In October 2020, Google started to roll out Google Analytics 4 (GA4), billed as “the future of analytics”. Here, we outline in basic terms some of the differences from Universal Analytics (UA) and next steps you should take to maintian the integrity of your insight.
Data visualisation is all the rage. Some day in the near future, we will be done with spending endless amounts of time producing static reports in Excel, PowerPoint, and Word, instead working with eye-candy dynamic reports such as those provided by Google Data Studio, Microsoft Power BI, Tableau, and many others. These platforms allow diverse data sources to be linked in near real-time to a single report or dashboard, from where users can interact with the data.
Demand for ecommerce reports in Google Analytics seems to be on the rise. Having recently consulted on a full Google Analytics Enhanced Ecommerce implementation, I thought I would share some straightforward, limited-jargon insights into how to best set up Google Analytics ecommerce tracking.
“It lives, Igor!” Or so I wanted to shout out across the cafe as I was sitting working on my laptop. Probably best that I didn’t.
After months of architecture documents and repeating the phrase “from an analytics point of view…” as part of a website rebuild, it was time to put my process to the test.
Rome wasn’t built in a day. That’s as true if you are talking about an historic city, a megalithic software project, or a web analytics implementation.