Which attribution models are supported by this skill?

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

What specific metrics does the ROI calculator provide?

It calculates Return on Investment (ROI), Return on Ad Spend (ROAS), Cost Per Acquisition (CPA), Cost Per Lead (CPL), and Customer Acquisition Cost (CAC).

Does this skill require external API connections or ML models?

No, the tools are built using the Python standard library only, ensuring deterministic results and privacy by processing your data locally via JSON files.

Can it help with A/B testing analysis?

Yes, it includes templates and frameworks for structured A/B test documentation and descriptive metric analysis to ensure statistical validity.

How do I provide my campaign data to the analyzer?

All tools accept a positional input argument pointing to a JSON file containing your journey data, funnel stages, or campaign spend and revenue metrics.

Campaign Performance Analytics

Name: Campaign Performance Analytics
Author: oabdelmaksoud

byoabdelmaksoud

0•

マーケティングオートメーション

Analyzes marketing campaign performance using multi-touch attribution, funnel conversion metrics, and ROI calculation tools.

The Campaign Performance Analytics skill provides a suite of deterministic Python tools designed to optimize marketing spend and strategy. By implementing five industry-standard attribution models and deep funnel analysis, it helps developers and marketers identify high-value channels, detect conversion bottlenecks, and calculate precise ROI and ROAS without external dependencies. This skill is essential for data-driven teams looking to move beyond simple last-click attribution to gain a holistic view of the customer journey and marketing efficiency.

主な機能

01Multi-touch attribution modeling (First, Last, Linear, Time-Decay, Position-Based)

020 GitHub stars

03Cross-channel performance comparison with executive reporting templates

04Stage-by-stage funnel conversion analysis and bottleneck detection

05Comprehensive ROI, ROAS, CPA, and CAC metric calculation

06Deterministic Python CLI tools that require zero external dependencies

ユースケース

01Evaluating marketing channel effectiveness beyond simplistic last-click attribution

02Generating executive-ready ROI reports to justify marketing budget reallocation

03Identifying specific stages in a sales funnel where leads are dropping off most frequently

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add oabdelmaksoud/superclaw campaign-analytics

For use in Claude.ai and ChatGPT

主な機能

01Multi-touch attribution modeling (First, Last, Linear, Time-Decay, Position-Based)

020 GitHub stars

03Cross-channel performance comparison with executive reporting templates

04Stage-by-stage funnel conversion analysis and bottleneck detection

05Comprehensive ROI, ROAS, CPA, and CAC metric calculation

06Deterministic Python CLI tools that require zero external dependencies

ユースケース

01Evaluating marketing channel effectiveness beyond simplistic last-click attribution

02Generating executive-ready ROI reports to justify marketing budget reallocation

03Identifying specific stages in a sales funnel where leads are dropping off most frequently

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add oabdelmaksoud/superclaw campaign-analytics

For use in Claude.ai and ChatGPT