VWO Conversion Rate Optimization

Challenge

VWO had high traffic but struggled with conversion. The team was running ad-hoc tests without a systematic framework. Buy Now Pay Later (BNPL) adoption was low, limiting potential revenue uplift.

Solution

Built an end-to-end experimentation framework including power calculation, sample size estimation, and statistical rigor requirements. Designed and ran 50+ experiments systematically across checkout flow, payment methods, and trust signals. Specifically optimized BNPL positioning and made it the default for qualifying customers.

Key Learnings

• •Statistical rigor prevents costly mistakes—we caught several false positives early because we had proper sample sizing
• •Customer segments respond differently—checkout optimization that works for Tier 1 cities didn't work for Tier 2
• •Velocity + rigor is possible—we ran experiments weekly without sacrificing statistical validity
• •Behavioral patterns matter more than demographic segments in optimization

Technologies Used