Advertising Behaviour Essay

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WWW 2009 MADRID! Track: Internet Monetization / Session: Web Monetization How much can Behavioral Targeting Help Online Advertising? 1 Jun Yan1, Ning Liu1, Gang Wang1, Wen Zhang2, Yun Jiang3, Zheng Chen1 Department of Automation University of Science & Technology Hefei, 230027, China 2 3 Microsoft Research Asia Beijing, 100080, China ShangHai Jiao Tong University Shanghai, 200240, China {junyan, ningl, gawa, zhengc} ABSTRACT Behavioral Targeting (BT) is a technique used by online advertisers to increase the effectiveness of their campaigns, and is playing an increasingly important role in the online advertising market. However, it is underexplored in academia how much BT can truly help online advertising in search engines. In this paper we provide an empirical study on the click-through log of advertisements collected from a commercial search engine. From the experiment results over a period of seven days, we draw three important conclusions: (1) Users who clicked the same ad will truly have similar behaviors on the Web; (2) Click-Through Rate (CTR) of an ad can be averagely improved as high as 670% by properly segmenting users for behavioral targeted advertising in a sponsored search; (3) Using short term user behaviors to represent users is more effective than using long term user behaviors for BT. We conducted statistical t-test which verified that all conclusions drawn in the paper are statistically significant. To the best of our knowledge, this work is the first empirical study for BT on the click-through log of real world ads. We use 7 days’ ads click-through log data coming from a commercial search engine, dated from June 1st to 7th 2008, to compare different BT strategies and validate the effectiveness of BT. The log dataset records all users’ search click
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