Title :
Behavior-based online customer segmentation
Author :
Hu, Jia ; Zhong, Ning
Author_Institution :
Dept. of Inf. Eng., Maebashi Inst. of Technol., Gunma, Japan
Abstract :
Identifying and reaching out to the most profitable and promising online customers are the first vital step for personalization/customization and one-to-one marketing. Combing behavior-based targeted marketing for fast and effective online customer segmentation, and performing multi-level marketing strategies for targeted online customer groups can significantly improve the performance of most online enterprises.
Keywords :
Internet; consumer behaviour; data mining; electronic commerce; product customisation; behavior-based online customer segmentation; behavior-based targeted marketing; customization; multi-level marketing strategy; one-to-one marketing; online enterprise; personalization; Cleaning; Data mining; Displays; Information resources; Productivity; Web mining; Web page design;
Conference_Titel :
Active Media Technology, 2005. (AMT 2005). Proceedings of the 2005 International Conference on
Print_ISBN :
0-7803-9035-0
DOI :
10.1109/AMT.2005.1505294
