Marketing Automation · Step 6 of 7
A/B Testing with AI
Learn to design one-variable A/B tests, draft variants with AI, and read significance correctly — without faking a win.
What you’ll walk away with
- Design a single-variable test with a real, sufficient sample size instead of guessing
- Spot the common false-positive traps that make test results look valid when they aren't
- Use AI to draft test variants quickly while keeping the test's one variable isolated
- Calculate and interpret statistical significance with AI assistance so you know when a result is real
- Set up a simple tracking template to monitor a test without introducing tracking errors
- Launch your own A/B test end-to-end using the course's Try It exercise
Where this leads
Marketing Automation Specialist
You automate the campaigns and reporting that eat your week — lead scoring, sequences, content, and dashboards you can trust.
Questions people ask before they start
Do I need a statistics background to take this course?
No. The course walks through calculating and interpreting significance with AI, so you don't need to already know the formulas — you need to understand what the numbers mean, which the course covers directly.
Will this teach me to use a specific A/B testing tool or platform?
No. The course teaches the underlying skill: designing a valid test, drafting variants with AI, and using a simple tracking template. It's platform-agnostic, focused on the thinking and process, not a specific tool's interface.
What exactly are the 'false-positive traps' the course covers?
The 'Common False-Positive Traps' lesson covers the mistakes that make an invalid test look like a winning result — things like testing too many variables at once or stopping a test too early. The course teaches you to recognize and avoid these before you draw conclusions.
Does the course end with just theory, or do I actually run a test?
You run one. The final lesson, 'Try It: Design and Launch Your Test,' has you apply the full process — design, variants, tracking, and significance — to a real test you launch yourself.
How does AI fit into this if A/B testing is a statistics topic?
AI is used in two concrete places in the curriculum: drafting your test variants, and helping calculate and interpret significance. It's a tool to speed up and clarify those two steps, not a replacement for the test design principles taught in Module 1.
What's the 'simple tracking template' — do I need special software?
It's a lightweight template taught in its own lesson to help you log and monitor test results consistently, specifically to avoid the tracking mistakes that lead to false positives. No special software is required.
Module 1: Designing a Valid Test
- One Variable, Real Sample Size Free preview
- Common False-Positive TrapsPro
- Drafting Test Variants With AIPro
Module 2: Running and Reading Results
- Calculating and Interpreting Significance With AIPro
- A Simple Tracking TemplatePro
- Try It: Design and Launch Your TestPro