Optimizing Market Segmentation Granularity in RTB Advertising: A Computational Experimental Study
Qin Rui1,2,3; Yuan Yong1,2,3; Wang Fei-Yue1,4
2016
Conference NameThe 9th IEEE International Conference on Social Computing and Networking (SocialCom2016)
Conference Date2016
Conference PlaceUSA
AbstractReal Time Bidding (RTB) is a novel business model of online computational advertising with the integration of Internet economy and big data analysis. It can help advertisers achieve the precision marketing through the market segmentation strategies of Demand Side Platforms (DSPs). Based on a mathematical programming approach, this paper
studied DSPs’ strategies for market segmentation, and established a selection model of the granularity for segmenting RTB advertising markets. We proposed to validate our model using the computational experiment approach, and the experimental results show that: 1) with the increasing refinement of the market segmentation granularity, the total revenue has a tendency of a rise first followed by a decline; 2) the optimal granularity
of market segmentation will be significantly influenced by the number of advertisers on the DSP, but less influenced by the number of ad requests. Our findings show the crucial role
of market segmentation on the RTB advertising effect, and indicate that the DSPs should adjust their market segmentation strategies according to their total number of advertisers. Our findings also highlight the importance of advertisers as well as the characteristics of the target audiences in DSPs’ market segmentation decisions.

Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/15441
Collection复杂系统管理与控制国家重点实验室_先进控制与自动化
Corresponding AuthorYuan Yong
Affiliation1.The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences
2.Qingdao Academy of Intelligent Industries
3.Beijing Engineering Research Center of Intelligent Systems and Technology
4.Research Center of Military Computational Experiments and Parallel System, National University of Defense Technology
Recommended Citation
GB/T 7714
Qin Rui,Yuan Yong,Wang Fei-Yue. Optimizing Market Segmentation Granularity in RTB Advertising: A Computational Experimental Study[C],2016.
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