Rokt and mParticle Debut AI-Powered Performance Engine to Automate First-Party Audience Orchestration at the Transactional Peak

Rokt, the leading e-commerce technology platform specializing in transaction-moment monetization, and mParticle, a prominent customer data platform (CDP) for multi-channel enterprise infrastructure, have announced a strategic technology partnership. The collaboration introduces a native AI-driven Performance Engine, powered by an autonomous Audience Agent, designed to safely bridge real-time customer data profiles with dynamic post-transaction offer relevancy.

The product rollout targets a highly valuable yet operationally difficult stage of the consumer journey: the transaction moment. While brands capture deep intent data when a customer completes a purchase, the legacy tools used to translate those signals into personalized subsequent offers are frequently slow and fragmented. By combining mParticle’s privacy-compliant real-time data layer with Rokt’s machine learning recommendation framework, the new performance architecture programmatically evaluates customer context to serve relevant offers instantly, maximizing average order value (AOV) and customer lifetime value (LTV).

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Transforming Data Integrity into Live Transactional Relevancy

The automated system utilizes a dedicated Audience Agent that operates natively between the two platforms to manage data coordination across the entire post-purchase lifecycle:

• Real-Time Data Ingestion: Safely routes first-party behavior signals, loyalty states, and purchase history data from mParticle’s identity graph directly into Rokt’s transaction engine.
• Autonomous Intent Sorting: Evaluates real-time customer context to suppress redundant or irrelevant cross-sells, ensuring consumers only interact with highly customized brand messages.
• Privacy-First Guardrails: Enforces strict consumer consent states and governance boundaries, automatically stripping out personally identifiable information (PII) before run-time calculations occur.
• Continuous Testing Loops: Runs multi-variable optimization models across millions of transactional parameters, continuously adjusting target offers to elevate conversion yields and lower cart abandonment.
• Maximizing Yield via Autonomous Coordination: By connecting conversational data engines and deterministic consumer records, the Performance Engine allows enterprise retailers to completely bypass the manual segment-export steps that traditionally bog down growth marketing teams, shifting audience optimization from delayed intervals to instant, sub-second transaction sessions.

Driving E-Commerce Growth via Connected Infrastructure

This technical consolidation marks the beginning of a paradigm shift towards open and connected software networks that will enable the realization of latent values in corporate data without posing any threat to the security of the data. Through the automation of repetitive administration processes such as audience syncing and offer mapping, the consolidated engine ensures that the margins in e-commerce businesses remain intact while allowing teams to focus on innovation and customer growth strategies.

AI-Driven Performance Engine and Audience Agent Integration is now available for shared enterprises right away.