Overview of Sealmetrics Data Collection
Sealmetrics employs innovative data collection methods that fundamentally differ from traditional analytics platforms. Our approach focuses on capturing essential business intelligence through privacy-preserving techniques that eliminate the need for personal data collection while providing comprehensive website insights.
Core Collection Methodologies
1. Aggregate Event-Based Collection
Methodology:
Event-Centric Approach: Every user interaction captured as discrete events
Aggregate Processing: Individual events compiled into statistical patterns
No Individual Attribution: Events cannot be linked to specific users
Real-Time Aggregation: Immediate compilation of meaningful metrics
Technical Implementation:
// Example of event-based data collection sealmetrics.track('page_view', { page: '/products', category: 'ecommerce', timestamp: Date.now() });2. Privacy-Preserving Session Tracking
GlobalTracker Methodology:
Temporary Session IDs: Unique identifiers for single sessions only
No Cross-Session Linking: Each visit treated independently
Automatic Expiration: Session data expires when visit ends
Data Flow Process:
User arrives on website
Temporary session ID generated (non-persistent)
Interactions tracked within session scope
Session data aggregated for insights
Session ID discarded when visit ends
3. Isolated Hits Collection (SEAL's Core Method)
Isolated Hits Methodology:
Disconnected Page Views: Each hit is tracked as a completely isolated event
No Hit Correlation: Clicks are not correlated with other clicks from the same user
Four-Variable System: Only essential data points collected per hit
No User Behavior Tracking: Individual user behavior patterns are not tracked
The Four Essential Variables Per Hit:
Timestamp: When the page view occurred
User Agent: Browser information (not stored for privacy protection)
Current URL: The specific page being viewed
Referral URL: Source of the traffic to that page
Infrastructure Details:
European Company: SEAL is based in Europe with full regulatory compliance
Dublin Servers: All data processing occurs on servers located in Dublin, Ireland
No Terminal Code: No code inserted into user's devices or terminals
Complete Isolation: Each hit exists independently without connection to other events
SEAL's Specific Collection Process:
// Example of SEAL's isolated hit collection // Each hit captures only these four variables: { timestamp: "2025-07-23T10:30:00Z", user_agent: "Mozilla/5.0...", // Not stored for privacy current_url: "https://example.com/products", referral_url: "https://google.com/search" }Privacy Safeguards:
No Storage of User Agent: Browser information captured but not stored
No Cross-Hit Correlation: Impossible to link hits to same user
European Data Processing: All processing on Dublin-based servers
Regulation Compliant: Meets GDPR, CCPA, PECR, and ePrivacy Directive requirements
Data Collection Technologies
1. JavaScript Pixel Implementation
Standard Implementation:
<!-- Basic tracking pixel --> <script> (function(s,e,a,l,m,t,r,i,c,s){ // Privacy-preserving tracking code // No cookies, no fingerprinting, no personal data })(window,document,'script','sealmetrics'); </script>Advanced Implementation Features:
Asynchronous Loading: Non-blocking page performance
Error Handling: Robust data collection reliability
Event Queuing: Ensures no data loss during page transitions
Cross-Domain Support: Multi-domain website tracking
Specific Data Collection Areas
Website Analytics Collection
Page View Tracking:
URL Analysis: Page path and structure analysis
Referrer Information: Traffic source identification (anonymized)
Device Context: General device and browser information
Geographic Region: Broad location data (country level)
E-commerce Data Collection
Purchase Tracking:
// E-commerce event collection sealmetrics.track('purchase', { value: 149.99, currency: 'USD', items: [ { item_name: 'Product A', category: 'Electronics', quantity: 1, price: 149.99 } ] });Revenue Analytics:
Transaction Values: Purchase amounts and currencies
Product Performance: Anonymous product interaction data
Conversion Funnel: Step-by-step conversion analysis
Cart Abandonment: Anonymous abandonment pattern analysis
Campaign Attribution Collection
UTM Parameter Processing:
Source Attribution: Campaign source identification
Medium Analysis: Marketing channel performance
Campaign Tracking: Individual campaign effectiveness
Content Performance: Creative and content analysis
Multi-Touch Attribution:
Channel Interaction Mapping: Anonymous multi-channel journeys
Conversion Path Analysis: Aggregate conversion pathways
Attribution Modeling: Statistical attribution calculations
ROI Measurement: Return on advertising spend analysis
Custom Event Collection
Business-Specific Metrics:
// Custom event tracking sealmetrics.track('video_play', { video_title: 'Product Demo', duration: 120, completion_rate: 0.75 }); sealmetrics.track('lead_generation', { form_name: 'contact_form', lead_source: 'organic_search' });Flexible Event Structure:
Custom Properties: Business-specific data points
Event Categories: Organized metric groupings
Value Assignment: Monetary or score-based valuations
Conditional Tracking: Logic-based event firing
Data Processing Pipeline
1. Collection Layer
Input Processing:
Event Validation: Ensures data integrity and format
Spam Filtering: Removes bot and invalid traffic
Anonymization: Immediate privacy-preserving processing
Quality Assurance: Data accuracy verification
2. Aggregation Layer
Statistical Compilation:
Pattern Recognition: Identifies meaningful trends
Metric Calculation: Computes business intelligence indicators
Trend Analysis: Time-series pattern identification
Comparative Analysis: Period-over-period comparisons
3. Intelligence Layer
Insight Generation:
Performance Metrics: Key performance indicator calculation
Attribution Analysis: Marketing effectiveness measurement
User Behavior Insights: Aggregate behavior pattern analysis
Business Intelligence: Actionable insight derivation
Data Quality Assurance
Accuracy Measures
Data Validation:
Event Verification: Ensures data authenticity
Duplicate Detection: Prevents data inflation
Bot Filtering: Removes non-human traffic
Quality Scoring: Data reliability assessment
Reliability Features
System Robustness:
Redundant Collection: Multiple collection pathways
Error Recovery: Automatic retry mechanisms
Data Backup: Prevents data loss
Performance Monitoring: System health tracking
Collection Compliance
Privacy-First Collection
Compliance Features:
No Personal Data: Zero collection of identifying information
Consent-Free: No user consent required for collection
Automatic Anonymization: Built-in privacy protection
Regulation Compliance: GDPR, CCPA, ePrivacy adherence
Security Measures
Data Protection:
Encryption in Transit: Secure data transmission
Encrypted Storage: Protected data at rest
Access Controls: Restricted data access
Audit Trails: Complete data handling logs
Collection Performance
Efficiency Metrics
System Performance:
Sub-Second Processing: Rapid data collection and processing
Minimal Page Impact: Lightweight tracking implementation
High Availability: 99.9% uptime guarantee
Scalable Architecture: Handles high-volume websites
Resource Optimization
Technical Efficiency:
Bandwidth Minimal: Lightweight data transmission
CPU Efficient: Low processing overhead
Memory Optimized: Minimal resource consumption
Cache Friendly: Optimized for performance
Sealmetrics' data collection methods represent a paradigm shift in web analytics, proving that comprehensive business intelligence can be achieved without compromising user privacy. Our innovative approach captures all the data businesses need while respecting user privacy through technical design rather than regulatory compliance alone.