Can I export my data?

Currently data is stored locally. You can view trends and data points in the tracker. Export functionality may be added in future updates.

Research Workflow (Recommended)

1) Generate product ideas 2) Validate product opportunity 3) Measure competition depth

Stay On Track: Product Research Playbook

~3 min checklist

Generate more product ideas Score opportunity and risk Read: common calculation mistakes

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Historical Sales Data Tracker

Track and visualize sales data, BSR trends, price history, and performance metrics over time

Updated January 1, 2026

Data Source: Estimated (Audited)

Last updated: January 15, 2026 - Amazon 2026 fee rates

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Historical Sales Tracker

Track sales, BSR, and price history over time

Your Products

No products tracked yet

Click "Add Product" to start tracking

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No Product Selected

Select a product from the list to view historical data

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How to use this tool

Open Historical Sales Tracker and enter your product, fee, or campaign inputs.
Select the correct Amazon marketplace for accurate fee rates.
Review the output alongside profit and ROI from our core calculators.
Validate demand and competition before you commit to inventory or ad spend.

Common mistakes

Using estimates without 2026 referral and FBA fees for your category
Ignoring PPC, returns, and storage when judging profitability
Ordering inventory before running the product validation checklist
Treating BSR or sales estimates as guaranteed revenue

Related free tools

Profit Calculator Bsr Sales Estimator Product Validator Keyword Difficulty Tool

Guides & next steps

Estimates use Amazon's published fee structure. See our fee accuracy report for verification details and limitations.

Frequently asked questions

What is Historical Sales Tracker?

Historical Sales Tracker allows you to record and track sales data, BSR, prices, reviews, and ratings over time for your Amazon products. It helps you identify trends and make data-driven decisions.

How do I track a product?

Click "Add Product" and enter product name, category, and initial data (BSR, price, reviews, rating). Then you can add data points regularly to track changes over time.

How often should I add data points?

For best results, add data points weekly or bi-weekly. More frequent tracking gives better trend analysis, but weekly is usually sufficient for most sellers.

Is my data stored locally?

Yes, data is stored in your browser's local storage. This means it's only available on the device and browser you use. Clear your browser data will delete tracked products.

How accurate are sales estimates?

Sales estimates are calculated from BSR using category-specific formulas. They are estimates and actual sales may vary. Use them as a guide for trends rather than exact numbers.