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Paid ad campaign strategy and optimization v1.0.0

Use this resource to plan, target and optimize paid advertising campaigns

New

  • 507 downloads
  • 116 likes
  • 165 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install paid-ads-campaign-strategy

With 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 login

The agent starts from your goals, offer and audience, then checks the account state if you share it. It recommends the platform, campaign structure, budget and criteria for stopping an ad. You get a campaign plan and optimization steps based on your numbers.

Mostly picked by

Updated November 2, 2026

Card for the “Paid ad campaign strategy and optimization” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

Similar resources

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What you get

  • SKILL.md: scoping (goals, offer, audience) and routing to references
  • references/google-search-playbook.md: Google Ads search method
  • references/meta-decision-system.md: Meta campaign decision framework

Good fit for

  • You must choose between Google Ads and Meta for a fixed budget
  • A campaign spends without results and you need to know when to stop it

Not for

    Tags

    • paid ads
    • google ads
    • meta ads
    • roas

    About

    You say

    “Set up the structure of my Google Ads campaigns for a store with a 2,000 euro monthly budget.”

    Card for the “Paid ad campaign strategy and optimization” skill

    Skill published by coreyhaines31 under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to plan, target and optimize paid advertising campaigns
    3. Review and adjust the result

    Content preview

    Files

    • evals/evals.json25.6 KB
    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/abm-playbook.md8 KB
    • references/ad-copy-templates.md4.9 KB
    • references/audience-targeting.md6.2 KB
    • references/audit-guardrails.md8 KB
    • references/b2b-paid-playbook.md7.9 KB
    • references/creative-research-automation.md10.3 KB
    • references/google-ads-audit-checklist.md12.6 KB
    • references/google-search-playbook.md10.7 KB
    • references/linkedin-b2b-playbook.md9.1 KB
    • references/meta-andromeda-playbook.md8.1 KB
    • references/meta-decision-system.md15.5 KB
    • references/operating-check.md5.8 KB
    • references/payback-period.md6.8 KB
    • references/platform-setup-checklists.md7.7 KB
    • references/reading-google-ads-data.md8.7 KB
    • references/rsa-output-spec.md3.7 KB
    • SKILL.md30.5 KB

    Origin and licence

    Listed unmodified

    Author
    coreyhaines31
    Source
    github.com/coreyhaines31/marketingskills/tree/0cd9b3a0ef4c411a1d690419ce843f2a1da32cce/skills/ads
    Licence
    MIT

    Notice

    « ads » (coreyhaines31, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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