Time Series Modeling on Web Analytics
Mohammad Amin Omidvar, Vahid Reza Mirabi, Narjes Shokry · ASME Press eBooks · 2011
The aim of this paper is to develop a flexible methodology to analyze the effectiveness of different variables on various dependent variables which all are times series. This survey shows how to use a time series regression on one of the most important and primary index (page views per visit) on Google analytic and in conjunction it shows how to use the most suitable data to gain a more accurate result. There are too many data available on web analytics which are overwhelming for data analyzer. With this method, more accurate results are available. This methodology is critical for effective website monitoring and benchmarking that may lead to better website strategies. The value of this paper relies on introducing and using a systematic flexible methodology to analyze visitors' behavior and their impact on page view. Additionally this methodology can be used to analyze other time series variables.