Why Your AI Media Stack Is Leaking Revenue — And What Fixes It
Stop spending more on AI tools that don't talk to each other and start seeing movement in your pipeline
Chief Analytics OfficerOneMagnify
- Moderator - CMSWire
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 — why adding more tools to a disconnected stack makes the problem worse, not better
- How to spot fragmentation before it compounds — the patterns that are quietly bleeding your budget before you ever see it in a report
- 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.
