Marketing Cloud Next - Learning Paths

Each path follows a consistent arc: understand the concepts → configure the data model → activate with flows and content → measure impact. You’ll see exactly where Data Cloud, Segmentation, Automations, Content, and Attribution connect, and when to bring in AI & Agentforce to accelerate work. Think of this as a mini-Trailhead, but focused on real-life marketing builds that teams can run this quarter.

• Who it’s for: Marketers, admins, and solution designers
• How it works: Step-by-step lessons with “Next step →” links
• Prereqs: Basic Salesforce + a high-level view of Data Cloud

Why learning paths?

MC Next is powerful precisely because it sits on core Salesforce and is fueled by Data Cloud. That also means the value is cross-functional: identity resolution influences segmentation accuracy; segmentation choices drive flows; content choices affect deliverability and engagement; and it all rolls up into attribution. The paths below make those dependencies explicit so you learn in the order that prevents rework.

What you’ll achieve

By the end of a path you’ll be able to: model people correctly in Data Cloud, assemble explainable segments, trigger on real events, publish maintainable content, and prove performance with Opportunity Influence and CLTV. Each lesson ends with a practical next move and links to sibling topics so you can deepen or branch as needed.

How these paths are built

These are curated “best next step” journeys across my Deep Dives and From the Trenches notes. You’ll get screenshots, decision frameworks, and patterns tested with real teams. If you’re migrating from Pardot (Account Engagement), you’ll also find a dedicated track to translate concepts and decide “drop or both”.

Choose your path