R and Google Analytics Use Cases

Introduction

Your web analytics data is trapped! Google Analytics provides you with a handful of built-in reports and features, but your data has so much more potential. Fortunately, the data-oriented programming language, R, can easily connect to Google Analytics and produce results that go far beyond the features of GA. Furthermore, R provides operational benefits to analytics teams who wish to collaborate on reproduceable analyses.

Examples

• Quantifying the impact of events on time series data using the CausalImpact library: Tutorial / Code
• Google Analytics audits via scripted R Markdown file: Output / Code
• Recreating the Google Analytics explorer graph & table in R: Output / Code
• Exploring GA segment overlap with Venn diagrams: Output / Code
• Running Market Basket Analysis with GA data: Blog Post / Code
• Revese Path Analysis: Demo / Code
• Pulling Google’s web vital metrics from GA: Output / Code. Assumes that these metrics exist in GA using the process described in this blog post

TODO

• Slide output to automate monthly reporting
• Google Cloud Runner demonstration to automate processing
• Basic statistical tests
• Joining data from multiple sources
• Advanced segments + comparing greater than 4 segments at a time
• Anomaly detection
• Offline A/B testing
• Working with unsampled data
• Working with GA in R Studio Cloud