Audience Targeting and Remarketing
Audience targeting and remarketing tests whether you can build a Display audience strategy across prospecting, consideration, and retention. The exam focuses on audience types, remarketing list mechanics, exclusions, combined audiences, and observation versus targeting.
Core rules
- Prospecting audiences include affinity, in-market, detailed demographics, life events, and custom segments built from keywords, URLs, or apps.
- Remarketing audiences come from website visitors via the tag, app users, YouTube interactions, and Customer Match lists. Membership duration can be set up to 540 days; a short default window may miss slower purchase cycles.
- Dynamic remarketing uses a product or service feed and requires the correct business type and attributes.
- Customer Match requires an eligible account, a privacy policy, hashed customer data, and appropriate consent.
- Similar segments expand from a seed audience. Combined audiences use AND/OR logic to narrow or broaden a definition.
- Exclusions are essential: exclude purchasers from cart-abandoner campaigns, existing customers from acquisition campaigns, and irrelevant placements or app categories.
- Observation lets you measure an audience without restricting delivery; targeting restricts delivery to that audience.
Worked example
An ecommerce advertiser wants a full-funnel remarketing setup. Build a cart-abandoner audience for 30 days, exclude purchasers from the last 180 days, and use dynamic remarketing with the product feed. Build a product-viewer audience for 14 days with a separate ad group and a higher bid. Keep an all-visitors 540-day audience for broad remarketing with a lower bid and frequency cap. The reasoning is that intent decays: cart abandoners deserve the most specific creative and budget, while broad visitors provide scale without competing against the same users.
Traps
Launching a list that is too small to serve; tagging only the homepage and missing key pages; using a membership duration shorter than the sales cycle; failing to exclude converters; letting overlapping lists compete; using Customer Match without consent; and confusing observation with targeting when the goal is to restrict delivery.