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ecommerce-analyst

Analyze ecommerce data to produce decision-ready reports and recommendations.

7|Updated Mar 11, 2026
Search Tags:#analytics#reporting#roi#ecommerce#margins#gmv
One-click install
npx skills add https://github.com/Leooooooow/Awesome-eCommerce-Skills --skill ecommerce-analyst
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ecommerce-analyst
Source: https://github.com/Leooooooow/Awesome-eCommerce-Skills/tree/main/skills/ecommerce-analyst
Command: npx skills add https://github.com/Leooooooow/Awesome-eCommerce-Skills --skill ecommerce-analyst

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Turn ecommerce data into clear, action-oriented reports that explain what happened, why it happened, and what to do next for business decisions.

Core Features & Use Cases

  • Automated data aggregation across sales, creator, product, customer, and operational metrics to produce consolidated reports.
  • Generates decision-ready insights and prioritized recommendations for action.
  • Useful for GMV trend analysis, product performance reviews, creator ROI calculations, customer behavior analysis, and margin reporting.
  • Supports ingestion of CSV/XLSX exports and helps translate data into clear business implications.

Quick Start

Upload your ecommerce data file and request a sales and margins report for a defined time period.

Frequently Asked Questions about ecommerce-analyst

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze ecommerce data to generate actionable business reports?▼

Analyzing ecommerce data involves loading and normalizing input files, computing core metrics like GMV and margins, and identifying patterns to produce decision-ready reports with actionable recommendations.

Can I use CSV or XLSX exports for GMV trend and margin reporting?▼

Yes, you can use CSV or XLSX exports for GMV trend and margin reporting by ingesting the raw sales data to compute core metrics and translate them into clear business implications.

What is the best way to calculate creator ROI from sales data?▼

The best way to calculate creator ROI from sales data is to aggregate creator-specific sales metrics, normalize the input data, and evaluate performance against margins to generate prioritized recommendations.

Does this approach to ecommerce analytics support customer behavior analysis?▼

Yes, this approach to ecommerce analytics supports customer behavior analysis by ingesting raw data exports, computing behavioral metrics, and identifying outliers to present clear business implications.

What should I do to prepare my data before analyzing product performance?▼

To prepare your data for analyzing product performance, you must ensure your CSV or XLSX exports are properly formatted for loading and normalizing before computing core metrics like GMV trends and margins.

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