top of page

The Complete Feed
Explore every Signal & Noise podcast, article & video in one place from all our guests & contributors.


When the Dashboard Lies: Cimin Ahmadi Cohen on Building a Better Agency and Exposing Advertising’s Attribution Illusion
When ad metrics say everything is working but business results disagree, what should marketers trust? Idea Peddler founder and CEO Cimin Ahmadi Cohen joins Rio Longacre and Brett House to unpack the “attribution illusion,” ad fraud, opaque programmatic supply chains, agency incentives, and independent measurement. She also shares her journey from agency leader to woman founder—and why she built a different kind of company in Austin.
2 days ago


Beyond Attribution: Joanna Drews on Measurement Truth and the Future of Advertising Effectiveness
Advertising has never had more data, but less certainty. In this episode of Signal & Noise, Joanna Drews, Co-Founder & CEO of HyphaMetrics, joins Brett House and Rio Longacre to explore why traditional attribution is breaking down, what MMM still misses, and how AI, panels, and cross platform measurement are reshaping the future of advertising. Better decisions in the AI era start with better measurement.
Aug 6


Can We Still Trust Attribution? Brian Quinn on AppsFlyer, Privacy, and Measurement
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.
Jul 9


The End of Marketing’s Age of Opinion: Greg Stuart on Measurement, Attribution, and Making Marketing More Predictable
What if marketing’s real problem isn’t data—but discipline? In this Signal & Noise episode, Greg Stuart (CEO, MMA) breaks down why marketing struggles to earn trust and how to fix it. From weak measurement and flawed attribution to AI’s limits, this conversation challenges the industry to shift from opinion to evidence—and finally prove real business impact.
May 21
bottom of page
