Exposing Amazon's Systematic Exploitation of Third-Party Seller Data
Amazon has long denied using third-party seller data to develop competing private-label products, but our investigation has uncovered internal programs that do exactly that. Through a combination of whistleblower testimony, leaked documents, and data analysis of over 15,000 Amazon Basics product launches, we demonstrate that Amazon systematically identifies the most profitable third-party products, accesses proprietary seller data including cost structures and supplier information, and launches competing products at lower prices. An estimated 850,000 marketplace sellers have been affected, with cumulative revenue losses exceeding $40 billion since 2017.
Project Goldmine: The Internal Data Pipeline
Internal documents reveal a program codenamed Project Goldmine that systematically aggregated third-party seller data to identify product opportunities for Amazon's private-label brands. The program, operated by Amazon's private-brands division, accessed granular data including unit economics, supplier names and contact information, return rates, and customer complaint categories. This data, which sellers were told would be used only to improve the marketplace, was instead routed to product development teams tasked with creating Amazon-branded alternatives. Between 2018 and 2024, Project Goldmine identified over 4,200 product categories for private-label entry, resulting in the launch of approximately 2,800 competing products across Amazon Basics, Amazon Essentials, and other house brands.
The Buy Box Manipulation
Beyond data exploitation, our investigation reveals that Amazon manipulates its Buy Box algorithm to favor its own products over third-party alternatives. The Buy Box, which captures approximately 83% of all Amazon purchases, uses an algorithm that Amazon claims rewards low prices and fast shipping. However, internal testing documents show that Amazon products receive a systematic advantage equivalent to a 3-5% price discount in the algorithm. This means an Amazon Basics product priced identically to a third-party alternative will win the Buy Box approximately 78% of the time. Former algorithm engineers confirmed that this advantage was deliberately coded into the system and has been maintained through multiple algorithm updates.
Seller Testimony and Revenue Impact
We interviewed 47 marketplace sellers across six product categories who experienced direct competition from Amazon private-label products. The pattern was remarkably consistent. Within 6-12 months of a product achieving strong sales velocity, sellers reported Amazon launching a near-identical product at 15-25% lower prices. Average revenue declines of 62% were reported within the first year of Amazon's entry. Several sellers described discovering that Amazon had contacted their own suppliers to source identical products. One electronics accessories seller reported losing $3.2 million in annual revenue within eight months of Amazon Basics launching a competing product line that replicated his exact product specifications and packaging design.
Key Findings
- Internal program Project Goldmine identified over 4,200 product categories for private-label entry using proprietary third-party seller data between 2018 and 2024.
- Amazon products receive a 3-5% algorithmic advantage in Buy Box placement over identically priced third-party alternatives.
- Sellers report average revenue declines of 62% within the first year of Amazon launching competing private-label products in their category.
- Cumulative seller revenue losses from Amazon's private-label strategy are estimated to exceed $40 billion since 2017.
Timeline
Amazon significantly expands Amazon Basics product line, launching 340 new products in Q1 alone.
Congressional hearing reveals Amazon executives misled Congress about use of seller data.
FTC files comprehensive antitrust suit against Amazon including seller data exploitation claims.
Whistleblower provides internal Project Goldmine documentation to OPV investigators.