摘要
针对油品销售企业精准营销存在的痛点,分析了大数据营销数据关联、客户画像、精准营销、辅助决策四方面的研究重点,提出了客户数据分析的主要内容:客户数据抽取、客户数据整合、客户画像分群,给出了智能数字营销客户需求识别预判、精准营销策略匹配、营销成效评估的方法.通过数据+智能+营销,赋能企业数字化转型,深度应用挖掘客户数据价值,形成客户多维画像,实现客户行为的深度洞察及营销措施的智能推送,最终实现数据驱动业务的有效增长.
Abstract
In view of the pain points of precision marketing in oil sales enterprises,the research focus of marketing data association,customer portrait,precision marketing and auxiliary decision-making using big data are analyzed,and the main contents of customer data analysis are put forward,such as customer data extraction,customer data integration,customer portrait grouping,and the methods of intel-ligent digital marketing customer demand identifica-tion and prediction,precision marketing strategy matching,and marketing effectiveness evaluation are proposed.Through data+intelligence+market-ing,big data can help to empower the digital trans-formation of enterprises,deeply apply and mine the value of customer data,form multi-dimensional portraits of customers,realize in-depth insight into customer behavior and intelligent push of marketing measures,and ultimately realize the effective growth of data-driven business.
维普
万方数据