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IOMS: Information Systems Working Papers >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/2451/14202
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| Title: | ANALYSIS OF WEB SITE USAGE DATA: HOW MUCH CAN WE LEARN ABOUT THE
CONSUMER FROM WEB LOGFILES? |
| Authors: | Padmanabhan, Balaji
Sen, Shahana
Tuzhilin, Alexander
White, Norman H.
Stein, Roger |
| Issue Date: | Dec-1996 |
| Publisher: | Stern School of Business, New York University |
| Series/Report no.: | IS-96-18 |
| Abstract: | We discuss information needs of marketers on the World-Wide Web and
present a classification of types of information one can possibly get
about Web site visits based on its ease of gathering. We then analyze
how information needs can be satisfied using different categories of
information gathered with these varying degrees of ease. We conclude
that, although some of the information needs of marketers can be
satisfied using data that can be automatically gathered with
state-of-the- art Web tracking methods, many others cannot. We also
discuss relevant issues and potential solutions to this problem. |
| URI: | http://hdl.handle.net/2451/14202 |
| Appears in Collections: | IOMS: Information Systems Working Papers
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