[Updated] Amazon product selection and advertising operations practical tutorial



📚Video Course
🕒Last updated: 10/27/2026
👥Entrepreneurs / Self-media creators / Cross-border e-commerce sellers / Side-hustlers

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Course Introduction

2026 Amazon video tutorial, learn the course provider's business model, as well as the latest 2026 product selection and operations experience. The course includes 26 advanced advertising episodes updated to 39 and continuing to update, 2025 market analysis and product selection updated to 88 episodes, 2025 Amazon advertising updated to 51 episodes, 2025 operations planning and data principles updated to 34 episodes, 2026 market analysis and product selection updated to 87 episodes, 2026 advertising practice updated to 30 episodes and completed, and Q&A updated to 19 episodes. Core modules cover advanced advertising, practical product selection, and the underlying logic of data, suitable for beginners to systematically build an operations knowledge framework, and also suitable for advanced operators to break through advertising and product selection bottlenecks.

The course puts product selection and advertising together because these two things inherently constrain each other in Amazon operations. Product selection determines whether a product has market space, while advertising determines whether the product can be seen and converted; learning only one of them easily gets you stuck in practice. The product selection section covers market size assessment, competitive relationship analysis, product differentiation techniques, AI product selection applications, seasonal product layout, and profit model calculation, while also providing pitfall-avoidance guides such as infringement detection, FDA certification, and supply chain compliance. The advertising section unfolds layer by layer from keyword weight, match types, advertising keyword selection, automatic advertising, ASIN targeting, and video ads to super bargain-hunting strategies, with reusable methods such as ad placement bidding, negative keyword techniques, and data diagnosis templates.

The data underlying logic module explains the Listing weight algorithm, review safety mechanisms, and private domain traffic building, and uses practical cases such as zombie merge, mirror reviews, and cross-site operations to help understand the boundaries of platform rules. The course also includes a large amount of Q&A and operations planning content, clearly explaining common misunderstandings, risk points, and actual operating processes. After learning, you can form a complete operations chain from market analysis, product selection judgment, and listing building to advertising delivery and data review, reducing the trial-and-error cost caused by selecting products by feeling and blindly running ads. It is suitable for sellers who hope to operate stably over the long term in Amazon boutique and refined models to study repeatedly.

[2025 Amazon Advertising System Section]
  • 1.Content introduction and courseware material access
  • 2.Efficient communication with service providers, designers, and factory resources
  • 3.Commonly used data analysis tools
  • 4.Keyword weight and cosmo algorithm
  • 5.Keyword match types and infringement detection
  • 6.Advertising keyword selection and writing listing
  • 7.AI analysis of product attribute words
  • 8.Automatic advertising, super bargain-hunting, and video ads
  • 9.ASIN targeting and multi-variant advertising
  • 10.New product period traffic support and coupon price logic
  • 11.Operations calculator and key points of product profitability
  • 12.Composition of product competitiveness and market size assessment
  • 13.Advertising misunderstandings, thinking, and bidding strategies
  • 14.New advertising bid budgets and bidding adjustments
  • 15.Troubleshooting impressions, clicks, click-through rate, and conversion rate
  • 16.Category ranking, ad placement bidding, and bidding optimization
  • 17.Keyword expansion, negative keywords, and advertising data analysis
  • 18.Search page organic traffic, related traffic, and AC recommended words
  • 19.Ranking push, flash sales, and diagnostic advertising data templates
  • 20.Content creator program
[2025 Market Analysis and Product Selection Section]
  • 21.Product selection introduction and material access
  • 22.Commonly used data analysis tools and operations calculator
  • 23.Key points of product profitability and composition of competitiveness
  • 24.Market size assessment and the law of sales decline
  • 25.Reasons for short-term bestsellers and monopoly misunderstandings
  • 26.Competition patterns among similar products
  • 27.Product selection process and category analysis
  • 28.Quickly improve product awareness and pricing
  • 29.Product analysis process and analysis of similar competing products
  • 30.Summary of competitiveness feasibility and finding product inspiration
  • 31.Analysis of trending elements, themes and other product types
  • 32.Product selection planning tables and infringement risk avoidance
  • 33.Product review series: novelty socks, heating kettles, dog toys, car trays, etc.
  • 34.Quickly find highly competitive products and product testing ideas
  • 35.Keyword weight, Cosmo algorithm and ad keyword matching
  • 36.Keyword infringement detection, ad keyword selection and listing writing
  • 37.FBM product testing, FBA shipping planning and store setup
  • 38.Store association, brand protection against hijacking and product listing
  • 39.UPC exemption, splitting and merging variations and compliance certificates
  • 40.FBM shopping cart, shipping materials, order processing and refunds
  • 41.Operations plan planning and online product selection practice
  • 42.Why you cannot find products and seasonal products
  • 43.Product selection with the refined listing plus premium product model
  • 44.Finding inspiration and product selection analysis practice
  • 45.Seasonal product selection practice
  • 46.Product portfolio differentiation and competitiveness improvement
  • 47.What is a product with distinctive features
[2025 Operations Planning and Data Principles Section]
  • 48.Overview of operations planning and data principles
  • 49.Which questions do not need to be asked
  • 50.Listing ownership and selling rights
  • 51.Brand, hijacking and the nature of infringement
  • 52.Stores come and go, listings endure
  • 53.Adding category nodes and the principle of data storage
  • 54.Cross-site keyword insertion and loopholes in ownership of the same brand name
  • 55.Brand video ad loopholes and preventing malicious brand modification
  • 56.Merging duplicate products and the principle of review sharing
  • 57.Passing 5461 without authorization and cross-site zombie merging
  • 58.Mirror reviews and cross-store seed account nurturing
  • 59.Safe review techniques and store nurturing techniques
  • 60.Private domain traffic, postcard direct mail and after-sales codes
  • 61.Address-matching email and email outreach marketing
  • 62.Several methods for handling negative reviews
  • 63.Misunderstandings in operations and setting operations goals
  • 64.Review Sources and Risk Avoidance
  • 65.Premium Model Operation Plan
  • 66.Hit Product Model Operation Plan
  • 67.Service Provider Information and Operation Planning Summary
[2026 Market Analysis and Product Selection Section]
  • 68.Course Introduction, Materials, and Q&A Guidelines
  • 69.GPT Usage Issues and Service Provider Factory Resources
  • 70.Common Tools and the Credibility of SellerSprite and H10 Data
  • 71.Understanding Front-End Basic Data and the Product Selection Analysis Process
  • 72.Assessing Market Size
  • 73.Misconceptions About Monopoly
  • 74.Best-Seller Cause Analysis and Practical Case Studies
  • 75.Product Competition Relationships Under Keywords
  • 76.Operational Difficulty Analysis: Review Range and Advertising Efficiency
  • 77.Product and Market Analysis in Practice
  • 78.Operations calculator and key points of product profitability
  • 79.Composition of Product Competitiveness
  • 80.Product Selection Approach and Vertical Category Selection
  • 81.Using Word Frequency Instead of AI and Category Analysis for Product Selection
  • 82.How to Select Products When You Have No Inspiration
  • 83.Profit Assessment, Pricing, and Advertising Evaluation
  • 84.Product Sales Assessment and Product Selection Tips Summary
  • 85.Product Planning: Variations and Pairings
  • 86.Market Entry Timing and Future Trend Product Selection
  • 87.Seasonal or Holiday Product Selection
  • 88.Finding Direction and the Full Product Selection Workflow
  • 89.Product Selection Analysis Template and Similar Product Traffic Allocation
  • 90.High-Conversion Titles, Five-Point Descriptions, and Product Images
  • 91.Differences Between GPT and Google AI and AI Photo Editing
  • 92.AI Image Creation Practice and Experience Summary
  • 93.High-Conversion Image Creation Demo and the Importance of Main Images
  • 94.Designer Resources, AI Video, and Marketing Concepts
  • 95.High-Conversion Review Content and Product Positioning
  • 96.Product Testing Instructions
  • 97.FBA Stocking and Replenishment Assessment
  • 98.How Many Products to List at Once for a Premium Store
  • 99.The Business Logic of Premium Plus Refined Listing
  • 100.The Business Logic of Hit Products
  • 101.Infringement and Risk Avoidance, Consequences of Infringement, and Copyright Issue Addendum
  • 102.Listing Ownership, Brand Hijacking Infringement, and Anti-Hijacking
  • 103.Store Association, Network Basics, and Store Setup Process
  • 104.Product listing demo and UPC exemption
  • 105.Split and merge variations demo and compliance certificates
  • 106.FBM shopping cart, shipping materials, order processing and refunds
  • 107.FBA inventory reservation and inbound shipment
  • 108.Online product selection practical class and offline coaching
  • 109.Company operating logic of the refined listing model
  • 110.Latest attitude and understanding of product selection
[2026 Advertising Practical Guide]
  • 111.Advertising practical guide explanation
  • 112.Launching ads and reading data
  • 113.Bid control series: December 13 to 17
  • 114.Bid adjustment and data reading series: December 16 to 21
[2026 Advanced Advertising System Guide]
  • 115.Content introduction, materials, and question guidelines
  • 116.Service provider factory resources and common tools
  • 117.SellerSprite H10 data credibility and front-end basic data
  • 118.Operations calculator explanation
  • 119.Keyword weight and match types
  • 120.Keyword infringement detection
  • 121.Ad keyword preparation and precise keyword selection
  • 122.Broad keyword selection and selection without explicit keywords
  • 123.Rufus title, description, and backend search terms
  • 124.Multi-variation ads and bidding strategies
  • 125.Difference between high and low starting bids and strategy selection
  • 126.Ad launching practical
  • 127.Market size, product competitiveness, and reasons for new product hot sales
  • 128.Key points of product profitability and understanding of conversion rate
  • 129.Misunderstandings in ad operations
  • 130.New ads with no clicks and impression-click issues
  • 131.Reasons for low ad click-through rate and conversion rate
  • 132.Reasons for order decline and the role of category ranking
  • 133.Application of ad placement bid percentages
  • 134.Ad bid optimization approach
  • 135.Keyword expansion and optimizing ad coverage
  • 136.Ad negative keyword function and conceptual misunderstandings
  • 137.Ad data analysis, optimization, and summary
  • 138.Batch modification of ad bids
  • 139.Auto ad principles and application scenarios
  • 140.Super bargain ads
  • 141.Video ad application scenarios
  • 142.ASIN targeting ad principles and applications
  • 143.Content creator program
  • 144.Ranking push and breaking through traffic limits
  • 145.Review techniques and risks, review content safety
  • 146.Used-item following sales to avoid review risks
  • 147.Explanation of various flash sale conditions
  • 148.Conditions and effects of AC recommended keywords
  • 149.New product period and traffic support
  • 150.Reasons for percentage decrease in recommended offer
  • 151.Related traffic and coupon price logic
  • 152.Listing ownership and the infringing nature of brand following sales
  • 153.Merging duplicate products and handling negative reviews
  • 154.How to open a case in the backend and future compliant operations
  • 155.Latest understanding of advertising and operations
  • 156.Ad bidding affects conversion
  • 157.Out-of-stock and restocking issues
  • 158.Incremental market and growth advertising
  • 159.Keyword selection for growth advertising
[Q&A and operational difficulties section]
  • 160.Content introduction and which questions do not need to be asked
  • 161.Service providers, designers, factory resources and courseware materials
  • 162.Listing ownership and selling rights
  • 163.Commonly used data analysis tools
  • 164.Keyword weight and cosmo algorithm
  • 165.Brand, following sales, nature of infringement
  • 166.Stores come and go, listings endure
  • 167.Keyword match types and adding category nodes
  • 168.Amazon data storage principles
  • 169.Keyword infringement detection and product selection analysis process
  • 170.Evaluating market size and misunderstandings about monopoly
  • 171.Cross-site keyword insertion and loopholes in ownership of the same brand name
  • 172.Brand video ad loopholes and preventing malicious brand modification
  • 173.Merging duplicate products
  • 174.Principles of review sharing
  • 175.Principle of passing 5461 without authorization
  • 176.Principle of cross-site merging of zombie listings
  • 177.Principle of mirrored reviews
  • 178.Tax filing issues and cross-store seed nurturing
  • 179.Traffic support during the new product period
  • 180.Reasons for percentage decrease in recommended offer
  • 181.Coupon settings and price logic
  • 182.Operations calculator and key points of product profitability
  • 183.Composition of product competitiveness and market size sales evaluation
  • 184.Advertising misunderstandings, approach and preparation work
  • 185.Bidding and bidding strategies
  • 186.New ad bid budget and bidding adjustments
  • 187.Impression and click issues and ad click-through rate
  • 188.Troubleshooting reasons for low ad conversion rate
  • 189.Role of category ranking and reasons for decline
  • 190.Application of ad placement bid percentages
  • 191.Ad bid optimization approach
  • 192.Keyword expansion and optimizing ad coverage
  • 193.Ad negative keyword function and conceptual misunderstandings
  • 194.Ad data analysis and optimization
  • 195.Ad optimization summary
  • 196.Organic traffic and related traffic on search pages
  • 197.AC recommended keywords and ranking breakthroughs to overcome traffic limits
  • 198.Review techniques, risks, and various flash sale conditions
  • 199.How to open cases in the backend and ad data diagnostic templates
  • 200.Content Creator Program use cases
  • 201.Using word frequency instead of AI and super bargain ads
  • 202.Video ads and ASIN targeted ads
  • 203.Finding Direction and the Full Product Selection Workflow
  • 204.High-converting images and shifts in marketing philosophy
  • 205.High-Conversion Image Creation Demo and the Importance of Main Images
  • 206.Hands-on product selection and what operational difficulty means

[October 27, 2026] Updated content

🕒 Update time: October 27, 2026

New chapters added as follows:

  1. 2026 market analysis and product selection

📋 Update Highlights:

  • Trend analysis and opportunity review around the 2026 market environment
  • Explains product selection approaches, criteria, and common screening methods
  • This update adds content up to lesson 105 to help students adjust product selection direction based on market changes

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