Several factors, including the volume of incoming traffic and the desired confidence level in results, determine an A/B test's duration. It's not merely about letting the test run for a set period; it's about capturing sufficient data to draw reliable conclusions. Ensuring statistical significance is pivotal, as this minimises the possibility that observed differences arose by random chance. Specialised tools and calculators are available that help determine the optimal test duration and validate the statistical significance of results.