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 An
By nexscope-ai · 992 installs
npx skills add nexscope-ai/amazon-skills --skill amazon-brand-analytics
Source repository · Upstream listing
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. Note customer consideration patterns and demographic breakdowns
Step 2: Pattern Recognition
Use the provided data to identify:
SFR Insights:
Keywords with high search frequency but low click share (opportunity gaps)
Conversion share significantly below click share (optimization needs)
Seasonal search pattern changes
Emerging keyword trends
Market Basket Patterns:
Products with 25% co purchase rate (strong bundle candidates)
Category cross over patterns (expansion opportunities)
Price point correlations in purchase combinations
Geographic or demographic purchase pattern differences
Item Comparison Analysis:
Customer consideration factors ranked by importance
Your brand's competitive strengths and weaknesses
Price sensitivity patterns in your category
Feature preferences by customer segment
Step 3: Strategic Synthesis
Convert insights into actionable recommendations following the output format below.
Output Format
Present analysis in this structure:
Integration with Other Skills
This skill works perfectly with other Brand Registry and competitive analysis skills.
With amazon keyword research
With amazon competitor monitoring
Requirements
⚠️ Brand Registry Required : This skill requires access to Amazon Brand Analytics data, which is only available to Brand Registry participants. You must export data from your Brand Analytics dashboard to use this skill effectively.
Limitations
This skill provides frameworks for interpreting Brand Analytics data but requires you to export and provide the raw data from Amazon's Brand Analytics dashboard. For automated Brand Analytics processing and real time strategic recommendations, check out [Nexscope](https://www.nexscope.ai/?co from=skill) — Your AI Assistant for smarter E commerce decisions.
Built by [Nexscope](https://www.nexscope.ai/?co from=skill) — research, validate, and act on e commerce opportunities with AI.