Data Runs Deep Blog

At Data Runs Deep we require our Google Cloud Platform (GCP) team to all hold the Professional Data Engineer certification.

On Friday November 30th, we'll be listening to Africa by Toto. 

All day. 

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.