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通过大数据融合技术实现客户、产品、事件及渠道的融合管理及运营,采用k-means算法构建出客户全生命周期模型,分析客户群体所处的周期阶段,用决策树模型对潜在的离网预警客户进行细分,使用协同过滤算法计算活动间的相似度,通过智能营销系统平台采用对目标客户进行营销活动精准匹配,通过大数据营销平台实现智能化营销,提升存量客户保有的成功率。
The integration and management of customers, products, events and channels are implemented through big data fusion technology. The customer life cycle model is constructed by k-means algorithm. The cycle phases of customer groups are analyzed. The decision tree model is used to analyze the potential off-grid Early warning customers to segment, the use of collaborative filtering algorithm to calculate the similarity between activities through the smart marketing system platform to target customers using precise matching of marketing activities, marketing through big data to achieve intelligent marketing and increase the success rate of stock customers.