A/B Testing

A method of comparing a control version against one or more variations to determine which one performs better in terms of user engagement or conversions. A/B testing relies on statistical analysis to determine which version yields the most favorable outcome, often employing tools like Optimizely, Iris, Convert or VWO to facilitate the process.