Track page speed, ad inventory, browser width/height and errors? All that is possible by realizing that Google Analytics lets you feed in arbitrary data and then allowing you to slice it to get new insights.
I’ll cover to interface with Google Analytics by creating fake URLs as well as using custom variables with examples on:
As well as some insight into what we have found out by tracking these things. (Fastest browser, impact of page speed to exit rate)
Also learn how to use advanced segments, custom reports and the API to make sense of the data.
Artur Bergman is the Founder and CEO of Fastly.