Individual skill
ga4-campaign-cross-reference
Cross-referencing framework for comparing GA4 behavioral data with Google Ads campaign settings to identify discrepancies and configuration gaps. Auto-invoke when cross-analyzing GA4 and Ads data, investigating discrepancies, or verifying campaign configuration. Uses "Hypothesis → Verification → Finding" methodology.
ga4-campaign-cross-reference/SKILL.md
Source commit 90f0e419f2d820789d5e50eee1237ab9fd14dfc6
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- Last checked
- Nov 11, 2026
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- Repository last updated
- Aug 25, 2026
- License
- MIT
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- ai-agents Repository topic
- ai-skills Repository topic
- claude-code Repository topic
- google-ads Repository topic
- google-ads-api Repository topic
- ppc Repository topic
- ppc-automation Repository topic
- marketing Derived category
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# GA4 Campaign Cross-Reference Skill
**Purpose:** Provides standardized methodology for cross-referencing GA4 behavioral data with Google Ads campaign settings to identify discrepancies, configuration gaps, and misalignments.
**Type:** Domain knowledge skill (auto-invoked)
---
## What This Skill Deliberately Does NOT Do
- **Collect the data.** It compares two datasets it's handed; gathering them is the prerequisite [`ga4-cross-analysis`](../ga4-cross-analysis/) step, which ships the campaign-settings query this skill reads.
- **Treat every discrepancy as a settings problem.** Its whole method refuses that — a GA4 anomaly (VPNs, mobile IP inaccuracy) gets ruled out, not "fixed."
- **Prioritize or build the action plan.** It confirms or rules out gaps; turning the confirmed ones into a sequenced plan is [`lead-quality-recommendation-prioritization`](../lead-quality-recommendation-prioritization/).
- **Apply the changes.** It documents findings; execution happens downstream under its own guardrails.