12:00 PM EDT - Thursday, Aug 6
Opening Keynote [AEP900]
Opening Keynote
One Platform, One Customer [AEPCJ1]
Data engineers own Adobe Experience Platform. Marketing Operations owns Real-Time CDP. Journey teams own Journey Optimizer. Analytics owns Customer Journey Analytics. The result is the same customer, seen four different ways, never fully understood by any of them. This session tells a different story.
Join us behind-the-scenes with Adobe Experience Platform Champions Gowtami Mohanty, and Ashwin Chadaga from Vanguard who will explore what it actually looks like when these products function as a single, coordinated system rather than a collection of point solutions. We will follow one customer signal from the moment it enters the platform, through identity resolution and profile unification in Adobe Experience Platform, into audience qualification and activation in Real-Time CDP, across a personalized journey triggered in Journey Optimizer, and back into Customer Journey Analytics for measurement and optimization.
A real implementation, a real use case, and the honest lessons that came from building it.
You will walk away knowing how to:
One Platform, One Customer [AEPCJ2]
Data engineers own Adobe Experience Platform. Marketing Operations owns Real-Time CDP. Journey teams own Journey Optimizer. Analytics owns Customer Journey Analytics. The result is the same customer, seen four different ways, never fully understood by any of them. This session tells a different story.
Join us behind-the-scenes with Adobe Experience Platform Champions Gowtami Mohanty, and Ashwin Chadaga from Vanguard who will explore what it actually looks like when these products function as a single, coordinated system rather than a collection of point solutions. We will follow one customer signal from the moment it enters the platform, through identity resolution and profile unification in Adobe Experience Platform, into audience qualification and activation in Real-Time CDP, across a personalized journey triggered in Journey Optimizer, and back into Customer Journey Analytics for measurement and optimization.
A real implementation, a real use case, and the honest lessons that came from building it.
You will walk away knowing how to:
Governing at Scale: Building a Trustworthy Data Foundation [AEP101]
Data governance isn't a checkbox — it's the infrastructure that makes every downstream experience possible. Without clear policies, enforced labels, and auditable controls, even the most sophisticated Adobe Experience Platform implementation becomes a liability.
Join this session to learn how to architect a governance framework inside Adobe Experience Platform that protects sensitive data, ensures regulatory compliance, and builds the organizational trust needed to activate data confidently across Adobe Real-Time CDP and Adobe Journey Optimizer.
You'll walk away knowing how to operationalize governance — not just configure it.
During this session you will learn how to:
1:00 PM EDT - Thursday, Aug 6
From Insight to Impact: Building a Next-Generation Experimentation Program [CJA202]
Most organizations treat personalization as a campaign tactic. The ones seeing real results treat it as a system — where data, audiences, and measurement are designed to work together from the start.
Drawing on a background in statistics and experimentation, Abdul Jomaa shows how Adobe Real-Time CDP, Customer Journey Analytics, and Adobe Target function as an integrated loop: define the right audiences, deliver the right experience, measure the right outcomes, and refine. You'll leave with a practical blueprint for making testing more intelligent and results more defensible.
In this session, you will:
Whether you're just connecting your analytics and activation layers or maturing an existing program, this session gives you a clear path forward.
Calling the Right Plays with Intelligent Journeys [AEP102]
The marketing industry is shifting from isolated campaigns to intelligent, signal-driven systems — and the teams winning are the ones designing for it. This session draws on a football metaphor to frame how Adobe Journey Optimizer and artificial intelligence work together as a real-time decisioning and orchestration engine.
Two key use cases bring the playbook to life. AI runs through both examples as a force multiplier — analyzing signals, predicting churn, generating variants, and creating feedback loops that make the system smarter over time.
Key Takeaways:
Understanding Your Data Journey: From AEP to CJA [CJA201]
Ever pulled a report in Customer Journey Analytics and thought, “Why don’t these numbers match my source data?” You’re not alone, and the answer usually isn’t obvious.
In this session, we’ll follow the full data journey from Adobe Experience Platform ingestion into Customer Journey Analytics Connections, and finally into Data Views. Along the way, we’ll highlight the most common points where data gets filtered, reshaped, or lost -- and how to systematically troubleshoot each stage.
You’ll leave with a practical framework for validating your data pipeline, identifying discrepancies, and restoring trust in your reporting.
2:00 PM EDT - Thursday, Aug 6
Experience Makers Spotlight [CJA203]
Building Trusted Foundations for Customer Journey Analytics
Join Disha Gupta and Josh Stephens for a practical deep dive into building scalable, trusted reporting in Adobe Customer Journey Analytics. Many organizations struggle with inconsistent metrics, identity stitching challenges, and complex data views that reduce confidence in reporting and slow decision-making.
In this session, attendees will learn how foundational Adobe Experience Platform decisions — including schemas, datasets, identities, and connections — directly impact reporting quality and governance within Customer Journey Analytics. The session will also explore how effective data view management and derived fields can simplify analysis, improve usability, and unlock new business insights.
Through real-world implementation lessons and best practices, Disha and Josh will share practical approaches for troubleshooting reporting discrepancies, validating data before it reaches stakeholders, and building scalable frameworks that support long-term business trust in analytics.
Attendees will leave with actionable strategies to improve reporting consistency, governance, and insight generation across their Customer Journey Analytics ecosystem.
Experience Makers Spotlight [AEP103]
Building an Intelligent Activation Layer and Orchestration Drives Results [AEP103]
Join this session and address two challenges: architecting an intelligent activation layer, then acting on it in real time.
The first spotlight explores practical implementation patterns for building a more scalable and intelligent activation architecture using Adobe Experience Platform alongside the enterprise data warehouse. Learn how composable and federated approaches can help organizations separate analytical processing from activation-ready data while still enabling real-time personalization across channels.
In the second spotlight, you will learn how to automate a personalized re-engagement journey using Journey Optimizer. It will also cover how to utilize external availability APIs and configure unitary event triggers to detect friction as it happens.
Key Takeaways:
Closing Keynote [AEPEXL]
Closing Keynote
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