Amazon Product Hunting Course

About The Course

Amazon Product Hunting Course: Discover Winning Products to Sell

Module 1: Introduction to Product Hunting

• What is product hunting and why it matters

• Overview of Amazon business models: FBA, FBM, Dropshipping, Private Label

• What makes a “winning” product

• The risk of poor product selection

Module 2: Amazon Marketplace Fundamentals

• How Amazon’s algorithm influences product visibility

• Product lifecycle and demand trends

• Seasonal vs. evergreen products

• Understanding BSR (Best Seller Rank) and its role in validation

Module 3: Product Criteria for Success

• Ideal price range and profit margins

• Weight and dimensions (for lower FBA fees)

• Low competition, high demand formula

• Avoiding restricted and gated categories

• Red flags: high return rates, fragile items, brand-dominated categories

Module 4: Product Research Tools

• Helium 10

• Jungle Scout

• Viral Launch

• Keepa and CamelCamelCamel

• Chrome extensions and plugins for quick scanning

• Free vs. paid tools: what to invest in

Module 5: Product Hunting Strategies

• Manual hunting on Amazon (Best Sellers, New Releases, Movers & Shakers)

• Spy on competitors and reverse ASIN lookup

• Alibaba and AliExpress product discovery

• Using Facebook Ads and TikTok trends for early product signals

• Wholesale and retail arbitrage insights

Module 6: Data-Driven Product Validation

• Estimating monthly sales volume

• Checking profit using FBA calculator

• Analyzing review count and rating distribution

• Product differentiation opportunities

• Profitability worksheet walkthrough

Module 7: Niche Selection and Micro-Niches

• Benefits of niche targeting

• Finding underserved markets

• Using keyword data to identify trends

• Exploring long-tail keyword demand

Module 8: Testing and Launch Planning

• How to test products with minimal risk

• MVP approach (Minimum Viable Product)

• Sourcing small batches vs. samples

• Setting up landing pages and early feedback loops

Module 9: Common Mistakes in Product Hunting

• Copying saturated products without differentiation

• Misreading market signals

• Relying only on one data tool

• Underestimating shipping and Amazon fees

Module 10: Product Research Case Studies

• Live product research and evaluation

• Dissecting real-world Amazon successes

• Analyzing failed product launches

• Class project: find and pitch a product idea with data to support it

Bonus Module (Optional): AI and Automation in Product Hunting

• Using ChatGPT for brainstorming product ideas

• Automating product tracking and alert systems

• Using Google Trends and AI-powered tools to identify early trends