The Complex Dynamics of Sponsored Search Advertising Markets

V. Robu, J. A. La Poutré, S. Bohté
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Abstract

This paper provides a comprehensive study of the structure and dynamics of online advertising markets, mostly based on techniques from the emergent discipline of complex systems analysis. First, we look at how the display rank of a URL link influences its click frequency, for both sponsored search and organic search. Second, we study the market structure that emerges from these queries, especially the market share distribution of different advertisers. We show that the sponsored search market is highly concentrated, with less than 5% of all advertisers receiving over 2/3 of the clicks in the market. Furthermore, we show that both the number of ad impressions and the number of clicks follow power law distributions of approximately the same coefficient. However, we find this result does not hold when studying the same distribution of clicks per rank position, which shows considerable variance, most likely due to the way advertisers divide their budget on different keywords. Finally, we turn our attention to how such sponsored search data could be used to provide decision support tools for bidding for combinations of keywords. We provide a method to visualize keywords of interest in graphical form, as well as a method to partition these graphs to obtain desirable subsets of search terms.
赞助搜索广告市场的复杂动态
本文对网络广告市场的结构和动态进行了全面的研究,主要基于复杂系统分析这一新兴学科的技术。首先,我们看看URL链接的显示排名如何影响其点击频率,包括赞助搜索和自然搜索。其次,我们研究了从这些查询中出现的市场结构,特别是不同广告商的市场份额分布。我们发现,赞助搜索市场高度集中,只有不到5%的广告商获得了市场上超过2/3的点击量。此外,我们还发现,广告展示次数和点击次数都遵循近似相同系数的幂律分布。然而,我们发现,当研究每个排名位置的相同点击分布时,这一结果并不成立,这显示出相当大的差异,很可能是由于广告商在不同关键字上分配预算的方式。最后,我们将注意力转向如何使用这些赞助搜索数据来提供关键字组合竞标的决策支持工具。我们提供了一种以图形形式可视化感兴趣的关键字的方法,以及一种划分这些图以获得所需搜索词子集的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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