Monitoring web traffic source effectiveness with Google Analytics: An experiment with time series

Purpose – The aim of this paper is to develop a new user‐friendly in‐house tracking methodology for academics to analyse the effectiveness of visits (return visit behaviour and length of sessions) depending on their traffic source: direct visits, referring site entries and search engine visits. In other words, how deep do visitors navigate into the web site? Which is their internal performance depending on their traffic source?Design/methodology/approach – This paper addresses these questions by time series analysis of Google Analytics data. Some statistical matters with regard to the use of Google Analytics data in combination with time series methodology are fine‐tuned.Findings – Return visits are the main engine for nurturing session length, but which type of traffic source nurtures these return visits? In order to answer this question, an important distinction must be made between “total return visits” and “marginal return visits”. Site entries stay longer to the extent their “marginal return effectiv...