Original source: Adobe Marketo Engage User Groups
This article is an editorial summary and interpretation of that content. The ideas belong to the original authors; the selection and writing are by Marketo Ops Radar.
This video from Adobe Marketo Engage User Groups covered a lot of ground. Marketo Ops Radar selected 6 key moments and summarises them here. Everything below links directly to the timestamp in the original video.
Merging Marketo partitions is a high-stakes architectural change with no native "undo" button. This session detailed a practical, controlled method for executing the migration in waves to minimize risk.
De-Risk Partition Merges With a Wave-Based Testing Strategy
A practitioner shared a method for merging regional partitions into a single global one without a high-risk "big bang" migration. The approach involves using a temporary, empty test partition populated with a small, controlled set of test leads. Each regional workspace is sequentially given access to this test partition to validate campaign behavior before its main lead database is moved.
This wave-based process isolates the migration for one region at a time, allowing for thorough testing and ensuring that unexpected cross-campaign triggers are caught and fixed in a controlled environment. This dramatically reduces the risk of unintended consequences when the full lead set is finally migrated.
"When we made sure that nothing out of the ordinary was happening and everything was under control, then we executed the campaign that was moving the partition to the global one."
Extend Smart Campaign Functionality With Custom Callable AI Agents
A significant new feature discussed is the ability to create and use "callable agents" directly within smart campaigns. Practitioners will be able to build custom AI agents, potentially from templates, and execute them as a flow step to perform tasks. This functionality is integrated via webhooks but appears to expose capabilities beyond the standard API, such as modifying other flow steps.
The key implication is that this allows for a new level of dynamic, intelligent automation within existing workflows, but its success will depend heavily on providing clear context and well-documented processes for the AI to follow.
"With the API you could never change individual flow steps within a smart campaign but the MCP can do that."
Replace Batch API Polling With Real-Time Event Data Streams
Presenters highlighted the introduction of "data streams," a new feature for pushing Marketo events to external systems in real-time. This functionality is designed to replace the common practice of repeatedly polling the API in batches to extract activity data like opens and clicks. It directly addresses a major pain point for teams with sophisticated integration needs.
This shift to real-time streaming is particularly valuable for organizations building custom CDPs or analytics platforms. It eliminates API call overhead and data latency, enabling more accurate and timely reporting and attribution.
"Using the API, it always worked, but you had to rely on a polling system where you're continuously trying to reach out to Marketo... whereas the streaming just eliminates so much of those steps."
Implement Governance Guardrails for a Smoother Partition Merge
A presenter emphasized that successful partition merges depend heavily on strong governance and team enablement, not just technical execution. To prevent errors, one team implemented several controls, including a mandatory quality assessment process where a second user had to verify settings before activation. They also updated program templates with regional smart list filters as a "security blanket."
This approach mitigates the primary risk of a unified database: a user from one region accidentally targeting a global audience. It ensures campaigns remain contained to their intended scope through proactive, process-based guardrails.
"The most important thing to prevent mistakes, overlaps, or conflicts was the discipline and that they needed to comply with the governance that we were asking for."
Plan Your Architecture for the Future: Strategic Lessons from a Partition Merge
A speaker shared high-level lessons from a complex partition merge project, framing partitions as a long-term architectural commitment. The key insight is to reserve partitions for strict legal or business separation needs, not simple regional organization, because global use cases will inevitably emerge and challenge a siloed structure. Simpler folder structures and governance can often provide better future flexibility.
This experience underscores a critical principle: change management and user enablement are as vital as the technical data migration. Architecture should be designed for future organizational needs, not just today's requirements.
"Design your Marketo architecture not just for what you need today, but for the flexibility that your organization will need in the future."
Use New AI Agents for Program QA and Operational Assistance
A new "Build with AI" feature was previewed, designed to provide operational assistance through a library of specialized AI agents. The first two agents will focus on list imports and program quality assurance (QA). The program QA agent is particularly notable, as it can automatically check a campaign against a predefined set of rules, a test plan, or a campaign brief to identify potential errors.
This functionality acts as an automated second set of eyes, helping teams launch campaigns faster and with less risk. It is especially valuable for reducing the stress associated with activating complex programs.
"No matter how much time you spend in Marketo, how much expertise you build, pressing that go button is always kind of stressful. So, having an extra set of eyes is great."
Also mentioned in this video
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Summarised from Adobe Marketo Engage User Groups · 59:02. All credit belongs to the original creators. Marketo Ops Radar summarises publicly available video content.
