lead-quality-pattern-analysis
lead-quality-pattern-analysis is a Marketing analytics & attribution skill for AI agents, published by fourteenwm in the ppc-ai-skills repository on GitHub. Skillspace rates lead-quality-pattern-analysis C (73/100) and it passed the safety scan; the rating is based on static analysis only.
Red flag detection frameworks for lead quality analysis across GA4 behavioral data. Auto-invoke when analyzing lead quality, identifying bot traffic, investigating no-shows/missing contact info, or reviewing conversion patterns. Provides 5 analysis frameworks (landing pages, geo, devices, time, user behavior) with severity classification.
- Grade
- C
- Quality
- 73 / 100
- Safety
- Passed
- GitHub stars
- 53
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 97 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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