Refined Push Algorithm of Marketing Data Based on Data Mining Algorithm

Abstract

Data mining algorithm is a very popular algorithm now. Today, with the popularization of e-commerce models, the relationship between traditional enterprises and customers has undergone certain changes, and enterprises need to be customized according to customer needs. Based on the data mining algorithm, this paper conducts an in-depth study of the marketing data refined push algorithm, and finds the balance point in line with the relationship between the enterprise and the customer. This research is in the specific marketing process, applying data mining algorithms and related technologies to analyze the collected customer information, and formulating appropriate refined and private marketing strategies. Using this algorithm can achieve long-term and effective results with customers. cooperate. Experimental results show that customer relationship management is now one of the most important issues for enterprises to consider. The accuracy and recall rates of customer data information are 0.102875 and 0.095874, respectively. Now the relationship with customers is effectively maintained and corresponding. The push has gradually attracted attention from many aspects.