Analyzing data from eBay listings provides valuable insights for eCommerce businesses looking to optimize their online presence. Key factors include tailoring the number of 'item specifics' fields, with fashion and home categories showing the highest Sell-Through Rates (STRs) when using 8 and 10 fields, respectively. Descriptions with word counts around 304 for fashion and 397 for home and garden are most effective, alongside a balanced text-to-visual ratio, particularly important for visually driven home and garden shoppers. Market entry strategies should consider geographical differences, as eBay Germany offers higher STRs than Australia, while health and fitness categories outperform others like diamond rings in sales. Understanding consumer preferences for item conditions is crucial, as two-thirds of eBay sales involve used items. These insights are supported by data analysis tools like Bright Data's Web Scraper API, which facilitates competitive market analysis and strategy formulation.