Amazon Launches Data Analytics Tools for Brand Sellers

Amazon Launches Data Analytics Tools for Brand Sellers

Amazon has launched two new features, "Search Performance" and "Search Term Performance," to help brand sellers refine their operations. By analyzing data at the ASIN and keyword level, sellers can diagnose sales funnel issues, optimize keyword strategies, seize market opportunities, and achieve data-driven performance growth. These features empower sellers to understand how their products are performing in search and how customers are finding them, enabling more informed decisions and improved campaign effectiveness.

Ebay Growth Strategies Analyzed in Traffic Data Study

Ebay Growth Strategies Analyzed in Traffic Data Study

This article delves into the methods of acquiring and analyzing eBay traffic data. It dissects various traffic sources, including new account traffic, category traffic, and active account traffic. Furthermore, it proposes refined operation strategies such as optimizing product listings, participating in promotional activities, and providing excellent customer service. These strategies aim to help eBay sellers increase store traffic and improve overall performance.

OZON Trend Data Boosts Seller Success in Ecommerce

OZON Trend Data Boosts Seller Success in Ecommerce

This article provides a detailed interpretation of how OZON sellers can leverage the "Trends" module in the back-end to analyze market volume and sales cycles. By following three steps: accessing the back-end, selecting a category, and viewing the data, sellers can grasp key information to optimize product selection and sales strategies, ultimately standing out from the competition. This allows for data-driven decisions and improved performance on the OZON platform.

Datadriven Strategy Stabilizes Ad Performance in Digital Marketing

Datadriven Strategy Stabilizes Ad Performance in Digital Marketing

Fluctuations in native advertising performance are a common challenge for optimizers. This paper analyzes the causes of traffic fluctuations from both quantitative and qualitative perspectives, offering optimization strategies for channels, budgets, and creatives. It proposes a data-driven traffic control process, emphasizing the evaluation of periodic costs and overall effectiveness. The aim is to enhance the stability of native advertising campaigns and improve predictability in performance, allowing for more effective resource allocation and campaign management.

Privacy and Security Compared Houbird Vs Bit Browser

Privacy and Security Compared Houbird Vs Bit Browser

This article provides an in-depth review of Houbird Fingerprint Browser and Bit Browser from a data analyst's perspective. It compares and analyzes their strengths and weaknesses in terms of security, ease of use, speed, and platform support. The aim is to offer selection advice to help users choose the appropriate privacy-protecting browser based on their specific needs. The comparison covers key features and performance metrics to assist users in making informed decisions regarding their online privacy and security.

Amazon Ads Launches Skulevel Profitability Tools for Sellers

Amazon Ads Launches Skulevel Profitability Tools for Sellers

Amazon Advertising launched a new "Products" page, integrating SKU-level advertising data to help sellers analyze profitability and avoid blind optimization. This feature provides optimization suggestions without relying on third-party tools, although it currently excludes Sponsored Brands campaign data. It's a valuable tool for profit-driven operators, enabling them to understand the performance of individual products and make informed decisions to improve their bottom line.

Amazon Sellers Struggle With Rising Ad Costs Lower Profits

Amazon Sellers Struggle With Rising Ad Costs Lower Profits

This paper delves into why some Amazon sellers experience diminishing returns on advertising spend within specific categories. By analyzing category characteristics such as traffic concentration and keyword purchase intent, using the Ring Light as a case study, it proposes a gradual growth strategy for mid-tier sellers and a multi-listing strategy for top-tier sellers. The study introduces the "Keyword Blocking Coefficient" as a key metric to help sellers develop more precise and efficient advertising strategies, ultimately maximizing profits. This aims to provide actionable insights for optimizing ad performance and improving ROI.

Customs Agencies Adopt Generative AI Amid Data Challenges

Customs Agencies Adopt Generative AI Amid Data Challenges

This paper explores the application of Generative AI (GenAI) in the customs domain from a data analyst's perspective. It analyzes the technical principles, limitations, and potential applications of GenAI, emphasizing the importance of building high-quality training corpora. It also proposes strategies to address the challenges brought about by GenAI implementation. The aim is to provide a reference for customs departments in formulating informed GenAI strategies. The paper highlights the need for careful consideration of data quality and ethical implications for successful GenAI deployment within customs operations.

Brazil Study Reveals Trade Facilitation Opportunities

Brazil Study Reveals Trade Facilitation Opportunities

Brazil's first national Time Release Study (TRS) revealed an average release time of 7.5 days, with customs clearance accounting for less than 10% and private sector processes exceeding half. The study, following the WCO methodology, aims to enhance transparency and promote trade facilitation, with plans to publicly release the raw data. The research underscores the critical role of data-driven approaches in optimizing customs procedures and fostering trade facilitation. It highlights areas for improvement within both public and private sectors to streamline the overall import/export process.

Express Delivery Firms Embrace Data for Sustainability Gains

Express Delivery Firms Embrace Data for Sustainability Gains

This paper, from a data analyst's perspective, delves into the definition, functions, development history, technical architecture, organizational structure, information processing, and logistics optimization techniques of express network systems. It focuses on the application of technologies such as artificial intelligence, big data, and cloud computing in express networks, as well as the challenges and opportunities brought about by environmental sustainability and globalization. The aim is to provide a reference for efficiency improvement, innovation-driven development, and sustainable development in the express industry.