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Customer Journeys shows the complete path each visitor takes through your site, including every touchpoint, event, and conversion across all sessions and devices.

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What It Does

Tracks Individual Users:
  • All events and pageviews chronologically
  • Sessions grouped automatically (30-minute timeout)
  • Cross-device attribution via email identification
  • Complete attribution from first touch to conversion
Shows Per User:
  • Email, visitor ID, user ID
  • Sessions, events, total value
  • Location and device information
  • First touch attribution
  • Complete event timeline

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Key Features

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Users Table

Browse all visitors with key metrics: Columns:
  • Email / ID
  • Sessions count
  • Events count
  • Total value
  • Location
  • Last seen timestamp
Filters:
  • Date range (Today, 7D, 30D, 3M, 12M)
  • Search by email, visitor ID, or user ID
  • Load more (paginated for performance)

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Journey Timeline

Click any user to view their complete journey: User Summary Card:
  • Profile information (email, IDs)
  • Activity stats (sessions, pageviews, events, value)
  • Location and device
  • First touch attribution (source, medium, campaign)
Event Timeline:
  • All events in reverse chronological order (newest first)
  • Pageviews, custom events, conversions
  • Parameters for each event (UTM tags, custom properties)
  • Session grouping
Event Types:
  • Pageview (with referrer)
  • Identify (user signup/login)
  • Custom events
  • Conversion events (with value)

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Cross-Device Tracking

Links visitors across devices using email identification: Example: 
Day 1 (Mobile): Clicks Facebook ad, browses pricing
Day 3 (Desktop): Signs up with email
Day 7 (Desktop): Purchases $99

Result: Purchase attributed to Facebook ad from mobile
When identify() is called with email, DATALYR links all sessions for that user.

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Use Cases

Debugging Conversions 
User didn't convert - why?
View their journey
See drop-off points
Identify friction in funnel
Attribution Research 
Which ads drive quality users?
Filter high-value customers
Check first touch attribution
Analyze successful paths
Support Investigations 
User reports signup issue
Search by email
View events around problem time
See error events
Understanding Behavior 
How do users discover features?
Track navigation patterns
See path to upgrade
Identify common journeys
Cross-Device Analysis 
Do users switch devices?
See mobile vs desktop behavior
Verify attribution works
Understand user habits

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How It Works

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Identity Resolution

Step 1: Anonymous visitor browses (visitor_id: anon_abc123) Step 2: User signs up and you call identify(): 
datalyr.identify('user_xyz789', {
  email: '[email protected]'
});
Step 3: DATALYR links all past and future events to this user Step 4: Cross-device purchases attributed correctly

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Event Parameters

Journey shows relevant parameters only: Shown:
  • UTM tags (source, medium, campaign)
  • Click IDs (fbclid, gclid, ttclid)
  • Custom properties (plan, order_id, etc.)
  • User traits (name, email)
Hidden (Technical):
  • visitor_id, session_id, timestamps
  • user_agent, IP, device fingerprints
  • Screen dimensions, viewport size

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Best Practices

Identify Users Early: 
// Call immediately after signup
datalyr.identify(user.id, {
  email: user.email,
  name: user.name
});
Add Meaningful Parameters: 
datalyr.track('purchase', {
  order_id: 'ch_123',
  plan: 'pro_monthly',
  value: 99.00
});
Track Key Milestones: 
datalyr.track('signup');
datalyr.track('first_project_created');
datalyr.track('team_invited');
datalyr.track('purchase');
Monitor High-Value Users:
  • Filter by Value > $500
  • Review their journeys
  • Identify common patterns

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Next Steps

Dashboard

View aggregated metrics

Reports

Analyze attribution by source

Event Stream

See real-time events

Identity Calls

Learn about identify() method