Andre 正在使用领英的实验工具针对其推广活动的两个不同版本进行 A/B 测试。测试结束后，他看到的 p 值为 0.03。这个 p 值对他的推广活动而言说明了什么？

A p-value of 0.03 means there is only a 3% probability that the observed difference in performance between the two ad versions occurred by random chance. This indicates a statistically significant difference, suggesting that the variations in the ad creatives or targeting likely caused the performance difference, rather than just luck. Therefore, Andre can be reasonably confident that one version is genuinely performing better than the other. The other options are incorrect because: a p-value does not indicate equal performance; it does not directly represent campaign effectiveness as a percentage; and a p-value of 0.03 is generally considered statistically significant, meaning the results are conclusive enough to draw a conclusion without re-running the test.