What kind of data format do the analytics tools accept?

The tools accept standard JSON files containing customer journey touchpoints, funnel stage counts, or campaign financial data.

Does this skill require external API connections or dependencies?

No, all tools are built using the Python standard library to ensure deterministic, repeatable results without external API calls or third-party dependencies.

What attribution models are supported by this skill?

The skill supports five industry-standard models: First-Touch, Last-Touch, Linear, Time-Decay (with configurable half-life), and Position-Based (40/20/40).

Is this tool capable of cross-device tracking?

Attribution operates on the provided journey data as-is; any cross-device identity resolution must be handled upstream before passing the JSON to these scripts.

Can I integrate these tools into my CI/CD or data pipelines?

Yes, all scripts support a --format json flag, making them ideal for machine-readable integration into automated reporting pipelines.

Campaign Analytics

Name: Campaign Analytics
Author: alirezarezvani

byalirezarezvani

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1,982

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마케팅 자동화

Analyzes marketing campaign performance using multi-touch attribution, funnel conversion metrics, and ROI calculations to optimize marketing spend.

The Campaign Analytics skill provides a suite of production-grade Python tools designed to evaluate marketing effectiveness through deterministic data analysis. It empowers teams to move beyond basic reporting by implementing five industry-standard attribution models, identifying conversion bottlenecks within funnels, and calculating critical financial metrics like ROAS and CAC. By using standard Python libraries, it ensures repeatable results and easy integration into existing data pipelines without the need for external APIs or complex machine learning models.

주요 기능

01Five multi-touch attribution models including Time-Decay and Position-Based

02Multi-format reporting supporting human-readable text and machine-ready JSON

03Stage-by-stage funnel conversion analysis with bottleneck detection

04Standardized frameworks for A/B testing and cross-channel comparison

05Comprehensive ROI, ROAS, and CAC calculations with industry benchmarking

061,982 GitHub stars

사용 사례

01Attributing conversion credit across complex, multi-touch customer journeys

02Generating executive-ready ROI reports for multi-channel marketing campaigns

03Identifying and fixing drop-off points in digital sales and marketing funnels

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add alirezarezvani/claude-skills campaign-analytics

For use in Claude.ai and ChatGPT

Download Skill