marketing technology - Martech Therapy (Page 10)

Are we overestimating AI? Or underestimating what's coming?

A Couch Confidentials conversation with Michael Katz about the illusions (and realities) of AI, CDPs, and how to survive the next data wave.

What happens when the tools we think are helping us today aren't ready for the future we’re speeding into?

In this episode of Couch Confidentials, Michael Katz (CEO of mParticle) joins me to talk about where AI is really at, why most CDPs are stuck in the past, and why success in Martech now depends less on the tech itself and more on how you think about it.

We dive into:

Why "People overestimate where we are today and underestimate how fast this stuff progresses."
The two very different paths CDPs are taking (and why one is a race

Contextual CDP, let me explain why...

A personal message on my motivations for writing the series.

I’ve just kicked off a new blog series on something I’ve been thinking about a lot lately: how customer data platforms could work if they were built around context, not just profiles.

This short video (<4 minutes) is a personal reflection on what led me to write the series, what I’m exploring, and how memory, inference, and nuance might change the way we think about CDPs.

Curious what you think. Watch the video, then let me know what questions it raises for you.

The CDP Reboot: The Turning Point

Part 4 of 4: Will CDPs evolve, dissolve, or disappear?

So, here we are. Part 4. If you've made it this far through the CDP Reboot series, you’ve seen the full arc, from promise to stall to disillusionment. And now? Now we look at the turning point.

This isn’t the part where I tell you which platform to buy, or what checkbox to look for on a vendor RFP. If anything, the last three parts should’ve made it clear that’s exactly the wrong mindset.

This is about the future of the category itself. What happens next, and what should happen if we’re honest about the

How to avoid data chaos, one sunny walk at a time

Stefania Olofsdottir, CEO of Avo, shares her mission to stop bad data at the source in a walk and talk that proves you don’t need a desk to get deep about analytics.

Data chaos doesn’t wait for a boardroom. So we took this Couch Confidentials special episode outside, wandering the streets of Amsterdam with Stefania Olofsdottir during Measurecamp. We talk about the origins of Avo, trusting teams with their own datasets, and how her journey from Iceland to analytics has always centered around making data meaningful before it breaks things downstream.

☀️ Recorded on a sunny stroll.

📍 Measurecamp Amsterdam.

🧠 Powered by Avo’s mission to fix bad data before it breaks your stack.

📄 Download Avo’s whitepaper: https://www.avo.app/resources/data-mesh-for-event-based-data

👥 Connect with us:

Stefania: https://www.linkedin.com/in/

The CDP Reboot: The Disillusionment

Part 3 of 4: Why the tech wasn’t the problem.

You bought the platform. You connected the data. The vendor promised it would all come together.

But somehow... it didn’t.

Thanks for reading Martech Therapy! Subscribe for free to receive new posts and support my work.

Welcome to Part 3 of the #CDPReboot series. This one’s about the part no one really wants to admit: that the technology mostly worked, but the context around it didn’t. And that’s where things started to fall apart.

This is not an exposé of CDPs. It’s a wake up call to challenge our expectations. Not the kind you can

“Who's winning the AI agent war in Martech?”

Michele Nieberding on CDPs, MCPs, and Martech strategy

This one’s been a long time coming. After a few reschedules, I finally had the pleasure of chatting with Michele Nieberding, and we went straight into the deep end of AI agents, the chaos of MCPs, and why marketers need to stop slapping "AI" on triggers and calling it innovation. We covered everything from Salesforce’s latest moves to why Aampe might just be the next unicorn in Martech.

Michele shares how product marketers are finding their way in the new wave of agentic thinking, what companies are getting wrong about AI observability, and her predictions on who’s

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