Due to the development of Information Technology and World Wide Web, now sales can understand more about customer's browsing behaviors through the World Wide Web. Compared with now, sales could only get the sale data in the past. There is a huge grown of these data availability compared with the past. As the advance of computer hardware, we have more ability to store these data. However, with these data of buyers' making decision process not being analyzed, decision makers often could not understand the hidden information effectively.
The 3C retail chain stores had been selected as a case study for this research. We thought that consumer's need and acceptance toward products had already been reflected in the past consuming choices and searching behavior records. If we can find out the correlation between the searching behaviors and actual consuming records, this will assist business obtain the most appropriate marketing information on the web and increase response effectively. This will be tremendously profitable for marketing decision making. Using above theory, we suggest that data integration analysis model among members is applied to distinguish the marking segmentation for website promotion of company A. We hope that the model will improve current marketing communication and provide the practice value.
In the past, we normally apply demographic statistics, geographical distribution or social economy to segment consumers for the research about divining target customers. However, there has been no appropriate segmentation model to assist business of actual brick-and-click to segmentation on the basic behavior of the customer purchase for internet marketing promotions yet.
The consumer's behaviors had been applied as segmentation and the buyer's usage and response toward website had been utilized as foundation for this research. Principal components analysis had been applied to extract behavior variable; then Two-Stage Classification Method had applied to divide members into different groups. We divide members into life style groups of the one with similar data points and the one with different data points by the exploratory segmentation model for this research. This will be a nature formation of market segmentation to assist business to pin point what products to be sold on the web and how to differentiate the products. As well as assist business to segment member effectively, distinguish area website service and usage limitation. Business will no longer shoot blind for marketing to members and will be able to make the proper e-marketing communication decision.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0823107-153617 |
| Date | 23 August 2007 |
| Creators | Chan, I-ju |
| Contributors | Ming-Shang Huang, Hsin-Hui Lin, Szu-Yuan Sun |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0823107-153617 |
| Rights | not_available, Copyright information available at source archive |
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