lead-quality-pattern-analysis
CommunityDiagnose lead quality with actionable red flags.
Authorfourteenwm
Version1.0.0
Installs0
System Documentation
What problem does it solve?
GA4 lead quality data often shows noise from bot traffic, form spam, or misattributed conversions, making it hard to judge genuine pipeline potential. This skill provides a structured, framework-driven approach to diagnose and quantify lead quality issues using GA4 behavioral data, surfacing whether leads are legitimate prospects or bot/inaccurate signals.
Core Features & Use Cases
- 5 analysis frameworks: landing page distribution, geographic distribution, device/browser patterns, time patterns, and user behavior, each with explicit red flags and severity levels.
- Cross-framework synthesis to identify root causes, generate prioritized recommendations, and benchmark against typical service/lead funnels.
- Real-world scenarios include diagnosing lead quality in Performance Max, detecting form spam, and distinguishing high-intent inquiries from research traffic.
Quick Start
Run a GA4 cross-analysis to apply the 5 frameworks to your current lead conversions and produce a first-pass red-flag report.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: lead-quality-pattern-analysis Download link: https://github.com/fourteenwm/ppc-ai-skills/archive/main.zip#lead-quality-pattern-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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