How to perform predictive analysis on your web analytics tool data - 2013 06 19
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When: June 19th, 2013
Education Level: Advanced
What: 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 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:
Part 1 (02m00s) - Analytics disciplines
Part 2 (06m02s) - What is R and why should you use this tool?
Part 3 (13m01s) - How to extract your Web Analytics data into R?
Part 4 (18m35s) - 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?
Part 3 (46m34s) - How to carry out insightful analysis through visualization?
Part 4 (54m28s) - Q&A Round
Who should watch: Every web analyst who wants to take his analysis to the next level.
Led Digital Marketing Efforts of Top 500 e-Retailers.
Worked with Top Brands at Leading Agencies.
Successfully Managed Over $50 million in Digital Ad Spend.
Developed Strategies and Processes that Enabled Brands to Grow During an Economic Downturn.
Taught Advanced Internet Marketing Strategies at the graduate level.
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