Why Your AI Media Stack Is Leaking Revenue — And What Fixes It

You've invested in AI. The revenue gap is still there.

Smarter bidding. Better dashboards. Attribution tools that looked promising in the demo. And yet accounts contract, campaigns underdeliver and spend keeps optimizing toward metrics that have nothing to do with pipeline or lifetime value.

The tools aren't the problem. Your data foundation is.

In this session, Jonathan Prantner — Chief Analytics Officer at OneMagnify, a data and analytics agency with deep B2B delivery experience — walks marketing leaders through a practical maturity framework for AI-native media intelligence.

What You'll Learn

• Why AI tools aren't closing the gap — and the structural difference between AI-augmented (where most B2B teams are stuck) and AI-native (where high performers are pulling ahead)
• How to spot fragmentation before it compounds — disconnected identity, siloed attribution, media execution divorced from CRM signals
• Where you actually sit on the maturity curve — a practical diagnostic, not an aspirational benchmark
• What the high-performing outliers are doing differently — the architectural conditions enabling AI-native media intelligence

B2B organizations that have fixed the foundation are seeing results like $6.5M in quarterly value unlocked and 77% faster campaign launches.

Major holding companies are consolidating data, identity and activation capabilities right now — making unified intelligence a baseline expectation, not a differentiator. This session shows you exactly where you are and what's blocking you.