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DataPython

Paid Measurement Loop

by aaron-he-zhu

Paid Measurement Loop is a Data skill for Claude Code, published by aaron-he-zhu in aaron-marketing-skills.

2.6K stars347 forkson aaron-he-zhu/aaron-marketing-skillsAdded 2026/08/18+1% in starsRepository updated 2026/08/18
agent-skillsbrand-messagingbrand-narrativeclaude-codeclaude-skillscontent-optimizationcreator-marketingemail-marketinggenerative-engine-optimizationgeoinfluencer-marketingmarketingmarketing-automationorganic-socialpaid-advertisingproduct-huntproduct-launchroasseosocial-media-marketing
Install in seconds
Install Paid Measurement Loop
Copy Paid Measurement Loop into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/main/ad/scale/paid-measurement-loop ~/.claude/skills/paid-measurement-loop

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/aaron-he-zhu/aaron-marketing-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
ad/scale/paid-measurement-loop/SKILL.md in aaron-he-zhu/aaron-marketing-skills
Installs to
~/.claude/skills/paid-measurement-loop
Collection
One of 25 skills cataloged from this repository
Category
Data668 skills

What Paid Measurement Loop does

Paid Measurement Loop reads back a paid-ads change against a control over a fixed readback window and returns a Promote / Keep-testing / Rollback / Unproven decision. Use it when asked to check whether an ad change worked or to compare ROAS/CPA before and after, with ROI math delegated to roi-calculator.

Paid Measurement Loop is cataloged under Data on DirSkills. Paid Measurement Loop comes from a repository tagged agent-skills, brand-messaging, brand-narrative, claude-code and claude-skills.

Documentation

README

Reads a paid-ads change back against a control over a fixed readback window and returns Promote / Keep-testing / Rollback / Unproven. This is the paid readback loop — distinct from roi-calculator (the ROI/CPA math, which this delegates to), ad-account-auditor (RQS score/veto adjudication), and performance-analyzer (cross-channel rollup); it owns only the readback decision, window, and control.

Quick Start

Read back the budget increase I made on Campaign X two weeks ago — did ROAS hold vs the control?
I rotated in new creative on the prospecting set on the 10th — promote, keep testing, or roll back?
Compare ROAS on my Meta vs Google search campaigns (I have both CSV exports)

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Paid Measurement Loop

  • What else does aaron-he-zhu publish alongside Paid Measurement Loop?

    Paid Measurement Loop is one of 25 skills that DirSkills catalogs from aaron-he-zhu/aaron-marketing-skills, the repository it ships in. Its siblings there include Ad Account Auditor, Ad Creative Builder and Ad Test Designer. Each one is a separate skill with its own page in this directory, installs the same way Paid Measurement Loop does, and is maintained by aaron-he-zhu in that same repository. The rest of the collection is listed on the aaron-he-zhu/aaron-marketing-skills page.

  • How does Paid Measurement Loop compare to other Data skills?

    Paid Measurement Loop ranks #313 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Paid Measurement Loop against them. Open each page to compare what they document and how they install.

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