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Multiple Choice

What is audience overlap and how does it affect measurement in Amazon Ads?

Audience overlap happens when the same users belong to more than one targeting audience. In measurement, this matters because a user who appears in multiple audiences can be counted more than once, which can skew impressions, conversions, and overall reporting accuracy. The best approach is to manage overlaps by excluding overlapping audiences or by using reporting and pacing options that are designed to handle overlap, so metrics reflect unique reach and avoid double-counting. The other statements don’t fit because overlap does not reduce overlap, it is defined by shared users, and it can impact reporting accuracy; disjoint sets would mean no overlap.

Audience overlap happens when the same users belong to more than one targeting audience. In measurement, this matters because a user who appears in multiple audiences can be counted more than once, which can skew impressions, conversions, and overall reporting accuracy. The best approach is to manage overlaps by excluding overlapping audiences or by using reporting and pacing options that are designed to handle overlap, so metrics reflect unique reach and avoid double-counting. The other statements don’t fit because overlap does not reduce overlap, it is defined by shared users, and it can impact reporting accuracy; disjoint sets would mean no overlap.