Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
In this guide, I will provide you with everything you need to set up your own SEO split tests with Python, R, the CausalImpact package and Google Tag Manager.
I have built this tutorial to show you how you can set-up an SEO test on Meta Descriptions and Meta Titles from scratch.
You will learn a lot of stuff here:
- How to extract your Google Analytics Data using Python;
- How to create your control and test group using stratified sampling;
- How to change your tags in Google Tag Manager;
- How to run your test with CausalImpact.
This guide is an advanced SEO tutorial, but I will walk you through each step carefully.
Here are the links for the complete tutorial.
SEO Split-Testing Guide [Step-by-step]
Here are the four simple steps to make your own split-testing experiment using Python, Google Analytics, Google Tag Manager, R, and CausalImpact.
Step 1: Install Python and R Using Anaconda
Step 2: Stratified Sampling Using Google Analytics + Python
Step 3: SEO Split-Testing Experiments using Google Tag Manager
Step 4: CausalImpact for SEO [Complete DIY SEO Experiment]
What is SEO split testing?
SEO Split-testing is a type of A/B Testing that compares buckets of pages against each other to evaluate which group performs better in organic searches of search engines like Google.
A/B testing is a method of comparing two versions of a webpage against each other to determine which one performs better.
Why SEO Split Testing?
Ever since Distilled has started talking about SEO A/B Testing, the CausalImpact package for R grew in popularity in the SEO community. Many, many posts were written on the virtues of SEO Split Testing. If you want to get hooked, just watch this series of videos by Dominic Woodman.
What You Need To Get Started
No guides out there really shows the steps to implement SEO Split Test by yourself.
This is because it can get quite tricky to do it.
To make SEO split tests you need to know a few things:
- Understand how to CausalImpact Package works;
- Basic Knowledge of Python (Learn Python SEO);
- Basic Knowledge of R (learn R on DataCamp);
- Understand how to connect to the Google Analytics API;
- Knowledge of Google Tag Manager;
- Basics of A/B Testing statistical analysis to interpret your Data (view video by Emily Potter);
Don’t worry, this guide is a step-by-step guide that will walk you through each step without too much hustle.
What you will absolutely need though is this:
- Have Python and RStudio installed with Anaconda;
- Have Google Tag Manager Installed in Your Website.
Tl;DR
In this guide, you’ll cover a lot of grounds.
If you feel like you need to learn Python SEO or you need to understand SEO Split Testing better, there are plenty of resources available for you.
You are now ready to run your first SEO Split Test using Python, R, CausalImpact, Google Analytics, and Google Tag Manager.
Sr SEO Specialist at Seek (Melbourne, Australia). Specialized in technical SEO. In a quest to programmatic SEO for large organizations through the use of Python, R and machine learning.
L’article SEO Split Test Using Python + CausalImpact + Tag Manager est apparu en premier sur JC Chouinard.
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.