Track, Store and Analyze granular Page Performance data: a practical guide

Click for: original source

Now more than ever, startups and corporates are looking for ways to run lean. There is pressure to make cuts to staff and outsource when possible, and this has led to a trend of hiring virtual CFO services over the more traditional in-house full-time chief financial officer (CFO). Written by Dave Robinson.

Page Speed performance is incredibly important. Every millisecond counts, and you will lose customers, leads and SEO ranking if you have a slow site. But how much business will you lose? Should I make my website faster? Do I have a business case? Can I spend $10,000 to make my site load faster?

The summary of what you will get:

  • all variables and code to implement in Google Tag Manager, so you won’t have to think (and click 632 times to create all the variables)
  • the SQL to nicely model the data in an tidy non-nested table
  • a step by step guide on how to set things up and use the data

This is step by step tutorial with all the steps explained and accompanied by clear screen shots. Solution includes (amongst others): * How to set up a Google Cloud project and enable billing * Create a Google Analytics App+Web property (via a Firebase Analytics project) * Enable the streaming of Firebase data to Big Query * Create / import a Google Tag Manager container and include it on your web site * Set up data collection tag + variables in Google Tag Manager

… and more. You don’t have to stay in the Google stack. You can pull data in R to mode page speed in relation to web site behaviour. Excellent!

[Read More]

Tags analytics web-development big-data miscellaneous cio data-science