Analytics & Tracking

TractStack includes comprehensive analytics that automatically track visitor engagement and content performance. The system provides privacy-first analytics while supporting integration with external platforms like Google Analytics.

Built-in Analytics System

Automatic Event Tracking

TractStack automatically tracks engagement events without requiring additional configuration:

Core tracking events:

PAGEVIEWED: Visitor loads a page
ENTERED: Visitor scrolls to a content section
READ: Visitor spends time reading content (dwell time tracking)
GLOSSED: Visitor briefly scans content
CLICKED: Visitor interacts with buttons, links, or widgets
WATCHED: Visitor engages with video or media content
Impression: Visitor interacts with call-to-action notifications

Analytics Data Structure

Event properties:

Event type: Category of interaction
Timestamp: When the event occurred
Session ID: Visitor session identifier
Story fragment ID: Page where event occurred
Pane ID: Specific content section (where applicable)
Belief context: Associated visitor beliefs

Real-Time Tracking

Live analytics features:

Active visitor count: Current site visitors
Real-time events: Live interaction tracking
Geographic data: Visitor location insights
Device information: Platform and browser analytics

Privacy-First Approach

Zero-Party Data Focus

Data collection principles:

Voluntary sharing: Visitors choose what information to provide
Session-based tracking: Temporary visitor identification
No behavioral inference: Direct preference declaration instead of guessing
Transparent usage: Clear indication of how data is used

Privacy protection features:

No personal data collection without explicit consent
Session anonymization: Visitor tracking without identity storage
Data minimization: Only collect necessary information
Right to deletion: Visitor data removal capabilities

StoryKeep Analytics Dashboard

Engagement Metrics

Primary dashboard metrics:

Total Events: All tracked interactions across the site
Anonymous Visitors: First-time or unidentified visitors
Known Leads: Returning visitors with saved preferences
Total Leads: Email addresses collected through forms

Time Period Analysis

Available reporting periods:

Past 24 hours: Real-time daily patterns
Past 7 days: Weekly trends and engagement patterns
Past 28 days: Monthly overview and growth tracking

Content Performance

Page-level analytics:

Story fragment performance: Individual page metrics
Pane engagement: Content section interaction rates
Belief widget effectiveness: Preference declaration tracking
Conversion funnel analysis: Visitor journey through content

Lead Generation Analytics

Visitor Classification

Visitor categories:

Anonymous visitors: No identifying information provided
Known leads: Email provided or preferences saved with consent
Returning visitors: Multiple session tracking
Engaged users: High interaction levels

Lead Data Export

CSV export capabilities:

Contact information: Email addresses and engagement history
Interaction patterns: Content consumption and preference data
Belief profiles: Declared preferences and persona information
Conversion tracking: Goal completion and journey analysis

Google Analytics Integration

Setup Configuration

Integration process:

Obtain Google Analytics measurement ID (G-XXXXXXXXXX format)
Add to StoryKeep Advanced Settings (Admin only)
Configure event forwarding for TractStack events
Set up custom dimensions for belief-based segmentation

Event Forwarding

Automatic event sending:

TractStack events automatically forward to Google Analytics
Custom event names: TractStack events mapped to GA4 events
Enhanced data: Belief context and content section information
Goal tracking: Conversion events sent to Google Analytics

Custom Dimensions

Belief-based segmentation:

Visitor personas: Segment by declared identity (Developer, Manager, etc.)
Preference categories: Group by belief declarations
Engagement depth: Track interaction levels
Content personalization: Measure adaptive content effectiveness

Belief System Analytics

Preference Declaration Tracking

Belief analytics:

Widget interaction rates: How often visitors engage with belief widgets
Preference distribution: Most common belief declarations
Belief combinations: Popular visitor profile patterns
Conversion correlation: How beliefs affect goal completion

Personalization Effectiveness

Adaptive content performance:

Content revelation impact: Engagement before/after personalization
Belief-specific content: Performance by visitor segment
Progressive disclosure: Effectiveness of content unfolding
Journey optimization: Belief-driven path analysis

Technical Implementation

Event Collection

Client-side tracking:

JavaScript event listeners: Automatic interaction detection
Scroll tracking: Content section visibility monitoring
Time-based events: Dwell time and reading duration
Belief integration: Preference declaration tracking

Data Storage

Analytics data storage:

Session-based: Temporary tracking during visits
Aggregated reporting: Statistical analysis without personal data
Lead database: Consented contact information storage
Export capabilities: CSV downloads for external analysis

Performance Optimization

Efficient tracking:

Minimal overhead: Lightweight analytics implementation
Batched requests: Efficient data transmission
Local processing: Client-side event aggregation
Cached reports: Fast dashboard loading

Advanced Analytics Features

Cohort Analysis

Visitor cohorts:

Acquisition date: Performance by first visit time
Belief profiles: Behavior by declared preferences
Engagement levels: High vs low interaction visitors
Retention patterns: Return visit frequency and duration

Content Optimization

Performance insights:

High-performing content: Most engaging sections
Conversion drivers: Content leading to desired actions
Optimization opportunities: Low engagement areas needing improvement
A/B testing data: Content variation effectiveness

Custom Reporting

Flexible analytics:

Date range selection: Custom time periods for analysis
Event filtering: Specific interaction types
Segmentation: Visitor groups and behavior patterns
Export options: Data download for external analysis

Analytics Best Practices

Data Interpretation

Key performance indicators:

Engagement depth: Average events per session
Content effectiveness: Read completion rates
Conversion rates: Goal achievement percentages
Belief adoption: Preference declaration frequency

Privacy Considerations

Ethical analytics:

Consent management: Clear opt-in/opt-out options
Data transparency: Explain what data is collected and why
Minimal collection: Only gather necessary information
Regular audits: Review data collection practices

Performance Monitoring

System optimization:

Load impact: Analytics effect on site performance
Data accuracy: Validate tracking implementation
Report reliability: Ensure consistent data collection
Privacy compliance: Regular privacy policy review

TractStack’s analytics provide comprehensive insights into visitor behavior while maintaining privacy and enabling data-driven optimization of content and user experience.