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
Link To Document