Does this skill require external database or API connections?

No, it is a deterministic toolset that works offline using Python's standard library to analyze static JSON data snapshots you provide.

What attribution models does this skill support?

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

Can I integrate these analytics into my existing data pipeline?

Yes, all scripts support a --format json flag, allowing you to pipe machine-readable results directly into other tools or dashboards.

What kind of data do I need to provide for the analysis?

The skill expects JSON files containing customer journey touchpoints for attribution, stage counts for funnel analysis, or campaign spend/revenue data for ROI calculations.

Campaign Analytics

Name: Campaign Analytics
Author: zhangzhang-111-i

byzhangzhang-111-i

0•

Marketing Automation

Analyzes marketing campaign performance through multi-touch attribution, funnel conversion tracking, and comprehensive ROI calculations.

The Campaign Analytics skill provides a suite of production-ready Python tools designed for deep performance evaluation of marketing initiatives. It enables users to implement five industry-standard attribution models—including Time-Decay and Position-Based—to accurately credit conversions across complex customer journeys. Beyond attribution, the skill identifies conversion bottlenecks within sales funnels and calculates critical profitability metrics like ROAS, CPA, and CAC. Operating entirely with the Python standard library, it offers a deterministic and privacy-focused approach to marketing data analysis, making it ideal for optimizing multi-channel spend and generating actionable insights for reporting pipelines.

Key Features

010 GitHub stars

02Supports five attribution models: First-Touch, Last-Touch, Linear, Time-Decay, and Position-Based.

03Identifies funnel bottlenecks through stage-to-stage conversion and drop-off analysis.

04Calculates full-funnel metrics including ROI, ROAS, CPA, CPL, and CAC.

05Generates both human-readable tables and machine-readable JSON for pipeline integration.

06Flags underperforming campaigns using built-in industry benchmarks for CTR and conversion rates.

Use Cases

01Auditing sales funnels to pinpoint exactly where prospects are dropping off before purchase.

02Determining budget reallocation by identifying high-performing channels in multi-touch journeys.

03Generating automated ROI reports for executive stakeholders using standardized campaign data.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add zhangzhang-111-i/claude-skills111 campaign-analytics

For use in Claude.ai and ChatGPT

Key Features

010 GitHub stars

02Supports five attribution models: First-Touch, Last-Touch, Linear, Time-Decay, and Position-Based.

03Identifies funnel bottlenecks through stage-to-stage conversion and drop-off analysis.

04Calculates full-funnel metrics including ROI, ROAS, CPA, CPL, and CAC.

05Generates both human-readable tables and machine-readable JSON for pipeline integration.

06Flags underperforming campaigns using built-in industry benchmarks for CTR and conversion rates.

Use Cases

01Auditing sales funnels to pinpoint exactly where prospects are dropping off before purchase.

02Determining budget reallocation by identifying high-performing channels in multi-touch journeys.

03Generating automated ROI reports for executive stakeholders using standardized campaign data.