Learn to AB test like a professional
- Marketing
- Feb 21, 2025

Learn to A/B test like a professional, available at $59.99, has an average rating of 3.83, with 60 lectures, 1 quizzes, based on 206 reviews, and has 1412 subscribers.
You will learn about How to run effective A/B tests that increase a website's profitability. From planning and preparation, through to implementing experiments and understanding the results. This course is ideal for individuals who are SME owners and marketers It is particularly useful for SME owners and marketers.
Enroll now: Learn to A/B test like a professional
Summary
Title: Learn to A/B test like a professional
Price: $59.99
Average Rating: 3.83
Number of Lectures: 60
Number of Quizzes: 1
Number of Published Lectures: 58
Number of Published Quizzes: 1
Number of Curriculum Items: 64
Number of Published Curriculum Objects: 62
Original Price: £149.99
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
By the end of this course you’ll have a clear understanding of A/B testing and how it fits into the overall conversion rate optimisation (CRO) process. You’ll be able to set up and run A/B tests that will help you to improve your website’s conversion rates.
A large number of A/B testing courses out in the marketplace just show you how to set up and run A/B tests. This is all well and good, but they tend to miss out on critical elements within the whole process – like setting and measuring goals, gathering insights and creating problem statements and hypotheses.
In this course I take you through the entire A/B testing process, incorporating:
Setting a baseline and goals;
Gathering insights;
What the different types of experiment are;
What you should do before, during and after running an A/B test
Documenting your experiments.
The course is suitable for both beginners and people with digital marketing experience.
It’s ideal if:
You want to start running A/B tests but don’t know where to start.
You already work in marketing and want to expand your knowledge.
You run a small or medium-sized business and want to increase your sales.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Course overview
Lecture 2: Tip to finish the course in less time
Chapter 2: A/B testing and the optimisation process
Lecture 1: Introduction
Lecture 2: Insight gathering
Lecture 3: Testing and iteration
Lecture 4: Targeting and personalisation
Chapter 3: Measuring success
Lecture 1: Introduction
Lecture 2: The importance of a measurement framework
Lecture 3: Knowing your top-level business objectives
Lecture 4: Primary vs secondary metrics
Lecture 5: Documenting objectives and goals
Lecture 6: Setting a baseline
Chapter 4: Insight gathering
Lecture 1: Introduction
Lecture 2: Quantitative and qualitative data
Lecture 3: Analytics insights
Lecture 4: Heuristic analysis
Lecture 5: Customer surveys
Lecture 6: Live chat
Lecture 7: Session replay
Lecture 8: Online user testing
Chapter 5: Testing and iteration
Lecture 1: Introduction
Lecture 2: A/B testing
Lecture 3: Multivariate testing
Lecture 4: Multi-page testing
Lecture 5: Split URL or redirect testing
Lecture 6: Which types of testing should I do? All of them?
Chapter 6: Before testing
Lecture 1: Introduction
Lecture 2: Building your team
Lecture 3: Experiment planning
Lecture 4: Prioritising experiments
Lecture 5: Why you need a problem statement
Lecture 6: Creating a hypothesis
Lecture 7: Generating ideas to test
Lecture 8: Choosing which segments to target
Lecture 9: Quality assurance
Lecture 10: Creating an A/B test
Lecture 11: Setting objectives for your A/B test
Lecture 12: Targeting your visitors
Chapter 7: During testing
Lecture 1: Introduction
Lecture 2: Knowing when to stop an experiment
Lecture 3: Understanding p-value
Lecture 4: Significance and sample size calculators
Lecture 5: One-tailed versus two-tailed tests
Lecture 6: Understanding validity
Lecture 7: Amending experiments while they are in progress
Lecture 8: The correct way to ramp up traffic volumes
Chapter 8: After testing
Lecture 1: Introduction
Lecture 2: Analysing and interpreting experiment results
Lecture 3: What to do if a variant loses
Lecture 4: Running experiments as series, not in isolation
Lecture 5: Maintaining an experiment backlog
Chapter 9: Documenting your A/B tests
Lecture 1: Introduction
Lecture 2: The test plan
Lecture 3: The test prioritisation planner
Lecture 4: The test report
Lecture 5: The test results template
Lecture 6: The test scheduler
Lecture 7: Bonus lecture
Instructors

Andrew McKenna
Conversion Rate Optimisation Specialist
Rating Distribution
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
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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