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
Read More
Amazon Sellers Turn to Data Analytics for Product Success

Amazon Sellers Turn to Data Analytics for Product Success

This article offers a methodology for Amazon product selection, helping sellers precisely identify untapped viral products through competitor, search volume, sales, and profit analysis. It emphasizes the importance of data analysis to avoid blind product selection and achieve profitable growth. The methodology provides a structured approach to identify opportunities and make informed decisions, leading to increased sales and market share on Amazon.

01/05/2026 Logistics Industry Insights
Read More
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
Read More
Data Analysts Guide to Mar Del Plata Airport Operations

Data Analysts Guide to Mar Del Plata Airport Operations

This article, from the perspective of a data analyst, provides a detailed analysis of Mar del Plata International Airport's IATA code (MDQ) and related information, including its ICAO code, geographical location, and altitude. It explains how to utilize this data to optimize travel and explores the application value of airport data in areas such as route planning, marketing, and risk management. The analysis highlights the importance of readily available airport information for various stakeholders in the aviation industry.

01/08/2026 Airport Codes
Read More
Global Aviation Industry Pushes for Enhanced Safety Data Transparency

Global Aviation Industry Pushes for Enhanced Safety Data Transparency

This paper delves into the significance of Aviation Operational Data (AOD) and its applications in the modern aviation industry. It highlights the five key principles of AOD proposed by IATA: Informed Consent, Transparent Visibility, Autonomous Sharing, Convenient Accessibility, and Responsible Accountability. These principles aim to establish a clear, transparent, and fair framework for data management and utilization for airlines, OEMs, and the entire industry. The goal is to collaboratively build a safer, more efficient, and sustainable future for aviation.

01/08/2026 Logistics Industry Insights
Read More
MENA Customs Boost Data Analytics at WCO Doha Workshop

MENA Customs Boost Data Analytics at WCO Doha Workshop

The World Customs Organization held its first regional workshop on data analysis in Doha, Qatar. The aim was to enhance data analysis capabilities of customs administrations in the Middle East and North Africa (MENA) region and explore its applications in customs management. The workshop shared best practices and laid the groundwork for developing data analysis strategies in the MENA region. This initiative seeks to improve customs efficiency, promote trade security, and foster economic development by leveraging data-driven insights.

01/08/2026 Customs Knowledge
Read More
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
Read More
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
Read More
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
Read More
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
Read More