A/B testing

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A/B testing

A/B testing is a research and experimentation method used to compare two versions of a piece of content, design, or communication to determine which performs better. In an A/B test, respondents are randomly split into two groups: one group is shown version A, while the other is shown version B. Researchers then measure and compare responses or behaviours between the two groups.

This technique is commonly used to evaluate marketing messages, website designs, advertisements, email campaigns, or product features. By testing small variations between two options, organisations can identify which version is more effective in achieving a particular goal, such as increasing engagement, improving conversion rates, or strengthening brand appeal.

A/B testing is particularly valuable in digital environments, where different versions of content can be easily presented to different audiences and results can be measured in real time. The use of random assignment helps ensure that any differences in results are due to the variation being tested rather than other external factors.

In market research, A/B testing provides a data-driven approach to decision-making, allowing organisations to optimise communications, user experiences, and marketing strategies based on evidence rather than assumptions.

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