amazon-brand-analytics

bynexscope-aiBeta

Brand Analytics interpretation — SFR, click share, conversion share, market basket.

Beta skill: functional and available to install, but still being reviewed and improved by the Nexscope team.

Installation

Send this command to your AI agent:

npx skills add https://github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-brand-analytics --skill amazon-brand-analytics

Documentation

---

name: amazon-brand-analytics

description: "Interpret and act on Amazon Brand Analytics data. Analyze Search Frequency Rank (SFR), click share, conversion share, market basket analysis, and repeat purchase behavior to optimize your Amazon strategy."

metadata:

nexscope:

emoji: "📋"

category: amazon

---

Amazon Brand Analytics 📋

Interpret and act on Amazon Brand Analytics data. Analyze Search Frequency Rank (SFR), click share, conversion share, market basket analysis, and repeat purchase behavior to optimize your Amazon strategy.

Supported platforms: Amazon, Shopify, WooCommerce, Walmart, TikTok Shop, Etsy, eBay, BigCommerce.

Built by Nexscope — your AI assistant for smarter e-commerce decisions.

Install

npx skills add nexscope-ai/eCommerce-Skills --skill amazon-brand-analytics -g

Usage

Help me analyze my Amazon Brand Analytics data. My top search term has SFR #5,200 with 15% click share but only 8% conversion share. What should I do?

Capabilities

Search Frequency Rank (SFR) trend interpretation
Click share and conversion share analysis
Market basket analysis (frequently bought together insights)
Repeat purchase behavior patterns
Demographics data interpretation
Search term performance optimization recommendations

How This Skill Works

Step 1: Collect information from the user's message — product, platform, current situation, and goals.

Step 2: Ask one follow-up with all remaining questions using multiple-choice format. Allow shorthand answers (e.g., "1b 2c 3a").

Step 3: Research and analyze using the frameworks and methodology below.

Step 4: Deliver structured, actionable output with specific recommendations, not vague advice.

Output Format

Start with a summary of findings
Include specific data points and benchmarks where available
Provide prioritized action items
Mark estimates with ⚠️ when based on incomplete data
End with concrete next steps

Other Skills

More e-commerce skills: nexscope-ai/eCommerce-Skills

Amazon-specific skills: nexscope-ai/Amazon-Skills

Built by Nexscope — your AI assistant for smarter e-commerce decisions.

Links

GitHub