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Practical Aspects of Log File Analysis for E-Commerce

Author

Listed:
  • Chodak, Grzegorz
  • Suchacka, Grażyna

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.

Suggested Citation

  • Chodak, Grzegorz & Suchacka, Grażyna, 2013. "Practical Aspects of Log File Analysis for E-Commerce," MPRA Paper 48131, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:48131
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    File URL: https://mpra.ub.uni-muenchen.de/48131/1/MPRA_paper_48131.pdf
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    Citations

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    Cited by:

    1. Grażyna Suchacka & Grzegorz Chodak, 2017. "Using association rules to assess purchase probability in online stores," Information Systems and e-Business Management, Springer, vol. 15(3), pages 751-780, August.

    More about this item

    Keywords

    Web server; log file analysis; statistical inference; e-commerce; B2C; Business-to-Consumer; Web store;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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