Construction of Data Mining Model of CRM Marketing Based on Big Data Clustering Analysis

Abstract

In the current competitive business landscape, the significance of Customer Relationship Management (CRM) has become increasingly prominent, as enterprises are leveraging data mining methods for devising marketing strategies. This study focuses on constructing a data mining model for CRM marketing based on big data clustering analysis. Through an in-depth analysis of existing literature and technologies, the potential of data mining in segmenting markets, predicting customer behavior, and enhancing customer satisfaction is revealed. However, current research also highlights the challenges in data integration, privacy preservation, and algorithm application. This study aims to build an innovative data mining model against this backdrop to optimize the effectiveness of CRM marketing strategies. Leveraging big data clustering analysis, the model will capitalize on latent patterns within data, providing more accurate guidance for market segmentation and personalized marketing, thereby enhancing the efficacy of CRM and competitive advantage.