Skill Exchange Spotlight: Turning Data into Impactful Journeys

In-Person On-Demand Session

Skill Exchange Spotlight: Turning Data into Impactful Journeys - S902

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Closed captions in English will be available soon.

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Speakers

  • Nimasha Jain

    Nimasha Jain

    Adoption Marketing Manager, Adobe

  • Saurabh Channe

    Saurabh Channe

    IT Architect, Ulta Beauty

  • Tyler Krause

    Tyler Krause

    Digital Marketing Developer, Wegmans

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Session Resources

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About the Session

This session features two spotlights designed to help teams unlock personalization at scale with Adobe Experience Platform. The first spotlight deep-dives into how Federated Audience Composition enables activating enriched attributes without loading data into the CDP profile store, reducing operational effort and accelerating enterprise-wide personalization. The second spotlight focuses on journey execution in Adobe Journey Optimizer, showing how to translate real-time and batch data into dynamic customer journeys, trigger events, apply conditions, and personalize content leveraging data from the CDP. Together, both spotlights provide a practical view of how federated data and journey orchestration work hand-in-hand to deliver scalable, measurable customer impact.

Key Takeaways:

  • Learn how to design and launch data-driven journeys in Journey Optimizer using real-time signals and batch data.
  • Understand best practices for applying personalization logic, conditions, and dynamic attributes in journeys.
  • Discover how Federated Audience Composition activates enriched data without ingestion to accelerate personalization at scale.

Technical Level: Intermediate to Advanced

Track: Customer Engagement

Content Category: Tips and Tricks

Audience : Product Manager

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.