浙江电力

2017, v.36;No.260(12) 22-26

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基于决策树算法的电子渠道精准营销效能分析
Analysis of Electronic Channel Precision Marketing Efficiency Based on Decision Tree Algorithm

张宏达
ZHANG Hongda

摘要(Abstract):

APP广告投放是目前互联网环境下企业所普遍面临的问题,随着行业信息化水平的提升,企业所拥有的用户数据不断增加,越来越多的企业采用精准营销的方式来进行宣传推广。精准营销的核心是对数据进行挖掘,揭示出数据中隐含的规律和知识,并运用这些知识来进行决策,降低营销成本,提高营销效果。研究采用分类器中的决策树算法,主要是利用历史用户数据来建立分类器的模型,揭示用户的特征与所偏好渠道的关系。结合掌上电力APP推广案例,依据分析结果提出掌上电力APP的精准营销渠道策略。
APP advertising is an existing problem that companies generally face in the context of internet.With the enhancement of industrial informatization level, user data owned by the enterprises increase, and more and more enterprises adopt accurate marketing for propaganda and promotion. The core of precision marketing is data mining and revealing the implicit rules and knowledge in the data, which is used to make decisions, reduce marketing costs and improve marketing effect. This research adopts the decision tree algorithm in the classifier, which mainly uses the historical user data to establish the classifier model and reveals the relationship between users′ characteristics and the preferred channel. Based on power APP promotion cases,an accurate marketing channel strategy of power APP is put forward according to the analysis result.

关键词(KeyWords): 决策树算法;电子渠道;精准营销
decision tree algorithm;electronic channel;precision marketing

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 张宏达
ZHANG Hongda

DOI: 10.19585/j.zjdl.201712005

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