The Future of MadTech: Go Beyond Clean Rooms and Unlock Revenue Growth with Decision Intelligence
By SCUBA Insights
SCUBA will be sponsoring the Programmatic IO NYC Sept 24th-25th and hosting a panel discussion on how to unlock revenue growth with decision intelligence.
Discover how to go beyond clean room limitations to unlock growth and drive business outcomes. The evolving landscape of consumer privacy has sent shockwaves through the MadTech industry, forcing a re-evaluation of data-to-decision strategies. The rise of clean rooms was a response to these changes, but even these solutions are being disrupted by the latest developments in browser and device-level data restrictions.
Meanwhile, tools like Google Analytics 4 (GA4) and Google Ad Manager (GAM) struggle to adapt, leaving marketers and publishers with incomplete and inaccurate data that doesn’t give them the real-time insights they need. The result? Suboptimal decision-making, reduced revenue, and a growing sense of uncertainty.
Join Host Tony Ayaz, SCUBA CEO, Ross Schwaber, SVP of Product and Solutions at SCUBA and former head of product for Bleacher Report, along with Dave Marks, CTO, and Breton Fischetti, SVP of Performance Revenue at Recurrent Ventures, as they explore the impact of these changes on the industry and discuss how decision intelligence can help marketers and publishers navigate this new reality.
https://info.scuba.io/programmatic-io-pubs24
Blog Categories
Recent Blog Posts
- Crack the Code: How To Maximize Ad Revenue in a Privacy-First World
- MTCDPA: Will Montana’s New Privacy Measure Disrupt the Future of Advertising, and Business?
- Capture Signal Loss with Decision Intelligence
- AWNY24 Session Recap: Privacy Hijacks Signals: Future-Proof 1P Data with Real-Time Data Collaboration
- #PROGIONY: Game-Changers, Fading Fads, and the Future of Advertising
- Publishers’ Responsibilities in the Age of Signal Loss
Popular Blog Posts
- Diving Deeper into Analytics: How SCUBA Fills the Gaps Left by GA4
- 48 Analytics Quotes from the Experts
- Data Bias: Why It Matters, and How to Avoid It
- 10 Great Examples of Hyper-Personalization in Entertainment & Media
- It's Time to Stop Being “Data-Driven” (And Start Being Data-Informed)
- How to Conduct a Behavioral Analysis (in 7 Steps)