Can AI recommend the next best test to run after an A/B test?

Yes, 100%. After analyzing the data, AI identifies areas for further optimization and suggests new tests that could improve performance. For example, if a specific variation is performing well, AI might recommend testing additional changes related to that variation. This helps you stay ahead by continuously improving your strategy and ensuring that you’re always testing the most impactful elements.