Data Runs Deep Blog

Transaction tracking is often the key stone data set for reporting purposes, providing attribution to marketing spend, user value and detail breakdowns of how a website/application is performing.

A while back I posted a blog explaining how to create custom conversion rates and funnels

For all the analysis that we do, for all the numbers and dashboards we look at, it's all ostensibly towards one purpose - improving website performance. 

Gaining further understanding of your users is always worthwhile, and in getting deeper levels of understanding we tend to think of things like UI design and the dreaded “are people scrol

If you have worked with a website that uses iframes then its likely you have felt the tracking pain points that arise. Generally you will encounter one or all of the following:

Pivot tables are my preferred method of presenting scroll depth, due to them being easy to create and the most effective way of reporting insights.

Occasionally, we write R scripts to pull and manipulate data from Google Analytics and put it back into BigQuery.

I have been using Data Studio for around 2 years now, and somehow I have never had to make a chart displaying the session duration buckets found in the Audience Engagement reports.

It's May 25th, 2018 which can mean only two things: that we made it to GDPR day without collectively collapsing in on ourselves, and that the next 24 hours will literally be the most difficult time

Have you been thinking, "I wish there was a free icon set I could use for my Data Studio dashboards, that came in several different colour sets, and that I could use completely free of cha