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The Martech Readiness Gap

The Martech Readiness Gap

The technology arrived before the organization was ready to operate it. That distance between what you believe you're ready for and what you can actually sustain is the Martech Readiness Gap. And it's getting wider.

In my last piece, I wrote about Scott Brinker's composable canvas and the distance most organizations still have to travel before they can operate that way. I ended with the observation that data gravity and organizational distance are two forces that haven't quite caught up with each other yet, and that the gap between them isn't a problem to solve in one go, it's something to navigate.

That question, how far are we from being able to operate this way, has kept coming up in conversations since. So this piece is an attempt to name what's actually sitting inside that

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The composable canvas & the cosmos

The composable canvas & the cosmos

Data gravity is pulling everything together. AI is accelerating the journey. But for many organizations, the distance between systems, teams, and reality is still expanding. The future is clear. The path is less so.

I’ve been reading Databricks' and Scott Brinker’s recent paper on the New Martech Stack for the AI age. It’s one of those pieces that, just like studying astronomy, feels both clarifying and slightly unsettling at the same time.

Clarifying, because it puts words to something many of us have been feeling for a while. The stack is creaking. Integration is still eating time and energy. Data sits everywhere, but rarely works together in the way we need it to. So, the idea of moving toward a shared data foundation, with agents operating across it, makes intuitive sense.

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Breaking the Martech Mould

Breaking the Martech Mould

Most Martech platforms solve about 80% of what companies need. The remaining 20% becomes scripts, spreadsheets, and quiet workarounds. AI now makes that gap easier to build. But breaking the Martech mould raises a bigger question: are we building freedom, or just moving responsibility?

Last week I attended a conference with my wife that had absolutely nothing to do with marketing technology.

She is finishing her degree to become a teacher in the fine arts, and her research focuses on a topic that has been quietly worrying educators for years: school dropout rates and the role creativity can play in preventing them.

The numbers in the Netherlands are confronting. Roughly 20% of school-age children are considered neurodiverse in some form. Around 70,000 children are currently not attending school, and another 280,000 are at risk of dropping out.

Not because they lack intelligence

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The dirty truth about vibe coding in Martech

The dirty truth about vibe coding in Martech

After ~1000 hours vibe coding, I’ve learned something surprising. AI makes building software easier. But the moment your tool actually works… the real work begins. Hosting. Security. Monitoring. Maintenance. Are we replacing SaaS, or just redistributing responsibility? Curious how others see this.

Every few weeks, another post appears in my feed declaring that SaaS is finished.

Someone cancelled a subscription, vibe-coded a replacement in an afternoon, and now the economics of software are apparently solved. Why pay €30, €300, or €3,000 a month for a tool when an AI can generate the same thing with a prompt?

The sarcasm around vibe coding does reveal its limitations.

The story has become loud enough that it has started leaking into financial markets. Investors are suddenly trying to understand what AI-assisted software creation might do to companies like HubSpot, Adobe, and Salesforce. If every

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Martech Stack Builder, another step closer.

Martech Stack Builder, another step closer.

Two months ago, I started building the Martech Stack Builder to help companies and agencies visualize their marketing technology, but also improve cross-departmental collaboration. Here are some notes from the v0.10 update.

Here is a quick update on my Martech Stack Builder project. Over the last week, I have made some big improvements. Let me break them down for you.

What is the Martech Stack Builder?

Maybe I am getting too far ahead of myself, so here is a TL;DR.

Two months ago, I started building a Martech Stack Builder that helps you visualize and present your company's, or your client's, marketing technology stack. A "Miro for Marketing", I guess. The Martech Stack Builder lets you drag 'nodes' onto your canvas and build relationships between them. Additional consideration specific to marketing

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Diverted by design? What the CDP split means for the mid-market

Diverted by design? What the CDP split means for the mid-market

The CDP market didn’t just split into platforms and agents. It quietly diverted the mid-market along the way. This piece looks at what changed, why many teams now hesitate, and how CEPs became the safer path for getting things done.

In last week's part 1, I described how Gartner finally named the split inside the CDP category in their Magic Quadrant for Customer Data Platforms 2026. Platformization on one side. Agentification on the other.

Two futures, both serious, both demanding.

That still leaves a simple question hanging:

Who is this actually built for?

Because when you read this year’s Magic Quadrant carefully, the most telling signal isn’t who moved up or down, which opens another can of worms. It’s the kind of organization the category quietly assumes as the norm.

Large teams. Strong data foundations. Time to

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