Advanced A/B Testing Course — XP² Learning Center
2026-02-28 19:06 Diff

Advanced Experimentation Course

This course is designed for practitioners who already understand the foundations of experimentation and want to dive deeper into the implementation methods, calculations, setup, and analysis of experiments. 

9 Lessons

Lesson 1

Client-side testing and personalization explained

An in-depth analysis of the most important technical considerations when implementing A/B tests and personalization campaigns on the client-side.

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Director of Enterprise Solution Engineering, Dynamic Yield

Lesson 2

Server-side testing and personalization explained

An in-depth analysis of the most important technical considerations when implementing A/B tests and personalization campaigns on the server-side.

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Director of Program Strategy and Insights, Dynamic Yield

Lesson 3

The Frequentist Approach to A/B Testing

While still commonly used today, is the Frequentist Approach to statistical inference within A/B testing the most effective? Let’s dive into the math.

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Director of Program Strategy and Insights, Dynamic Yield

Lesson 4

The Bayesian Approach to A/B Testing

Known for being less restrictive, highly intuitive, and more reliable, let’s dive into the math behind the Bayesian Approach to statistical inference and find out why.

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Director of Experimentation Strategy at Widerfunnel

Lesson 5

The role of optimization analytics in experimentation

From ideation to execution and analysis, data and analytics can support marketers at every turn, turning any business into an insights-driven industry leader.

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Data Science and Predictive Modeling Expert

Lesson 6

Why session-based attribution is flawed in A/B tests

To yield more actionable results, marketers should move away from session based attribution and start measuring A/B tests based on revenue per user.

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VP of Product, Dynamic Yield

Lesson 7

Choosing the right optimization KPI for your A/B tests

By addressing some common A/B testing pitfalls and introducing more reliable approaches to measuring the efficacy of your experiences, you can be sure to optimize for success.

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Lesson 8

The complex nature of running multivariate tests

How multivariate tests render impractical insights and what other solutions you can run for more optimal results.

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VP of Product, Dynamic Yield

Lesson 9

Outliers detection in A/B testing

Huge deviations in site behavior may be leading to unintended consequences in your A/B testing campaigns. Here’s how to reconcile them.

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