A/B testing, also known as split testing, is a method used in digital marketing and product development to compare two versions (A and B) of a webpage, email, app, or other digital content. The goal of A/B testing is to determine which version performs better in terms of specific metrics such as click-through rate, conversion rate, or user engagement.
Practice of tailoring the online shopping experience to the individual needs and preferences of each customer. It involves using data and technology to create a personalized experience for each shopper, with the goal of increasing engagement, loyalty, and sales. Personalized product recommendations, content, pricing, messaging and others.