Video summary

I Ranked Every Online Business Model So You Don't Have To

Main summary

Key takeaways

Business

A YouTuber who says he’s earned north of $40M ranks 24 online business models by practicality, longevity, skill development, and AI risk — recommending service-based models (consulting, agencies, high-ticket sales) as the top entry points for building durable, scalable businesses.

Tiered model rankings (models → final tier + key rationale)

S tier

  • Consulting / Coaching — S Teaches broad business skills, high margins, longevity; can be productized later. Recommended as the best first business.

  • Marketing agency / Service-based retainers — S Produces many entrepreneurs; teaches client delivery, billing/retainers and recurring revenue.

  • High-ticket sales / Closers — S Fastest route to high income and core sales skills; durable and scalable (closers on his team approaching seven-figure earnings).

  • High-ticket info products — S Scalable productized expertise after serving clients; high margins.

A tier

  • Affiliate marketing — A Low capital required; teaches real marketing and page-building skills; scalable if you learn marketing.

  • Branded e‑commerce — A Higher barrier to start but teaches product and brand skills; durable with real product-market fit.

  • Low-ticket communities (membership) — A Recurring revenue with network effects; hard to build but high learning value (retention, churn management).

  • Freelancing — A Similar to a small agency; teaches client work, pricing, and durable skills.

B tier

  • Amazon FBA — B Can make significant money but constrained by Amazon’s algorithm; teaches ops/fulfillment skills.

  • Dropshipping — B Teaches marketing but weaker than branded e‑commerce.

  • Content creation (YouTube/IG) — B → C (leaning C) Possible but monetization is hard; views don’t necessarily map to high revenue.

  • OnlyFans management — B Profitable niche with transferable skills; moral/brand considerations apply.

  • Low-ticket info products — B Scalable but lower margins and credibility than high-ticket offerings.

  • Crypto trading — B Market-cycle dependent; can teach metrics/decision skills, but high risk and capital needs.

C tier

  • AI automation agency — C Currently monetizable and teaches skills, but vulnerable to commoditization via prompt-engineered tools.

  • Appointment setting — C Teaches sales and people skills; some roles may be replaced by AI, though human setters still add value.

  • Faceless YouTube — C Same monetization limits as other content creation; requires viral scale to perform well.

F tier

  • SaaS (software as a service) — F Not recommended as a first business: very high barrier, product complexity and go-to-market challenges.

  • Print-on-demand — F Very low barrier, low skill development, low margins — not a durable business.

  • Short-form clipping / Short-form flipping — F Low barrier, easily automated, and limited upside.

  • Web design — F Increasingly automated by AI/tools; weak long-term value.

  • Day trading — F Essentially gambling for most people; high capital/skill requirement, not a business-building route.

  • Predictive market gambling / Betting — F Gambling with legal/ethical risks and no reliable skill-value correlation.

  • NFTs — F Dismissed as low value/durability (no detailed rationale provided).

Frameworks, processes & playbooks

  • Start with a service model (consulting or agency) to learn sales, marketing, and operations; get paying customers first, then productize or scale.
  • Productize a service: serve clients, refine a repeatable process, then convert it into a high-ticket offer or info product.
  • Use retainer models for agencies to build recurring revenue and predictable cash flow.
  • Community monetization: low-ticket monthly pricing examples (e.g., $97/month or $17/month); focus on activation, retention, churn reduction, and delivering measurable results.
  • Sales playbook: learn high-ticket closing as a core business skill; hire closers only after proving you can close.
  • AI risk mitigation: prioritize businesses that require human judgment, sales, or deep domain expertise — expect many automation tasks to become commoditized.
  • Go-to-market (GTM) implication: founders should acquire the first clients personally (founder-led sales) before scaling or building a product.

Key metrics, KPIs, targets & timelines

  • Self-reported cumulative revenue: north of $40 million online.
  • Audience → revenue example: “a couple million views per month” produced about £10,000/month (illustrates low CPM/monetization vs. audience size).
  • Promotional timeline: claim of reaching $10K/month within 6 weeks (for his consulting/agency training).
  • Community size referenced: ~50,000 people in his group.
  • Sales outcomes: closers on his team nearing seven-figure earnings (qualitative KPI).
  • Suggested KPIs to track per model: revenue, margins, customer acquisition cost (CAC — e.g., via Facebook ads), churn/retention for communities, and ability to acquire first clients.

Actionable recommendations (concrete examples & tactics)

  • Don’t start with SaaS or print-on-demand as your first business; begin with service-based work to learn sales, marketing, and ops.
  • For info products: run consulting/service work first, refine repeatable outcomes, then productize into high-ticket courses or programs.
  • For agencies: focus on getting the first client, build retainers, establish billing systems, and deliver measurable results.
  • Use affiliate marketing to learn landing pages, conversion tactics, and marketing with minimal capital.
  • Be cautious when starting an AI automation agency — position on hard-to-replicate expertise because many automation tasks will become promptable.
  • Community operators should prioritize activation and retention mechanics (deliver results, measure churn) before scaling acquisition.
  • Avoid models with low barriers-to-entry and high AI-displacement risk (print-on-demand, short-form clipping, web design).

Risks & macro observations

  • AI and prompt engineering are major disrupters: many execution tasks (web design, content clipping, some automation) risk commoditization.
  • Some models are cycle-dependent (e.g., crypto trading) and unreliable as steady businesses.
  • Barrier-to-entry and skill development are key predictors of durability: higher barriers and real skill acquisition usually correlate with lower competition and better long-term profit.

Promotional / program notes

  • The presenter offers a free six-week program to build a consulting or marketing agency, claiming it can help reach $10K/month quickly. The program is advertised as free with no credit card required; a link is provided in the video description.

Presenter / source

  • Video presenter (unnamed in subtitles) — self-described YouTuber/entrepreneur who claims more than $40M in online earnings and promotes the free six-week consulting/agency program.

Rate this summary

Your feedback will help improve summaries.

Improve this summary

Reprocess with a stronger model when the summary feels incomplete or inaccurate.

Pro

Translate summary in another language

Pro

Ask questions to this video

Chat for follow-up questions, clarifications, and source-backed answers.

Coming soon

Share this summary

Original video