10 posts about

Experimentation

Visual editors are the superheroes of website optimization, but they also have drawbacks. In this post, you will learn the pros and cons of using them, and alternatives to prioritize performance.

Did you ever have your boss push you back on AB testing? This article will give you all the arguments you need to show why this is a must for any data-driven marketing approach these days!

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Many CRO teams perform AB tests daily. Some professionals learn extra tech skills to become autonomous and code their own experiments. But wearing too many hats shouldn't be the industry standard.

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AB testing the content on your website allows for data-driven decision-making and improves user experience. Ready to start taking advantage of it? Start now by reading our guide.

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No one can argue that introducing personalization to your marketing strategies can take your results to a new level. Now, it's time to learn how you can really change the game by combining it with AB testing.

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This AB testing template is all you need for planning and documenting experiments. It will help you estimate tests duration, prioritize the right ideas in your backlog, and come up with new ones.

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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.

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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.

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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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