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<\/a><\/a>\nAs traditional reach metrics lose their value and third-party tracking disappears, this multi-brand program, covering tourism, retail, and higher education, has centered its strategy on high-precision behavioral modeling rather than outdated proxy-based tracking like cookies. Since launching in 2025, the partnership has scaled to 26 campaigns for 17 brands, proving in head-to-head testing that Yobi-targeted inventory can deliver an average of 3.7x higher engagement and up to 40% better cost efficiency than standard inventory.<\/p>
\nMost programmatic tools struggle to tell the difference between a window shopper and a buyer. By leveraging Yobi\u2019s proprietary dataset, which connects 5.5 trillion transaction signals and 50 million active TVs, The Shipyard can now identify the exact moment a consumer is ready to make a purchase.<\/p>
\n\"The industry has spent a decade optimizing for clicks, but a click isn't a customer,\" said Max Snow, CEO and Cofounder of Yobi.<\/b> \"Our foundational model doesn't just look for people who look like buyers, it uses over 700 billion parameters to identify the specific behavioral patterns that precede a purchase decision. Partnering with The Shipyard allows us to prove that when you eliminate the noise of casual browsing, the efficiency gains are immediate and massive.\"<\/p>
\nYobi partnered with The Shipyard because of the agency\u2019s reputation as a premier independent, performance-first media partner with the strategic discipline to test, validate, and scale new solutions responsibly for clients. The partnership is now expanding into new verticals for 2026, moving Yobi\u2019s data capabilities into the earliest stages of campaign strategy.<\/p>
\n\u201cCookies were always a proxy, not the customer. What matters now is identifying signals that tell us when someone is actually closer to a decision, and Yobi gives us a way to do that. That allows us to be more intentional with spend and build audience strategy around real-time behavior instead of broad demographic assumptions, or static third-party segments,\u201d said Amanda Wallingford, Programmatic Director at The Shipyard. <\/b>\u201cThe value is in being able to act on what consumers are showing us now, which creates a more relevant and effective path to performance.\u201d<\/p>
\nUnlike traditional identity graphs that rely on static PII (Personally Identifiable Information), Yobi\u2019s foundational model is built on 700 billion non-public parameters. At training time, behavioral signals are transformed into model embeddings that capture activity patterns while preserving privacy, allowing for high-intent targeting without ever storing raw, identity-level records.<\/p>
\nAbout Yobi:<\/b><\/p>
\nYobi was founded to advance both commercial innovation and the scientific study of human behavior. Its team includes world-class machine learning experts who have built cutting-edge recommendation systems and AI products at Amazon, Uber, Twitter, Meta, and more.<\/p>