Podcast - Martech Therapy (Page 3)

Data is boring. And by extension, CDPs are kind of boring too

A candid conversation with CDP Institute founder David Raab on AI delusions, data denial, and the awkward art of explaining Martech to your in-laws

CDP Institute’s David Raab coined the term Customer Data Platform, which makes him either the godfather of modern Martech or the guy responsible for every PowerPoint slide with a data unification triangle on it. Possibly both.

In this episode of Couch Confidentials, we talk about the slow death of CDP hype, why AI is just a mirror for your data mess, and why companies keep renaming “data plumbing” as “activation” in hopes it’ll feel more important.

We also cover how vendors are racing to bolt AI onto every surface like it’s a startup-themed version of Iron Man,

The trophy analyst, the hippo CMO, and the myth of “just one more tool”

But Steen tells it like it is... It’s not the tool. It’s us.

Some conversations catch you off guard in the best possible way. This one with Steen did exactly that.

We were meant to talk about analytics, why it still doesn’t deliver on its promise, despite all the new tools and fancy dashboards. And we did. But what surprised me was how personal it got. Not emotional, but honest in a way that made me uncomfortable in a good way. The kind of uncomfortable that makes you realize how often we’re just going through the motions, pretending things are working because admitting otherwise might mean admitting we don’t really

Agentic AI & the art of letting go

When control gets in the way of progress

Paul suggested the idea of doing something different. No intro. No big kickoff. Just two people talking.

That’s how this episode with Paul Meinshausen (CEO at Aampe) started and I’m glad it did. Because I fumbled at the beginning (you can skip ahead in the podcast...).

Feeling like a one-trick pony, I tried to steer the conversation toward my usual topics: CDPs, AI, use cases, and organizational challenges. But it quickly became clear I was trying to force an idea, a vision, onto something I hadn’t fully wrapped my head around yet. Paul helped me take a

Are MCPs the USB-C of AI? Tealium Thinks So

A conversation with Tealium’s Sav Khetan and BJ Allmon about MCPs, AI integration, and the role of CDPs in a multi-agent world.

In this episode of Diagnosis Demo, I sit down with Sav Khetan and BJ Allmon from Tealium to explore their recent implementation of MCPs (Model Context Protocols). We discuss what MCPs mean for real-time AI integration, how Tealium positions itself as an AI enabler, and why the future might just belong to multi-agent architectures. We also demo a real use case that shows how fast and powerful Tealium's setup really is.

Watch to see:

A working demo using Tealium’s Moments API and MCP integration in a simple chatbot
The difference between MCP and A2A protocols
Why data orchestration, not

Can your data tell a story? Multiplied shows how personalized media really works

A custom media deep dive with Multiplied’s co-founder, personalization that goes beyond first names.

In this special Diagnosis Demo episode, we sit down with Lloyd Hofmeyr, co-founder of Multiplied, to explore what happens when brand storytelling meets hyper-personalized media at scale. Forget the usual "Dear {first_name}" stuff, Lloyd walks us through real campaigns for BMW, financial apps, e-commerce brands, and more, showing how smart data and creative vision can turn abandoned cart emails into moments that actually convert.

We cover:

The difference between generative AI and brand-consistent personalization
Multiplied’s creative-meets-automation approach
Why year-end wrap videos shouldn’t start in December
Examples of transactional moments turned into brand storytelling gold
The case for

CDP Reboot: Where are we now?

A candid panel with Dylan Flye and Oussama Ghanmi on the evolution of CDPs, composability, and what comes next.

In this latest installment of the CDP Reboot series, I sat down with Dylan Flye (Simon Data) and Oussama Ghanmi (DinMo) for a brutally honest discussion about the current and future state of Customer Data Platforms.

What started as a debate about the fate of the CDP category quickly turned into something more revealing. We explored why the original promise of CDPs may have overreached, how warehouse-native models and modularity are rewriting the rules, and why AI might not be the silver bullet, but still changes the game.

We didn’t always agree. But we did converge on one thing:

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