Cross-border e-commerce platforms often face the challenge of managing and analyzing vast amounts of customer feedback to improve their services and products. Tangbuy, a platform that facilitates the process of purchasing goods from China for international customers, can effectively utilize Tangbuy Spreadsheet to extract actionable insights from user reviews.The process begins by consolidating user evaluations into a Tangbuy Spreadsheet. This involves collecting data from various sources, such as product reviews, service feedback, and customer interactions. By organizing this information in a structured format, businesses can more easily identify trends and patterns in customer sentiment.Utilizing keywords and sentiment analysis tools within the spreadsheet, businesses can categorize reviews into positive and negative feedback. Keywords can be used to flag specific issues or praises mentioned by customers, such as "fast shipping" or "poor quality." Sentiment analysis helps in understanding the emotional tone behind the reviews, distinguishing between satisfied and dissatisfied customers.Once the data is categorized, businesses can use data pivoting tools to analyze the集中反馈的问题. For instance, if many customers complain about slow logistics, this becomes a clear area for improvement. Similarly, if a product receives consistent praise for its quality, it can be identified as a strong seller.By focusing on these areas, cross-border e-commerce platforms can optimize their business processes. For example, they might improve supply chain management to speed up物流速度 or work with manufacturers to enhance product quality based on customer feedback.External resources, such as the Tangbuy chat platform (https://www.tangbuy.chat), can also provide additional insights into customer behavior and preferences, further aiding in the analysis of review data.In conclusion, the strategic use of Tangbuy Spreadsheet for analyzing user feedback data is crucial for cross-border e-commerce platforms like Tangbuy. It allows them to not only understand customer needs but also to make data-driven decisions that can significantly enhance their business operations and customer satisfaction.