Agent skill · data analytics · nexscope-ai
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 demographic insights, (5) optimizing product portfolio based on customer behavior, (6) building data-driven advertising strategies.
Why this skill is useful
Provides specific analytical frameworks and insights for optimizing product strategy using Amazon Brand Analytics data that the AI wouldn't reliably generate on its own.
What it needs
Requires nexscope-ai/amazon-skills installed locally. Requires amazon account access. About 5k tokens when loaded. Last updated 2026-07-23. 504 stars on the source repository.
What this skill does
Amazon Brand Analytics 📊 Unlock Brand Analytics insights for strategic growth. Requires Brand Registry — works with your data. Installation 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: Three Analysis Modes Mode Input Required Output Best For ------ ---------------- -------- ---------- SFR Analysis Search Frequency Rank data export Keyword opportunities, click/conversion gaps Advertising optimization Market Basket Market Basket Analysis export Cross-sell opportunities, bundle recommendations Product strategy Item Comparison Item Comparison report data Competitive positioning insights Product development Workflow Step 1: Data Preparation For SFR Analysis: 1. Export Search Frequency Rank report from Brand Analytics (last 90 days recommended) 2. Focus on top 100-200 keywords by search frequency rank 3. Note current click share and conversion share for each keyword For Market Basket Analysis: 1. Export Market Basket Analysis report (6-12 months for pattern recognition) 2. Include both "Customers who bought X also bought Y" data 3. Filter for statistically significant purchase combinations (10+ co-purchases) For Item Comparison: 1. Export Item Comparison report for your main ASINs 2. Include comparison data with top 5-10 competitors 3. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills nexscope-ai/amazon-brand-analytics