9 posts about

A/B testing

A page with green content is connected to two pages: one yellow and one blue, the yellow one is represented by an emoji of a cat and the blue one of a dog that signify the personalization by interest that will guide each user to one page or another.

Besides providing unique experiences to users, a personalized website gives you flexibility and agility to not depend entirely on developers. With PMS, personalization is easy and intuitive. Read in this post how to use it to implement and manage dynamic content on your website.

Croct logo surrounded by 4 figures each representing CMS, Personalization, AB Tests, and Analytics

Traditional CMS platforms have long made the job of marketers and IT professionals easier. However, consumer expectations for online experiences have changed in recent years, and static content is no longer enough to keep a website well optimized. Meet PMS, a solution to deliver advanced personalized experiences to your users.

A person's head with a target represents a brand's positioning. On one side of the head there is hypothesis A and, on the other side, hypothesis B, representing an AB test.

Product positioning refers to how your product differs from others. What problems does it solve? Why is it better than the competition? This post helps you understand how to work with positioning testing and how to validate your hypothesis.

Purple image with a woman and some charts

With more and more companies investing in Product Growth, running AB tests became a promising strategy for leveraging digital products.

Green image showing a spreadsheet and an AB test representation.

We've designed a free template in a spreadsheet format and a step-by-step guide to help you plan your AB tests. Feel free to download it and share it with your friends!

Grey image with engines, charts, and a representation of AB testing.

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.

Purple image with a representation of a Bayesian analysis..

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 both representations of 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.

Purple image with a book and a representation of AB testing.

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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