Video summary
He Probado 24 Negocios Online: Estos 3 Te Harán Rico
Main summary
Key takeaways
Business content summary (tierlist of online money-making models)
Tier placement (as stated by the presenter)
-
S / Top
- Dropshipping (e-commerce)
- Remote work
- Freelancing (presented as “directly in A” in the flow, but “one of the best” overall—see notes below)
-
A
- Info product specialist (roles that support infoproducts without being the public face)
- Freelancer (explicitly placed in A)
- Amazon FBA
- AI agency / “Ila agency” (trend stated for 2025)
-
B
- SMMA (social media marketing agency) + drop servicing
- Mentoring / coaching
- Info products
- Personal branding
- YouTube automation
- Affiliate marketing
- Print on demand
- Buying & selling
- UGC creator
- SaaS / micro-SaaS
- Trading (allowed but with caution)
- (Several items are framed as “B” even if the speaker later says “works” with caveats.)
-
C
- Digital products (PDFs, planners, templates)
- Amazon KDP
-
D / Worst
- Survey sites
- Apps that pay you to play games
- Investing (explicitly framed as “not a business”)
- Betting groups / tipsters
- Trading bots (mostly described as high-risk / likely to fail)
Note: The video is presented as an opinion-based ranking (“tierlist format”). No formal scoring rubric is provided.
Frameworks / playbooks / operational patterns mentioned
Dropshipping operating model (distribution-first)
-
Core process
- Create a store (typically Shopify)
- Connect Shopify → supplier (supplier holds catalog; no inventory held by seller)
- List products in the store
- When a customer buys, the supplier fulfills directly to the end customer
-
Profit mechanism
- Sell price − supplier cost = gross margin
-
Key operational advantages claimed
- Low upfront investment
- Product testing without buying large quantities
- Scalable (can run beyond personal working hours)
- Anonymity possible
-
Risks implied
- Traditional e-commerce risk of unsold inventory is reduced, but dropshipping still depends on supplier reliability (not deeply detailed)
SMMA / agency model
-
Service lines
- Paid traffic: Google Ads, TikTok Ads, Meta ads and related tools
- Content: creation and editing
- Management: community management / social media management / Instagram management
-
Revenue model
- Retainer (monthly fee)
- Sometimes % of revenue generated by ads
-
Scalable variation
- Drop servicing: you sell; subcontract delivery to specialists; keep the spread
Infoproduct logic (and sustainability idea)
-
Packaging evolution of coaching
- Move from selling “hours” → productized knowledge (course, course + coaching sessions)
- Alternative: school/community paid monthly with recorded content + live sessions
-
Stated sustainability principle
- Sell good products → compounding relevance
- Sell bad products → you fade out of the market
-
Demand generation
- Lead gen via organic traffic (content that ranks) or paid ads
Personal branding flywheel
-
Flow
- Content → attention → trust → monetization system
-
Trust over sheer audience size
- Example math:
- 100 trusting members
- Community fee $100/month
- Claimed revenue: 100 × $100 = $10,000/month
- Example math:
YouTube automation “production system”
-
Team roles required (or automated equivalents)
- Scriptwriter
- Content creator/editor
- Voice-over artist
- Title + thumbnail specialists
- Publication strategy owner (what/when/how often; when not to publish)
-
Monetization
- AdSense
- Affiliate marketing
-
Main downside called out
- Often marketed as “automatic,” which creates unrealistic expectations and trust problems without a real creator identity
Affiliate marketing operating loop
-
Process
- Join affiliate program (e.g., Amazon Associates / Hotmart)
- Share referral link
- If user buys via link → commission
-
Common execution
- Build blog/SEO to rank, then monetize with affiliate links in articles
-
Role as complement
- Used to support other models (e.g., alongside an infoproduct)
Print-on-demand fulfillment flows
-
Approach variants
- Brand-based POD (example: clothing brands)
- Design-based POD (tees/mugs/posters)
- Fully customized POD (customer uploads pet image; supplier creates art and ships)
-
Tools/paths
- Store via Shopify / own site or marketplace Etsy
- Design created by you or AI
- Supplier prints/fulfills to customer
Freelancer vs remote work distinction (risk and stability)
-
Freelancer
- Sell your service to multiple clients; revenue fluctuates
- Limited by capacity unless you build a team
-
Remote job
- Stability: salary + benefits + consistent paycheck
- Less entrepreneurial uncertainty (tax/company setup complexity shifted away)
Amazon FBA process
-
Process
- Source products in China
- Send to Amazon warehouses
- Amazon ships to end customers
-
Positioning
- Leverages Amazon’s marketplace traffic
- Tradeoff: competition
AI agency (“Ila agency” in text)
-
Service example
- Build AI solutions for business ops (e.g., converting invoices from physical → digital)
- Sell setup + recurring monthly maintenance
-
Go-to-market
- Identify company pain points → propose AI automation → sell + maintain
SaaS / micro-SaaS commercialization
-
Core approach
- Identify a problem/need → build software → sell with monthly subscription
-
Constraint
- Requires programming knowledge or funding to hire developers
Key metrics & KPI mentions (explicit)
-
Dropshipping example margin
- Sell: $20
- Supplier cost: $10
- Implied gross margin: $10 per unit (50% of sale price)
-
YouTube/automation example metrics
- Not specified as KPIs like CTR/CAC, but one concrete trial is stated:
- 16 hours → $4.75 (used to argue “apps paying to play games” are D)
- Not specified as KPIs like CTR/CAC, but one concrete trial is stated:
-
Community monetization example (personal branding)
- $100/month community price
- 100 members → $10,000/month
-
Amazon FBA / courses
- No quantified KPIs, but mentions “a lot of people make money” and references updated course (year: 2026).
-
Trading return examples (high level)
- Example claim: 100% annual return (framed as “crazy”)—not a target, but used to illustrate math and feasibility
- S&P 500 average return stated: ~10% annually
- Warren Buffett example average return: ~20% annually
Concrete examples / case studies cited
-
E-commerce dropshipping
- Mentions “Alfonso” with a store earning enough to live solely off it (no numbers provided).
- Mentions an AI tool that generates a dropshipping Shopify store in minutes (link in description; also a free course >27 hours).
-
Personal branding
- Uses the $100/month community example to show trust-driven monetization.
-
Amazon-related
- References “Matías” (works for Amazon KDP) who “does quite well” (no metrics).
- Mentions multiple people successfully doing Amazon FBA; also claims they published an updated 2026 course.
-
Buying & selling
- References a previously recorded video with a seller who:
- buys at good prices,
- cleans/fixes products,
- improves photos,
- increases selling price via value-add.
- References a previously recorded video with a seller who:
-
AI agency trend
- Mentions cases of people with such agencies doing well (no numeric proof given).
-
UGC
- Mentions brands paying for product usage videos (no brand names or results).
Actionable recommendations (implied/explicit)
-
If choosing dropshipping
- Use Shopify + supplier integration
- Start with low investment to test products
- Build around scalability and supplier fulfillment reliability
-
If choosing SMMA
- Start with traffic services and add content/management
- Use retainer model; consider subcontracting (drop servicing) to scale
-
If choosing infoproducts
- Ensure product quality because sales affect long-term market relevance
- Build a lead-gen system (SEO/content or paid)
-
If choosing personal branding
- Focus on trust through quality content and transparency
- Target a monetizable community (example math provided)
-
If choosing affiliate marketing
- Use SEO/blog strategy and affiliate links to complement other products/services
-
If avoiding low-value/time-wasting models
- Surveys and game-reward apps are framed as low hourly ROI and time sinks
- Betting groups/tipsters and trading bots are framed as risky and not building long-term assets
-
Overall “entrepreneurship mindset”
- The speaker warns against seeking “everything automated” at the start; implies you must work to build real foundations.
Notes on business execution priorities (what the speaker values)
-
Long-term compounding assets
- Personal branding, SEO/content, infoproducts, remote career stability
-
Scalability
- Systems that can run beyond selling hours (dropshipping, info products, SaaS)
-
Trust / reputation
- Needed for monetization (especially personal brand + markets that require credibility)
-
Avoid “extractive” models
- Surveys, gambling groups, and game-reward apps described as not creating value and often low ROI
Presenters / sources
-
Presenter: Adrián Saxoí (also mentioned at the end: “I’m Adrián Saxoí”)
-
Named third parties mentioned (as examples/sources):
- David Turu (Spanish, associated with “launches” strategy for infoproducts)
- Warren Buffett (used for investing return example)
- Alfonso (example of a person with a dropshipping store)
- Matías (associated with Amazon KDP; mentioned as doing well)
- YouTube / AdSense (platform sources for monetization, not a person)