随着供电局大客户数服务的更加细化,怎样利用大客户的用电量、用电习惯等找到他们的特点,对他们实行个性化服务是局营销客户服务的重点和难点。本研究基于数据挖掘的客户行为细分,以以往营销系统中的大客户行为数据为基础,通过识别不同客户群体的行为特征,进而达到科学的客户认知、风险管理、个性化营销和服务的要求。 As the number of VIP customers in the power supply bureau has been further refined, how to utilize the power consumption of large customers, their habits of using electricity and so on to find out their characteristics and implement personalized service to them is the key and difficult point of the marketing customer service. Based on the data mining customer behavior segmentation, based on the large customer behavior data in the marketing system in the past, by identifying the behavioral characteristics of different customer groups, the research achieves scientific customer cognition, risk management, personalized marketing and service Claim.