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Customer Data Platform Architecture

Designs unified customer profiles using Segment, RudderStack, or custom CDP solutions with identity resolution, event streaming, audience segmentation, and privacy-compliant data governance.

Gold
v1.0.00 activationsData & AnalyticsTechnologyexpert

SupaScore

84.6
Research Quality (15%)
8.5
Prompt Engineering (25%)
8.5
Practical Utility (15%)
8.5
Completeness (10%)
8.5
User Satisfaction (20%)
8.3
Decision Usefulness (15%)
8.5

Best for

  • Architect unified customer profiles combining CRM, web, mobile, and transactional data sources
  • Design identity resolution systems with deterministic and probabilistic matching
  • Build real-time event streaming pipelines for customer behavior tracking
  • Implement privacy-compliant audience segmentation for marketing activation
  • Create reverse ETL workflows from data warehouse to marketing tools

What you'll get

  • System architecture diagram showing event collection, identity resolution, profile storage, and activation layers with specific technology recommendations
  • Event taxonomy with standardized naming conventions and schema validation rules for customer touchpoints
  • Identity graph design with deterministic/probabilistic matching logic, confidence thresholds, and merge/split strategies
Not designed for ↓
  • ×Basic web analytics setup or Google Analytics configuration
  • ×Simple email marketing automation without cross-channel data integration
  • ×Data warehouse design for non-customer use cases like inventory or finance
  • ×General GDPR compliance without specific CDP data flow considerations
Expects

Clear requirements for customer data sources, identity matching rules, activation destinations, privacy constraints, and expected profile volumes.

Returns

Technical architecture diagrams, event schemas, identity resolution logic, data flow specifications, and privacy-compliant governance frameworks.

Evidence Policy

Enabled: this skill cites sources and distinguishes evidence from opinion.

customer-data-platformcdpidentity-resolutionevent-streamingaudience-segmentationsegmentrudderstackreverse-etldata-governanceprivacy-complianceunified-profilereal-time-personalization

Research Foundation: 8 sources (4 official docs, 1 books, 3 industry frameworks)

This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.

Version History

v1.0.02/15/2026

Initial release

Prerequisites

Use these skills first for best results.

Works well with

Need more depth?

Specialist skills that go deeper in areas this skill touches.

Common Workflows

Enterprise CDP Implementation

Complete customer data platform deployment from warehouse foundation through identity resolution to privacy-compliant activation

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