Campaign Analytics
Skill Verified ActiveAnalyzes campaign performance with multi-touch attribution, funnel conversion analysis, and ROI calculation for marketing optimization. Use when analyzing marketing campaigns, ad performance, attribution models, conversion rates, or calculating marketing ROI, ROAS, CPA, and campaign metrics across channels.
To provide data-driven insights for optimizing marketing campaigns by analyzing multi-touch attribution, funnel performance, and return on investment.
Features
- Multi-touch attribution modeling (5 models)
- Funnel conversion rate and bottleneck analysis
- ROI, ROAS, CPA, CPL calculation
- Industry benchmark comparisons
- Standard library Python tools for cross-platform compatibility
- JSON and text output formats
Use Cases
- Analyzing the effectiveness of different marketing channels.
- Identifying drop-off points in the customer journey.
- Calculating and optimizing marketing spend for profitability.
- Benchmarking campaign performance against industry standards.
Non-Goals
- Real-time data connection or API integration.
- Advanced statistical modeling or machine learning.
- Cross-device tracking or identity resolution.
- Currency conversion or multi-currency support.
Workflow
- Prepare campaign data in JSON format.
- Run `attribution_analyzer.py` to understand channel credit.
- Run `funnel_analyzer.py` to identify conversion bottlenecks.
- Run `campaign_roi_calculator.py` to calculate profitability and benchmarks.
- Review results to inform budget reallocation and optimization strategies.
Practices
- Attribution modeling
- Funnel optimization
- ROI analysis
- Performance benchmarking
Prerequisites
- Python 3 environment
Installation
First, add the marketplace
/plugin marketplace add alirezarezvani/claude-skills/plugin install marketing-skill@claude-code-skillsQuality Score
VerifiedTrust Signals
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