Guide to Authentic KOL Data for Effective Brand Campaigns

Guide to Authentic KOL Data for Effective Brand Campaigns

This paper delves into the strategies and techniques of Xiaohongshu KOL marketing. It focuses on how to effectively identify the true value of KOLs through data analysis, third-party platform evaluation, and content tone matching. The aim is to avoid potential pitfalls and achieve efficient brand seeding on the Xiaohongshu platform, ultimately enhancing marketing effectiveness. The study emphasizes leveraging data to optimize KOL selection and campaign performance for successful brand promotion.

01/06/2026 Logistics Industry Insights
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Ecommerce Firms Adopt Data Strategies to Reduce Google Reliance

Ecommerce Firms Adopt Data Strategies to Reduce Google Reliance

This paper delves into the reliance of cross-border e-commerce on the Google search engine, analyzing Google's crucial role in information acquisition, market expansion, and regulatory understanding. It also highlights the risks associated with over-reliance on Google. To mitigate these risks and enhance global competitiveness, the paper proposes a data-driven, diversified marketing strategy for cross-border e-commerce businesses. This strategy aims to reduce dependency and empower companies to navigate the global market more effectively.

01/06/2026 Logistics Industry Insights
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Amazon Sellers Optimize Product Selection Using Return Rate Data

Amazon Sellers Optimize Product Selection Using Return Rate Data

This article delves into the Amazon Product Selection Compass, emphasizing the importance of return rates as a key metric in product selection. Through case studies, it illustrates how to leverage this tool to gain insights into market demand and develop data-driven product selection strategies. It also highlights the tool's limitations, suggesting the integration of other tools and methods, and focusing on details such as supply chain and logistics to improve product selection success rates. This holistic approach aims to minimize risks and maximize profitability in Amazon product selection.

01/05/2026 Logistics Industry Insights
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Saudi Customs Adopts WCO Data System to Boost Efficiency

Saudi Customs Adopts WCO Data System to Boost Efficiency

Saudi Arabia, in collaboration with the World Customs Organization (WCO), aims to enhance customs efficiency and facilitate trade by building a data-driven performance evaluation system, supporting the Saudi Vision 2030. The WCO's Performance Measurement Mechanism (PMM) and workshops assist Saudi Customs in identifying areas for improvement and building a team of experts to promote knowledge sharing and international cooperation. This initiative leverages data to optimize customs processes and contribute to Saudi Arabia's ambitious economic diversification goals.

01/05/2026 Customs Knowledge
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Saudi Customs Adopts WCO Data Model to Boost Digitalization

Saudi Customs Adopts WCO Data Model to Boost Digitalization

The World Customs Organization (WCO) provides crucial support for the modernization of Saudi Customs, facilitating a more efficient and intelligent trade ecosystem through IT diagnostics and WCO Data Model workshops. Saudi Customs is actively pursuing digital transformation initiatives, including the "Fasah" Single Window, "Nebras" system upgrades, and NII equipment integration. The WCO Data Model will assist Saudi Customs in achieving seamless connectivity with international trading partners, streamlining processes and enhancing data exchange for improved trade facilitation and security.

01/05/2026 Customs Knowledge
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Amazon Sellers Adopt Data Tactics to Counter ASIN Dominance

Amazon Sellers Adopt Data Tactics to Counter ASIN Dominance

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.

01/04/2026 Logistics Encyclopedia
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Walmart Sellers Adopt Data Tools for Black Friday Prep

Walmart Sellers Adopt Data Tools for Black Friday Prep

JiaPlus ERP for Walmart platform launches new features to help sellers efficiently manage stores, optimize listings, monitor hijackers, and improve customer experience, thereby converting traffic into sales during Black Friday. The platform offers unified product/order management, listing quality optimization, 24-hour hijacker monitoring, and automatic price adjustments. These features comprehensively enhance operational efficiency and sales performance for Walmart sellers, allowing them to maximize their potential during the peak shopping season.

01/04/2026 Logistics Industry Insights
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Amazon Sellers Optimize Manual Keyword Ads with Data Strategies

Amazon Sellers Optimize Manual Keyword Ads with Data Strategies

This article delves into keyword selection strategies and match type optimization for Amazon manual keyword advertising. It emphasizes combining system recommendations with manual additions for keyword filtering and selecting appropriate match types based on different stages of the advertising campaign. The importance of data-driven decision-making is also highlighted. By analyzing advertising reports, continuous optimization of keywords and listings is crucial to maximize advertising effectiveness.

01/04/2026 Logistics Encyclopedia
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Ecommerce Brands Boost Sales with Facebook Ads Data Analysis

Ecommerce Brands Boost Sales with Facebook Ads Data Analysis

This article delves into the key factors influencing Facebook ad performance, including Cost Per Mille (CPM), Click-Through Rate (CTR), and Conversion Rate (CVR). It proposes specific optimization strategies for each element. Through data-driven insights and refined operations, cross-border e-commerce sellers can effectively improve the performance of their Facebook ad campaigns and achieve business growth. The analysis focuses on practical techniques and actionable recommendations for maximizing ROI and achieving sustainable results in the competitive landscape of online advertising.

12/31/2025 Logistics Industry Insights
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Study Proposes Data Model for Keyword Value Difficulty Analysis

Study Proposes Data Model for Keyword Value Difficulty Analysis

This paper constructs a data-driven keyword evaluation model, deeply analyzing the value and difficulty of keywords from eight dimensions, including competition difficulty, estimated click-through rate, search intent, and potential revenue. Through practical case studies, it demonstrates how to apply this model to cross-border e-commerce keyword selection, enhancing the accuracy and effectiveness of SEO strategies. The model helps identify high-potential keywords and optimize content for better search engine rankings and increased organic traffic, ultimately leading to improved business outcomes.

12/31/2025 Logistics Encyclopedia
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