A novel precision marketing model based on telecom big data analysis for luxury cars
Traditional marketing approach mainly adopts advertising and telemarketing method to attract potential consumers. It will need a lot of manpower and resources, but cannot position the targeted consumers accurately. In this paper, a novel precision automotive marketing model based on telecom big data mining is proposed to predict the potential high-end luxury car buyers. Initially, both logistic regression algorithm and neural network mining algorithm are applied to build the prediction model. A comprehensive understanding of existing high-end luxury car owners and telecom users are also analyzed deeply before modeling. Then, we derive the key attributes from four dimensions, including user characteristics, communication behavior, terminal attribute and social circle. Based on the evaluation of correlation matrix, eight clever attributes are selected as input variables of the proposed model. Finally, the analysis results demonstrate that the proposed prediction model can achieve superior performance and match the pre-analysis conclusions better.