What's the difference between AI-driven CRO and traditional CRO?

AI-driven CRO basically relies on advanced algorithms and data analysis to automate and personalize optimization processes. It further uses machine learning to analyze user data, predict behaviors, and adjust strategies. On the other hand, traditional CRO is more manual, often relying on periodic A/B testing and human analysis to identify optimization opportunities. AI-driven CRO obviously offers better precision, data-backed decisions, and enables businesses to scale their efforts quickly. And while traditional methods require more time and effort, AI automates the process and provides ongoing insights, making it definitely more efficient and effective in the long run.