# Amazon Seller Analytics

Seller storefront analysis and competitive intelligence for Amazon.

- Repository: https://github.com/nexscope-ai/Amazon-Skills (822 stars)
- Category: Marketing
- License: MIT
- Last updated: 2026-08-26
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add nexscope-ai/Amazon-Skills --skill amazon-seller-analytics -g -a claude-code -y`
Codex: `npx skills add nexscope-ai/Amazon-Skills --skill amazon-seller-analytics -g -a codex -y`
Cursor: `npx skills add nexscope-ai/Amazon-Skills --skill amazon-seller-analytics -g -a cursor -y`
Gemini CLI: `npx skills add nexscope-ai/Amazon-Skills --skill amazon-seller-analytics -g -a gemini-cli -y`

## Description

Seller storefront analysis and competitive intelligence for Amazon. Analyzes seller revenue estimation, product portfolio strategy, growth trajectory, and market positioning. Reverse-engineer successful seller strategies and identify expansion opportunities. Use when the user asks about analyzing sellers, competitor seller analysis, seller revenue estimation, storefront analysis, seller strategy, or learning from successful Amazon sellers.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Amazon Seller Analytics 📊

Analyze seller storefronts and reverse-engineer winning strategies. Competitive intelligence for Amazon success.

## Installation

```bash
npx skills add nexscope-ai/Amazon-Skills --skill amazon-seller-analytics -g
```

## Capabilities

- **Revenue estimation**: Calculate seller monthly/annual revenue from visible data
- **Product portfolio analysis**: Category diversification, pricing strategy, product mix
- **Growth trajectory tracking**: Historical expansion patterns and launch sequences  
- **Market positioning assessment**: Brand positioning, customer targeting, competitive advantages
- **Inventory strategy analysis**: Stock depth, product lifecycle management, seasonal planning
- **Pricing strategy evaluation**: Margin optimization, competitive positioning, price changes
- **Launch pattern identification**: How successful sellers introduce new products  
- **Multi-marketplace tracking**: Cross-platform seller presence and strategy

## Usage Examples

Users can ask naturally. Examples:

```
Analyze the seller "ANKER" on Amazon - revenue, strategy, product portfolio
```

```
Study how successful kitchen gadget sellers structure their storefronts
```

```
Compare seller strategies: "RAVPower" vs "AUKEY" in electronics
```

```
Analyze seller growth patterns in the yoga/fitness category
```

```
Research top sellers in baby products - what makes them successful?
```

```
Reverse engineer the strategy of sellers making $1M+ in home decor
```

## Workflow

### Step 1: Seller Identification & Basic Intelligence

Gather foundational seller information:

1. **Seller discovery**: `"top Amazon sellers [category]"` or analyze specific seller names
2. **Storefront access**: `"[seller name] Amazon storefront"` - find their seller page
3. **Basic metrics**: `"[seller name] Amazon seller feedback rating reviews"`
4. **Market presence**: `"[seller name] brand Amazon marketplace years"`

The rest: https://github.com/nexscope-ai/Amazon-Skills/blob/HEAD/amazon-seller-analytics/SKILL.md