What the Data Shows
Using the Product Pricing Intelligence Dataset covering 154,000+ live ecommerce products, real discount behavior becomes measurable — not assumed.
Across the dataset, several patterns repeat consistently:
A small percentage of brands account for most meaningful discounts
Many products marked "on sale" show little to no actual price movement
Larger, established brands discount less frequently but more predictably
This isn't scraped promotional copy or affiliate summaries — it's product-level pricing data captured directly from live storefronts.
Why Pricing Data at This Scale Matters
Most ecommerce pricing analysis relies on:
- Anecdotal examples
- Small datasets
- Storefront claims
At scale, pricing behavior becomes statistical — and marketing narratives start to break down.
This dataset enables:
- →Brand discount consistency tracking — identify who holds price and who blinks
- →Detection of artificial "compare-at" pricing — separate real discounts from fake MSRPs
In other words, it shows how ecommerce pricing actually works.
Who This Dataset Is For
If pricing accuracy matters, raw data beats assumptions.
Explore the Product Pricing Intelligence Dataset
All analysis published here is powered by a continuously expanding dataset containing:
- Product price and reference price (compare-at)
- Large-scale coverage across online retail
- Weekly updates with historical tracking
"Late at night, when hype disappears, pricing data tells the truth."
That's what this dataset is built to surface.