customer-data-platform
// CDP operations for unified customer data management and audience activation
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updated:March 4, 2026
SKILL.mdreadonly
SKILL.md Frontmatter
namecustomer-data-platform
descriptionCDP operations for unified customer data management and audience activation
allowed-toolsRead,Write,Glob,Grep,Bash,WebFetch
metadata[object Object]
Customer Data Platform Skill
Overview
The Customer Data Platform Skill enables comprehensive CDP operations for unified customer data management, audience segmentation, and activation across marketing channels. This skill provides integration with major CDP platforms including Segment, mParticle, and Adobe Real-Time CDP, supporting identity resolution, event tracking, and privacy-compliant data orchestration.
Capabilities
Segment CDP Integration
- Source and destination configuration
- Event tracking implementation
- Persona (customer profile) management
- Audience building and syncing
- Privacy portal configuration
- Protocol schema management
- Function development
- Destination filtering and mappings
mParticle Data Orchestration
- Input and output configuration
- Data planning and validation
- Identity resolution setup
- Audience management
- Kit integration configuration
- Data filter rules
- User attribute management
- Forwarding rules configuration
Adobe Real-Time CDP
- Schema and dataset management
- Identity namespace configuration
- Merge policy setup
- Segment Builder operations
- Destination activation
- Data governance labeling
- Profile enrichment
- Edge profile configuration
Customer Profile Unification
- Identity graph management
- Cross-device identity stitching
- Deterministic matching rules
- Probabilistic matching configuration
- Profile merge strategies
- Duplicate detection and resolution
- Historical profile reconstruction
- Real-time profile updates
Audience Building and Segmentation
- Rule-based segment creation
- Behavioral segmentation
- Predictive audience modeling
- Lookalike audience generation
- Segment overlap analysis
- Dynamic segment updates
- Segment sharing across destinations
- A/B test audience allocation
Event Tracking Configuration
- Event taxonomy design
- Event schema definition
- Event validation rules
- Custom event properties
- Event enrichment
- Real-time event streaming
- Historical event replay
- Event debugging and testing
Data Activation
- Marketing channel activation
- Advertising platform syncing
- Email platform integration
- Personalization engine feeds
- Analytics destination routing
- CRM synchronization
- Custom destination development
- Activation scheduling
Identity Resolution
- First-party identity management
- Third-party ID integration
- Cross-channel identity mapping
- Anonymous to known identity linking
- Identity confidence scoring
- ID graph visualization
- Identity conflict resolution
- Privacy-compliant ID management
Privacy and Consent Management
- Consent collection configuration
- Preference center integration
- GDPR compliance implementation
- CCPA opt-out management
- Data subject request automation
- Consent signal propagation
- Privacy policy enforcement
- Audit trail maintenance
Process Integration
This skill integrates with the following marketing processes:
- customer-segmentation-analysis.js - Advanced segmentation and audience building
- customer-journey-analytics.js - Journey tracking and profile enrichment
- attribution-modeling-setup.js - Identity resolution for attribution
Dependencies
- Segment API
- mParticle API
- Adobe Experience Platform API
- Marketing platform APIs (for destinations)
- Analytics platform APIs (for data sources)
- CRM APIs (for profile synchronization)
Usage
Event Tracking Setup
skill: customer-data-platform
action: configure-event-tracking
parameters:
platform: segment
tracking_plan:
name: "Marketing Events"
events:
- name: Page Viewed
properties:
page_name: string
page_category: string
referrer: string
- name: Product Viewed
properties:
product_id: string
product_name: string
category: string
price: number
- name: Campaign Clicked
properties:
campaign_id: string
campaign_name: string
channel: string
creative_id: string
Audience Building
skill: customer-data-platform
action: create-audience
parameters:
platform: segment
audience_name: "High Value Prospects"
definition:
conditions:
- type: event
event: Product Viewed
count: ">= 3"
timeframe: last_30_days
- type: trait
property: customer_ltv
operator: ">="
value: 500
- type: event
event: Order Completed
count: "= 0"
logic: AND
destinations:
- facebook-ads
- google-ads
- braze
Identity Resolution Configuration
skill: customer-data-platform
action: configure-identity
parameters:
platform: mparticle
identity_strategy:
priority_order:
- customer_id
- email
- phone
- device_id
matching_rules:
- type: deterministic
identifiers: [customer_id, email]
- type: probabilistic
confidence_threshold: 0.85
identifiers: [device_id, ip_address]
merge_policy: most_recent
Destination Activation
skill: customer-data-platform
action: activate-audience
parameters:
platform: adobe-rtcdp
audience_id: "high-intent-shoppers"
destinations:
- destination: google-ads
mapping:
user_id: customer_id
hashed_email: email_sha256
schedule: real-time
- destination: facebook-ads
mapping:
extern_id: customer_id
email: email_hash
schedule: daily
Privacy Configuration
skill: customer-data-platform
action: configure-privacy
parameters:
platform: segment
consent_categories:
- name: marketing
description: "Marketing and advertising"
default: opt-out
- name: analytics
description: "Analytics and measurement"
default: opt-in
- name: functional
description: "Required for site functionality"
default: required
regulations:
gdpr:
enabled: true
data_subject_request_automation: true
ccpa:
enabled: true
do_not_sell_signal: true
Best Practices
- Data Quality: Implement validation rules to ensure data consistency
- Privacy First: Configure consent management before collecting data
- Identity Strategy: Define clear identity resolution rules and priorities
- Event Taxonomy: Maintain a documented event naming convention
- Destination Mapping: Carefully map fields to destination requirements
- Testing: Use debug mode to validate tracking before production
- Documentation: Maintain data dictionaries and tracking plans
- Governance: Implement data access controls and audit logging
Related Skills
- SK-005: Marketing Analytics Platform
- SK-018: CRM Integration
- SK-020: Customer Journey Mapping
Related Agents
- AG-008: Marketing Analytics Director
- AG-010: Consumer Insights Specialist