What core metrics does this skill cover?

It focuses on key e-commerce KPIs including Average Order Value (AOV), conversion rate, cart abandonment rate, and repeat purchase rate.

Does it support customer segmentation?

Yes, it provides logic for RFM (Recency, Frequency, Monetary) scoring to help you target high-value 'Champions' or re-engage 'Lost' customers.

Can I use this for multi-touch attribution?

Yes, the skill includes implementation patterns for various revenue attribution models like first-click, last-click, linear, and data-driven methods.

How does this skill help with A/B testing?

It provides frameworks for designing statistically sound tests, including sample size calculation and significance reporting, to avoid false positive results.

E-Commerce Analytics

Name: E-Commerce Analytics
Author: rnavarych

byrnavarych

•

Eコマースソリューション

Optimizes e-commerce performance through advanced conversion funnel tracking, customer segmentation, and data-driven revenue analysis.

This skill empowers developers and data analysts to implement sophisticated e-commerce tracking and analysis directly within Claude. It provides domain-specific guidance on building robust conversion funnels, calculating critical metrics like Customer Lifetime Value (CLV) and Average Order Value (AOV), and performing RFM customer segmentation. Whether you are debugging attribution models or designing statistically significant A/B tests, this skill ensures your e-commerce platform leverages data-driven insights to maximize revenue and acquisition efficiency.

主な機能

019 GitHub stars

02RFM (Recency, Frequency, Monetary) customer segmentation logic

03Statistical design and analysis for high-rigor A/B testing

04Multi-model revenue attribution (last-click, first-click, linear)

05Cohort retention analysis for long-term customer value tracking

06End-to-end conversion funnel tracking and bottleneck diagnosis

ユースケース

01Implementing tracking for the browse-to-purchase customer journey

02Setting up dashboards for cart abandonment and repeat purchase rates

03Calculating CLV to CAC ratios to optimize marketing spend

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rnavarych/alpha-engineer ecommerce-analytics

For use in Claude.ai and ChatGPT

主な機能

019 GitHub stars

02RFM (Recency, Frequency, Monetary) customer segmentation logic

03Statistical design and analysis for high-rigor A/B testing

04Multi-model revenue attribution (last-click, first-click, linear)

05Cohort retention analysis for long-term customer value tracking

06End-to-end conversion funnel tracking and bottleneck diagnosis

ユースケース

01Implementing tracking for the browse-to-purchase customer journey

02Setting up dashboards for cart abandonment and repeat purchase rates

03Calculating CLV to CAC ratios to optimize marketing spend

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rnavarych/alpha-engineer ecommerce-analytics

For use in Claude.ai and ChatGPT