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ga4-lead-quality-investigation

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Investigate Google Ads lead quality issues by cross-analyzing GA4 behavioral data with Google Ads campaign settings. Auto-invoke when user says "investigate [account] lead quality", "GA4 analysis for [campaign]", "why are [account] leads low quality", or mentions no-shows, missing phone numbers, or bot traffic. Applies 5 red-flag frameworks, hypothesis-driven cross-reference verification, and 3-tier prioritized recommendations. Read-only — no mutations.

ga4-lead-quality-investigation/SKILL.md

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Aug 25, 2026
License
MIT

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# GA4 Lead Quality Investigation

**Purpose:** Investigate why a Google Ads campaign is generating low-quality leads (no-shows, missing contact info, bot traffic, geographic mismatches) by cross-analyzing GA4 behavioral data with Google Ads campaign settings and producing prioritized recommendations.

**Type:** Read-only investigation skill. Reads GA4 + Google Ads data and writes an analysis document; never writes to Google Ads.

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## What This Skill Deliberately Does NOT Do

- **Mutate anything.** It is read-only — it writes an analysis document and never touches Google Ads.
- **Own the methods.** The 5 frameworks, formulas, and templates live in the companion skills it auto-loads (see "Auto-Load Domain Knowledge Skills"); this file sequences them into the 7-step protocol.
- **Ship the collector scripts.** `query_campaign_settings.py` ships as a reference implementation in the sibling [`ga4-cross-analysis`](../ga4-cross-analysis/) (`../ga4-cross-analysis/scripts/query_campaign_settings.py`); the GA4 query scripts are environment-specific and yours to implement (see "Script Contract").
- **Execute the fixes.** It produces prioritized recommendations; applying them is downstream and mutation-gated.
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