Content to Impact: T. Rowe Price Personalizes Experiences Across Channels

In-Person On-Demand Session

Content to Impact: T. Rowe Price Personalizes Experiences Across Channels - S324

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Closed captions in English will be available soon.

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Speakers

  • Pauline Huynh

    Pauline Huynh

    Sr. Product Marketing Manager, Adobe

  • Elena Reinert

    Elena Reinert

    VP Global Digital Product & Enablement, T. Rowe Price

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Session Resources

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About the Session

Agentic AI is raising the bar for customer expectations, putting more pressure than ever on brands to deliver highly personalized experiences that build connection - but getting there doesn't happen overnight.

Hear how T. Rowe Price is laying the groundwork to evolve from a campaign-centric approach to one that puts the customer at the center. By bringing together content, data, and journeys, they're building a scalable foundation that will enable teams to move faster and deliver dynamic, personalized experiences across channels - turning customer interactions into lasting engagement and loyalty.

In this session, discover:

  • How unifying Adobe Experience Manager and Adobe Journey Optimizer helps streamline the creation and delivery of personalized experiences
  • What it takes to build a foundation for scalable personalization – from structuring modular content for reuse to decisioning, using their web portal as an example
  • Sneak peek into upcoming Adobe Experience Manager and Adobe Journey Optimizer innovations

Technical Level: General Audience

Track: Brand Visibility and Content Management in the Agentic Web

Content Category: Case/Use Study

Audience : Campaign Marketer, Channel Marketer, Marketer, Content Manager, Martech Professional, AI Strategy/Technology , Demand Generation Marketer

This content is copyrighted by Adobe Inc. Any recording and posting of this content is strictly prohibited.


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Adobe CX Enterprise

Unify content, data, and journeys into one AI‑powered system that anticipates intent and delivers personalized, on‑brand experiences at scale — for humans and AI agents.