Video summary

Small Channels: Do THIS and the Algorithm Will LOVE You!

Main summary

Key takeaways

Business

Business-focused summary (YouTube growth strategy = execution playbook)

Core goal

  • Diagnose why YouTube isn’t promoting your videos, then systematically generate better-performing titles, formats, and topics using competitor and “winning video” data.

Step 1 — Diagnose promotion vs. audience resonance (use analytics to avoid guesswork)

Framework / process

  • In YouTube Studio → Content → pick a low-performing video.
  • Go to Analytics → Reach → Impressions
    • Impressions = how often YouTube/the algorithm tried to promote the video.
  • Check Retention (use the 10-second mark in the example)
    • If early retention is weak, the problem is not just distribution—it’s viewer appeal.

Key decision rule shown

  • Example case: ~29 views over 2+ years, but ~400 impressions/promotions
    • Conclusion: the algorithm promoted it, but viewers didn’t stick / didn’t find it compelling.

Actionable recommendation

  • Treat it as “tough love”: your content must beat the alternative options viewers can choose from (competing titles/thumbnails + stronger hooks).

Step 2 — Build a “competitor universe” (catalog channels + videos)

Process

  • Find “umbrella terms” related to your niche (e.g., “make money”).
  • Search the term, open many relevant results.
  • Subscribe to many competitor channels (used to reach their recommendations).
  • Expand by opening Recommended videos and adding more channels.
  • Result: build a tracked list of hundreds of channels in the niche.

Example / scale

  • Creator claim: over 300 channels tracked in the YouTube growth niche.
  • Another example: ~150 channels tracked in “business/makemoney online,” with videos loaded into a tool list.

Step 3 — Tooling-backed competitor analysis to extract winning topics

Tool / workflow

  • Use Veo.co to track competitor channels and aggregate their video performance.
  • Create a list: “[your niche] channels”.
  • Add channels via tracking links.
  • Apply filters:

    • Multiplier = 2.5
    • Duration ≥ ~5 minutes
    • Date range (focus on current relevance)
      • Example settings:
        • Fast-changing niches: last 180–365 days
        • More evergreen: example uses ~3 years (back to ~Aug 2024)
  • Sort by views (most → least).

Filtering out irrelevant content

  • Add negative keywords (e.g., exclude “skin care”).
  • Manually add exclusions to remove off-topic videos.

Topic extraction method

  • Identify repeated “intrinsic ideas” behind the highest-performing videos.
  • Example extracted topics:
    • Passive income
    • Interviewing / meeting rich people (e.g., “asking millionaires…”)
    • Investing
    • Students/teenagers making money (e.g., “as a student/teen/19-year-old starts…”)

Verification step

  • Search YouTube for the topic keyword (e.g., “passive”).
  • Look at outlier score / breakout indicators.
    • Example logic: if many “passive income” videos show positive/high outlier scores, the topic is validated.

Step 4 — Find what video formats are working right now (not just topics)

Process

  • In Veo/Research tab, adjust search filters to surface currently successful formats.
  • Example settings shown:
    • Precision: balanced
    • Views threshold: 600,000
    • Duration: around 5 minutes
    • Advanced: view sub ratio = 5
      • Interpretation: views relative to subscriber size (e.g., 10k subs → ~50k views = 5×)

Format-finding logic

  • Identify repeatable structures (swap the “variable”).
    • Example format: “What’s the hardest part of X?”
  • Save promising formats in a folder (e.g., “/make money video formats”).

Format expansion tactics

  • Use related-term queries for your niche.
    • Example: “how I learned …” to find structured formats.
  • Generate many permutations by swapping variables:
    • “How I learned investing by myself in a lazy way…”
    • “5 years of [topic], everything I’ve learned”
    • “I met [number] billionaires, here are X things I learned”

Backup method

  • For any format you find: “view similar videos” and save more variants.

Step 5 — Mix-and-match top topics + top formats, then produce videos

Execution recipe

  • Sort saved materials by the most successful indicators (e.g., most views).
  • Start with topics most common across the best competitor videos.
  • Combine with the best current formats.
  • Produce videos by fusing:
    • Winning topic (from competitor analysis)
    • Winning format (from current format research)
  • Swap title/story framing while keeping the structure.

Concrete case example (fusion strategy → algorithm distribution)

Claimed results

  • Baseline early views from notifications: ~240 views
  • After applying the process: ~5 million views and ~16,000 subscribers

Audience source breakdown (reach/features)

  • ~90% of views from algorithm promotion
  • ~5% from YouTube search
  • Remainder from suggested/other sources

Monetization side-claim

  • “Helped monetize not just this channel, but a bunch of different channels.”
  • One-video channels also mentioned.

Illustrated idea

  • Trending topic: MrBeast
  • Winning format borrowed from another niche: “X being a meme for 4 minutes straight
  • Fusion: “MrBeast-meme-style” concept → large lift in algorithm recommendation.

Key metrics / KPI thresholds explicitly mentioned

  • Impressions (algorithm promotion frequency)
  • Retention: % leaving by 10 seconds (early hook strength indicator)
  • Competitor research thresholds:
    • Views ≥ 600,000
    • Duration ≈ 5 minutes
    • View sub ratio = 5
    • Multiplier = 2.5
    • Date range
      • Fast niche: last 180–365 days
      • Evergreen approach example: back ~3 years (to ~Aug 2024)

Playbooks / frameworks summarized

  • Algorithm diagnostic playbook

    • Check Impressions vs Views
    • If impressions are high but views/retention are low → audience appeal issue
    • Use early retention (≤10s) as a hard signal
  • Competitor-universe build

    • Use umbrella terms
    • Expand via recommended videos
    • Track hundreds of channels
  • Winning-topic extraction

    • Filter by recentness, duration, and relevance
    • Use outlier scores to validate topic breakout potential
    • Cluster into a short list of repeat topics (e.g., passive income, investing, rich interviews, students)
  • Winning-format extraction

    • Filter by views threshold + view/sub ratio (5) + duration
    • Identify “variable-swap” formats:
      • “hardest part of X”
      • “how I learned X”
      • “5 years of X…”
  • Fusion production strategy

    • Combine top topics × current formats
    • Generate multiple title permutations by swapping variables
    • Publish consistently; “one hit can change everything”

Presenters / sources

  • Marcus (speaker; mentioned as “Marcus” in subtitles)
  • Veo.co / Velio (tool referenced; includes a promo claim: “launch” for $1/month and an incentive for a viral video swipe file)

Original video