A/B 测试可能出现的结果有哪些？

A/B testing aims to identify the better-performing variant. Therefore, the possible outcomes are: identifying a clear winner ("已确定效果最佳的推广活动"), finding that both variants perform similarly ("表现相似"), or concluding that there isn't enough data or a statistically significant difference to declare a winner ("无定论"). "通过或失败" (pass or fail) is too simplistic and doesn't capture the nuance of performance comparison. "积极、中立或消极" (positive, neutral, or negative) describes the sentiment or general impact, not the comparative outcome of an A/B test. "有结论或未完成" (conclusive or incomplete) is also too broad; "无定论" specifically refers to a test that didn't yield a statistically significant difference, not just one that hasn't finished.