Building Distributed Marketplace Feedback Loops
Andrew Yates, CEO of Promoted.ai, on driving marketplace ARPU with personalization
The core moat in large internet businesses usually comes from owning the system that all demand must pass through. Google can improve ads because intent is captured inside search. Facebook can improve ads because actions across surfaces resolve to a persistent identity graph. Amazon can improve ads because ranking, checkout, delivery, and post purchase behavior all sit inside one fulfillment loop. A decentralized marketplace network has to recreate optimization without owning that central control point.
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Google and Facebook are examples of media systems where better prediction directly improves both user experience and monetization, because the same platform observes the click, the conversion, and the next session. That closed loop is what makes small ranking gains compound.
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Amazon is different. Its advantage is not just traffic, it is control of the physical transaction. When Amazon handles fulfillment, delivery reliability becomes part of ranking and seller monetization, which is why ads, commissions, and fulfillment fees reinforce each other.
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This is why software vendors like Mirakl and Promoted exist. Retailers and vertical marketplaces want Amazon style marketplace economics and ad margins, but they do not share a common identity layer, a common search box, or a common logistics backbone, so they need tools that coordinate across fragmented apps and sellers.
The next phase is a market where more commerce companies outsource optimization infrastructure while keeping their own brand, catalog, and customer relationship. As retail media and marketplace ads spread beyond Amazon, the winners will be the platforms that can create a usable feedback loop from search, browsing, transaction, and fulfillment data without forcing everything into one centralized consumer app.