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大数据驱动用户运营

Big Data Drives User Operations

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针对海量的用户视频行为数据,如何利用这些数据对用户进行画像,找到用户的偏好,从而进一步实现精准营销,是本文重点探讨的话题.基于此,本文实现用户中心运营系统.介绍系统的功能架构,本系统基于大数据平台,构建用户标签体系,详细阐述用户标签的构成开发方式以及用户分群,并针对特定的人群进行相应的营销策略的推荐.最后介绍该系统的实际应用情况.用户中心运营系统业务人员更加地了解用户,从而使运营的策略更加准确.
In response to the massive amount of user video behavior data,how to use this data to characterize users,find their preferences,and further achieve precision marketing,is the focus of this article's discussion.Based on this,this article implements a user center operation system.Introduced the functional architecture of the system,based on the big data platform,this system constructed a set of user tag system,and elaborated on the composition and development methods of user tags,as well as user segmentation and corresponding marketing strategy recommendations for specific audiences.Finally,the practical application of the system was introduced.The user center operation system enables business personnel to have a better understanding of users,thereby making operational strategies more accurate.

big datauser behavioruser tagsuser profileprecision marketing

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上海民航职业技术学院,上海 200232

大数据 用户行为 用户标签 用户画像 精准营销

2024

软件
中国电子学会 天津电子学会

软件

影响因子:1.51
ISSN:1003-6970
年,卷(期):2024.45(1)
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