摘要
为了解决运营商缺乏识别客户关系的难题,采用大数据建模的方法,分析了运营商底层信令平台数据,研究了层次分析法和客户日常接触沟通频率层次的界定,提出了浅关系模糊营销快速机制,经过试验证明,浅关系模型能够快速验证客户的关系圈子并分析出业务倾向。基于当前营销方案,应用本关系嗅探方案可较好地与快速营销系统结合,以提升营销效率;同时,关系嗅探方案还可应用于更为广泛的家庭、政企业务。
In order to deal with the difficulty in the customer relationship identification for operators, the big data modeling was adopted to analyze the underlying signaling platform data of operators, investigate the definition of AHP and customer contact frequency and propose the fuzzy relationship marketing based on the shallow relationship. It was proved that the shallow relationship model can quickly verify the customer relationship circle and analyze the customer＇s business tendency. Based on the current marketing plan, the application of the relationship sniffing scheme can combine with the rapid marketing system and enhance the marketing efficiency. In the mean time, the scheme can be also applied to a wider range of household and government business.
出处
《移动通信》
2017年第2期92-96,共5页
Mobile Communications
关键词
关系嗅探
大数据
快速营销
P2P频率模型
relationship sniffing big data fast marketing P2P frequency model
