amazon-brand-analytics
Amazon Brand Analytics interpretation and strategic insights for Brand Registry owners. Decode Search Frequency Rank (SFR) data, analyze Market Basket patterns, interpret Item Comparison reports, and extract demographic insights to optimize product strategy and advertising spend. Works with Brand Analytics data from all Amazon marketplaces. Requires Brand Registry access. Use when: (1) analyzing Search Frequency Rank data for keyword opportunities, (2) interpreting Market Basket data for cross-sell and bundling, (3) understanding Item Comparison competitive positioning, (4) extracting customer
npx skills add majiayu000/claude-skill-registry --skill amazon-brand-analytics --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Amazon Brand Analytics 📊 Unlock Brand Analytics insights for strategic growth. Requires Brand Registry — works with your data. ## Installation ```bash npx skills add nexscope-ai/Amazon-Skills --skill amazon-brand-analytics -g ``` ## Capabilities - **Search Frequency Rank (SFR) analysis**: Decode keyword opportunities, click share gaps, and conversion optimization - **Market Basket intelligence**: Identify cross-sell opportunities, bundle strategies, and category expansion - **Item Comparison insights**: Understand competitive positioning and customer consideration factors - **Demographic analysis**: Extract customer segment insights and geographic opportunities - **Seasonal trend detection**: Identify timing patterns and market shifts from search data - **Strategic recommendations**: Convert raw data into actionable growth strategies - **Multi-marketplace support**: Works with Brand Analytics from all Amazon regions ## Usage Examples Users can ask naturally. Examples: ``` Analyze my Search Frequency Rank data for "wireless earbuds" — show keyword opportunities and click share gaps ``` ``` Review my Market Basket data for the last 6 months. What cross-sell and bundling opportunit
- Installation
- Capabilities
- Usage Examples
- Three Analysis Modes
- Workflow
- Step 1: Data Preparation
- Step 2: Pattern Recognition
- Step 3: Strategic Synthesis
- Output Format
- Integration with Other Skills
- With amazon-keyword-research
- With amazon-competitor-monitoring
- Requirements
- Limitations
npx skills add nexscope-ai/Amazon-Skills --skill amazon-brand-analytics -g npx skills add nexscope-ai/Amazon-Skills --skill amazon-keyword-research -g npx skills add nexscope-ai/Amazon-Skills --skill amazon-competitor-monitoring -g
What does the amazon-brand-analytics skill do?
Amazon Brand Analytics interpretation and strategic insights for Brand Registry owners. Decode Search Frequency Rank (SFR) data, analyze Market Basket patterns, interpret Item Comparison reports, and extract demographic insights to optimize product strategy and advertising spend. Works with Brand Analytics data from all Amazon marketplaces. Requires Brand Registry access. Use when: (1) analyzing Search Frequency Rank data for keyword opportunities, (2) interpreting Market Basket data for cross-sell and bundling, (3) understanding Item Comparison competitive positioning, (4) extracting customer
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill amazon-brand-analytics --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.