Key Takeaways
- Treasure AI’s Personalization Studio lets marketers build and launch real-time website personalization directly on their existing customer data, with no separate profile store, data pipeline or developer dependency.
- Treasure AI also introduced Engagement-Based Pricing, which ties email costs to customer actions such as clicks rather than send volume.
Treasure AI recently announced Personalization Studio, the new marketer-facing user interface lets teams build, launch, and manage real-time website personalization.
Brands’ customer data often already knows what a website visitor wants, but the website doesn’t. Standalone personalization tools require separate integrations, data pipelines, and profile stores of their own, leaving marketers dependent on data and web teams every time they want to launch or change a campaign. This process leaves website experiences reliant on shallow, delayed, or session-only data.
Personalization Studio is built directly on top of Treasure AI’s customer data foundation, combining batch profile data — audiences, loyalty status, purchase history — with real-time behavioral signals to deliver sub-second personalized experiences on the website, without a separate profile store, export-and-sync process, or data pipeline to maintain.
What Else Did Treasure AI Announce?
Additionally, the company unveiled Engagement-Based Pricing, a new pricing approach tied directly to campaign performance. Personalization Studio is part of Treasure AI’s Personalization AI Suite, within the company’s Agentic Experience Platform (AEP).
“Personalization works when a brand can respond to what it knows about a customer in the moment,” said Rafa Flores, Chief Product and Growth Officer, Treasure AI, at Agentic World 2026. “Personalization Studio helps marketers move from customer insight to a relevant website experience using the context Treasure AI already has, while keeping the team in control of what goes live.”
What Can Marketers Do With Personalization Studio?
Because Personalization Studio runs on the same platform as the customer data that powers it, teams no longer need a standalone testing tool, a separate profile store, a data pipeline to keep them in sync, and a developer to hold it all together. With Personalization Studio, marketers can:
- Use existing audiences. Import segments already built in Treasure AI, along with profiles, loyalty data, and behavioral context, with no export, no sync, and no second profile store
- Build campaigns visually. Select content spots, configure creative, preview, schedule, and launch with far less ongoing dependence on technical teams once initial setup is complete
- Personalize in real time. Deliver experiences based on live behavior, not a session-only snapshot, using full customer context through Treasure AI’s Real-Time 2.0 decision engine
Marketers move from audience insight to a live web experience without leaving the platform, or the team, that already knows the customer. “Most platforms were built to store data,” Flores said. “We were built to activate it on behalf of a human being, in the right moment, in a way that feels like the brand actually knows you
How Does Treasure AI’s Engagement-Based Pricing Work?
Treasure AI’s new engagement-based pricing model that ties email costs to customer actions, such as clicks, rather than the number of messages sent. It reflects a bold bet: if our intelligence doesn’t help you drive engagement and conversions, why should you pay for send volume alone?
“As the industry talks about outcome-based pricing, the real test is whether a platform’s economics align with the value it helps create,” said Flores. “Treasure AI ties email pricing to customer engagement, such as clicks, rather than send volume. It’s a more accountable model, and we hope it encourages the industry to rethink what it charges for.”
Personalization Studio is available now to all Treasure AI customers.
