Overview

The Sales Estimates dataset provides estimated sales volume and revenue for products listed on Amazon. By analyzing historical data such as Best Sellers Rank (BSR), price, and category, this dataset helps you understand product performance, identify opportunities, and make data-driven decisions.

Use Cases

• Product Research: Identify high-demand, low-competition products
• Competitor Analysis: Benchmark your performance against competitors
• Inventory Planning: Forecast demand and optimize stock levels

How It Works

Our algorithm converts product rank evolution into daily sales estimates, leveraging Amazon’s category hierarchy to ensure accuracy. Sales estimates are computed at the parent-level .

Key Features

• Extrapolation Logic: Fills missing values to provide consistent datasets.
• Dynamic Data: Estimates update daily based on BSR and market trends.
• Ongoing Updates: Estimates are adjusted to reflect market changes.

How to Get Sales Estimates

Tracking an Amazon Category

• Data History: Depending on the Category, access up to 2 years of historical BSR data.
• Dynamic Updates: Automatically reflects changes in product rankings.