The World Customs Organization (WCO) Council Sessions focused on the recovery, transformation, and resilience of global trade in the post-pandemic era. Several resolutions were adopted, covering e-commerce, passenger flow management, cross-border vaccine transportation, and gender equality. The WCO is actively adapting to address challenges and embrace opportunities, aiming to build a more efficient, secure, and sustainable global trading system.
This paper explores a buy-the-dip strategy for Amazon (AMZN) stock based on OrderFlow intelligence analysis, evaluating its long-term investment value. The strategy emphasizes buying in batches at key support levels, setting reasonable stop-loss and profit targets, and holding a portion of the position long-term to capture greater upside potential. Investors should carefully evaluate based on their individual circumstances. The analysis aims to provide insights into potential entry points and risk management for AMZN, leveraging OrderFlow data to identify favorable buying opportunities.
GameStop innovatively leveraged its extensive store network to drive online growth through a store fulfillment strategy. This approach expanded online product selection, reduced reverse logistics costs, and improved customer satisfaction. This case provides valuable insights for traditional retailers transitioning in the e-commerce era, demonstrating that physical stores are not enemies of e-commerce but can be powerful allies for online business. By utilizing existing infrastructure, GameStop optimized its omnichannel approach and enhanced the overall customer experience.
Keyword strategy is crucial for launching new products on Amazon. This article advises sellers to break free from the initial keyword bottleneck by experimenting with product targeting. Instead of competing for high-traffic, expensive keywords, focus on long-tail keywords. Don't be overly concerned with initial ACOS; consider long-term goals. Leverage automatic campaigns to discover traffic and manual campaigns for precise targeting. By flexibly using various methods and continuously optimizing based on data, sellers can achieve successful new product promotion.
This paper addresses the problem of high ASIN traffic share and low keyword ad exposure and conversion rates in Amazon Advertising. From a data analyst's perspective, it delves into the reasons, including discrepancies between keyword and product page exposure, and the impact of category characteristics. A data-driven keyword advertising optimization strategy is proposed, encompassing bid optimization, ad placement optimization, listing optimization, and time-of-day optimization. This aims to help sellers improve advertising effectiveness, achieve precise traffic acquisition, and boost conversions.
This paper addresses the difficulty in increasing product card traffic for TikTok Shops. It provides an in-depth analysis and corresponding solutions from three dimensions: initial store strategy, store experience score, and product title optimization. The paper emphasizes the strategic shift from sales activation to search optimization, raising the experience score above 4.6, and leveraging the e-commerce compass to optimize product titles. These strategies aim to help merchants break through traffic bottlenecks and improve overall performance on the TikTok Shop platform.
This article delves into how to rapidly scale up low-priced, blue ocean standard products in cross-border e-commerce using the SKAG strategy. By precisely targeting core keywords, expanding traffic channels, and optimizing through data analysis, this strategy provides sellers with a replicable methodology for achieving explosive order growth, helping them stand out in the competition. It focuses on the practical application of SKAG in identifying and capitalizing on untapped market segments within the competitive landscape of cross-border e-commerce.
Amazon advertising optimization requires a flexible strategy based on product characteristics and operational stage. Refined keyword management, optimized ad structure, and coordinated on-site and off-site promotion are crucial for improving traffic and conversion rates for low-priced ASINs. Continuous testing, data analysis, and strategy iteration are essential to ensure consistent order volume. Focus on optimizing bids, targeting relevant keywords, and improving product listings to maximize ROI on low-priced items. Regularly monitor performance metrics and adjust campaigns accordingly.
ByteDance's Ocean Engine released a benchmark case study collection for the home furnishing industry's search ads. By analyzing successful cases from home improvement platforms and interior design companies, it reveals the advantages of a combined strategy: "Smart Bidding Solutions + Blue Ocean Keywords + Smart Image & Text + Effective Search Investment." This strategy effectively lowers the operational barrier, precisely reaches high-intent users, and meets diverse display needs. Ultimately, it achieves rapid scaling, traffic dominance, and controllable costs for advertisers in the home furnishing sector.
The collaboration between Amazon and TikTok signifies a major shift in e-commerce traffic patterns. Sellers need to pay attention to changes in platform traffic structure, refine inventory management, and expand competitive channels to off-site social media. Upgrading marketing models, adopting an omnichannel strategy, enhancing short video content output, and collaborating with influencers to build brand influence are crucial strategies. This partnership demands a proactive approach to adapt to the evolving landscape of online retail and leverage the combined power of e-commerce and social media.
