A/B testing
Fast track (Summarised definition)
A/B testing is a method of comparing two versions of a webpage, email, or advertisement to determine which performs better by showing different versions to similar audiences simultaneously. This controlled experiment uses statistical analysis to measure performance differences and make data-driven decisions about optimisation strategies, helping businesses improve conversion rates through evidence-based improvements.
Full lap (Full definition)
A/B testing is a method of comparing two versions of a webpage or app against each other to determine which one performs better. It is essentially an experiment where two variants, A and B, are shown to users at random, and their behavior is monitored to see which version leads to a better outcome.
The primary goal of A/B testing is to improve user experience, increase conversion rates, and optimize marketing efforts. By testing different elements like headlines, call-to-action buttons, images, and layouts, businesses can identify what resonates most with their audience. This data-driven approach allows for informed decisions, moving away from guesswork and intuition.
The process typically involves identifying a specific goal, formulating a hypothesis, creating variations, running the test, analyzing the results, and implementing the changes. The results provide insights into user behavior and preferences.
A/B testing is widely used in various fields, including web design, marketing, and product development.
