"ab testing"

A/B testing (which is also sometimes known as split testing or bucket testing) allows you to compare the performance of two versions of a web page or app to see which one performs better for a defined success metric or conversion.

What is a false positive? A false positive (Type 1 Error, False Positive Error) in AB testing indicates whether the difference between variations was due to the alterations or to other noise. A high confidence level helps to prevent these false positives. Industry standard is for a 95% confidence level, leaving a 5% chance that […]

Number one in a series explaining and demoing various aspects of Conversion Rate Optimisation.

A control group in an experiment is a critical component used as a benchmark or reference point for comparison against other groups undergoing specific treatments or interventions. In Conversion Rate Optimization (CRO) or any experimental study, the control group remains unchanged or receives the standard treatment, serving as a baseline against which the effects of […]

Google Optimize, a website optimization tool offered by Google, was sunsetted after serving as a platform for businesses and marketers to conduct A/B testing and personalize their websites. It allowed users to experiment with different variations of web pages, testing elements such as headlines, images, call-to-action buttons, layouts, and sections of the page to determine […]

A/B testing is a statistical method used to compare two versions of a product, advertisement, or webpage to determine which one performs better. The method involves randomly dividing a target audience into two groups, A and B, and exposing each group to a different version of the product or advertisement. The performance of each version […]