Analysis of Web Site Usage Data: How Much Can We Learn About the Consumer from Web Logfiles?

33 Pages Posted: 15 Oct 2008

See all articles by Balaji Padrnanabhan

Balaji Padrnanabhan

New York University (NYU)

Shahana Sen

Fairleigh-Dickinson University

Alexander Tuzhilin

New York University (NYU) - Leonard N. Stern School of Business; New York University (NYU) - Department of Information, Operations, and Management Sciences

Norman White

New York University (NYU) - Leonard N. Stern School of Business; New York University (NYU) - Department of Information, Operations, and Management Sciences

Roger Stein

Sloan School of Management, MIT

Date Written: December 1996

Abstract

We discuss information needs of marketers on the World-Wide Web and present a classificationof 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 informationgathered with these varying degrees of ease. We conclude that, although some of the informationneeds 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 potentialsolutions to this problem.

Suggested Citation

Padrnanabhan, Balaji and Sen, Shahana and Tuzhilin, Alexander and White, Norman and Stein, Roger, Analysis of Web Site Usage Data: How Much Can We Learn About the Consumer from Web Logfiles? (December 1996). Information Systems Working Papers Series, Vol. , pp. -, 1996. Available at SSRN: https://ssrn.com/abstract=1284819

Balaji Padrnanabhan

New York University (NYU) ( email )

Bobst Library, E-resource Acquisitions
20 Cooper Square 3rd Floor
New York, NY 10003-711
United States

Shahana Sen

Fairleigh-Dickinson University ( email )

1000 River Rd
Florham Park, NJ 07666
United States

Alexander Tuzhilin

New York University (NYU) - Leonard N. Stern School of Business ( email )

44 West 4th Street
Suite 9-160
New York, NY NY 10012
United States

New York University (NYU) - Department of Information, Operations, and Management Sciences

44 West Fourth Street
New York, NY 10012
United States

Norman White

New York University (NYU) - Leonard N. Stern School of Business ( email )

44 West 4th Street
Suite 9-160
New York, NY NY 10012
United States

New York University (NYU) - Department of Information, Operations, and Management Sciences ( email )

44 West Fourth Street
New York, NY 10012
United States

Roger Stein

Sloan School of Management, MIT ( email )

100 Main Street
E62-416
Cambridge, MA 02142
United States

HOME PAGE: http://www.rogermstein.com

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