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Posts tagged with contextual cdp

Contextual CDPs: Contextual Fluency

Contextual CDPs: Contextual Fluency

Part 6 of 6: Being contextual is also about competence.

Over the last five posts, we’ve moved from speculative to strategic to practical. We’ve looked at how memory, inference, and model context protocols can enhance personalization, orchestration, governance, and architecture in and around the CDP. So, where does that leave us?

Right here.. yes, with the last post in the series, but more importantly, with the people, with YOU!

Because it’s one thing to build a system that can understand context. It’s another thing entirely to make that understanding usable across your organization. That’s what this final piece is about, turning contextual awareness into team

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Contextual CDPs: Composable, not chaotic

Contextual CDPs: Composable, not chaotic

Part 5 of 6: Contextual CDPs need lightweight structure, not heavyweight rebuilds

By now, we’ve explored what context can unlock in a CDP, from dynamic profiling to real-time orchestration and trust. We’ve talked about layering memory and inference without blowing up your current stack. So in this fifth part, let’s look at what happens when you want to make these contextual layers stick… without making everything feel like a pile of duct-taped services.

Because that’s the risk. Composability gives us incredible flexibility, but without some architectural discipline, it becomes hard to explain, harder to maintain, and impossible to govern.

Let’s explore how to structure context-aware systems in

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Contextual CDPs: Building the bridge

Contextual CDPs: Building the bridge

Part 4 of 6: What connects today's CDPs to tomorrow’s agent-driven context

If the first three parts of this series explored what’s possible when context becomes the driving force behind customer data, then this one asks a more grounded question:

How do we actually get there?

I’ve spoken with teams who are genuinely excited by the idea of using memory, inference, and context to make their CDPs smarter. But many feel stuck between inspiration and implementation. They see the potential, but don’t quite know where to start.

Let’s be honest, the martech stack is already complex enough. The last thing anyone wants is to bolt on a new

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Contextual CDPs: Trust as a feature

Contextual CDPs: Trust as a feature

Part 3 of 6: Why identity graphs can’t create relationships, and how context might.

In Part 1, I looked at how model context protocols could reshape the customer profile, from static to dynamic, from collected to interpreted. In Part 2, I spoke about how that same shift could drive smarter, more human orchestration across channels and touchpoints.

But there’s a deeper layer we need to talk about. Not tech. Not tactics. Trust.

Because when our systems start inferring, remembering, and deciding → the stakes change. And our responsibilities as builders shift right along with them.

Dynamic Context == Dynamic Responsibility

With great memory comes great obligation.

Sorry, Uncle Ben.

When we move from static profiles

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Contextual CDPs: Memory, not identity, is what makes context work

Contextual CDPs: Memory, not identity, is what makes context work

Part 2 of 6: How model context protocols could replace the brittle logic of user tracking.

In Part 1, I explored how model context protocols (MCPs) could shift CDPs from passive data stores into dynamic context engines. Profiles that update themselves in the moment, based on intent, tone, and history. Not just segments, but signals. And now? Let’s see what happens when those signals actually drive decisions… in real time, across multiple touchpoints.

Because here’s the next big unlock: context-aware orchestration.

Real-time isn’t just about speed

Let’s be honest, "real-time" has been one of those buzziest of buzzwords we’ve collectively abused for years. It often means “fast batch,” or “eventual personalization.

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Contextual CDP, let me explain why...

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.

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