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product-analytics

Analyze product performance metrics like sell-through rates and dead stock.

44|7|Updated Mar 12, 2026
Search Tags:#performance#inventory#product analytics#merchandising#sell-through#dead stock
One-click install
npx skills add https://github.com/finsilabs/awesome-ecommerce-skills --skill product-analytics-finsilabs
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: product-analytics
Source: https://github.com/finsilabs/awesome-ecommerce-skills/tree/main/skills/data-analytics/product-analytics
Command: npx skills add https://github.com/finsilabs/awesome-ecommerce-skills --skill product-analytics-finsilabs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps e-commerce businesses understand product performance by tracking key metrics like sell-through rates, identifying slow-moving or dead stock, and analyzing product page conversion funnels.

Core Features & Use Cases

  • Sell-Through Rate Analysis: Determine how effectively inventory is selling.
  • Dead Stock Identification: Flag products that are not selling and tying up capital.
  • Product Page Conversion Funnel: Analyze the journey from product view to add-to-cart to purchase.
  • Category-Level Reporting: Understand performance across different product categories.
  • Use Case: A merchandising team can use this skill to generate a weekly report identifying products with low sell-through rates and high inventory levels, enabling them to make informed decisions about markdowns or reorders.

Quick Start

Use the product-analytics skill to analyze the sell-through rate for all products in the 'fashion' category over the last 90 days.

Frequently Asked Questions about product-analytics

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

FAQPage Schema
How do I identify dead stock and calculate sell-through rates for my e-commerce inventory?▼

To identify dead stock and calculate sell-through rates, analyze product performance metrics to flag non-selling items tying up capital and determine how effectively inventory sells. This enables informed merchandising and inventory management decisions.

Can I analyze product page conversion funnels and category-level reporting with Google Analytics 4?▼

Yes, you can analyze product page conversion funnels from view to purchase and generate category-level reporting. This Skill integrates with Google Analytics 4 to provide actionable insights for merchandising decisions.

Does product analytics work with Shopify, WooCommerce, and BigCommerce platforms?▼

Product analytics works with Shopify, WooCommerce, and BigCommerce platforms. It analyzes product performance metrics including sell-through rates and dead stock identification to support e-commerce merchandising decisions.

What is the best way to generate a weekly report for products with low sell-through rates?▼

The best way to generate a weekly report for low sell-through products is to analyze inventory levels and sales data over a set period. This identifies slow-moving items, enabling markdown or reorder decisions.

How do I track views-to-purchase conversion for specific product categories over time?▼

Track views-to-purchase conversion by analyzing the product page conversion funnel and category-level reporting. Filter by specific categories and timeframes, such as 90 days, to understand performance trends.

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