Tracking Time on Page in Web Analytics

Abstract

This thesis explains some known Web analytics issues with tracking time on page and attempts to build a new functionality to make the metric more accurate and reliable. In the course of this work, a new solution is developed on top of an existing Web analytics software called Plausible Analytics. The functionalities programmed by the author were written in JavaScript on the front end and in Elixir on the Backend. The development process is described step by step, bringing up the most important functionalities built and the reasoning behind some implementation choices. Finally, the thesis assesses the performance of the delivered solution by gathering data from the Plausible website.