Audience overlap is different ad sets reaching the same users. When two sets in the same account target the same person, you compete against yourself in the platform's auction; cost rises and, because results are split across the sets, none of them collects enough data. It is measured with the panel's overlap report.
The most common mistake is running lookalike sets and broad targeting at the same time; both draw from the same pool. The second is stacking interest-based sets on top of each other. The practical rule is to simplify the campaign structure and separate audiences with exclusion rules: exclude buyers from acquisition sets and cart adders from upper-funnel sets. Complex multi-set structures no longer offer an advantage; on most accounts they hurt, because they stretch out the learning phase.
The most common mistake is running lookalike sets and broad targeting at the same time; both draw from the same pool. The second is stacking interest-based sets on top of each other. The practical rule is to simplify the campaign structure and separate audiences with exclusion rules: exclude buyers from acquisition sets and cart adders from upper-funnel sets. Complex multi-set structures no longer offer an advantage; on most accounts they hurt, because they stretch out the learning phase.
The most common mistake is running lookalike sets and broad targeting at the same time; both draw from the same pool. The second is stacking interest-based sets on top of each other. The practical rule is to simplify the campaign structure and separate audiences with exclusion rules: exclude buyers from acquisition set…
Knowing the term is not enough; you need to know which lever to pull. In a free 30-minute call we look at your store's actual numbers.
Get a free analysis