如果在不使用 A/B 测试平台的情况下开展两个仅有一个变量不同的推广活动，可能会发生什么？请选择两项

When running two campaigns with only one variable different without an A/B testing platform, it's highly probable that some members will be exposed to both campaigns. This happens because without a controlled testing environment, you can't guarantee distinct audience segmentation for each campaign. This overlap directly leads to statistical bias in member selection. If the same individuals see both versions, their response to one might be influenced by the other, or they might react differently than if they had only seen one. This makes it impossible to isolate the true impact of the single variable being tested, rendering the comparison invalid and the results unreliable for drawing accurate conclusions about which variable performed better.