Claude Skill MartBrowse skillsQuick linesLearn by videoTerminal guideWhat is a Skill?
 
← Back to list

Conversion Signal QA

A pre-launch QA pass over paid-ads measurement plumbing: event firing, UTM hygiene, cross-platform dedup, attribution windows, plus a UTM/event spec builder.

Marketing & SEOIntermediate★ 2,592⑂ 347AI score 9/10Last updated: Aug 16, 2026

What it does

Runs a pre-flight audit of the tracking layer behind your paid campaigns:

  • Verifies conversion events actually fire, using one real test conversion you run yourself
  • Checks UTM hygiene: missing tags, inconsistent casing, auto-tagging vs manual collisions
  • Gates that a cross-platform dedup rule and a single source of truth (order IDs) are declared so Meta and Google stop double-counting
  • Confirms attribution windows are stated and aligned per platform
  • Flags offline-import gaps and iOS-ATT modeled conversions as warnings, not failures
  • Emits a filled-in UTM naming convention and conversion-event spec table for your account

Every checklist item is marked pass / fail / needs-input from evidence — never passed by default.

Who it's for

  • Performance marketers running Google Ads and Meta Ads
  • Agencies onboarding a new account and needing a tracking health check
  • Anyone whose GA4 order counts don't match platform-reported conversions
  • Ecommerce operators who want trustworthy data before raising budget

Examples

  1. "QA my conversion tracking before I scale. Platforms: Google + Meta. Here are my GA4 Conversions and Traffic-acquisition exports."
  2. "Build me a UTM scheme and event spec for this campaign, plus a pre-launch checklist I can run myself."
  3. "Meta and Google numbers don't match my GA4 orders — find the dedup, attribution-window, and UTM problems."

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/aaron-he-zhu/aaron-marketing-skills/HEAD/ad/activate/conversion-signal-qa/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on Claude Skill Mart.
Copy the ad/activate/conversion-signal-qa folder from the GitHub repo aaron-he-zhu/aaron-marketing-skills into my ~/.claude/skills/conversion-signal-qa/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/aaron-he-zhu/aaron-marketing-skills.git /tmp/aaron-marketing-skills && mkdir -p ~/.claude/skills/conversion-signal-qa && cp -r /tmp/aaron-marketing-skills/ad/activate/conversion-signal-qa/* ~/.claude/skills/conversion-signal-qa/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open your terminal.
  2. Clone the repo: git clone https://github.com/aaron-he-zhu/aaron-marketing-skills.git
  3. Create the skill folder: mkdir -p ~/.claude/skills/conversion-signal-qa
  4. Copy the files: cp -r aaron-marketing-skills/ad/activate/conversion-signal-qa/* ~/.claude/skills/conversion-signal-qa/
  5. The skill links to references/ files and repo-level CONNECTORS.md / SECURITY.md, so copying the whole repo into ~/.claude/skills/aaron-marketing-skills/ keeps those links working.
  6. Restart Claude Code and ask something like "QA my conversion tracking before launch".
  7. Prepare inputs first: export the GA4 Conversions report and the Traffic-acquisition (source/medium) report as CSV, and complete one manual test conversion for the most accurate results.
View source on GitHub ↗License: Apache-2.0