Clase Gratis - Productos Ganadores Online Arbitrage

Presenters / Sources (mentioned)

• Luis Saldivia (coach at Supersellers Academy)
• JD / Juan David (mentioned as the person whose content led Luis to Supersellers)
• Host / interviewer (unnamed in subtitles; runs the Supersellers live and introduces Luis)

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Business-focused Summary (Online Arbitrage “Productos Ganadores”)

The session explains an operating-system approach for Amazon online arbitrage:

• Build documented SOPs (processes)
• Use product filtering (“red flags”) to protect seller accounts
• Scale product discovery with data (databases) and discount stacking (gift cards + coupons) rather than chasing “quick ROI” from day one

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Frameworks / Playbooks / Process Patterns

1) SOP + Process Documentation (“Operating Procedures” System)

Treat every action as a process (e.g., searching products, opening accounts, sending emails, handling complaints).

Document each SOP with:

• Step-by-step instructions
• Written documentation + photos

Purpose:

• Standardize operations
• Enable delegation to VAs
• Allow cloning/replication of strategies across people

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2) Product Discovery Process: “Eliminate First” Mindset

Shift from:

• “I need to find a product”

to:

• “I will eliminate products quickly.”

Faster elimination leads to faster identification of products that pass your filters.

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3) Security / Account Risk Filter (“Red Flag” Checklist) — First SOP to Build

Luis recommends building:

1. A first SOP to identify products that could put the account at risk
2. A second SOP to track which brands are allowed (“unlocked”) to sell

Red flags to eliminate immediately (examples)

• Poorly branded / misbranded products

  • Brand name mismatch vs the real brand
  • Misspellings or punctuation variations (e.g., “Milwie” type variations)

• IP complaint risk

  • Signaled by charts showing a drastic seller drop
    • Example: from ~20 sellers to zero abruptly

• Generic listings

  • Generic = removed immediately (account risk)

• Private label / “not invited” listings

  • Avoid due to high likelihood of IP issues

• Language diversion risk

  • Products made for the US but listed with Spanish/French/etc. text in the US marketplace
  • Amazon treats these as “diversion products” (Amazon targets them)

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4) “Create a Database” as the Operational Brain

Databases act as an operational asset so you don’t “street hunt” forever.

Core database structure (columns mentioned)

• Amazon URL
• Inventory source (store name + store URL)
• Product identifiers: ASIN, UPC, title, images, category
• Flags/notes such as: profitable vs not profitable, ROI, margin, internal notes

Operational process

• During product search, append data daily/weekly (don’t delete everything unprofitable “today”)
• Later, when you obtain a coupon/gift card, filter the database to see which stored items become profitable

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5) Coupon Stacking Playbook (Turn Weak Offers into Profitable Ones)

Core thesis:

• “A good product isn’t found through arbitrage—it’s created via arbitrage through accumulation of discounts.”

Coupon stack components

• Gift card discount Example: buy a $100 gift card for $90 → 10% savings

• Store coupons / promotions (additional % off)

At checkout:

• store coupon discount + gift card discount → improved effective margin

Important rule:

• Don’t assume profits exist without discounts—use stacking tools to create margin.

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Concrete Examples & Actionable Tactics

A) Identify “Unlocked Brands” (First-Day Tactical Routine)

• Start with Amazon product pages that have many sellers
• Open a product and check the seller’s brand list
• For each seller-brand entry:
  • If it shows “Sell”/approval, record the brand name in a spreadsheet/database
  • If it shows “Approval” / cannot sell, skip

Run as a time-boxed routine:

• 1 hour/day for 1–2 weeks (for brand unlock discovery)

Luis’s emphasis:

• Early on, don’t focus on unlocking Nike/brands/categories first
• Instead, build your brand sell-list, then only search where you already have access

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B) Avoid “Wrong Products” (Brand mismatch + generic + counterfeit-like clues)

On product pages, check:

• The brand displayed on packaging vs the brand field on Amazon
  • If they differ → treat as misbranded and avoid

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C) Tools for Store / Coupon Discovery (SellGazer + Carb examples)

• Carb

  • Finds retailers and checks which have gift cards and coupon discounts

• SellGazer

  • Receives store promotions in one inbox-like interface
  • Filters by:
    • country (US)
    • keyword thresholds (e.g., “50% off”, flash sale terms)
    • store name (e.g., Target) to surface relevant promos

Workflow example

• Use SellGazer/Carb to find a store offering ~40% off
• Combine it with a known 10% gift card
• That creates an effective ~50% off scenario
• Then open the store-linked products and evaluate sellability

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D) Gift Card Optimization Rules (Cash Efficiency)

• Never buy a gift card for more than you need
  • If the purchase total is $100, target $90–$95
• Check store policy on how many gift cards can be applied
  • Some allow 2, others 4, others 5 (Luis advises verifying via Google)
• If $100 exact isn’t available:
  • Stack smaller gift cards to get as close to the target total as possible without overbuying idle balance

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E) Cashbacks vs Store Rewards (Margin Accounting)

• Cashbacks (Top Cashback, BeWallet/Beugle, Capital One Shopping, etc.)

  • Do not include in product margin
  • Paid 2–3 months later
  • Risk of delayed/withheld payout
  • Treat as additional later margin

• Store rewards (e.g., “calls money” / Walgreens-like rewards)

  • If usable for future purchases, they can reduce effective margin

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Key Metrics / KPIs Mentioned (limited specificity)

No formal CAC/LTV/revenue targets were provided, but explicit operational targets and thresholds were discussed.

Time-box targets

• Build initial brand-unlock database:
  • 1 hour/day for 1–2 weeks
• First structured SOP creation (Luis’s experience):
  • Took about 3 weeks

Decision thresholds / risk signals

• IP complaint signal example:
  • Seller count drops abruptly (e.g., ~20 sellers to zero)

Coupon stacking examples (percentage-driven)

• Gift card discount example:
  • 10%
• Store promo examples:
  • 20% / 40% / 50% / 70%
• Rule-of-thumb approach:
  • Effective discount ≈ store promo % + gift card %
  • Example: 40% + 10% = 50%

Database scale metric (example volume)

• Mentioned database size:
  • ~4,286 products (and “around 5,000” in another mention)

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Product / Operations Management Recommendations (What to Do Next)

1. Create and document SOPs first, especially the “red flag” security checklist.
2. Eliminate products quickly using the red-flag filter (avoid refunds, listing risk, account risk).
3. Build your “unlocked brand” database before chasing category/brand unlocks.
4. Adopt coupon stacking as the margin engine:
   • Choose stores intentionally where you have gift cards + active coupons.
5. Build and maintain a large database of candidates even if not profitable today—future discounts can flip them into profitable buys.
6. Use automation/intensive learning tools:
   • Claim includes automation of SOP steps, security checklist automation, database updates, and easier filtering.

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Intensive Course (High-level Business Offering)

• Program name/theme: “online arbitrage intensive” / Supersellers Academy
• Dates: August 21–22
• Format/structure claims:
  • 2-day live teaching + later practical window + Q&A
  • Month of WhatsApp support

What’s promised (operations automation focus)

• Automate processes (faster searching, faster database building)
• A 4-phase product analysis system including a security checklist first
• Automated database that can be filtered and updated
• Tools including Keepa/Kipa producer references and academy SOPs
• Coupon stacking professionalization + product testing frameworks
• Building replenishment products for stability (described as monthly recurring purchases)

Pricing / capacity

• Stated normal cost: $1,000 to $15,500 (per subtitles)
• Intro offer: $50 with only 20 spots
  • Limited capacity for personal attention

Live times (Miami)

• Friday: 6 pm–9 pm
• Saturday: 10 am–3/4 pm
• Includes a humorous remark that times might not be exact

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Names of Presenters/Sources (repeat)

• Luis Saldivia (Supersellers Academy coach; primary speaker)
• JD / Juan David (Supersellers Academy figure referenced as the creator Luis followed)
• Host/interviewer (not named in subtitles)