Meaningful price A/B testing requires three prerequisites: controlling variables, establishing judgment criteria, and accumulating sufficient sample size. First, change only one condition per test (for example, adjust unit price only while keeping other conditions like payment method, MOQ, and delivery time constant), otherwise results cannot be attributed accurately. Second, decide before testing begins what numbers represent "this option wins"—for example, inquiry conversion rate, average order value, or ratio of customers initiating follow-up inquiries—rather than selecting favorable metrics after the test. Third, ensure samples are sufficiently distributed to avoid a single large customer's behavior skewing results. When judging outcomes, prioritize the combination of conversion rate and profit margin rather than just which option generates more orders—high-volume orders at low prices may produce thin margins and not benefit the enterprise. If the entire testing process data is centralized in records, subsequent review and strategy adjustments will have a solid foundation.