客户流失分析 我怎样抑制客户流失 所有银行分行 经理、决策人员 挖掘后分析 挖掘发现的规则 对于每个上述的客户进95%的减少交易活动的 行分析 怅户在未来2个月内可能 将流失 所有交易记录 行动 Classification算法 需要在某些业务方 面作些改变 决策树数据仓库
客户流失分析
Customer deve lopment Elements of customer development include customer lifetime value analysis, up/cross selling and market basket analysis Customer lifetime value analysis is defined as the prediction of the total net income a company can expect from a customer. Up/ Cross selling refers to promotion activities which aim at augmenting the number of associated or closely related services that a customer uses within a firm Market basket analysis aims at maximizing the customer transaction intensity and value by revealing regularities in the purchase behaviour of customers
Customer development ◼ Elements of customer development include customer lifetime value analysis, up/cross selling and market basket analysis. ◼ Customer lifetime value analysis is defined as the prediction of the total net income a company can expect from a customer. Up/Cross selling refers to promotion activities which aim at augmenting the number of associated or closely related services that a customer uses within a firm. ◼ Market basket analysis aims at maximizing the customer transaction intensity and value by revealing regularities in the purchase behaviour of customers
SPSS通讯行业分析专题 新业务营销 套餐设计优化 产品 客户套餐匹配 Product 3G数据业务发展 客户市场细分专题 客户价值提升专题 新增市场占有率 蓝销活动应专题 客户渠道偏好专题 客户关怀专题 业务测量专题 客户交际图专题 收入预测专题 客户信用分析专题 渠道 Channel 客户流失预签专题 客户策反专题 客户满意度专题 客户 Customer
SPSS通讯行业分析专题
SPSS Modeler通讯行业分析模型 客户生命周期模型 cox回归 客户细分模型 K-means Kohonen 两步聚类 交叉销售模型 GRI Apriori CARMA 核心客户识别模型 c5.0 C&R ∠ Logistic回归 客户流失预警模型 CHAID QUEST 客户渠道响应模型 KNN②神经网络 主动营销模型 SVM ④ 贝叶斯网络 业务模型 SPSS Modeler模型
SPSS Modeler通讯行业分析模型
Personalized recommendation systems
Personalized recommendation systems