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It is widely known that traditional web analytics have been a great way to optimize/analyse your website visitor metrics. Many analytics tools, like Google Analytics, are available there and enable you to track basic metrics from your website with ease. Although, most of the time these tools provide data at aggregate level which limits the understanding of interplay amongst different variables.
With predictive analytics, you can explore the hidden relationship between many independent variables (e.g. pageviews per visit, quality score of keyword, time of visit), in order to see how these variables affect your KPIs like revenue & transactions.
During the webinar we will help you to understand the real value of predictive analytics when applied on web analytics data to help improve your understanding relationship between different variables.
From this webinar, you will get to know:
What is R and why should you use this tool? How to extract your Web Analytics data into R?
How to build a predictive model using web analytics data with the help of R?
How predictive modelling can take your analysis to the next level?
How to carry out insightful analysis through visualization?