An accurate and rapid pushing of marketing information based on multidimensional data mining

In order to address the accuracy and recall issues in marketing information push, this study proposes a strategy based on multidimensional data mining to achieve accurate and efficient marketing information push. First of all, collect marketing information and build a push probability index system; secondly, the analytic hierarchy process is used to calculate the weight of the marketing information push index; finally, considering the product life cycle, data mining technology is used to obtain the stable and random purchase interest of active and inactive users, and marketing information is accurately and rapidly pushed through the above four dimensions. The research results show that after adopting this method, the accuracy of marketing information push reached 98.1%, the recall rate reached 96.9%, and user satisfaction also increased to 98.5%, significantly improving the overall effect of marketing information push and user satisfaction.