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Ad targeting by audience tiers v1.0.0
Use this resource to build a layered ad targeting plan by audience tier
New
- 433 downloads
- 102 likes
- 167 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install ad-audience-tiers-planningWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent sizes each tier against platform audience floors, budgets each one to clear the learning threshold and writes exclusion rules so that campaigns do not bid against each other. It also sets the test order. You get a targeting plan ready to launch, with audience sizes and separation rules.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- MIT
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What you get
- SKILL.md: tiers, broad or layered targeting, floors and exclusions
- references/platform-notes.md: platform-specific notes
- references/worked-example.md: worked targeting plan
Good fit for
- Your campaigns overlap and compete with each other
- You want to turn your ideal customer profile into ad audiences
Not for
Tags
- targeting
- audiences
- icp
- exclusions
About
You say
“Turn our ideal customer profile into ad audiences: broad prospecting, interests, lookalikes and retargeting.”
Skill published by mbfinotti under the MIT license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to build a layered ad targeting plan by audience tier
- Review and adjust the result
Content preview
Files
- evals/evals.json29.7 KB
- LICENSE1.1 KB
- NOTICE-PALATEKIT.md0.5 KB
- references/platform-notes.md8.6 KB
- references/worked-example.md13.7 KB
- SKILL.md27.3 KB
Origin and licence
Listed unmodified
- Author
- mbfinotti
- Source
- github.com/mbfinotti/advertising-skills/tree/ab1eb51a249978c9b7bd24b3d589c713a6198fd3/skills/ad-audience-targeting
- Licence
- MIT
Notice
« ad-audience-targeting » (mbfinotti, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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