You work on a B2B SaaS product and want to test a new pricing page intended to improve trial or demo conversion. The page may change how prospects interpret plans and value, so you care not just about top-of-funnel lift but also about downstream quality and whether early gains are stable.
Walk me through how you would design, launch, and analyze this pricing page experiment end to end. How would you define success, size the test, choose the randomization unit, and decide whether to ship?
Hypothesis articulation for a pricing-page A/B testPrimary metric and guardrail selectionPower analysis with explicit MDERandomization-unit choice and contamination risksAwareness of peeking, novelty, and sample ratio mismatch