Marketing decision-making method and system for e-commerce platform

The invention discloses a marketing decision-making method and system for an e-commerce platform, and belongs to the technical field of Internet, and the method comprises the steps: sending a data collection instruction to a user terminal, collecting the browsing behavior data and transaction data of a user at the user terminal, and forming a user original data set; constructing user feature vectors, performing clustering analysis on the user feature vectors, and dividing users into a conventional user group, a high-value common user group and a high-value personalized user group; generating a group interaction strategy template for each user group; and combining the group interaction strategy template and the user original data set at the user terminal to generate a user personalized interaction strategy. According to the method and the device, the problem that the marketing decision of the e-commerce platform in the prior art is lack of individuation and precision is solved, the differentiated requirements