基于消费者移动轨迹的DSP广告策略研究
[Abstract]:With the rapid development of Internet cloud platform and big data mining and analysis technology, more and more diverse and more complex advertising marketing methods continue to promote the vigorous development of advertising industry. The demand side platform (Demand-Side Platform,DSP), which takes the advertising audience as the core, puts the advertisement in front of the individual with demand through the analysis of consumer behavior. Due to the popularity of mobile communication and the rapid development of the mobile Internet, people and intelligent terminals are bound one by one. The change of geographical location of the terminal effectively reflects the change of the geographical location of people. This will be accurate marketing as the core of DSP advertising to bring leapfrog development. This paper takes the typical offline business scene of the shopping mall as the research object, and tracks the movement of the shopping center consumer with the indoor positioning technology. This paper deeply excavates and analyzes the mobile advertising record and advertising effect record in shopping center, fully considers the multi-dimensional information, such as personal attribute, mobile track, etc., and takes the change of offline consumer's geographical location as the core element. Combining the DSP advertising model of online precision marketing with the offline special scene, this paper puts forward the 4W (When and Where send What to Who) strategy model of DSP advertising based on the consumer mobile trajectory, and respectively from "Advertising audience Portrait", "dynamic correlation of advertising content" and "choice of advertising timing" are three elements to explain the structure of the model, and hypotheses are put forward for the core contents of different elements. In view of the above model, this paper selects a shopping center as the research object, extracts the relevant data to analyze the three elements of the above model, and finds that there is no correlation between the gender of the consumer in the portrait of the advertising audience and the advertising effect. The age of the consumers, whether they are members of the shopping center, whether the members have static factors such as the length of time the members have, as well as the length of stay of the daily visits of the consumers in the shopping center, the number of times of passing by or entering the shopping center in the last 30 days or nearly 7 days, etc, are dynamic characteristics. And whether the purpose of consumer groups and so on will have an impact on the effectiveness of the shopping center advertising. It is worth mentioning that the number of times passing by and entering shopping centers in the last 30 days shows a completely opposite relationship to the effect of advertising on consumers, and the corresponding records of the last 30 days and 7 days also show the opposite law of action. In addition, there is a relationship between access to different stores by shoppers in shopping centers. Both associated stores and popular stores can help the model to better excavate consumers' shopping center behavior habits. This paper provides a reference for the targeted placement of DSP ads in the model. At the same time, this paper finds that the probability of positive response to mobile advertising in this scene is the highest in the beginning period of entering the shopping mall, and decreases first and then increases with the time of entering the mall. According to the above conclusions, this paper summarizes and analyzes the 4W strategy model of DSP advertising based on the consumer mobile trajectory, and analyzes the different roles of using the model (that is, advertisers, advertisers). The relationship between advertising audience and so on is discussed, and the suggestions of DSP advertising 4W strategy model based on consumer mobile trajectory are put forward for advertisers and advertisers, respectively, in order to achieve the goal of making profit for both sides of the advertisement. Jointly maintain and develop the consumers as the advertising audience, improve the advertising effect while improving the service experience of consumers.
【学位授予单位】:哈尔滨工业大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:F713.8
【参考文献】
相关期刊论文 前10条
1 崔安琪;;我国程序化购买广告平台研究[J];广告大观(理论版);2016年03期
2 吴德胜;张军;张兆军;;大数据时代DSP广告的困境与对策[J];新闻研究导刊;2016年10期
3 王志军;张第;杨宇;;基于上网记录大数据的户外广告投放方法[J];电信技术;2016年03期
4 欧海鹰;;在线广告发布商与广告主的竞合策略研究[J];管理评论;2015年10期
5 陈世立;;大数据背景下的移动广告程序化购买[J];新闻研究导刊;2015年20期
6 张辉;李华;;基于LBS的移动精准广告发布系统研究[J];计算机时代;2015年08期
7 黄杰;;大数据时代程序化购买广告模式研究[J];新闻知识;2015年04期
8 陈汉德;;基于大数据分析处理的DSP广告平台[J];电子世界;2014年10期
9 于月娥;;设立DSP行业标准,搭建中国RTB健康发展平台——专访品友互动CEO黄晓南[J];广告大观(综合版);2013年12期
10 黄学成;林先杰;;在线视频服务中平台商与广告主之间的竞合分析[J];西北工业大学学报(社会科学版);2013年03期
相关硕士学位论文 前10条
1 吴云;轨迹挖掘场景化精准广告投放研究[D];山东财经大学;2016年
2 陈顺风;基于大数据的网络广告推送服务研究[D];北京交通大学;2015年
3 王妍;基于社交网络的精准广告投放策略研究[D];华中师范大学;2015年
4 胡f3;聚美优品广告投放策略研究[D];湖南大学;2014年
5 段超;键值存储的互联网广告投放系统需求方平台研究与设计[D];华中师范大学;2014年
6 张波;移动广告投放行为制约因素研究[D];天津师范大学;2013年
7 谢远艺;购物网站互动性对消费者冲动性购买的影响研究[D];华南理工大学;2012年
8 滕毅敏;超市购物中非计划性购买研究[D];复旦大学;2011年
9 钟云云;基于地理信息的内容定向广告投放算法及性能研究[D];浙江大学;2011年
10 李秀梅;基于服务利润链的百货商场会员忠诚度研究[D];浙江工商大学;2008年
,本文编号:2322790
本文链接:https://www.wllwen.com/jingjilunwen/guojimaoyilunwen/2322790.html