A walkthrough of the most common statistical pitfalls that marketers encounter in CRO testing.
Statistical forecasting is a powerful tool that’s been used at Distilled for a while, both by consultants when analysing client data and by our in-house monitoring tool that alerts us to problems with client sites. In this post, I’m publicly launching a free forecasting tool that I spoke about last week at BrightonSEO, and explaining how to make best use of it.
In this post I’ll pull apart four of the most commonly used metrics in Google Analytics, how they are collected, and why they are so easily misinterpreted.
Back in December 2013, I wrote a tutorial post showing how to find basic analytics data in Omniture, and explaining differences in terminology between Omniture and Google Analytics. Both platforms have seen some changes since then, so this refresh restores the guide to its original usefulness.
Out of the box, Google Analytics handles being deployed across multiple domains or subdomains extremely poorly. This quick easy post covers what you should be doing and how to do it.