Briefing

AI Is Finally Doing Real Work In Ad Ops (But Only When It Works With Your Existing Tech)

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by Andrew Byrd ·

Check your ad ops workflow for AI integration points.

What to do now

Check your ad ops workflow for AI integration points.

Summary

The article highlights that AI in ad operations is still limited, with many publishers manually pulling GAM reports and reverse engineering revenue drops. Jordan Cauley, who founded a publisher monetization tech consultancy, emphasizes that AI only delivers real value when it integrates seamlessly with existing tech stacks.

Cauley points out that publishers often lack the infrastructure to feed AI models with clean, structured data, which hampers automation. The piece calls for better integration between ad‑ops tools and AI to unlock efficiency gains.

Advertisers and publishers should assess their current workflows to identify integration points where AI can automate routine tasks and provide actionable insights.

Key changes

  • AI in ad ops still limited
  • Publishers manually pull GAM reports
  • Jordan Cauley’s consultancy insights
  • AI requires seamless tech integration
  • Lack of clean data hampers automation
  • Need for better integration to unlock efficiency

Affects

ads-customers enterprise

Customer impact

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