Video summary
"전세계가 다 하는데 한국인만 몰라요" 65세 엄마도 2,000달러 벌어요 외국인만 꿀 빠는 부업으로 100억 모은 가족
Main summary
Key takeaways
Business model (what they claim to do)
- A “Google/Naver side hustle” where income is generated from ads automatically served on approved blogs/pages.
- They position it as an “online media company run by one person,” enabled by:
- AI-assisted content drafting
- Platform ad monetization programs (Google/AdSense + Naver AdPost)
- Keyword + traffic stacking across multiple platforms
Claimed strategy / playbook (process they repeatedly describe)
1) Market choice
- Only works at high earnings if you target a large market (explicitly argued vs smaller markets).
2) Platform-first monetization pipeline
- Start with approval on Naver (framed as easier for beginners), then expand/replicate content across other properties.
3) Approval-first system
- Content is written so the blog looks “presentable” to pass approval (they liken it to business registration).
- Use a template/AI “Approval Secretary” to generate approval posts.
4) AI + repurposing
- Copy/paste structured drafts.
- AI generates not only text but also thumbnails quickly.
5) Automation
- Schedule uploads/posts so work continues while the person sleeps.
6) Cross-posting to avoid dependence on one platform
- They claim earnings multiply by writing the “same post” on Naver and Google/other platforms.
Frameworks / “systems” mentioned
3-step money mechanism (core GTM loop)
- Write approval post → get approval
- Keep writing → ads automatically populate
- Revenue deposited on a fixed monthly schedule (claimed: 21st for Google)
Portfolio scaling (online landlord analogy)
- Create multiple blogs/websites (they mention 100+) to increase exposure and revenue streams.
Keyword selection model
- Money keywords for older demographics (40s+, elderly-related) and trending TV/movie-driven keywords.
- Example keyword buckets:
- “How to” (applications, voting method)
- Life utility (electricity bill, home-related)
- Health/cost info (e.g., health checkup costs)
- Product/payment intent (prices, ordering, demands for action)
Traffic-to-monetization routing
- Threads/social posts act as feeders; monetization happens via Coupang and blogs (link strategy).
Concrete examples / case studies cited
“First blog keyword” example
- They cite a first money-making keyword like “voting with Mist,” where posting led to ~$200 in overnight earnings.
Perilla leaf kimchi post
- One post reportedly drove orders so fast they couldn’t sleep; later explained as:
- AI/Google-ad insertion (e.g., Trip.com-style ads referenced)
- Matching “daily-life” and high-intent buying context
Freelancer team structure
- They claim they used freelancers but staff size did not increase, while revenue became “tens of times higher,” implying scalable content/automation rather than linear labor.
Key metrics & KPIs (numbers explicitly mentioned)
Personal financial / traction claims
-
Net worth / assets
- “Net worth of 10 billion KRW” (stated as ~10b in assets after expenses; “next month” when money comes in).
- Bank cash shown: ~7.2 billion KRW, later referenced as ~7.3 billion KRW.
-
Monthly interest (if cash held)
- 200–300 million KRW per year (interest estimate mentioned).
-
Revenue / profit examples
- June sales: 2.5 billion KRW (company “highest sales figures” claimed).
- Net profit margin: ~60–70%.
-
Side hustle earnings (early scaling example)
- “~$20,000 per day” and “closed at $530,000” (translated to about 775 million KRW/month).
- They claim fixed expenses at that time: ~12,000 KRW (point: very low fixed cost).
- Later claim: 700 million KRW/month in one period.
-
Cost / startup
- Startup cost described as ~150,000 KRW computer.
Operational targets / timelines
-
Approvals (claimed process for Naver AdPost)
- Apply within 30 days after creating the blog
- Approval usually in 1–5 days
- After approval, ads automatically inserted in prior posts too
-
Publishing cadence
- Schedule posts at 4-hour intervals
- Roughly 15–20 approval posts to get approved
-
Monthly payout schedule
- Google deposit timing claimed: 21st of every month
Actionable recommendations they give (what viewers are told to do)
- Start by creating a Naver blog and get AdPost approval (framed as beginner-friendly).
- Use their template/AI “Approval Secretary”:
- Generate approval posts for a chosen niche (e.g., summer, electricity bills, saving methods).
- Generate thumbnails quickly via AI; insert or rely on approval even without images.
- Produce 15–20 approval posts, scheduling them in batches using a “Schedule/Subscribe/Print” workflow.
- After approval, keep writing—ads will be monetized automatically and revenue will be deposited monthly.
- Scale by creating up to 3 Naver IDs/accounts (they claim Naver allows each person to operate three accounts).
- Replicate across platforms (write once, copy/paste to multiple places) to reach ad inventory across ecosystems.
- Use “thread-style” community posts as top-of-funnel, but monetize via:
- Coupang and blogs (include blog links in posts).
Leadership / management themes
- Emphasize skill-building before risking capital:
- “Top priority is improving skills before making such an investment.”
- Build systems (templates, manuals, onboarding) so others can execute quickly:
- manuals/templates for freelancers and step-by-step beginner execution.
- Organizational tactic:
- low fixed costs + automation + AI tooling to reduce labor scaling constraints.
Presenter credibility / verification claims
- They claim to show bank cash directly and offer to re-display after next month’s inflow.
- They emphasize cashflow stability and contrast it with “stock market fall” losses by others who went all-in.
High-level “investing / market” (minimal detail)
- Mentions stock market impact mainly to argue about cashflow stability and avoiding overexposure.
- No detailed investment thesis or market strategy is developed.
Sources / presenters mentioned
- Kim Ji-soo — CEO of “Alpha Man” (primary speaker)
- PD / Producer — interviewer (not named)
- Jeon Young-soon — mother; states she earns ~500,000 KRW/month by writing blog posts
- Grandmother / grandfather — referred to (not personally named in subtitles)
- A few “team members/freelancers” — referenced generically (no names provided)