Answer
Conversion rate optimization (CRO) experiments are prioritized using frameworks like ICE (Impact, Confidence, Ease) or PIE (Potential, Importance, Ease), which score ideas based on expected lift, certainty, and implementation effort. High-traffic pages with poor performance are typically top candidates.
Teams also use data from audits, user feedback, and funnel analysis to identify high-impact areas. For example, a checkout page with a 70% abandonment rate is a stronger priority than a blog page with low traffic. Prioritization balances quick wins with strategic bets, ensuring a mix of short-term gains and long-term learning.