Treasure AI has launched Personalization Studio to help brands deliver real-time website personalization. The new workspace connects customer profiles, audiences, and live behavioral signals.
The company unveiled the solution at Agentic World 2026. Personalization Studio is now accessible to all customers of Treasure AI. With the marketer-centric interface, teams can create, deploy, and manage their own personalization on websites. Personalization Studio is powered by the company’s single view of customer data and decisioning capabilities.
Alongside the launch of the new offering, Engagement-Based Pricing was launched by Treasure AI as well. The pricing strategy is linked to campaign costs and customer engagement. Personalization Studio is a component of Treasure AI’s Personalization AI Suite. The suite works within the Agentic Experience Platform (AEP).
“Personalization works when a brand can respond to what it knows about a customer in the moment. 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,” said Rafa Flores, Chief Product and Growth Officer, Treasure AI.
Turning Customer Data Into Real-Time Experiences
Many brands already hold data that can indicate customer interests. However, websites often fail to use that information quickly. Standalone personalization platforms can require separate integrations and data pipelines. They may also need independent customer profile stores.
As a result, marketers often depend on data and web teams to launch campaigns. These processes can also produce delayed or limited website personalization. Personalization Studio uses Treasure AI’s existing customer data foundation. It combines audience data, loyalty status, and purchase history with live behavioral signals.
The platform can then support personalized website experiences in less than a second. It does so without requiring a separate profile store or export process. Marketers can manage campaigns through one visual workspace. They can select a page, choose a content area, and select an audience.
AI can then suggest creative options for the campaign. Marketers can review, adjust, schedule, and launch the experience. Users can also apply existing Treasure AI audiences without additional data transfers. They can use profiles, loyalty information, and behavioral context directly. Furthermore, marketers can personalize experiences using live customer behavior. Treasure AI’s Real-Time 2.0 decision engine supports these experiences.
“Most platforms were built to store data. 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,” Flores said.
Engagement-Based Pricing
Treasure AI also launched a new engagement-based pricing model. The approach links email costs to customer actions, including clicks.
“As the industry talks about outcome-based pricing, the real test is whether a platform’s economics align with the value it helps create. 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,” Flores said.
Personalization Studio also supports enterprise brands and their partners. Agencies, consultancies, and systems integrators can use customer context for personalization programs. As a result, teams can move from personalization strategy to execution with fewer technical handoffs.
Want more marketing excellence stories? Visit MarTech News for insights, trends, and expert updates.
News Source: Businesswire.com
