The Application of Random Models in Forecasting Commercial Banks Saving Deposits Customer Purchase Behavior
In this paper, we use the random theory into analyzing commercial banks saving deposits customer future purchase behavior. We build the purchase times and amount models according to the characteristics of commercial banks products based on redefining these variables and modifying the models in retail industry, and then use the actual transaction data of one commercial banks saving deposits to validate these models. In addition, we compare the two models of purchase times, Pareto/NBD and BG/NBD model, and come to a conclusion that we can use the BG/NBD model to take place the Pareto /NBD model when the time and cost is limited. We use the gamma-gamma model to analyze purchase amount, and further calculate the future transaction volume and profit Its meaningful to provide numeric decision-making for managers to guidance of customer relationship management.
random model commercial bank purchase behavior Pareto/NBD BG/NBD gamma-gamma
Chunqing Li Suqiang Wang
School of Economics and Management, Xian Technological University, China
国际会议
第八届武汉电子商务国际会议(The Eighth Wuhan International Conference on E-Business)
武汉
英文
1316-1325
2009-05-30（万方平台首次上网日期，不代表论文的发表时间）