Web Analytics to Improve Web Usability

Web analytic software gives necessary support to better recognize the user’s behavior, identify bottlenecks and errors in user interface design, measure performance of web platform, checking website availability or recommend good website content. These tools are based on tracking techniques and sophisticated algorithms that process and evaluate large volumes of captured data. Lot of platforms do not capture data about the user’s activity in the websites, click, mouse movement, etc. Some software does capture some of this user activity, but they only process the information visually showing heatmaps. In this paper we present a novel research approach for collecting all necessary data of the user activity in websites, showing this in formation quantitatively and allowing its automatic statistical analysis and the rapid understanding by web masters.