Charm's product sales estimates are built on daily tracking of publicly available product and pricing data across DTC storefronts. Our proprietary modeling system processes signals across hundreds of thousands of products to generate estimates for three key metrics at the individual product level:
Revenue
Units Sold
Average Price
We continuously validate our models against known data points and refine them over time to ensure accuracy.
How the data works
Data is updated daily with a rolling 30-day history, giving you the ability to track trends, spot spikes around promotions or shopping events, and monitor performance over time.
What it's designed for
Our models are purpose-built for the DTC ecosystem and support:
Competitive benchmarking
Assortment tracking
Identifying breakout products and trends across the brands that matter to you