Babysitter customer-data-platform
CDP operations for unified customer data management and audience activation
install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/business/marketing/skills/customer-data-platform" ~/.claude/skills/a5c-ai-babysitter-customer-data-platform && rm -rf "$T"
manifest:
library/specializations/domains/business/marketing/skills/customer-data-platform/SKILL.mdtags
source content
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