Video summary

블로그로 순수익 1억씩 버는 사람들은 어떤 키워드를 쓰며 돈을 벌까?

Main summary

Key takeaways

Business

Business-focused summary (blog/affiliate content strategy)

The speaker argues that writing “good keyword posts” alone doesn’t make money—revenue depends on distribution channels, monetization links, and traffic acquisition. They provide multiple keyword + channel + affiliate/ads monetization tactics, using Korean platform examples (especially Naver, along with ad/affiliate networks).

Core idea / operating principle

  • Keyword ≠ profit. Profit comes from:
    • Where the post is exposed (e.g., Naver blog/Shopping integrations, Q&A, threads)
    • How traffic is converted (affiliate links, coupon/discount flows, ad networks)
    • Timing around seasonal demand and product launches

Keyword & channel playbook (framework-style)

Playbook: “Keyword-to-Monetization Pipeline”

  1. Pick a high-intent keyword Often product-specific or “setup/how-to” related.

  2. Choose the monetization pathway

    • Naver Shopping Connect / Naver Brand Connect (commission per purchase)
    • Coupang Partners (affiliate commission; can convert even without top ranking)
    • Ad networks (e.g., AdSense / AdPost mentioned as approval-based revenue)
  3. Expose content where users already search/compare
    • Naver Shopping integrations
    • Q&A sites and community threads
    • Autocomplete / long-tail search terms

Concrete example keywords + monetization paths (as described)

  • “Galaxy Fold 8”

    • Use it as the keyword focus, but monetize via:
      • Naver Shopping Connect (commission cited as 60,000–70,000 KRW per purchase)
      • Naver Brand Connect
      • Coupang Partners
    • Evidence claim: sellers can make ~50M–100M KRW/month by targeting Good Day (seasonal sale) and promoting in advance.
  • Mobile “data transfer/setup” keywords (Galaxy + Apple)

    • The speaker claims many buyers search for device-specific setup phrases, even if they don’t dominate annual search volume.
    • Strategy: write posts around “how to transfer data / set up features for Galaxy Fold,” and similarly for Apple transfer topics.
  • “Cheachii T” (proxy term in subtitles) / free-feature keyword cluster

    • Build posts around “free” and “bypass limits” style queries.
    • Claimed case: someone earned over 5M KRW using keywords related to making prompt payments free, tied to a debt payment due date.
    • Suggested keyword buckets:
      • free features
      • paid discount keywords
      • cancellation / refund related queries
  • “Youth Future Savings” + “Transfer” alternative

    • If the main keyword is hard, use transfer/switch-related long-tail keywords instead, leveraging review-driven searches for principal/deposit terms.
    • Mentions a person (“Bedroom Youth”) who used AdPost and early keyword selection to build earnings.
  • Netflix / discount / cancellation / refund keyword families

    • Don’t treat it as a single keyword—use sub-queries around:
      • Netflix discounts
      • cancellations
      • refunds
    • Rationale: people search operational questions, and blogs “unlock” what to press and when money gets deposited.

Metrics & KPIs mentioned (earnings benchmarks)

Presented as examples/benchmarks, not formal targets.

  • Monthly/ongoing revenue claims:
    • ~120,000 USD/month (speaker claim; likely illustrative)
    • ~180 million KRW (via “Naver” in one year mentioned)
    • Combined figure with “Tara attached”: ~250 million (unit implied KRW)
  • Person-level claims:
    • AdPost earnings > 100 million KRW in 2024
    • ~180 million KRW through Naver in 2025
  • Other benchmarks:
    • 50M–100M KRW/month by targeting seasonal sales with affiliate links
    • Over 5M KRW from “free”/limit-bypass prompt payment method
    • Commission per purchase: 60,000–70,000 KRW via Naver Shopping Connect
  • Traffic/scale examples:
    • A referenced blog: ~10,000–30,000 visitors (still coming in)
    • Another example: a blog with ~4,000 posts continuing to generate income (“for eternity” / evergreen effect implied)

Actionable recommendations (operational)

  • Integrate affiliate monetization early
    • The speaker claims it’s possible to monetize even before approvals on some systems.
  • Benchmark competitors directly on Naver
    • Use visible blog structures/posts to infer which keyword combinations and content formats work.
  • Write “how-to operational guides,” not just commentary
    • Example categories: data transfer setup, viewing instructions, deposit timing (“when does money get deposited?”).
  • Use autocomplete / long-tail query variants
    • Target high-intent questions suggested by “annual search term autocomplete.”
  • Follow trends intentionally
    • Emphasizes operating while following trends, rather than staying static.
  • Choose a platform mix strategically
    • If earnings rely too heavily on Naver (less controllable), diversify toward WordPress for a higher ceiling.
  • Build an “online asset portfolio” for job-risk resilience
    • Framing: consistent online income can provide psychological stability if employment ends.

Organizational / learning approach (course as an execution engine)

  • Course advantage:
    • “Infinite update” (ongoing improvements to keep up with platform/market changes)
  • Timeline mentioned:
    • A student started in October; principal buyback took time (implies patience and longer cycles)

High-level investing/markets note

The speaker contrasts online business stability vs stock volatility, arguing that you can’t control market fluctuations and should build alternative income sources. (No detailed market strategy provided.)


Presenters / sources mentioned

  • Alpha Nam (speaker; “operator of the challenge class . AI era.”)
  • Manager Kim (referenced as a source/topic persona)
  • Multiple anonymous/identified online creators/blog owners (e.g., “Bedroom Youth”; exact names not fully clear in subtitles)
  • Platform/monetization ecosystems:
    • Naver ecosystem (Naver Shopping Connect, Naver Brand Connect)
    • Coupang Partners
    • AdSense, AdPost
    • Netflix (referenced for keyword-family approaches)

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