Live Streamer Dong Yuhuis Lingerie Row Sparks IP and Platform Debate

Live Streamer Dong Yuhuis Lingerie Row Sparks IP and Platform Debate

The "underwear controversy" surrounding Dong Yuhui has sparked deep reflections on live streaming product selection, IP positioning, platform responsibility, and the social media ecosystem. The incident exposed shortcomings in the product selection process, highlighted the conflict between intellectual integrity and commercial value, and warned against the alienation of the social media environment. New Oriental should strengthen its corporate brand and achieve a win-win situation for both personal IP and the platform. The live streaming industry needs to be cautious in product selection, respect its hosts, and adhere to ethical bottom lines. Platforms should strengthen governance and create a healthy ecosystem.

AI Cuts Costs for Amazon Sellers Jihong Case Study

AI Cuts Costs for Amazon Sellers Jihong Case Study

This article analyzes the application of ChatGPT in Amazon product selection and advertising, using Jihong Co., Ltd. as an example. From the perspective of a data analyst, it assesses the potential impact of AI on operational roles. The conclusion is that ChatGPT is more suitable as an auxiliary tool, and human-machine collaboration will be the mainstream model for future Amazon operations. It highlights the importance of leveraging AI to enhance, not replace, human expertise in navigating the complexities of Amazon's marketplace and optimizing cross-border e-commerce strategies.

Ebay Sellers Guide Optimizing Product Categories for Success

Ebay Sellers Guide Optimizing Product Categories for Success

This article provides an in-depth analysis of eBay product categories, offering product selection advice and operational strategies. It covers four major categories: fashion, auto parts, home goods, and electronics, analyzing opportunities and challenges. The article proposes strategies for optimizing categorization, improving attributes, and optimizing keywords to help sellers enhance their store's competitiveness. It aims to guide sellers in making informed decisions about product selection and category management on the eBay platform, ultimately boosting sales and visibility.

Ebay Sellers Adopt Datadriven Strategies to Boost Sales

Ebay Sellers Adopt Datadriven Strategies to Boost Sales

This article analyzes eBay product selection optimization strategies and operating rules from a data analyst's perspective. It emphasizes data-driven product selection, exploring potential products through category, competitor analysis, and differentiation strategies. It also clarifies eBay's operational red lines, including accurate product categorization, location authenticity, prohibiting external links, and compliant shipping. Continuous monitoring of market trends and user behavior, along with refined operations, are crucial for eBay success. This approach helps sellers identify profitable niches and avoid policy violations.

Amazon Sellers Adopt Highvalue Strategies to Boost Growth

Amazon Sellers Adopt Highvalue Strategies to Boost Growth

This article shares the author's shift in Amazon product selection strategy, moving from small, low-priced items to high-value, larger products. It emphasizes the higher profit margins and lower competitive pressure associated with high-value products, as well as the importance of a 'product-thinking' mindset in product selection. The author encourages sellers to conduct thorough market research and innovative design to create products with differentiated competitive advantages, ultimately achieving growth in their Amazon business.

Ebay Sellers Gain Edge with Smart Product and Strategy Tips

Ebay Sellers Gain Edge with Smart Product and Strategy Tips

This article delves into the product selection strategies and site-specific characteristics of the eBay auction model. It details the influence of user profiles and consumption habits on auction performance across the US, Germany, Australia, the UK, and niche language sites. Furthermore, it offers various product selection recommendations, including non-standard items, surplus inventory, potential bestsellers, high-priced clearance items, and new product testing. The aim is to assist sellers in achieving success within the eBay auction marketplace.

Amazon Enhances Seller Tools with AI in Opportunity Explorer

Amazon Enhances Seller Tools with AI in Opportunity Explorer

Amazon Opportunity Explorer's AI capabilities have been upgraded, significantly improving product selection efficiency through six-dimensional market analysis and AI competitor analysis. Sellers can leverage AI to understand market trends and develop a "basic + differentiated" product strategy. However, it's crucial to be aware of the risks of data dependency and homogenization. Combining user research and continuous learning is essential to stand out in the competition. This allows for a more nuanced and successful approach to product selection on Amazon.

Amazon Expands into Funeral Religious Supplies Market

Amazon Expands into Funeral Religious Supplies Market

This article delves into the opportunities and challenges within the niche markets of funeral and ritual supplies on Amazon. By analyzing market size, target customers, product selection, marketing strategies, and potential risks, it offers cross-border e-commerce practitioners alternative product selection ideas and practical advice. The aim is to inspire readers to think outside the box and discover more untapped blue ocean markets. This exploration provides valuable insights for those seeking unconventional product niches on the platform.

Amazon Launches insights Tool to Analyze Customer Feedback for Sellers

Amazon Launches insights Tool to Analyze Customer Feedback for Sellers

Amazon introduces a new Insights tool, allowing sellers to directly create surveys to gather customer feedback, understand purchasing behavior, product perception, and opinions. By precisely targeting the desired audience, sellers can optimize product strategies and increase sales. The pricing model is not yet fully disclosed, but requires a minimum of 100 responses. Effectively utilizing this tool can help sellers stand out in the competitive Amazon marketplace and gain valuable insights to improve their offerings and customer satisfaction.

Amazon Sellers Use ABA Data to Identify Bestselling Products

Amazon Sellers Use ABA Data to Identify Bestselling Products

Amazon ABA data reveals high demand for apparel, home & kitchen, and electronics, coupled with price sensitivity and declining review rates. Product selection examples include shoehorns, portable washing machines, and car seat organizers. These categories present opportunities, but require careful consideration of pricing and strategies to encourage customer reviews. Understanding these trends is crucial for successful product selection and marketing on Amazon.