4 posts by

Bernardo Favoreto

A website wireframe. The left side is green and has the letter A on it, and right side is purple and has the letter B on it.

In this last post of the series, we'll take a closer look at how Croct's AB testing engine works, covering the most relevant factors in declaring a winner variant.

A graph representing the Bayesian analysis probability distribution.

From the hypothesis to the conclusion, this detailed technical overview of the Bayesian approach to A/B testing explains the terminology, math, and concepts behind the method.

Grey image with graph representations of both Bayesian and frequentist approaches.

When it comes to AB testing, Bayesian and frequentist methods have inherent advantages and disadvantages. Let's look at how they work and which approach is right for you.

An open book linked to two wireframes, one with the letter A on it, and the other one with the letter B. Wireframe A has a trophy in front of it, indicating it is the winner of the test.

Conversion rate optimization is all about AB testing. Whether you're a beginner or a seasoned pro, this comprehensive guide will be a valuable resource for you.

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