Market Share Analyzer v2.0.0IMPORTANT — Working Directory: All scripts in this skill MUST be executed with the working directory set to the absolute path of the directory containing this SKILL.md file (the skill root directory). Always
cdinto this directory before running any command. Do NOT use relative paths or shell shortcuts like~in paths, as they may not be resolved by the execution environment.
Category / Market Understanding Step
Before running this skill, if the user provides a broad product category, niche, keyword, market idea, or trend topic, first identify:
- category or niche
- target marketplace, country, or platform
- user's analysis goal
- relevant seed keywords or subcategories
- whether the request is about demand, competition, trend, opportunity, or prioritization
Use this market understanding to choose keywords, filters, regions, comparison scope, and analysis dimensions before executing the script.
Is this market monopolized? Can new brands succeed?
Analyze market concentration and brand dominance using three-source data fusion.
Core Question
— Is this market monopolized? — Can new brands succeed?
When to Use
- Evaluating market entry feasibility
- Understanding brand concentration
- Finding markets open to new entrants
- Analyzing SOV vs actual revenue discrepancy
Differs From / Not Applicable
- Use market-overview for broad market context.
- Use niche-evaluator for entry score and go/no-go recommendations.
- Use competitor-analyzer for product-level competitor metrics.
- Use this skill for brand dominance, SOV, CR4, and concentration.
Data Sources (Three-Source Fusion)
| Source | Endpoint | Data |
|---|---|---|
| Jungle Scout | /api/v1/tools/jungle-scout/keywords/share-of-voice |
Brand SOV %, organic/ads split |
| Amazon Search | /api/v1/tools/research/amazon/search |
Product list, prices, reviews |
| Keepa | /api/v1/tools/research/keepa/productRequest |
Product details, monthly sales, seller info |
| Keepa | /api/v1/tools/research/keepa/productSeries |
BSR history, price trends |
Cross-Validation Architecture
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ Jungle Scout │ │ Amazon Search │ │ Keepa │
│ SOV API │ │ API │ │ Product Data │
├─────────────────┤ ├─────────────────┤ ├─────────────────┤
│ - Brand SOV % │ │ - Product list │ │ - Monthly sales │
│ - Organic/Ads │ │ - Prices │ │ - BSR history │
│ - Click/Conv │ │ - Reviews │ │ - Sales volume │
└────────┬────────┘ └────────┬────────┘ └────────┬────────┘
└──────────────┬──────┴─────────────────────┘
▼
┌─────────────────────┐
│ Cross-Validation │
│ Engine │
└─────────────────────┘
Key Metrics
| Metric | Description | Thresholds |
|---|---|---|
| HHI | Herfindahl-Hirschman Index | <1500 Open, 1500-2500 Moderate, >2500 Concentrated |
| CR1 | Top 1 brand share | >40% = Dominant leader |
| CR4 | Top 4 brands share | >70% = Oligopoly |
| CR10 | Top 10 brands share | >90% = Closed market |
| Entry Score | 0-100 feasibility | >70 Good, 50-70 Moderate, <50 Difficult |
⚠️ MANDATORY: Charts & Display Rules
- Generate charts by default for full analytical reports — use
--chartwith an output directory unless the user asks for a quick text-only result or chart data is unavailable. - Send generated charts to the user — when charts are created, share all chart PNGs immediately.
- All chart styling is driven by
ecommerce_chart_helpers.pywhich reads fromchart_style.json(derived fromreferences/display-rules.md). Do NOT hardcode colors in scripts.
Usage
# Analyze market share
python3 scripts/market_share_analyzer.py '{"keyword": "yoga mat"}'
# Different market
python3 scripts/market_share_analyzer.py '{"keyword": "face wash", "market": "UK"}'
# With chart output
python3 scripts/market_share_analyzer.py '{"keyword": "kombucha"}' --chart /tmp/output
Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
keyword |
string | required | Market keyword |
market |
string | Target marketplace | |
limit |
int | 50 | Products to analyze |
Output Structure
The output will be a structured markdown report, following this format:
Market Share Analysis Report: [Keyword]
1. Executive Summary
- Analysis Keyword: [keyword]
- Analysis Market: [market]
- Data Source: [data_source]
- Market Structure: [market_structure]
- New Brand Entry Feasibility: [metrics.hhi_classification]
- Core Insight: [insights.market_openness]
- Recommended Strategy: [insights.recommended_strategy[0].strategy] - [insights.recommended_strategy[0].detail]
2. Market Concentration Metrics
- Key Market Indicators:
| Indicator | Value | Classification | Description |
|---|---|---|---|
| HHI (Herfindahl-Hirschman Index) | [metrics.hhi] | [metrics.hhi_classification] | <1500 Open, 1500-2500 Moderate, >2500 Concentrated |
| CR1 (Top 1 Brand Share) | [metrics.cr1]% | >40% = Dominant Leader | |
| CR4 (Top 4 Brand Share) | [metrics.cr4]% | >70% = Oligopoly | |
| CR10 (Top 10 Brand Share) | [metrics.cr10]% | >90% = Closed Market | |
| Equivalent Number of Firms | [metrics.equivalent_firms] | Measure of market competition |
3. Brand Distribution & Composition
- Brand Type Counts:
| Brand Type | Count | Estimated Market Share |
|---|---|---|
| Major Brands | [brand_breakdown.major_brands] | [brand_breakdown.major_brand_share]% |
| Amazon Brands | [brand_breakdown.amazon_brands] | [brand_breakdown.amazon_share]% |
| Private Label | [brand_breakdown.private_label] | [brand_breakdown.private_label_share]% |
| Emerging Brands | [brand_breakdown.emerging] | - |
- Top Brands List (Showing Top 5):
| Rank | Brand Name | Market Share (SOV%) | Revenue Share (%) |
|---|---|---|---|
| 1 | [top_brands[0].brand_name] | [top_brands[0].sov_pct]% | [top_brands[0].revenue_share_pct]% |
| ... | ... | ... | ... |
4. Traffic & Sales Analysis
- Traffic Distribution:
- Organic Traffic Percentage: [traffic_analysis.organic_pct]%
- Sponsored Traffic Percentage: [traffic_analysis.sponsored_pct]%
- Traffic Type: [traffic_analysis.traffic_type]
- Assessment: [traffic_analysis.assessment]
- Estimated Total Market Revenue: [total_revenue_estimated]
- Top Converting ASINs (Showing Top 5):
| ASIN | Brand | Monthly Sales (Est.) | Conversion Rate (Est.) |
|---|---|---|---|
| [top_converting_asins[0].asin] | [top_converting_asins[0].brand] | [top_converting_asins[0].monthly_sales] | [top_converting_asins[0].conversion_rate]% |
| ... | ... | ... | ... |
5. Market Gaps Analysis
- Identified Market Gaps:
| Brand | SOV% | Revenue Share% | Gap Type | Insight |
|---|---|---|---|---|
| [gap_analysis[0].brand] | [gap_analysis[0].sov]% | [gap_analysis[0].revenue_share]% | [gap_analysis[0].gap_type] | [gap_analysis[0].insight] |
| ... | ... | ... | ... | ... |
6. Overall Recommendations
- All Recommended Strategies:
- Priority: [insights.recommended_strategy[0].priority], Strategy: [insights.recommended_strategy[0].strategy], Detail: [insights.recommended_strategy[0].detail]
- ... (Listing all key recommendations)
7. Attached Visualizations
- Market Share Pie Chart (market_share.png)
- Concentration Metrics Bar Chart (concentration.png)
- Brand Type Distribution (brand_types.png)
- Opportunity Bubble Chart (opportunity.png)
- Price Segment Revenue Chart (price_segments.png)
Gap Analysis Types
| Gap Type | Signal | Opportunity |
|---|---|---|
| HIGH_SOV_LOW_CONVERSION | High visibility, low sales | Pricing/review problem |
| LOW_SOV_HIGH_CONVERSION | Low visibility, high sales | Strong product, weak marketing |
Brand Classification
| Type | Description |
|---|---|
| Major Brand | >5% market share, established |
| Amazon Brand | Amazon Basics, private labels |
| Private Label | FBA sellers, white label |
| Emerging | <2% share, new entrants |
Charts Generated
| Chart | Description | File |
|---|---|---|
| Market Share Pie | By brand type | market_share.png |
| Concentration Bar | HHI/CR metrics | concentration.png |
| Brand Breakdown | Type distribution | brand_types.png |
| Opportunity Bubble | SOV vs Revenue | opportunity.png |
| Price Segments | Revenue by price tier | price_segments.png |
Workflow Integration
📊 Competition Phase
├── market-share-analyzer → Analyze brand concentration ← YOU ARE HERE
├── competitor-analyzer → Analyze competitors
└── review-checker → Check review barriers
Environment Variables
| Variable | Required | Description |
|---|---|---|
NEXSCOPE_API_KEY |
Yes | NexScope proxy API key |
NEXSCOPE_PROXY_BASE |
Yes | NexScope proxy base URL |
Limitations
- SOV data requires Jungle Scout access
- Revenue estimates are approximations
- Brand classification is heuristic-based
- Cross-validation may show discrepancies
- Category cleaner affects sample size
References
references/display-rules.md— Chart styling guidelines
Multi-Batch Usage
When analyzing more items than you want to run in a single invocation, keep charts and reports aligned by saving each batch as raw JSON and then generating one merged result.
Step 1: run each batch with --output to save intermediate JSON.
python3 scripts/market_share_analyzer.py '{"keyword": "example"}' --output /tmp/batch1.json
python3 scripts/market_share_analyzer.py '{"keyword": "example 2"}' --output /tmp/batch2.json
Step 2: merge every batch JSON and generate the final unified chart.
python3 scripts/market_share_analyzer.py --merge /tmp/batch1.json /tmp/batch2.json --sort score --chart /tmp/final-charts
Use the merged JSON output and /tmp/final-charts/merged_ranking.png for the final report. Do not present per-batch charts as final charts when the text report has been globally re-ranked.