The agentic marketing stack starts with the data layer

Summary

The piece argues that agentic marketing depends on modernizing the data and infrastructure foundation first, rather than starting with isolated AI use cases. At Acxiom, moving core products and client solutions from on-premises Hadoop to Databricks reportedly improved workload runtimes by 80 to 90 percent, reducing jobs that took 50+ hours or as long as 90+ hours to 2–3 hours. The migration also reduced manual pipeline and infrastructure work, freeing engineering capacity for products and client outcomes. Those capabilities now support agentic audience planning, media buying, campaign activation, performance analytics, code generation, testing, and ad variation, with a goal of connecting the full marketing value chain. Because workflows handle PII, generated content passes through legal approval, defined controls, and human oversight; Acxiom is also embedding its data in client platforms and privacy-safe clean rooms to make decisions more transparent and native to customer environments.

Context

Acxiom found that on-premises hosting, legacy technology, manual pipelines, and redundant data limited scalability and real-time performance while consuming engineering capacity. The company also needed to handle PII and regulatory or brand risk as it developed agentic marketing workflows and responded to clients seeking faster, more cost-effective, and more transparent capabilities.

Approach / What changed

Acxiom modernized its core infrastructure, data pipelines, legacy architecture, and technology stack by moving from on-premises Hadoop to Databricks. It is building agentic workflows across audience design, media buying, activation, analytics, data enrichment, and creative production, while applying privacy controls, approval workflows, human oversight, and integrations that embed its data directly into client environments and clean rooms.

Takeaways

• Moving workloads from on-premises Hadoop to Databricks reduced reported runtimes by 80 to 90 percent; jobs that previously took 50+ or 90+ hours now take 2–3 hours.
• An agent can turn a marketer’s campaign prompt into audience segments and sample personas, surface demographic and behavioral dimensions, and support refinement; a demonstrated media-buying workflow also evaluates inventory and activates audiences.
• PII-related workflows keep humans in the loop: AI-generated content requires legal review before a live campaign, while agents operate within defined security and privacy boundaries.

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