论文部分内容阅读
保健药品企业如何有效预判客户流失率、如何精准识别不同产品在客户吸引力和流失方面的差别等是目前急需解决的问题.基于企业海量交易数据,从客户层面构建顾客流失率预测模型,并从产品层面对交易记录进行分析.研究得出以下结论:顾客购买时间间隔服从正态分布;在保健药品购买中女性所需的产品最受欢迎,其在购买自身所需药品时也可能会为其他家庭成员购买保健品;研究还同时发现具备很多功效的保健品并未受到顾客的欢迎,相反其流失率最高.
How to predict the churn rate effectively and how to accurately identify the differences between different products in the attractiveness and loss of customers are the urgent problems to be solved urgently.Considering the massive transaction data of enterprises, Analyzing the transaction records from the product level, the research concluded that the time intervals between customer purchase and purchase are normal distribution, and that women’s products are most popular in the purchase of health-care medicines, and may also be the Other family members to buy health products; the study also found that with many health effects of health products has not been welcomed by customers, on the contrary, the highest loss rate.