4.11 out of 5
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134 reviews on Udemy

A/B Testing and Experimentation for Beginners

Learn how to improve Landing Pages, Conversion Rate and Marketing ROI with AB Testing and Data Driven Decisions.
Instructor:
Anil Batra
592 students enrolled
English [Auto-generated]
A/B Testing is and how to use it to make better websites, ads and apps
Understand how experimentation help them make better decisions and hence improve marketing and conversions
Understand how you can improve conversion rates with A/B testing
Landing Page Optimization using A/B testing
Conversion Rate Optimization using A/B testing
Optimize Email Marketing with A/B testing

Learn what A/B testing is and how you can use it to make data driven decision to help your marketing, conversion rate and and customer experience. The course will cover fundamentals of A/B testing, provide you the process that you can use to start A/B testing today, along with some examples to get your creative juice going.

The applications for A/B testing are various, some of them are

  • Product Changes – Web, Desktop, Mobile
  • Marketing Messages
  • Landing Page Optimization
  • Creative design
  • Call to actions
  • Funnel conversions
  • Search Marketing
  • Conversion Rate Optimization (CRO)
  • Growth hacking
  • Learn how to setup an A/B test in Google Optimize

All major organizations such as Facebook, Google, Amazon, Microsoft, Twitter, etc. spend millions of dollars on A/B Testing. Understand the fundamentals so you can learn and apply too.

I have worked several major organizations and helped them deliver better marketing, better conversion and better customer experience using the content I will deliver in this course.

Why you should learn from me?

I have been in Digital Marketing and Analytics for over 15 years. I have trained people from diverse backgrounds and have converted them into high performing Digital Marketers and Analysts.  I understand both the technology and marketing side of business.  I have dealt with many analytics technologies way before Google Tag manager existed and know the inner working of Digital Analytics. 

I have extensively worked with companies like Microsoft, Starbucks, Wall Street Journal, ESPN, T-Mobile to name few and helped them with Data Driven Marketing Decisions.

In addition, I have developed various course and taught students from all over the world. I am online instructor for University of British Columbia (Canada), University of Washington (USA), Bellevue College (USA) and Digital Analytics Association.

I have an engineering degrees and an MBA.

Introduction

1
Introduction

A/B Testing and related terms and definitions

1
What is A/B testing

This lecture will teach you the definition of A/B testing. It is critical to make sure you understand the fundamental.

2
Why Random selection?
3
What is A/A Test?
4
How much traffic do you need?

This lecture explains the basics of amount of traffic you need to run an A/B test.

5
Test Your Knowledge

Some ideas for testing

1
A/B testing Ideas

A/B Testing Process

1
A/B Testing Process Overview
2
Finding Opportunities
3
What are Goals and Metrics?
4
Hypothesis and Opportunity Prioritization
5
Run and Analyze A/B Test

Google Optimize

1
Setting up Google Optimize
2
Running A/B testing in Google Optimize

In this lecture you will learn how to use Google Optimize to create and run your test.

3
Bonus Lecture
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Includes

1 hours on-demand video
1 article
Full lifetime access
Access on mobile and TV
Certificate of Completion