Lucas 同时启动了两个领英广告推广活动，并且在未使用 A/B 测试工具的情况下对比两者的效果。这两个推广活动定位相同的目标客户，并在广告竞价中争夺相同的展示机会。这种做法会有什么后果？

When two campaigns target the same audience and compete for the same ad impressions simultaneously, they enter into a bidding war against each other. This internal competition introduces statistical bias, as the campaigns are not operating independently. Each campaign's performance, particularly its win rate in auctions, will be artificially suppressed or altered by the presence of the other. This makes it impossible to accurately assess the true effectiveness of either campaign in isolation or to conduct a valid comparison without a proper A/B testing framework. The other options are incorrect because running multiple campaigns simultaneously does not guarantee better bidding results; successful reach is not guaranteed without interference; and the winning campaign is not always the one with the best content, as bidding dynamics play a crucial role.