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Amazon DSP: Audience Targeting and Segmentation

Amazon DSP · Work through your exam, one topic at a time.

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Audience Targeting and Segmentation

Building audiences

Amazon DSP targeting falls into a few families: in-market (shopping signals indicating active purchase intent), lifestyle (broader interest/behavioral signals), remarketing (advertiser-created from pixels, Advertiser Audiences, or Amazon shopper interactions), and third-party segments. Candidates should also know Amazon-created audiences versus advertiser-created audiences, and how Advertiser Audiences (hashed customer lists, pixel-based, and lookalikes) are built and refreshed.

How targeting combines

Line items let you layer in-market + lifestyle, apply exclusions (e.g., exclude recent converters), and use contextual targeting. Understand audience overlap and reach estimation - Amazon shows forecasted reach and may warn about narrow audiences. Frequency caps, recency (e.g., days since last visit), and lookback windows change who qualifies.

Traps

  • Confusing in-market (purchase intent) with lifestyle (interest).
  • Assuming remarketing requires only a pixel - Advertiser Audiences also accept hashed lists and lookalikes.
  • Forgetting that exclusions reduce reach and that lookback windows affect segment membership.
  • Treating Amazon shopper audiences as identical to third-party segments.

Worked example

A brand wants to reach people who viewed a product page in the last 30 days but did not purchase. Build a remarketing audience from the pixel with a 30-day lookback, then add an exclusion for purchasers (conversion pixel or Amazon shopper segment). Forecast reach will drop after exclusions - verify the line item still has enough scale before launch.