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Google Case : Capital Structure

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Mining Advertiser-specific User Behavior Using Adfactors Nikolay Archak New York University, Leonard N. Stern School of Business 44 West 4th Street, Suite 8-185 New York, NY, 10012 Vahab S. Mirrokni Google Research 76 9th Ave New York, NY 10011 S. Muthukrishnan Google Research 76 9th Ave New York, NY 10011 mirrokni@google.com muthu@google.com narchak@stern.nyu.edu ABSTRACT Consider an online ad campaign run by an advertiser. The ad serving companies that handle such campaigns record users’ behavior that leads to impressions of campaign ads, as well as users’ responses to such impressions. This is summarized and reported to the advertisers to help them evaluate the performance of their campaigns and make better budget …show more content…

In another study, comScore [8] reported an incremental “lift” of 27% in 1 Impression is simply an act of showing an ad in a page viewed by the user. 2 Conversions are defined by the advertisers and may represent a wide range of user activities from buying an item to simply spending a suitable amount of time on the advertiser’s website. 3 The clickthrough rate (CTR) is defined as the fraction of times an ad was clicked by users when shown. Categories and Subject Descriptors H.4.m [Information Systems]: Miscellaneous; J.4 [Social and Behavioral Sciences]: Economics General Terms Performance, Measurement, Economics Copyright is held by the International World Wide Web Conference Committee (IW3C2). Distribution of these papers is limited to classroom use, and personal use by others. WWW 2010, April 26–30, 2010, Raleigh, North Carolina, USA. ACM 978-1-60558-799-8/10/04. the online sales after the initial exposure to an online ad, as well as lift in other important online behaviors, such as the brand site visitation and the trademark searches. The advertisers seek to understand the impact of their ad not just on the immediate click or conversion, but the likelihood of the eventual conversion in the long term and other long term effects. Users take specific trajectories in terms of the search queries they pose and the websites they browse, and this affects the sequence of ads they see; conversely, the sequence of

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