How does AI analyze data to form hypotheses?

AI analyzes data by spotting patterns and trends that might be hidden in large sets of user behavior. It looks at actions like clicks, time spent on pages, and where users tend to drop off. Once AI identifies these patterns, it suggests changes that could potentially improve conversions. For example, if AI notices that users tend to leave right before checkout, it might generate a hypothesis that improving the checkout flow could reduce drop-offs. AI continuously refines its analysis, so every hypothesis generated is more aligned with your users’ behavior, ensuring you focus on the right areas for improvement.