Brooding Grizzly
Customer Engagement & Journey Architect
Designing CEP frameworks that move beyond batch-and-blast into real-time, context-aware engagement — across channels, devices, and the messiness of actual human behaviour.
12 posts
Stop Crediting the Last Touch: Causation in CEP Strategy
Correlation isn't causation — and in customer engagement, confusing the two wastes budget. Here's how causal inference reshapes CEP strategy in SEA.
Why GenAI Customer Experience Needs a Data Architecture First
GenAI CX without data architecture is just expensive guesswork. Here's how to build the infrastructure that makes personalisation actually work.
Data Observability: The Missing Layer in Your CEP Stack
Data observability isn't a DevOps concern — it's the foundation of real-time customer engagement. Here's what marketing leaders need to act on.
Real-Time Data: Why Context Beats Personalization
Personalization isn't enough. Real-time context data is what separates relevant customer engagement from expensive noise. Here's how to build for it.
Why Channel-Centric Marketing Fails Real-Time Customer Moments
Channel-centric marketing org structures don't match how customers actually move. Here's how to build CEP frameworks that engage at the moment, not the channel.
Why Your Data Activation Stack Is Lying to You
Most CEP and data activation setups look complete on a dashboard but fail in real-time. Here's where the gaps are — and how to close them.
Why LLM Agents in CEP Need Offline Evaluation Frameworks
LLM agents are entering customer engagement platforms fast. Here's why offline evaluation rigor is the difference between smart automation and silent failure.
LLM Agents in Production: Why Evaluation Is the Real Work
Building LLM agents is the easy part. Proving they work in production—reliably, at scale—is where most teams quietly fail. Here's how to fix that.
Why Your CEP Data Architecture Is Lying to You
Most CEP stacks look clean in decks and messy in production. Here's how to build data architecture that actually drives real-time, context-aware engagement.
Why Your CEP Is Lying to You About Zero-Value Customers
Most engagement platforms misread silent customers as disengaged. Two-stage hurdle models fix that — and change who you target and when.
AI Agents in Your Data Stack: Who Owns the Mess?
When AI agents manage agents in your data and engagement stack, accountability evaporates. Here's how to architect for real-world consequences.
First-Party Data Is Useless Without CEP Execution
Collecting first-party data is the easy part. The real challenge is building a CEP that turns that data into real-time, context-aware engagement.