Lucas has launched two LinkedIn ad campaigns simultaneously and is comparing their results without using A/B Testing. Both campaigns target the same audience and are competing for the same impressions in the ad auction. What are the implications of this approach?

LinkedIn A/B Testing is designed to compare campaign variations without allowing them to interfere with each other in the auction. Running separate campaigns against the same audience can cause both campaigns to compete for the same impressions. That competition can create statistical bias because delivery and win rate are affected by auction dynamics, not only campaign performance. A controlled test provides a cleaner comparison by separating variants through the platform’s testing setup.