A/B testing is a technique for analysing two distinct versions of a website or app to see which functions better. It is sometimes referred to as bucket testing or split testing. A/B testing is a trial in which users are randomly presented with two or more variations of a website. Statistical evaluation is applied to figure out which variation works better for a specific conversion objective.

The “control” or the primary testing variable is referred to as “A.” At the same time, B denotes a “variation” or updated version of the initial testing variable. The variant that improves the business’s metric(s) is referred to as the “winner.” You may enhance your website and boost business ROI by implementing the changes that are part of this winning variant on your evaluated page(s) or element(s). 

FAQs about A/B testing

Q1. What are the types of A/B testing?

Ans. The types of A/B testing are: 

1. Split testing: An entirely different version of the current web page is tested in split testing to determine which one performs better. 
2. Multivariate testing: In this type of A/B testing, numerous page variables are tried consecutively to determine which arrangement out of all the potential permutations works the best.
3. Multi-Page testing: In this testing, you test tweaks to specific items over numerous pages, such as the CTA button.

Q2. When should we use A/B testing?

Ans. A/B tests are implemented to boost conversions, enhance UI/UX, and maximise marketing strategies.

Q3. What is the rule of A/B test?

Ans. The fundamental rule of A/B testing entails that only a single design component can be changed at one time. This single element is referred to as a testing variable.