Case study/thanks: Kilian (credited for joining the Boot Camp and executing the 4-pillar method successfully)
  • Model: “Latina model” (name not provided in subtitles)

Original video