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Bidding strategy: manual or automated, and its target v1.0.0

Use this resource to choose an ad bidding policy and how to set its target

New

  • 437 downloads
  • 105 likes
  • 128 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install ad-bidding-policy-design

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 first checks that measurement is reliable, because the bidder optimises only what is labelled as a conversion. It picks the approach, sets the target and defines the evaluation window, change discipline and rollback trigger. You get a written policy rather than a set of isolated settings.

Mostly picked by

Updated November 2, 2026

Card for the “Bidding strategy: manual or automated, and its target” skill

Details

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

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What you get

  • SKILL.md: measurement gate, archetypes and policy method
  • references/strategy-archetypes.md: bidding strategy archetypes
  • references/target-derivation.md: target derivation

Good fit for

  • Your target cost per acquisition seems arbitrary
  • Delivery drops after you change a target

Not for

    Tags

    • bidding
    • target cpa
    • target roas
    • policy

    About

    You say

    “Should we move our search campaigns to automated value-based bidding, or stay on manual bids?”

    Card for the “Bidding strategy: manual or automated, and its target” skill

    Skill published by mbfinotti 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 choose an ad bidding policy and how to set its target
    3. Review and adjust the result

    Content preview

    Files

    • evals/evals.json34.4 KB
    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/strategy-archetypes.md16.4 KB
    • references/target-derivation.md8.6 KB
    • references/worked-examples.md9.8 KB
    • SKILL.md25.4 KB

    Origin and licence

    Listed unmodified

    Author
    mbfinotti
    Source
    github.com/mbfinotti/advertising-skills/tree/ab1eb51a249978c9b7bd24b3d589c713a6198fd3/skills/ad-bidding-strategy
    Licence
    MIT

    Notice

    « ad-bidding-strategy » (mbfinotti, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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