Architecture
DataGlue follows a modular architecture designed for flexibility, performance, and privacy compliance.System Overview
Core Components
Storage Layer
- localStorage: Persistent user data
- sessionStorage: Session-specific data
- Cookies: Cross-tab synchronization
Attribution Engine
- Multi-touch attribution tracking
- UTM parameter management
- Third-party platform integration
Form Integration
- Automatic field population
- Element selector patterns
- Fillout form enhancement
Dynamic Content
- Conditional content display
- User attribute evaluation
- Real-time personalization
Data Flow
- Collection: Gather data from URLs, interactions, and APIs
- Processing: Normalize and validate collected data
- Storage: Persist data across multiple storage mechanisms
- Application: Use data to enhance user experience
Security & Privacy
DataGlue is built with privacy-first principles:- Client-side data processing
- Configurable data collection
- GDPR/CCPA compliance
- No server-side data storage by default