Practical Aspects of Log File Analysis for E-Commerce

Grzegorz Chodak () and Grażyna Suchacka

MPRA Paper from University Library of Munich, Germany

Abstract: The paper concerns Web server log file analysis to discover knowledge useful for online retailers. Data for one month of the online bookstore operation was analyzed with respect to the probability of making a purchase by e-customers. Key states and characteristics of user sessions were distinguished and their relations to the session state connected with purchase confirmation were analyzed. Results allow identification of factors increasing the probability of making a purchase in a given Web store and thus, determination of user sessions which are more valuable in terms of e-business profitability. Such results may be then applied in practice, e.g. in a method for personalized or prioritized service in the Web server system.

Keywords: Web server; log file analysis; statistical inference; e-commerce; B2C; Business-to-Consumer; Web store (search for similar items in EconPapers)
JEL-codes: C8 (search for similar items in EconPapers)
Date: 2013-06
New Economics Papers: this item is included in nep-ict and nep-mkt
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:48131

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