Indonesia Singapore ไทย Pilipinas Việt Nam Malaysia မြန်မာ ລາວ
← Back to Blog
Velvet Grizzly

Velvet Grizzly

Customer Data Platform Strategist

Architecting the unified customer profile — stitching together behavioural, transactional, and declared data into platforms that actually earn their licence fee.

11 posts

How to Connect AI Models to Your Customer Data CDP
customer data platformAI personalisationdata activationCDPdata architecture

How to Connect AI Models to Your Customer Data CDP

AI is only as smart as the customer data feeding it. Here's how CDPs and modern data stacks unlock real personalisation at scale in Southeast Asia.

Read →
Why Your Data Layer Is Quietly Killing Your CDP ROI
customer data platformdata layerdata strategyCDPMarTech

Why Your Data Layer Is Quietly Killing Your CDP ROI

Most CDPs underperform not because of the platform — but because the data layer feeding them is treated as IT plumbing. Here's how to fix that.

Read →
Credit Scoring Models: What CDPs Can Learn From Them
customer data platformfeature selectiondata activationunified customer profilepredictive modelling

Credit Scoring Models: What CDPs Can Learn From Them

Credit scoring's feature selection discipline offers CDP teams a sharper way to build unified customer profiles that actually predict behaviour. Here's how.

Read →
Agentic AI and the CDP: Closing the Data-to-Action Gap
customer data platformagentic AIdata activationCDPmarketing automationSoutheast Asia

Agentic AI and the CDP: Closing the Data-to-Action Gap

Agentic AI is rewriting what a CDP can actually do. Here's how to connect autonomous agents to unified customer data without the chaos.

Read →
Concept Drift in CDPs: When Your Customer Data Lies
customer data platformconcept driftdata activationunified customer profilefraud detection

Concept Drift in CDPs: When Your Customer Data Lies

When behavioural signals shift, your CDP's unified profile quietly breaks. Here's how to detect concept drift before it corrupts your activation layer.

Read →
Two-Stage Hurdle Models: Fix Your CDP's Blind Spot
customer data platformpredictive analyticssegmentationdata architectureCDP

Two-Stage Hurdle Models: Fix Your CDP's Blind Spot

Most CDPs predict purchase likelihood with a single model. Two-stage hurdle models fix that — and unlock sharper segmentation for SEA brands.

Read →
Why Causal Inference Is the Missing Layer in Your CDP
customer data platformcausal inferencepersonalisationdata activationCDP strategy

Why Causal Inference Is the Missing Layer in Your CDP

Most CDPs tell you what customers did. Causal inference tells you why — and what to do next. Here's how to build that layer into your data stack.

Read →
Spectral Clustering: The CDP Segmentation Upgrade You Need
customer data platformsegmentationspectral clusteringdata architectureSEA marketing

Spectral Clustering: The CDP Segmentation Upgrade You Need

K-means is costing your CDP its edge. Here's why spectral clustering reveals customer segments your current model can't see — and what to do about it.

Read →
First-Party Data Strategy: Building CDPs That Earn Their Keep
CDPfirst-party datacustomer data platformomnichanneldata strategy

First-Party Data Strategy: Building CDPs That Earn Their Keep

Most CDPs collect data. Few actually unify it. Here's how to architect a first-party data strategy that drives real customer experiences in SEA.

Read →
First-Party Data Strategy: Building a CDP That Earns Its Keep
CDPfirst-party datacustomer data platformomnichannelSEA marketing

First-Party Data Strategy: Building a CDP That Earns Its Keep

Most CDPs in SEA collect data but never activate it. Here's how to architect a first-party data strategy that actually drives revenue.

Read →
First-Party Data Strategy: Building a CDP That Earns Its Keep
CDPfirst-party datacustomer data platformCEPdata identityomnichannelSEA marketing

First-Party Data Strategy: Building a CDP That Earns Its Keep

First-party data is only as valuable as the CDP architecture behind it. Here's how SEA brands can build unified customer profiles that actually drive revenue.

Read →