Video summary

"한국인만 몰라서 못해요" 전세계 1등 부업으로 통장에 75억 모은 미친 92년생 재택 부업

Main summary

Key takeaways

Business

Business model & value proposition (what they’re “selling”)

  • A “Google side hustle” that combines:
    • Content + SEO
    • Approval-based ad monetization via Google AdSense
  • The model is then replicated across multiple platforms, including:
    • Naver, Daum
    • Instagram/Threads, Facebook/TikTok (mentioned)
    • Overseas ad networks (also mentioned)
  • Core claim:
    • Online content works like a scalable “online building.”
    • Once the workflow is systemized, expansion is fast, and the main “risk” is largely limited to labor/operational costs rather than inventory or physical-store overhead.

Company/operations snapshot (reported numbers)

  • Headcount
    • 20+ employees
    • 50–60 total including freelancers
  • Revenue/profit claims (from a company interviewer)
    • Sales: 5–6 billion KRW
    • Net profit: 3–4 billion KRW → described as very high net margin
  • Personal/AdSense earnings (self-stated)
    • Cumulative Google earnings: 4 billion KRW
    • Cumulative net profit: 3 billion KRW
    • AdSense monthly peak: ~$530,000/month
    • Single-post example: ~$8,000 (~1 million KRW)
    • Other example: ~3.7 million KRW/day (tied to a specific keyword/content case)
    • Additional revenue shown:
      • One account: ~$420,000–$430,000 (~700 million KRW)
      • Another: ~300 million KRW as “bonus/other overseas company” claim
  • Instagram
    • ~12,000 followers
    • Monetization claimed via card news ads
  • Cash/investing & asset claims (high level)
    • “Deposits” around 1 billion KRW
    • Stocks mentioned moving from 1.0B KRW to ~1.6B KRW
    • A broader “7 billion KRW” figure is referenced as total context (including deposits/installments/savings)

Frameworks & processes (playbooks they repeatedly use)

Monetization pipeline

  1. Improve blog
  2. Write a post
  3. Submit for approval
  4. Get approved
  5. Ads appear
  6. Revenue accrues

Content-to-revenue “keyword” framework

They prioritize:

  • High-intent keywords, such as “apply/sign up/how to buy”
  • An explicit audience target: people aged 40+
  • Action-driving terms, including “how to participate/apply,” etc.

Creative repurposing / multi-platform reuse

  • Convert one long-form idea into:
    • Blog post text
    • Card news format
    • Thread/Instagram/TikTok-type variations
    • (Threads explicitly mentioned)

“Structure beats random effort”

  • They emphasize structure over “just posting,” including:
    • SEO alignment
    • link/button placement
    • CTA design

Ad placement strategy

Claims include:

  • Google ads may be less obvious to readers
  • Naver can auto-insert ads depending on setup
  • Multi-source ad flow can be created from one site structure
    • Their claim: “4 places already” from one structure

Operations & automation governance

  • Large-scale publishing is possible, but needs monitoring for:
    • follower changes
    • post counts
    • revisions/reporting
    • suspension risk management
  • Recommendation order:
    • Start earning manually first
    • Add automation/AI generation later
  • Warning:
    • Automation is not truly “free” (AI cost exists)
    • Blind scaling can fail

Actionable “how-to” steps (concrete implementation)

Blog setup & templating

  • Use Blogspot first (recommended for beginners), then replicate content to:
    • Naver Blog
    • Daum
  • Theme/design approach:
    • add a table of contents
    • use click-friendly UI elements to keep visitors engaged
    • use prebuilt skin/theme files and “content blocks”

Approval process

  • Submit posts for AdSense approval (described like a “resume” requiring plausible presentation)
  • Claimed acceptance rate:
    • 47,000 learners and 100% passed (as stated)

Keyword → content → CTA mechanics

  • Example mechanics:
    • search drama/entertainment keywords (e.g., episode-related)
    • insert “AdSense appears” flow in the content
    • add shopping/participation keywords so users take next steps
  • Keyword strategy example:
    • voting/trot: target “vote/participate/how to vote” queries
    • create posts that align with those “next action” intents

Multi-platform publishing workflow

  • Route one output to multiple destinations:
    • Blogspot → Naver Blog → Daum
    • Then Instagram Threads → Instagram card news
  • Include direct links to vote/CTA so conversion can repeat after each repost

AI-assisted production (with constraints)

Claims AI can help with:

  • writing content faster
  • generating thumbnails
  • generating card news pages/photos

Constraints they stress:

  • humans should ensure readability and coherence
  • use prompts/templates to structure outputs

Key metrics & KPIs mentioned (targets, performance indicators)

Monetization KPIs

  • AdSense monthly peak: $530,000/month
  • Reported cumulative:
    • 4B KRW earned from Google
    • 3B KRW net profit
  • Single keyword/post performance examples:
    • ~$8,000 from a post
    • ~3.7M KRW/day from a specific “incident/keyword” post

Scale & throughput indicators

  • Early milestone:
    • “Over 100 posts”
    • month-by-month earnings example:
      • 3M KRW (month 1) → 5M KRW (month 2) → 7M KRW (month 3)
  • Instagram scale:
    • managing 40+ Instagram accounts
    • tracking 1,300 posts published on Instagram (as part of their system output)
  • High-volume claim:
    • “Can publish even 1,000 posts” (but they note success isn’t guaranteed)

Risk/suspension KPIs

  • Suspensions are described as common and costly
  • “Avoid suspensions” is framed as an operational control objective

Risks, constraints, and leadership/operator lessons

Platform risk & moderation differences

  • Claim: Korean platforms (Naver/Daum) can be harsher and may cut off payments
  • Claim: Google is more stable and continues supporting performance
  • Their operational lesson:
    • design around suspension risk
    • don’t blame platforms—blame yourself first to improve

Automation risk

  • Scaling automation without manual learning increases failure/suspension likelihood
  • AI costs exist, so automation isn’t truly “free”

Environmental strategy / goal setting

  • Growth is limited by the founder’s vision/desire
  • Example goal progression:
    • initial target: net profit 10B KRW per year (explicit OKR-like goal)
    • belief: setting too-low goals leads to “sufficient but not maximal growth”
    • therefore, set “dream” targets higher to grow capacity

Concrete examples / case studies used

  • Perilla leaf kimchi (tied to “Dain of Life” show)
    • Content mirrors what viewers watched
    • Users search for where to buy → blog includes purchase keywords/details
    • Earnings example claimed:
      • 3.7M KRW/day from that post
  • Apartment calculator / retirement form-style site mock
    • Demonstrates how informational tools + ad placement can drive engagement and clicks
  • Voting/trot
    • “Vote” keyword + participation instructions
    • Monetization via related search and ad surfaces
  • Keyword → content automation demo
    • Demonstrates:
      • keyword selection
      • title generation
      • AI post creation
      • routing uploads to multiple platforms
      • directing readers to a CTA link to create a “revenue flow”

Overall “growth strategy” in plain terms

  • Build a repeatable content + SEO + approval workflow.
  • Systemize conversion paths using:
    • high-intent keywords
    • embedded CTA links
    • template-based designs to increase engagement
  • Replicate across platforms to diversify traffic and ad revenue.
  • Scale carefully with operational monitoring and suspension avoidance.
  • Use a founder-level environment + ambition approach to sustain growth and reinvest in capability/tools.

Presenters / sources

  • Presenter/subject: Kim Ji-soo (born 1992)
    • Described as running the “Google side-hustle system”
    • Video also references a “CEO” collaborator

Original video