March 3, 2026 — San Francisco LiveRamp, Inc. (NYSE: RAMP), headquartered in San Francisco, California, launched agentic AI upgrades to its platform, enabling specialized AI agents to autonomously collaborate on end-to-end marketing workflows including audience building, campaign optimization, measurement, and cross-media insights. The upgrades shift marketers from manual processes to intelligent, governed execution aligned with organizational AI policies.
The platform now provides agent-powered access to premium data, allowing third-party AI agents to integrate seamlessly. Initial partners include SemantIQ for building privacy-safe healthcare provider audiences and Newton Research for instant measurement insights via natural language queries. These agents are live today, as announced in LiveRamp’s press release.
Key Features and Capabilities
LiveRamp’s agentic AI supports enhanced lookalike modeling across first-, second-, and third-party data, single identity-powered control groups for consistent measurement, and continuous audience optimization across channels. Customers can execute tasks faster within a trusted environment, powering smarter growth, planning, and spend optimization.
Matt Karasick, LiveRamp’s Chief Product Officer, stated:
We’re making it possible for AI agents to do what marketers have been doing manually — build audiences, measure cross-media performance, and optimize spend — but faster and within the governed environment our customers already trust. The agents from Newton Research and SemantIQ are live today, and they’re the first of many partners we’re bringing onto the platform.
Partnerships and Industry Impact
Beyond initial partners, LiveRamp highlighted collaborations like Scowtt for predictive AI signals delivered to platforms such as Meta and Google, reportedly boosting client return on ad spend (ROAS) above 40%, according to a Seeking Alpha analysis titled LiveRamp: How Its Agentic AI Could Be Essential For Digital Marketing[1][2].
John Hoctor, CEO and Co-founder of Newton Research, added:
LiveRamp and Newton Research have leaned in together to help marketers use AI to drive quantifiable performance increases, today.
Industry voices like Ananda Chakravarty from IDC noted that LiveRamp addresses key frictions in lookalike audiences: data, workflow, and connectivity.
Financial Context and Outlook
In its Q3 results, LiveRamp reported $212 million in revenue, up 9% year-over-year, with non-GAAP EPS of $0.76, 29% operating margin, and $527 million in annual recurring revenue (ARR). The company eyes 9% growth and a Rule of 40 score by 2028. The Seeking Alpha piece LiveRamp: How Its Agentic AI Could Be Essential For Digital Marketing[1][2] suggests potential valuation re-rating from 8x forward EV/EBITDA to 13x, implying 50% upside, while noting risks from usage-based pricing and regulations.
LiveRamp plans to expand agentic partnerships across categories, building on January’s licensing announcements. Coverage echoed in Adweek and LiveRamp’s blog underscores the platform’s role in interoperable, high-fidelity agentic marketing.
As explored in LiveRamp: How Its Agentic AI Could Be Essential For Digital Marketing[1][2], these developments reinforce LiveRamp’s competitive moat in privacy-centric digital marketing. Additional details appear in Yahoo Finance and Destination CRM.
The launches position LiveRamp at the forefront of agentic workflows, with further integrations anticipated.[1]