Treasure AI's Personalization Studio Lets Marketers Skip the Dev Queue
Marketers know the drill: you have a personalization idea, but getting it live means putting in a request to the data or web team, then waiting. Treasure AI just announced a tool designed to break that cycle.
Unveiled at the company's Agentic World 2026 conference, Personalization Studio is a marketer-facing interface that connects directly to Treasure AI's unified customer data platform. It combines batch profile data — purchase history, loyalty status, audiences — with real-time behavioral signals to deliver personalized web experiences in under a second. CPO Rafa Flores told MarTech that marketers can now build and launch a personalization campaign in 10 minutes, without touching a data pipeline.
The announcement also included a shift in pricing. Treasure AI is moving to an engagement-based model that ties email costs to customer clicks rather than message volume. Flores framed it as a direct bet on the platform's ability to improve outcomes — if click-through rates don't improve, the company pays the price.
The move reflects a broader trend: as AI-powered tools mature, martech vendors are rethinking both the user experience (removing friction for non-technical teams) and the business model (linking fees to performance).
Key Takeaways
- Personalization Studio lets marketing teams launch real-time site personalization without relying on data or engineering teams
- The tool is built on Treasure AI's Agentic Experience Platform and responds in under a second using live behavioral signals
- Treasure AI's new engagement-based pricing ties email costs to clicks, not send volume — a performance-aligned billing model
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