An e-shop log file analysis toolbox
Anthony Christos Boucouvalas, Constantine J. Aivalis · 2010
Most e-commerce applications are implemented without any significant means of built-in performance measuring mechanisms, although responsiveness is a major factor for high revenue. Often, overall response times increase without the administrators even noticing. It is therefore crucial to have a precise measuring system that also reports customer behavioral patterns. We created a customizable e-commerce log file analyzer that measures performance mainly through combining a mix of log file data with e-shop information. It is capable of supporting multiple e-shops and can perform cross comparisons between them. It is easy to use and the software is extendable in order to support different web server architectures. It displays patterns taken by the user interaction with the e-shop and allows the administrators to locate less visited pages and make improvements or promote them better. This way an e-shop may benefit since it may lead to higher user satisfaction and profitability. The administrator can regularly study the readings and take the appropriate actions, if overall performance decay is observed.