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Joining real sales with ad spend v1.0.0

Use this resource to link real sales to advertising spend

New

  • 301 downloads
  • 126 likes
  • 208 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install ad-spend-revenue-join

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

A step of the analyze-performance playbook: the agent joins cleaned order or CRM numbers to ad spend per platform. It produces the business-truth table, the blended marketing efficiency ratio (MER), the cost of a new customer and each platform's overclaim ratio. Use it through analyze-performance.

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Updated November 2, 2026

Card for the “Joining real sales with ad spend” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: join method and reference table
  • SKILL.md: overclaim ratio calculation and thresholds

Good fit for

  • Your ad platforms claim more sales than your store records
  • You need the real cost of a new customer

Not for

    Tags

    • sales
    • spend
    • MER
    • attribution
    • reporting

    About

    You say

    “Join this week's orders with my Meta and Google spend.”

    Card for the “Joining real sales with ad spend” skill

    Skill published by gooseworks-ai 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 link real sales to advertising spend
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md1.5 KB
    • skill.meta.json0.3 KB

    Origin and licence

    Listed unmodified

    Author
    gooseworks-ai
    Source
    github.com/gooseworks-ai/goose-skills/tree/1add09bd8e0d057e91e25c96b9282498e2fcb2a2/skills/marketing/analyze-performance-revenue-join
    Licence
    MIT

    Notice

    « analyze-performance-revenue-join » (gooseworks-ai, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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