Data Analysis in Mobile E-Commerce
Download as PDF
Abstract: We know that in the mobile e-commerce operation, a very important link to improve efficiency and decision-making effectiveness is data score. Therefore, this paper analyzes the application of data analysis in mobile e-commerce. Through consulting the literature, this paper understands the data analysis technology in mobile e-commerce, and summarizes the specific application of data analysis technology in mobile e-commerce, which lays the foundation for the research on the application effect of data analysis technology in mobile e-commerce. In order to further study the application effect of data analysis in mobile e-commerce, this paper set up a control experiment to study. In this study, two e-commerce enterprises (A B) are selected as the research objects. Among them, enterprise A is an e-commerce enterprise that uses data analysis to manage e-commerce platform, and enterprise B is an e-commerce enterprise that uses traditional methods to manage e-commerce platform. We take the conversion rate of intended customers, transaction rate, repurchase rate and satisfaction degree as the research indicators. The results show that the conversion rate of intention customers of enterprise A is 45%, the transaction rate is 31%, the repurchase rate is 45%, the satisfaction rate is 85%, the conversion rate of intention customers of enterprise B is 21%, the transaction rate is 15%, the repurchase rate is 27%, and the satisfaction is 62%. From the data results of the mobile electronic platforms of the two enterprises, it can be seen that the adoption of data analysis technology in mobile e-commerce can achieve better results for enterprises revenue.
Key words: Data Analysis, Mobile E-Commerce, Application Effect, Platform Management