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Google Ads strategy (Search, Shopping, PMax) v1.0.0

Use this resource to plan and optimize your Google Ads campaigns

New

  • 454 downloads
  • 154 likes
  • 185 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install google-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 sets up the account and conversion tracking, then chooses campaign types, keywords, ad copy and bidding strategy. You get a Google Ads strategy ready to implement, with Quality Score and ROAS tracking.

Updated November 2, 2026

Card for the “Google Ads strategy (Search, Shopping, PMax)” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: seven-part method, from conversion tracking to Quality Score
  • SKILL.md: Google Ads strategy template

Good fit for

  • You want to capture demand already expressed in Google searches
  • Your Shopping or Performance Max campaigns have stalled

Not for

    Tags

    • google ads
    • search
    • shopping
    • performance max

    About

    You say

    “Prepare a Google Shopping campaign for my store: budget, bids and purchase tracking.”

    Card for the “Google Ads strategy (Search, Shopping, PMax)” skill

    Skill published by arnabbagxd 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 and optimize your Google Ads campaigns
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md12.4 KB

    Origin and licence

    Listed unmodified

    Author
    arnabbagxd
    Source
    github.com/arnabbagxd/brand-building-skills/tree/4a0a8b5b7a0f64bf0fc551978a18a591670a5223/skills/google-ads
    Licence
    MIT

    Notice

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

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