Title :
AD-MAD: Automated Development and Optimization of Online Advertising Campaigns
Author :
Thomaidou, S. ; Leymonis, K. ; Liakopoulos, K. ; Vazirgiannis, M.
Abstract :
Creating and monitoring a competitive and cost-effective pay-per-click advertisement campaign through the web-search channel is a resource demanding task in terms of human expertise and effort. Assisting or even automating the work of an advertising specialist will have an unrivaled commercial value. In this demonstration we present a prototype and a functional web application for semi- and fully-automated creation, monitoring, and management of cost-efficient pay-per-click campaigns with budget constraints. The prototype is experimentally evaluated on real world Google Ad Words campaigns and shows a promising behavior with regards to campaign performance statistics outperforming systematically the competitive manually created and/or monitored campaigns.
Keywords :
Internet; advertising data processing; budgeting; information retrieval; office automation; AD-MAD; Google AdWords campaigns; Web search channel; automated development; automated optimization; budget constraints; cost-effective pay-per-click advertisement campaign monitoring; cost-efficient pay-per-click campaign management; fully-automated creation; functional Web application; online advertising campaigns; performance statistics; prototype Web application; resource demanding task; semiautomated creation; work automation; Advertising; Genetic algorithms; Google; Manuals; Monitoring; Optimization; Testing; Google AdWords; automated campaign management; automated keyword extraction; genetic algorithms; online advertising; pay-per-click advertising;
Conference_Titel :
Data Mining Workshops (ICDMW), 2012 IEEE 12th International Conference on
Conference_Location :
Brussels
Print_ISBN :
978-1-4673-5164-5
DOI :
10.1109/ICDMW.2012.144