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product-analysis

Analyze Noibu product and collection performance with cross-referenced funnel rates.

5|10|Updated May 11, 2026
Search Tags:#sessions#analyze#ecommerce#conversion-rate#noibu#product-performance
One-click install
npx skills add https://github.com/Noibu/ai-plugin --skill product-analysis-noibu
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: product-analysis
Source: https://github.com/Noibu/ai-plugin/tree/main/src/skills/product-analysis
Command: npx skills add https://github.com/Noibu/ai-plugin --skill product-analysis-noibu

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze product and collection performance using Noibu data to identify underperforming products, top revenue opportunities, and where shoppers drop off in the product funnel.

Core Features & Use Cases

  • End-to-end product and collection performance analysis using Noibu data across views, ATC, purchases, and conversions.
  • Cross-referenced insights such as view-to-ATC rate, ATC-to-purchase rate, and collection/typical type performance to prioritize fixes.
  • Guided deeper-dive workflows to investigate high-traffic but low-conversion signals, product page engagement, and funnel depth variations.

Quick Start

Ask Noibu to run a full product and collection performance analysis on your data.

Frequently Asked Questions about product-analysis

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

FAQPage Schema
How do I analyze ecommerce product performance to find where shoppers drop off?▼

To analyze ecommerce product performance, the Skill runs five concurrent queries across views, ATC, purchases, collections, and product types, then cross-references the results to compute view-to-ATC and ATC-to-purchase rates and identify drop-off points.

What is the best way to identify underperforming products and top revenue opportunities?▼

Identifying underperforming products requires cross-referencing product views, add-to-cart events, and purchases to calculate conversion rates, highlighting top revenue opportunities and prioritizing fixes for high-traffic but low-conversion items.

How do I run a full product and collection performance analysis using Noibu data?▼

Running a full product and collection performance analysis with Noibu data involves executing five concurrent queries across views, ATC, purchases, collections, and product types, followed by post-processing to render a structured report with deeper follow-up options.

Can I analyze collection and product type performance alongside individual product funnels?▼

Analyzing collection and product type performance alongside individual product funnels is fully supported, allowing you to cross-reference engagement metrics to prioritize fixes across both specific products and broader collection categories.

Why does my product page have high traffic but a low add-to-cart conversion rate?▼

A high-traffic product page with a low add-to-cart conversion rate is investigated through guided deeper-dive workflows that analyze product page engagement and funnel depth variations to isolate the drop-off cause.

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