Why Attend

Learn how to turn Marketo Engage’s native AI capabilities into production-ready marketing solutions. This deepdive session will cover setup, best practices, and real-world recommendations for leveraging GenAI and Predictive Content to create personalized experiences faster, improve campaign performance, and reduce costs by maximizing the tools already included in your Marketo investment. 

Description 

Unlock Your Boldest Creativity with Marketo Built-In GenAI and Predictive Content

Marketing teams are being asked to do more than ever, faster than ever, with higher expectations for personalization, creativity, and performance. Yet most AI solutions today add another layer of tools, complexity, and disconnected workflows. This session shows a different path: how to unlock practical, out-of-the-box AI capabilities already built into Adobe Marketo Engage to help you create, execute, and scale marketing with more speed, less friction, and far more creativity. You will discover how GenAI and AI Predictive Content can become a natural extension of your day-to-day work, helping you move from manual execution to strategic impact without needing additional platforms, technical expertise, or fragmented systems.

Join this Adobe Marketo Engage AI Deep Dive to see how our Champions are already transforming their workflows using built-in AI to reduce effort and amplify creativity. Whether you are just starting your AI journey or looking to scale advanced automation, you will leave with practical use cases, setup guidance, and real examples you can apply immediately inside your own environment.

In this session, you will learn how to:

• Deliver higher engagement and conversions with AI Predictive Content that automatically delivers the most relevant content to each audience member

• Accelerate email production using GenAI capabilities in Email Designer and AI-powered copy generation for on-brand, optimized messaging

• Automatically generate structured chapters from Interactive Webinar content to improve engagement, navigation, and content reuse

• Approach setup and adoption so AI features are embedded into day-to-day workflows rather than isolated experiments

• Begin designing scalable, campaign workflows that extend automation across marketing operations

Walk away with a clear blueprint for how to turn GenAI from a concept into a working part of your marketing engine, helping your team focus less on execution bottlenecks and more on bold ideas, better experiences, and strategic growth.

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Agenda

1. AI Architecture and Where It Lives in Marketo Engage

• Understand how AI capabilities are embedded within Adobe Marketo Engage

• Learn where GenAI is applied across workflows, assets, and automation layers

• Clarify what is native vs. what requires configuration or activation

• Overview of how GenAI interacts with existing Marketo Engage data and programs

2. AI Predictive Content - Setup and Usage

• Key setup requirements and configuration considerations for effective recommendations.

• Steps to deploy Predictive Content across email and web experiences.

• Techniques for testing, optimizing, and improving recommendation relevance over time.

• Best practices and common use cases for scaling AI-driven personalization.

3.1 GenAI Email Designer and Copy Creation - Setup and Usage

• How AI generates email layouts and copy within Marketo Engage

• Configuration considerations for brand tone and messaging control

• How to refine and iterate AI-generated email outputs

• Integration into existing email program workflows

3.2 GenAI Image Creation - Asset Generation Workflow

• How AI-generated images are created and applied in emails

• Input structure for controlling style, tone, and use case

• Asset governance and brand alignment considerations

• How to insert generated visuals into Marketo programs

4. GenAI for Interactive Webinars - Chapter Generation and Structuring

• How AI identifies and structures webinar content into chapters

• Configuration for interactive webinar ingestion and output generation

• How to edit, refine, and reuse generated chapter structures

• Applying outputs across nurture and content programs

5. Implementation Framework and Technical Adoption Model

• How to activate AI features in a real Marketo Engage environment

• Recommended setup sequence for first-time implementation

• Data, permissions, and governance considerations

• How to move from configuration to production usage safely

6. Scaling and Operationalizing AI Workflows

• How to standardize AI usage across teams and programs

• Patterns for reusable prompts

• Monitoring output quality and maintaining consistency over time

7. Wrap-Up: From Configuration to Execution

• Summary of how all AI components connect within Marketo Engage

• Key setup decisions that impact long-term success

• How to revisit and expand configurations after initial deployment

• Next steps for building advanced AI-driven marketing operations

• Clear takeaway: simplify, accelerate, and elevate marketing impact

8. Q&A and Key Takeaways

Target Audience

• Marketo Users: Professionals already using or considering Marketo who want to expand their marketing capabilities.

• Marketing Operations Professionals: MOPs teams responsible for Marketo administration and data quality

• Marketo Administrators: Those managing database architecture, integrations, and technical infrastructure

• AI/Automation Adopters: Organizations preparing their Marketo instance for AI-powered capabilities

• Data-Conscious Marketers: Teams looking to improve data quality, reporting accuracy, and campaign effectiveness