home / skills / a5c-ai / babysitter / customer-data-platform
This skill enables unified customer data management across segments, enabling precise audience activation and privacy-compliant orchestration across platforms.
npx playbooks add skill a5c-ai/babysitter --skill customer-data-platformReview the files below or copy the command above to add this skill to your agents.
---
name: customer-data-platform
description: CDP operations for unified customer data management and audience activation
allowed-tools:
- Read
- Write
- Glob
- Grep
- Bash
- WebFetch
metadata:
specialization: marketing
domain: business
category: Marketing Analytics
skill-id: SK-015
---
# 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
```yaml
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
```yaml
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
```yaml
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
```yaml
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
```yaml
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
1. **Data Quality**: Implement validation rules to ensure data consistency
2. **Privacy First**: Configure consent management before collecting data
3. **Identity Strategy**: Define clear identity resolution rules and priorities
4. **Event Taxonomy**: Maintain a documented event naming convention
5. **Destination Mapping**: Carefully map fields to destination requirements
6. **Testing**: Use debug mode to validate tracking before production
7. **Documentation**: Maintain data dictionaries and tracking plans
8. **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
This skill provides Customer Data Platform (CDP) operations for unified customer data management, audience segmentation, and activation across marketing channels. It supports major CDP platforms and focuses on identity resolution, event tracking, privacy-compliant orchestration, and destination activation. The skill helps teams turn raw customer events into clean profiles and actionable audiences.
The skill configures sources, schemas, and tracking plans, then validates and ingests events into a unified profile store. It performs identity stitching using deterministic and probabilistic rules, maintains an identity graph, and applies merge policies for real-time profile updates. Audiences are created using rule-based, behavioral, or predictive definitions and are synced to advertising, email, CRM, and analytics destinations with field mappings and schedules.
Which CDP platforms does this skill support?
Supports Segment, mParticle, and Adobe Real-Time CDP, plus connectors to common marketing, analytics, and CRM destinations.
How does identity resolution handle conflicts?
You define a priority order and merge policy (for example most_recent); the skill applies deterministic matching first, then probabilistic rules with configurable confidence thresholds, and records audits for conflict resolution.