An advanced market intelligence agent for Openclaw Skills designed to transform raw Amazon brand data into actionable growth strategies and competitive insights.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install amazon-brand-analytics
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install amazon-brand-analytics using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Amazon Brand Analytics Agent?
The Amazon Brand Analytics skill is a powerful tool within the Openclaw Skills ecosystem that empowers sellers and brand managers to mine Amazon's proprietary data for market opportunities. By processing search query performance, customer loyalty metrics, and demographic insights, this agent helps users identify unserved market segments and competitive threats with technical precision.
This agent goes beyond basic reporting by applying a strategic framework to your data. Whether you are looking to optimize conversion shares, identify blue ocean opportunities, or develop a robust market basket bundle strategy, the Amazon Brand Analytics agent provides the analytical horsepower needed to make data-driven decisions in a crowded marketplace.
Amazon Brand Analytics Agent Use Cases
- Identifying high-volume search terms with low brand competition for targeted keyword expansion.
- Analyzing click share vs. conversion share gaps to diagnose listing or pricing issues.
- Detecting market basket trends to create high-converting product bundles.
- Benchmarking customer loyalty via repeat purchase rate analysis against category standards.
- Mapping buyer demographics to refine advertising imagery and copy positioning.
How Amazon Brand Analytics Agent Works
- Data Ingestion: The agent receives exported data from the Amazon Brand Analytics dashboard or specific ASIN/category inputs.
- Metric Processing: It calculates key performance indicators such as Click Share, Conversion Share, and Opportunity Scores using the Openclaw Skills framework.
- Strategic Filtering: The agent cross-references search volume ranks with brand dominance to identify fragmented market segments.
- Comparative Analysis: It performs head-to-head brand comparisons to highlight competitor strengths and weaknesses.
- Reporting: The process culminates in a comprehensive intelligence report featuring actionable monthly plans and threat maps.
Amazon Brand Analytics Agent Setup
To integrate this capability into your environment, ensure you have the Openclaw Skills CLI installed and then configure the brand analytics workspace:
# Navigate to your project directory
cd ~/my-ecommerce-project
# Initialize the brand analytics directory structure
mkdir -p ~/brand-analytics/{search-queries,opportunities,competitors,demographics,reports}
# Run your first analysis
brand analyze <your-brand-name>
Amazon Brand Analytics Agent Data Schema & Taxonomy
The Amazon Brand Analytics agent organizes data within a structured local filesystem to ensure historical tracking and easy retrieval of Openclaw Skills outputs:
| Directory | Data Type | Purpose |
|---|---|---|
/search-queries/ |
CSV/JSON | Monthly snapshots of click and conversion share performance. |
/opportunities/ |
Markdown | Ranked lists of whitespace segments and opportunity scores. |
/competitors/ |
Profile Logs | Comparative analysis and intelligence on rival brand performance. |
/demographics/ |
Reports | Detailed breakdowns of age, income, and gender-based buyer profiles. |
/reports/ |
PDF/MD | Finalized comprehensive brand intelligence and action plans. |
Amazon Brand Analytics Agent Advanced Features
- Whitespace Identification: Automatically scores market segments based on Volume × (1 - Max Click Share).
- Click-to-Conversion Gap Detection: Specialized logic to flag products where traffic is high but conversion is lagging.
- Dynamic Bundling Engine: Generates bundle strategies based on frequent market basket co-purchases.
- Multi-Brand Benchmarking: Tracks performance trends over multiple months to identify declining or growing market presence.
SKILL.md
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