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Data Quality

A collection of 3 posts
Virtual Marketo Users Group Marketo API Deep Dive From Basics to AI Ready Foundations — Key Takeaways
AI in Marketo

Virtual Marketo Users Group Marketo API Deep Dive From Basics to AI Ready Foundations — Key Takeaways

If you're building AI enrichment flows that write data back to Marketo, your storage architecture decision is permanent in ways your campaign logic isn't. Getting the custom object link field wrong means broken associations you can't easily patch after the fact.
27 Jan 2026 3 min read
Salt Lake City Marketo User Group - New Year New You-ser Group (Adding AI to Marketo) — Key Takeaways
AI in Marketo

Salt Lake City Marketo User Group - New Year New You-ser Group (Adding AI to Marketo) — Key Takeaways

If your team is still manually disqualifying low-quality inbound leads or relying solely on domain blocklists, this pattern offers a more scalable alternative. The three-tier classification approach is worth examining before you assume a binary filter will hold up across all your form types.
23 Jan 2026 4 min read
Beyond ChatGPT: Real-world, boring, & effective use cases of AI with Adobe Marketo Engage — Key Takeaways
AI in Marketo

Beyond ChatGPT: Real-world, boring, & effective use cases of AI with Adobe Marketo Engage — Key Takeaways

If your team is manually cleaning field values or translating system errors into human-readable notes, this webhook-to-LLM pattern likely applies to your instance today. The architecture is more reusable than it first appears — understanding the meta-workflow unlocks a long list of data quality appl
22 Dec 2025 6 min read
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