Audience targeting
The settings that decide who can be shown an ad, translating your intended audience into locations, signals, lists, and exclusions.
See it
What it is
Audience targeting is the set of choices that tells an ad platform who may receive an ad. Those choices can include location, language, interests, past site activity, or a customer list. In Meta Ads Manager they sit in the Detailed Targeting box; in Google Ads they include the keyword match types that decide which queries qualify. The target audience is the human group you want; targeting is how you translate that idea into platform controls.
Reach for it when paid distribution would waste money on people who cannot buy, or when warm prospects need a different message from cold ones. Start with the few restrictions the offer genuinely requires, then compare a broad audience against a more directed one using the same creative and conversion event.
Gotcha: more filters do not automatically mean more relevance. Stacking age, job title, interest, device, and behavior can leave a tiny audience that costs more and teaches the delivery system less. Target narrowly for real eligibility constraints, not because the settings screen makes precision feel free.
Ask AI for it
Build a Meta Ads Manager audience-targeting plan for [offer] in [market]. Create three mutually exclusive ad sets: broad prospecting with only genuine location and eligibility constraints, a Lookalike Audience seeded from [approved customer list], and retargeting from [approved site or engagement source]. Exclude existing customers from prospecting and exclude the retargeting pool from both prospecting ad sets. Keep creative, budget, optimization event, and placement strategy identical so cost per qualified conversion is comparable. Return a table of inclusions, exclusions, source data, privacy checks, estimated overlap risks, and the rule for pausing each ad set. Do not add inferred interests that are not supported by the audience brief.