The Complete Feed

AI agents can access more data than ever—but who decides what they are allowed to do with it? Brett and Rio sit down with SafeGuard Privacy CEO Richy Glassberg to explore why privacy is becoming a permission layer for the AI era. They discuss consent, vendor diligence, machine-readable authority, and how auditable privacy infrastructure can help companies innovate responsibly while building customer trust.

Marketers have spent billions building CDPs, clean rooms, identity graphs, and cloud data environments. Yet remarkably little paid media is informed by the customer intelligence brands already possess. The next competitive advantage won’t come from collecting even more data. It will come from closing the last mile—and turning current, consented first-party signals into smarter media decisions while they can still make a difference.

Mick Rigby founded Yodel Mobile before Apple launched the App Store. Nearly two decades later, he joins Signal & Noise to explain why installs are not growth—and why the real battle begins after download. We discuss retention, lifetime value, AI-driven discovery, privacy, the evolution of app marketing, and what nineteen years in mobile have taught him about building apps people choose, keep, and use.

As AI reshapes personalization and customer engagement, consent can no longer live in a static compliance system. This article explores why permission is becoming the critical layer that determines whether customer data can be used responsibly—and how brands can build trusted, AI-ready customer intelligence.

Every AI breakthrough starts with something less glamorous than the latest model: clean, trustworthy data. In this episode of Signal & Noise, Hyatt's Jer Tippets joins Brett House and Rio Longacre to explain why data quality, governance, identity, and privacy are the real foundation of AI. From customer identity and CDPs to personalization and digital measurement, this conversation explores what brands need to get right before AI can truly deliver.

Attribution was supposed to make marketing measurable. Instead, privacy changes, signal loss, and walled gardens have made it harder than ever to know what's actually driving results. In this episode of Signal & Noise, Brett House and Rio Longacre sit down with Brian Quinn, President & GM of AppsFlyer, to explore the future of attribution, fraud, clean rooms, AI, and why the industry's most trusted metrics may deserve a second look.

As AI-driven advertising shifts from cookies and IDs to embeddings and vectors, many in AdTech are treating abstraction as a privacy loophole. In this Signal & Noise Executive Voices piece, Evgeny Popov argues that embeddings do not eliminate GDPR risk — they simply move it into a more opaque layer of the system. The architecture changed. The regulatory reality did not.