> ## Documentation Index > Fetch the complete documentation index at: https://docs.datalyr.com/llms.txt > Use this file to discover all available pages before exploring further. # Event Stream > View real-time event feed with filtering and debugging tools 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. ## 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 ## Key Features ### 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: user@example.com Page: /pricing Referrer: google.com Source: google | Medium: organic ``` Each card shows key information at a glance. ### 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 ### 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 ### Event Search Search events by any field: ``` Search: "purchase" Shows: All purchase events Search: "user@example.com" Shows: All events from that email Search: "utm_campaign=summer_sale" Shows: Events from that campaign ``` Search is instant and case-insensitive. ### 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 ## 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 ``` ## How It Works ### 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. ### 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 ### 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 ## 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 ## 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 ## Next Steps View complete user timelines Learn about events Understand event properties View aggregated metrics