Data analysis refers to the process of using appropriate statistical methods to analyze the massive amount of data collected in order to maximize the function of the data, give full play to the role of the data, extract useful information and form correct conclusions, so as to conduct detailed research and mining of the data. Data analysis can establish the operation of the entire store on the basis of scientific analysis, conduct qualitative and quantitative analysis through various indicators, and provide the most accurate reference for decision-making. Taking the AliExpress platform as an example, the seller’s backend provides a “Data Vertical and Horizontal” tool, which contains huge industry data and all the data of the seller’s own store. It can be analyzed intuitively using graphics and tables, or statistical calculations can be performed using Excel formulas and pivot tables. Finally, the answer is quickly obtained to provide a basis for the store’s business decisions.
AliExpress data analysis is divided into two parts: industry analysis and store product analysis. The first part is to choose a good industry and product to develop the store; the second part is to carry out optimization activities for stores and products based on a variety of data indicators, and implement certain marketing strategies to provide impetus for the growth of the store.