# Amazon Sales Estimator Skill

> Amazon sales estimator for sellers and researchers: estimate monthly units, revenue, and market size from BSR, ASIN, or keyword. No API key required—start free.

- Canonical: https://nanoskill.ai/skills/amazon-sales-estimator-skill-c219
- Markdown: https://nanoskill.ai/skills/amazon-sales-estimator-skill-c219.md
- Author: nexscope-ai
- Published: 2026-07-13T04:09:11.102Z
- Updated: 2026-07-17T03:19:51.481Z
- Language: en
- Source type: github
- Popularity signal: 340

## Sources

- https://github.com/nexscope-ai/Amazon-Skills/blob/main/amazon-sales-estimator

## Install

```shell
npx skills add https://github.com/nexscope-ai/Amazon-Skills/blob/main/amazon-sales-estimator
```

## About

Amazon sales estimator skill helps sellers and product researchers instantly estimate monthly sales, revenue, and market size from BSR, ASIN, or keyword data across 12 marketplaces. It solves the problem of gauging product opportunity without costly tools by providing quick, actionable sales intelligence directly within your workflow.

Unlike complex SaaS platforms, this skill requires no API key and delivers three estimation modes: BSR calculator for rank-based projections, ASIN lookup for product-specific sales estimates, and keyword market analysis to size niches and benchmark competitors. It automatically adjusts for category multipliers and marketplace differences, giving you context-aware numbers.

Product researchers use it to validate demand before sourcing, sellers monitor competitor performance, and marketers evaluate keyword market size to prioritize launches. By integrating with other skills like keyword research and listing optimization, you can build an end-to-end Amazon analysis workflow that starts with market sizing and ends with revenue projections.

## Key features

- **BSR-Based Sales Projections**: The Amazon sales estimator turns any Best Seller Rank into reliable monthly unit and revenue figures using category-adjusted formulas.
- **ASIN Lookup with Auto-Fetch**: Enter an ASIN or product link and the Amazon sales estimator auto-fetches current data to produce a complete sales estimate with context.
- **Keyword Market Sizing**: Analyze total market sales, top competitors, and price distribution for any Amazon search term to size opportunities.
- **Competitive Benchmarking**: Understand market concentration and identify top sellers vs long-tail distribution with sales breakdowns and category context.
- **Multi-Marketplace Support**: Works across 12 Amazon marketplaces including US, UK, DE, JP, with conversion factors tailored to each region.

## Use cases

- **Estimate Product Sales from BSR**: Quickly convert any Best Seller Rank into monthly unit and revenue estimates for any Amazon category, perfect for competitive research.
- **Look Up Sales by ASIN**: Enter a product ASIN or URL to get an instant sales estimate with pricing and review context, ideal for product sourcing.
- **Size a Keyword Market**: Analyze total market sales, top sellers, and price distribution for a keyword to gauge niche opportunity size.
- **Benchmark Competitor Revenue**: Compare competitor sales estimates to understand market share and identify high-performing products in your niche.

## Result preview

Explore a real Amazon sales estimation report powered by this Skill.

![Cover page of an Amazon US market intelligence report titled 'WIRELESS HEADPHONES MARKET PULSE.' The layout is split into a white editorial panel on the left and a bold yellow graphic panel on the right. A black rounded label at the top-left reads 'AMAZON US MARKET INTELLIGENCE.' The main headline uses large uppercase sans-serif typography, with 'WIRELESS HEADPHONES' in black and 'MARKET PULSE' in bright yellow. Below, the subtitle states, 'BSR-based demand modeling, competitor economics and a practical entry thesis.' Near the lower-left, a keyword line reads 'KEYWORD / “BLUETOOTH WIRELESS HEADPHONES”.' A wide yellow market snapshot card displays estimated demand of approximately '85K units/mo' and approximately '$2.7M revenue/mo.' The right side features a large abstract illustration of over-ear headphones with thick black outlines, yellow ear cushions and headband accents, positioned over a pale gray rounded rectangle and a vertical yellow stripe. White text across the illustration reads 'DATA-DRIVEN CATEGORY ESTIMATE.' Minimal modern design with a high-contrast black, white and yellow palette, bold geometric forms and a professional market research presentation style.](https://file.nanoskill.ai/sales-estimator-outcome1.png)

![Slide from an Amazon US wireless headphones market intelligence report, page 02/06, titled 'Product, BSR & Sales Estimates' under the section label '01 / ESTIMATION LOGIC.' Subtitle: 'Marketplace: Amazon US. Category: Electronics / Headphones. All unit and revenue figures are modeled estimates, not Seller Central actuals.' The top section contains four KPI cards: 'KEYWORD SAMPLE' with '48 tracked' and note 'third-party snapshot'; 'AVG. TOP-10 PRICE' with '$26.78' and note 'April 2026 signal'; 'AVG. TOP-10 RATING' with '4.5 stars' and note 'mature review market'; and 'MODELED MARKET' with '$2.7M/mo' and note 'top-20 extrapolation.' The 'Triangulated sales logic' section presents three numbered methods: 1 'BSR BENCHMARK' — 'US BSR band × Electronics 1.2 multiplier.' 2 'VISIBLE VELOCITY' — '“Bought past month” / third-party unit signals.' 3 'RECONCILIATION' — 'Use a range; select midpoint after inconsistency check.' A large lower panel titled 'BSR-TO-SALES REFERENCE • AMAZON US ELECTRONICS' maps sales rank bands to estimated monthly unit sales: '#1-100' equals '3.6K-12K+ units/mo'; '#101-500' equals '1.2K-3.6K units/mo'; '#501-2K' equals '360-1.2K units/mo'; '#2K-10K' equals '120-360 units/mo'; '#10K-50K' equals '36-120 units/mo'; and '#50K+' equals '<36 units/mo.' Footer note: 'Formula baseline from Amazon Sales Estimator skill; marketplace factor 1.0, Electronics multiplier 1.2.' Clean white editorial layout with a yellow top border, bold black serif heading, rounded white KPI cards, yellow, blue, green and orange accents, and page number '02 / 06' in the bottom-right corner.](https://file.nanoskill.ai/sales-estimator-outcome2.png)

![Slide from an Amazon US wireless headphones market intelligence report, page 04/06, titled 'Price Segments & Market Concentration' under the section label '03 / MARKET STRUCTURE.' Subtitle: 'The category is large but winner-heavy. Price alone is not a moat: reviews, brand trust, ANC and battery-life proof drive conversion.' The left side presents a horizontal bar chart titled 'Modeled sales by price band.' The '$15-25 VALUE' segment accounts for 34% and 29K units, shown with a blue bar. The '$26-45 CORE' segment leads with 43% and 37K units, shown with a yellow bar. The '$46-80 STEP-UP' segment represents 16% and 14K units, shown with an orange bar. The '$80+ PREMIUM' segment represents 7% and 6K units, shown with a short black bar. On the right, a panel titled 'SALES CONCENTRATION • MODELED' contains a yellow donut chart showing '40% TOP 3 SHARE,' with supporting figures: Top 3 at 40%, Next 7 at 30%, and Long tail at 30%. A white callout titled 'PRICING GAP' recommends a $44-49 price point supported by credible hybrid ANC, 60H+ battery life, multipoint connection and a hard case, creating a stronger value ladder than competing directly at $19.99. A yellow callout titled 'LONG-TAIL OPENING' highlights opportunities including travel ANC headphones, small-head fit, work-call microphone, low-latency TV mode and colorful giftable variants. Footer note: 'Market concentration is modeled from the representative sample and top-20 extrapolation; it is not Amazon Brand Analytics data.' Clean editorial layout with an off-white background, bright yellow top border, bold black serif heading, color-coded data bars, rounded panels and page number '04 / 06' in the bottom-right corner.](https://file.nanoskill.ai/sales-estimator-outcome3.png)

![Slide from an Amazon US wireless headphones market intelligence report, page 05/06, titled 'Market Opportunities & Entry Risks' under the section label '04 / ENTRY THESIS.' Subtitle: 'A viable entrant needs a specific customer problem and proof architecture; “good sound at a low price” is already owned by review-rich incumbents.' The main section presents four opportunity cards in a two-by-two grid. Top-left card, accented with green, is labeled 'TRAVEL VALUE' and recommends 'Hybrid ANC + case at $44-49,' with the note 'Clear step-up from low-cost models.' Top-right card, accented with blue, is labeled 'FIT DIFFERENTIATION' and recommends 'Small-head / glasses-friendly design,' with the note 'Addresses a recurring comfort gap.' Bottom-left card, accented with yellow, is labeled 'CALL QUALITY' and recommends 'Mic demo + wind-noise proof,' with the note 'Owns work and commute use cases.' Bottom-right card, accented with orange, is labeled 'COLOR SYSTEM' and recommends 'Vibrant coordinated accessories,' with the note 'Improves click-through and gifting.' Below, a 'Risk register' section lists four risks with severity labels: 'HIGH — Review moat,' noting '40K-66K+ reviews on leaders'; 'HIGH — Promo volatility,' noting 'Deal pricing compresses margins'; 'MED — Feature parity,' noting 'ANC / battery claims are commoditized'; and 'MED — Return exposure,' noting 'Fit, comfort and sound are subjective.' Footer note: 'Entry recommendation assumes compliant electronics certification, realistic landed cost and sufficient review-generation runway.' Clean editorial layout with an off-white background, bright yellow top border, bold black serif heading, rounded white cards, green, blue, yellow and orange accents, and page number '05 / 06' in the bottom-right corner.](https://file.nanoskill.ai/sales-estimator-outcome4.png)

## Result walkthrough

### Install

Add the Amazon Sales Estimator Skill to your AI agent.

![Screenshot of an AI chat interface showing the installation of the Amazon Sales Estimator skill from Nexscope's Amazon-Skills GitHub repository. At the top, a dark blue user message contains the command 'npx skills add https://github.com/nexscope-ai/Amazon-Skills/blob/main/amazon-sales-estimator.' Below, a large light-gray assistant response explains the installation workflow: loading the relevant monorepo installation skill, recognizing that the supplied GitHub link is a blob page rather than a raw SKILL.md file, checking the raw URL, retrying after a timeout, fetching the file directly, installing it with the proper npx repository format, and verifying the Hermes symlink. The confirmation states that the 'amazon-sales-estimator' skill is installed and enabled at '~/.agents/skills/amazon-sales-estimator/' with a symlink from '~/.hermes/skills/amazon-sales-estimator.' The response lists three operating modes: 'A — BSR Calculator,' which estimates sales from BSR, category, and price; 'B — ASIN Lookup,' which automatically fetches product data and estimates sales; and 'C — Keyword Market Analysis,' which evaluates niche market opportunities. The interface has a white background, rounded message panels, a Hermes-style icon beside the assistant response, a token counter reading '2,658,554 tokens' near the top, and a message input field at the bottom.](https://file.nanoskill.ai/sales-estimator-install.png)

### Describe Task

Enter a product ASIN, BSR, category, price, marketplace, or target keyword to estimate daily sales, monthly sales, and revenue.

![Screenshot of an AI chat interface showing a detailed prompt for creating a data-driven Amazon sales estimation and market intelligence report. The large dark blue user message instructs the AI to act as an award-winning Amazon Market Intelligence Director from a world-class e-commerce strategy agency. The requirements include analyzing the marketplace, product category, Best Sellers Rank or BSR, selling price, ASIN, keyword search results, ratings, review volume, and available competitor data. It asks the AI to estimate daily sales, monthly sales, and monthly revenue using BSR-based benchmarks while clearly explaining all assumptions; compare leading products, price ranges, sales concentration, and long-tail opportunities; identify market opportunities, pricing gaps, entry risks, and positioning recommendations; and clearly distinguish estimates from actual Seller Central data. The prompt also requires the initial estimates to be critiqued and refined before exporting the final result as a visually striking six-page PDF. The requested page structure includes: Cover and Market Snapshot; Product, BSR, and Sales Estimates; Competitor Sales and Revenue Comparison; Price Segments and Market Concentration; Market Opportunities and Entry Risks; and Final Findings and Recommended Action Plan. The final report is expected to feature transparent estimation logic, bold data visualization, scorecards, charts, commercial insights, and actionable recommendations. Below, a light-gray assistant response says it will load the relevant skill, search for actual Amazon product data, and select a fast-moving, competitive but accessible consumer product category for the analysis. Clean white interface with rounded message panels, dark blue prompt block, black sans-serif text, and a professional AI market research workflow presentation.](https://file.nanoskill.ai/sales-estimator-task.png)

### Generate Outcome

Get actionable insights on competitor performance, price segments, market concentration, entry opportunities, and sales risks.

![Cover page of an Amazon US market intelligence report titled 'WIRELESS HEADPHONES MARKET PULSE.' A black rounded label at the top reads 'AMAZON US MARKET INTELLIGENCE.' The main headline uses bold uppercase sans-serif typography, with 'WIRELESS HEADPHONES' in black and 'MARKET PULSE' in bright yellow. Below, the subtitle states, 'BSR-based demand modeling, competitor economics and a practical entry thesis.' A keyword line reads 'KEYWORD / “BLUETOOTH WIRELESS HEADPHONES”.' Near the bottom, a wide yellow market snapshot card displays estimated demand of approximately '85K units/mo' and approximately '$2.7M revenue/mo.' The right side contains a cropped abstract headphone-inspired graphic with thick black outlines, yellow bands and rounded geometric forms on a pale gray panel. Minimal white background, high-contrast black-and-yellow palette, bold editorial typography and modern market research presentation style.](https://file.nanoskill.ai/sales-estimator-outcome.png)

## Skill definition

---
name: amazon-sales-estimator
description: "Amazon sales volume estimator for sellers and product researchers. Estimate monthly sales and revenue from BSR (Best Seller Rank), ASIN, or keyword. Three modes: (A) BSR Calculator — input BSR + marketplace + price + category to get instant sales estimate, (B) ASIN Lookup — input ASIN to auto-fetch data and estimate sales, (C) Keyword Market Analysis — input keyword to analyze total market size and competition. Works on 12 Amazon marketplaces. No API key required. Use when: (1) estimating how many units a product sells per month, (2) sizing a market or niche opportunity, (3) analyzing competitor sales performance, (4) comparing sales across price points, (5) identifying top sellers vs long-tail distribution."
metadata: {"nexscope":{"emoji":"📊","category":"amazon"}}
---

# Amazon Sales Estimator 📊

Estimate monthly sales from BSR, analyze market size, and benchmark competitor performance. No API key — works out of the box.

## Installation

```bash
npx skills add nexscope-ai/Amazon-Skills --skill amazon-sales-estimator -g
```

## Three Modes

| Mode | When to Use | Input | Output |
|------|-------------|-------|--------|
| **A — BSR Calculator** | Quick estimate from known BSR | BSR + Marketplace + Price + Category | Monthly units, monthly revenue |
| **B — ASIN Lookup** | Estimate sales for a specific product | ASIN or product URL | Auto-fetch data + sales estimate |
| **C — Keyword Market Analysis** | Size a niche opportunity | Keyword (+ optional marketplace) | Total market sales, top sellers, price distribution |

## Capabilities

- **BSR-to-sales conversion**: Estimate monthly unit sales from Best Seller Rank using category-specific formulas
- **Revenue calculation**: Monthly sales × price = estimated monthly revenue
- **Market sizing**: Aggregate sales across products in a keyword search
- **Price band analysis**: Distribution of sales across price ranges
- **Competition breakdown**: Top sellers vs long-tail distribution
- **Multi-marketplace**: US, UK, DE, FR, IT, ES, JP, CA, AU, IN, MX, BR

## Handling Incomplete Input

If the user's intent is unclear or information is missing, guide them with all options and required inputs upfront:

**User says:** `"Help me estimate Amazon sales"` or `"I want to check sales"`

**Agent should respond:**

> I can help you estimate Amazon sales in 3 ways. Pick one and provide the required info:
>
> **A. BSR Calculator** — Quick estimate from BSR number
> - BSR (required): e.g., 1500
> - Category (required): e.g., Home & Kitchen
> - Price (required): e.g., $24.99
> - Marketplace (optional, default US)
>
> **B. ASIN Lookup** — Check sales for a specific product
> - ASIN or URL (required): e.g., B09V3KXJPB
> - Marketplace (optional, default US)
>
> **C. Market Analysis** — Size a keyword/niche opportunity
> - Keyword (required): e.g., "yoga mat"
> - Marketplace (optional, default US)
> - Filters (optional): price range, min reviews
>
> Example: "Mode A: BSR 1500, Home & Kitchen, $24.99" or "Mode B: B09V3KXJPB"

---

## Mode A — BSR Calculator

### Input

| Field | Required | Description | Example |
|-------|----------|-------------|---------|
| **BSR** | ✅ | Best Seller Rank number | 1500 |
| **Marketplace** | ✅ | Amazon site | US, UK, DE, JP... |
| **List Price** | ✅ | Product price | $24.99 |
| **Category** | ✅ | Product category | Home & Kitchen |

### Usage Examples

```
Estimate sales for BSR 1500 in Home & Kitchen on Amazon US, price $24.99
```

```
BSR 500, category Electronics, marketplace DE, price €39.99
```

```
What's the monthly sales for a product ranked #10,000 in Sports & Outdoors at $15.99?
```

### Workflow

1. **Receive input**: BSR, Category, Price, Marketplace
2. **Look up base sales**: Use BSR-to-sales reference table for the marketplace
3. **Apply category multiplier**: Adjust based on category (Electronics 1.2x, Clothing 0.8x, etc.)
4. **Calculate monthly units**: Base sales × category multiplier
5. **Calculate revenue**: Monthly units × price
6. **Output results**: Monthly units, daily units, monthly revenue

### Output

```
# 📊 Sales Estimate

**Input:**
- BSR: #1,500 in Home & Kitchen
- Marketplace: Amazon US
- Price: $24.99

**Results:**

| Metric | Estimate |
|--------|----------|
| **Est. Monthly Units** | ~450 units |
| **Est. Monthly Revenue** | ~$11,246 |
| **Est. Daily Units** | ~15 units |

*Estimate based on BSR-to-sales conversion formula for the selected category and marketplace.*
```

---

## Mode B — ASIN Lookup

### Input

| Field | Required | Description | Example |
|-------|----------|-------------|---------|
| **ASIN** | ✅ | Amazon product ID or URL | B09V3KXJPB |
| **Marketplace** | Optional | Defaults to US | UK, DE, JP... |

### Usage Examples

```
Estimate monthly sales for ASIN B09V3KXJPB
```

```
How many units does this sell? https://www.amazon.com/dp/B0D72TSM62
```

```
Get sales estimate for B0CPY1GFVZ on Amazon DE
```

### Workflow

1. **Fetch product data** using `web_fetch` on Amazon product page
2. **Extract**: Title, Price, BSR, Category, Rating, Reviews
3. **Apply BSR-to-sales formula** for the category and marketplace
4. **Calculate revenue**: Monthly units × Price

### Output

```
# 📊 Sales Estimate: B09V3KXJPB

## Product Info
- **Title:** [Product Title]
- **Price:** $24.99
- **BSR:** #1,500 in Home & Kitchen
- **Rating:** 4.5★ (1,234 reviews)

## Sales Estimate

| Metric | Estimate |
|--------|----------|
| **Est. Monthly Units** | ~450 units |
| **Est. Monthly Revenue** | ~$11,246 |
| **Est. Daily Units** | ~15 units |

## Competitive Context
- Ranks in **top 0.5%** of Home & Kitchen category
- Above average for $20-30 price range
```

---

## Mode C — Keyword Market Analysis

### Input

| Field | Required | Description | Example |
|-------|----------|-------------|---------|
| **Keyword** | ✅ | Search term | yoga mat |
| **Marketplace** | Optional | Amazon site (default: US) | UK, DE, JP... |
| **Filters** | Optional | Price range, min reviews | $15-$40, 100+ reviews |

### Usage Examples

```
Analyze the market size for "yoga mat" on Amazon US
```

```
What's the total monthly sales for "portable blender" keyword?
```

```
Size the "dog shirt" market on Amazon US. Show top sellers and price distribution.
```

### Workflow

1. **Search products** using `web_search` for `site:amazon.com "{keyword}"`
2. **Fetch top 10-20 product pages** to get BSR data
3. **Estimate sales for each product** using Mode A formula
4. **Aggregate** total market size
5. **Analyze** price distribution and competition

### Output

```
# 📊 Market Analysis: "yoga mat"

**Marketplace:** Amazon US | **Products Analyzed:** 25

## Market Size

| Metric | Value |
|--------|-------|
| **Est. Total Monthly Units** | ~85,000 units |
| **Est. Total Monthly Revenue** | ~$2.1M |
| **Average Price** | $24.50 |

## Top 5 Sellers

| # | ASIN | Price | BSR | Est. Units/Mo |
|---|------|-------|-----|---------------|
| 1 | B0XX... | $22.99 | #45 | ~8,500 |
| 2 | B0YY... | $29.99 | #78 | ~6,200 |
| 3 | B0ZZ... | $18.99 | #120 | ~4,800 |
| ... | ... | ... | ... | ... |

## Market Concentration

- **Top 3:** 23% of total sales
- **Top 10:** 52% of total sales
- **Long tail:** 48% of total sales

→ **Fragmented market** — opportunity for new entrants

## Price Distribution

| Price Band | % of Sales |
|------------|------------|
| $0 - $20 | 25% |
| $20 - $35 | 55% |
| $35+ | 20% |

**Sweet spot:** $20-$35
```

---

## BSR-to-Sales Reference

### Amazon US — Baseline (Home & Kitchen)

| BSR Range | Est. Monthly Sales |
|-----------|-------------------|
| 1-100 | 3,000 - 10,000+ |
| 100-500 | 1,000 - 3,000 |
| 500-2,000 | 300 - 1,000 |
| 2,000-10,000 | 100 - 300 |
| 10,000-50,000 | 30 - 100 |
| 50,000-100,000 | 10 - 30 |
| 100,000+ | < 10 |

### Category Multipliers

| Category | Multiplier |
|----------|------------|
| Electronics | 1.2x |
| Home & Kitchen | 1.0x |
| Toys | 1.1x |
| Sports & Outdoors | 0.9x |
| Clothing | 0.8x |
| Books | 0.7x |

### Marketplace Adjustments

| Marketplace | Factor |
|-------------|--------|
| US | 1.0x |
| JP | 0.6x |
| DE | 0.5x |
| UK | 0.4x |
| CA | 0.3x |
| Others | 0.2x |

---

## Integration with Other Skills

This skill works well when chained with other skills from the [Nexscope Amazon-Skills](https://github.com/nexscope-ai/Amazon-Skills) and [eCommerce-Skills](https://github.com/nexscope-ai/eCommerce-Skills) repositories.

### With amazon-keyword-research

```bash
npx skills add nexscope-ai/Amazon-Skills --skill amazon-keyword-research -g
```

```
Step 1: "Research keywords for yoga mat"
   → amazon-keyword-research returns keyword list with search volumes

Step 2: "Now analyze the market size for the top keyword"
   → amazon-sales-estimator Mode C sizes the opportunity
```

### With amazon-listing-optimization

```bash
npx skills add nexscope-ai/Amazon-Skills --skill amazon-listing-optimization -g
```

```
Step 1: "Estimate sales for competitors: B0ABC, B0XYZ"
   → amazon-sales-estimator Mode B provides benchmark data

Step 2: "Create a listing to beat those competitors"
   → amazon-listing-optimization generates optimized copy
```

### With amazon-ppc-campaign

```bash
npx skills add nexscope-ai/Amazon-Skills --skill amazon-ppc-campaign -g
```

```
Step 1: "Estimate my product's monthly sales"
   → amazon-sales-estimator provides revenue baseline

Step 2: "Build PPC campaigns with 30% ACoS target"
   → amazon-ppc-campaign calculates bids based on your revenue data
```

### More Skills

Browse all available skills:
- **Amazon Skills:** https://github.com/nexscope-ai/Amazon-Skills
- **eCommerce Skills:** https://github.com/nexscope-ai/eCommerce-Skills

---

## Limitations

This skill uses publicly available data from Amazon product pages. It cannot access historical BSR data, actual seller sales figures, or PPC conversion metrics. For deeper analytics and historical trends, 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.

## FAQ

### What is the Amazon sales estimator skill?

It's a skill that estimates monthly unit sales and revenue on Amazon using BSR, ASIN, or keyword input across 12 marketplaces, with no API key required.

### How accurate are the sales estimates?

Estimates are based on publicly available BSR-to-sales conversion formulas and category multipliers. They provide a reliable approximation but not exact seller data, as actual sales figures are not publicly available.

### Is an API key required to use this skill?

No API key is needed. The skill works out of the box by fetching public Amazon data.

### Which Amazon marketplaces are supported?

US, UK, DE, FR, IT, ES, JP, CA, AU, IN, MX, BR.

### How do I estimate sales using a BSR number?

Select Mode A, provide the BSR, marketplace, price, and category. The skill will output estimated monthly units and revenue.

### Can I analyze a market by keyword?

Yes, Mode C lets you input a keyword to get total market size, top sellers, and price distribution.