A data-driven diagnostic tool that quantifies Amazon listing performance and traffic potential using the A9 algorithm framework.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install amazon-push-score
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-push-score 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 Push Score & Traffic Tier Analyzer?
The amazon-push-score skill is a specialized diagnostic system designed to calculate a listing's internal weight within the Amazon ecosystem. By leveraging Openclaw Skills, users can input four critical performance metrics to receive a quantified score that mirrors the A9 algorithm's logic. This allows sellers to understand exactly how their products are perceived by the platform's recommendation engine.
The core value of this skill lies in its ability to categorize listings into specific traffic pools, ranging from the A+ Golden Pool to the C-level Low Weight Pool. By identifying which dimension—CTR, CVR, growth velocity, or account health—is dragging down the overall score, users can stop guessing and start implementing high-ROI optimization strategies provided by Openclaw Skills.
Amazon Push Score & Traffic Tier Analyzer Use Cases
- Determining the current traffic tier classification for any Amazon SKU.
- Identifying whether low traffic is a result of poor click-through rates or conversion signals.
- Benchmarking listing performance against industry standards for categories like Electronics, Home, and Beauty.
- Generating data-backed optimization roadmaps for products stuck in low-visibility cycles.
How Amazon Push Score & Traffic Tier Analyzer Works
- The user inputs four primary metrics: CTR (%), CVR (%), 7-day growth velocity, and an account health score (0.0 to 1.0).
- The skill applies a normalized weighting formula where CVR is prioritized at 40% to reflect the A9 algorithm's focus on purchase intent.
- A final push score between 0 and 100 is calculated based on industry-standard benchmarks.
- The system maps the score to a specific traffic pool (A+, A, B, or C) and generates a tailored optimization strategy.
Amazon Push Score & Traffic Tier Analyzer Setup
To integrate this diagnostic logic into your AI agent workflow using Openclaw Skills, follow these configuration steps:
# Initialize the skill within your agent environment
openclaw install amazon-push-score
# Input metrics following this strict format:
# [CTR] + [CVR] + [7-Day Growth] + [Health Score]
# Example: 1.2 + 14 + 4 + 0.96
Amazon Push Score & Traffic Tier Analyzer Data Schema & Taxonomy
The skill organizes its analysis using a 4-dimensional weight matrix to ensure accurate scoring through Openclaw Skills:
| Dimension | Weight | Target Benchmark | Role in A9 |
|---|---|---|---|
| CTR | 20% | 2% - 3% | User matching & relevance |
| CVR | 40% | 10% - 15% | Product trust & purchase intent |
| 7-Day Growth | 20% | 3 - 5 | Market acceptance & momentum |
| Health Score | 20% | 0.95+ | Compliance & safety assurance |
Amazon Push Score & Traffic Tier Analyzer Advanced Features
- Traffic Pool Classification: Automatically determines if a listing qualifies for priority exposure in the Golden Traffic Pool.
- Category-Specific Benchmarking: Provides tailored targets for 3C electronics, apparel, pet supplies, and outdoor sports.
- Strategic Matrix Generation: Delivers prioritized action items focusing on the dimension with the highest ROI impact.
- Synergy with Openclaw Skills: Seamlessly connects with amazon-listing-doctor and amazon-ads-optimizer for full-funnel execution.
SKILL.md
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