• DocumentCode
    2121772
  • Title

    Online Advertisement Campaign Optimization

  • Author

    Liu, Weiguo ; Zhong, Shi ; Chaudhary, Mayank ; Kapur, Shyam

  • Author_Institution
    Yahoo Inc., 701 First Avenue, Sunnyvale, CA 94089 USA. e-mail: weiguo@yahoo-inc.com
  • fYear
    2007
  • fDate
    27-29 Aug. 2007
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Like any marketing campaigns, online advertisement campaigns need to be monitored, analyzed and optimized. It is more so for online campaigns because online advertisements are usually sold in auction style. Prices can change very dynamically; the creatives, the landing pages and the targeting profiles can all be changed frequently to improve the effectiveness of a campaign. Also, the effectiveness can be measured almost instantly, usually in terms of click through rate and/or the acquisition/conversion rate. It raises many challenging problems in forecasting, data mining and optimization and entails an optimization system for any serious advertisers, publishers or ad networks.
  • Keywords
    Advertising; Costs; Data mining; Displays; Economic forecasting; Graphics; Monitoring; Optimal matching; Search engines; Web pages; Algorithms; Marketing; Online Advertisement; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Operations and Logistics, and Informatics, 2007. SOLI 2007. IEEE International Conference on
  • Conference_Location
    Philadelphia, PA, USA
  • Print_ISBN
    978-1-4244-1118-4
  • Electronic_ISBN
    978-1-4244-1118-4
  • Type

    conf

  • DOI
    10.1109/SOLI.2007.4383887
  • Filename
    4383887