
Campaign Analytics
Analyzes marketing campaign performance through multi-touch attribution modeling, funnel conversion analysis, and ROI calculation. Use when evaluating channel effectiveness, identifying conversion drop-off points, or calculating campaign profitability metrics across marketing initiatives.
- skills.sh installs
- 806
- GitHub stars
- 29.5K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add alirezarezvani/claude-skills --skill campaign-analytics --agent claude-codeInstalls into .claude/skills of the current project.
Files
Campaign Analytics
Production-grade campaign performance analysis with multi-touch attribution modeling, funnel conversion analysis, and ROI calculation. Three Python CLI tools provide deterministic, repeatable analytics using standard library only -- no external dependencies, no API calls, no ML models.
Input Requirements
All scripts accept a JSON file as positional input argument. See assets/sample_campaign_data.json for complete examples.
Attribution Analyzer
{
"journeys": [
{
"journey_id": "j1",
"touchpoints": [
{"channel": "organic_search", "timestamp": "2025-10-01T10:00:00", "interaction": "click"},
{"channel": "email", "timestamp": "2025-10-05T14:30:00", "interaction": "open"},
{"channel": "paid_search", "timestamp": "2025-10-08T09:15:00", "interaction": "click"}
],
"converted": true,
"revenue": 500.00
}
]
}
Funnel Analyzer
{
"funnel": {
"stages": ["Awareness", "Interest", "Consideration", "Intent", "Purchase"],
"counts": [10000, 5200, 2800, 1400, 420]
}
}
Campaign ROI Calculator
Sponsors
Details
- Repository
- github.com/alirezarezvani/claude-skills
- Categories
- Data Science & ML, Debugging, Marketing & SEO
- First seen
- Jun 3, 2026
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