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Event Stream shows a live feed of all events tracked by DATALYR, making it easy to debug tracking, verify conversions, and monitor user activity in real-time.

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What It Does

Real-Time Event Feed:
  • All events as they happen
  • Pageviews, custom events, conversions
  • Event properties and metadata
  • User attribution data
Shows Per Event:
  • Event name and timestamp
  • User email / visitor ID
  • Event properties (parameters)
  • Attribution (source, medium, campaign)
  • Device and location
  • Session information

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Key Features

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Live Feed

Events appear instantly as they happen: Auto-Refresh:
  • Updates every few seconds
  • No manual refresh needed
  • Newest events at top
Event Cards: 
pageview - 2 seconds ago
Email: [email protected]
Page: /pricing
Referrer: google.com
Source: google | Medium: organic
Each card shows key information at a glance.

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Event Filtering

Filter events by: By Event Name:
  • pageview
  • purchase
  • signup
  • Custom events
By User:
  • Specific email address
  • Visitor ID
  • User ID
By Property:
  • UTM parameters
  • Custom properties
  • Event values
By Date:
  • Last hour
  • Last 24 hours
  • Last 7 days
  • Custom range

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Event Details

Click any event to see full details: Event Data:
  • Event name and ID
  • Timestamp (workspace timezone)
  • Event properties (all parameters)
User Data:
  • Email, visitor ID, user ID
  • Device (browser, OS, type)
  • Location (city, region, country)
Attribution:
  • Source, medium, campaign
  • Click IDs (fbclid, gclid, ttclid)
  • Landing page
  • Referrer
Session:
  • Session ID
  • Session start time
  • Events in session
  • Session source
Search events by any field: 
Search: "purchase"
Shows: All purchase events

Search: "[email protected]"
Shows: All events from that email

Search: "utm_campaign=summer_sale"
Shows: Events from that campaign
Search is instant and case-insensitive.

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Export Events

Download events for analysis: CSV Export:
  • All visible events
  • All properties included
  • Ready for Excel/Sheets
JSON Export:
  • Raw event data
  • Full property structure
  • For developers

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Use Cases

Verify Tracking 
Install tracking script
Visit your site
Check Event Stream
Confirm pageview appears
Debug Events 
Track custom event
View in Event Stream
Check all properties sent
Verify data structure
Test Conversions 
Complete purchase on site
See purchase event in stream
Verify order_id and value
Check attribution data
Monitor User Activity 
Watch events from specific user
See their navigation path
Debug reported issues
Understand user behavior
Check Integration 
New Shopify order created
Event appears in stream
Verify order properties
Confirm attribution correct

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How It Works

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Event Processing

Flow: 
1. Event tracked (website, SDK, integration)
2. Processed by DATALYR servers
3. Enriched with attribution
4. Appears in Event Stream (< 1 second)
5. Stored in database
Real-time processing ensures events appear immediately.

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Data Retention

Event Stream Shows:
  • Last 7 days of events by default
  • Up to 10,000 most recent events
  • Filter to see older events
Full History:
  • All events stored permanently
  • Access via Reports and Customer Journeys
  • Export for custom analysis

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Event Types

Automatic Events:
  • pageview (every page load)
  • session_start (new sessions)
  • session_end (after 30min inactivity)
Custom Events:
  • Any event you track with track()
  • Custom properties included
  • Full flexibility
Integration Events:
  • Shopify orders (order_paid, order_fulfilled)
  • Stripe payments (payment_succeeded, subscription_created)
  • Platform conversions

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Best Practices

Verify New Events:
  • Always test in Event Stream first
  • Check property names match expectations
  • Verify data types (string, number, boolean)
Debug with Filters:
  • Filter by event name to focus
  • Search by email when debugging specific user
  • Use date range for historical investigation
Check Attribution:
  • Verify UTM parameters captured
  • Confirm click IDs present (for ads)
  • Check source/medium assignment
Monitor Conversions:
  • Watch purchase events
  • Verify conversion values
  • Check attribution data includes campaign info
Use for Training:
  • Show team how tracking works
  • Demonstrate event flow
  • Explain attribution in real-time

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Limitations

Recent Events Only:
  • Event Stream shows last 7 days
  • Older events via Reports or Customer Journeys
  • Not a full event database browser
No Editing:
  • Events are read-only
  • Cannot modify or delete events
  • Cannot resend events
Performance:
  • High-traffic sites may see delayed events
  • Stream shows sample on very high volume
  • All events still processed and stored

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Next Steps

Customer Journeys

View complete user timelines

Events Overview

Learn about events

Properties and Metadata

Understand event properties

Dashboard

View aggregated metrics