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Event Explorer

The Event Explorer lets you browse, search, and analyze all the events being tracked in your product. It's the starting point for understanding your data and discovering insights.

Accessing Event Explorer​

Navigate to Analytics → Event Explorer from the sidebar.

Features​

Event List​

The main view shows all tracked events with key metrics:

ColumnDescription
Event NameThe name of the tracked event
Total CountTotal number of times this event was triggered
Unique UsersNumber of distinct users who triggered this event
Last SeenWhen this event was most recently triggered

Click on any event to explore its properties.

Search and Filter​

Use the search bar to find specific events by name. This is helpful when you have many events and need to find a specific one.

Select one or more events to see their volume over time:

  1. Click the event selector dropdown
  2. Choose the events you want to compare
  3. Select your preferred metric:
    • Event Count: Total number of events
    • Unique Users: Number of distinct users
  4. Choose time granularity:
    • Hourly: Best for recent data (last 24-48 hours)
    • Daily: Best for weekly/monthly views
    • Weekly: Best for long-term trends
Bots are excluded by default

The trend chart toolbar surfaces a small "Bots excluded" hint to remind you that the chart filters out events flagged as bot traffic. This matches GA4 / Mixpanel / Amplitude behavior - opens and clicks fired by mailbox-provider link prefetchers, mail-app preview crawlers, and security scanners no longer inflate engagement metrics out of the box. See Bot exclusion below for the full picture.

Property Breakdown​

When you select an event, you can explore its properties:

  1. Click on an event row or the filter icon
  2. The right panel shows all properties for that event
  3. Click on a property to see value breakdown
  4. Toggle between pie chart and bar chart views

This helps you understand the distribution of values for each property.

Common Use Cases​

Discovering What Events Exist​

When you're new to the data or want to audit what's being tracked:

  1. Leave the search empty to see all events
  2. Sort by "Total Count" to see most common events
  3. Sort by "Last Seen" to find recently active events

Finding High-Volume Events​

To identify your most triggered events:

  1. View the event list sorted by Total Count
  2. Select the top events for trend analysis
  3. Compare against unique users to understand if volume comes from many users or few power users

Analyzing Event Properties​

To understand the context of an event:

  1. Select the event you're interested in
  2. Click on each property to see value distribution
  3. Look for unexpected values or patterns

Example: For a "purchase_completed" event, you might analyze:

  • product_category - What categories sell most?
  • payment_method - Credit card vs. PayPal usage
  • device_type - Mobile vs. desktop purchases

Bot exclusion​

Every aggregate analytics surface - Event Explorer's trend chart, dashboard widgets, the campaign detail page, and journey analytics - excludes bot-flagged events by default. This prevents bots from inflating your engagement numbers.

What gets flagged as a bot​

The platform flags events fired by:

  • Mailbox-provider link prefetchers (Apple Mail Privacy Protection, Gmail's image proxy, Outlook safelink scanners)
  • Mail-app preview crawlers that fetch images and links to render notification previews
  • Security scanners that follow URLs in inbound email to check for phishing
  • Headless browser fingerprints typical of automated tooling

Where bot exclusion applies​

SurfaceBots excluded?
Event Explorer trend chartYes (with "Bots excluded" hint)
Dashboard widgetsYes
Campaign detail page metricsYes
Journey analyticsYes
Per-user event timelinesNo - bots are tagged but still shown
Compliance / data exportsNo - every event is exported

The exclusion is purely a dashboard concern, not a data-retention one. Bot-flagged events are still recorded; they just don't count toward aggregate metrics by default.

Date Range​

Use the date picker in the top right to adjust the analysis period. The event list and trends will update to show data only from the selected range.

Best Practices​

  1. Start broad, then narrow: Begin by exploring all events, then focus on specific ones
  2. Compare events: Select multiple related events to see relative volumes
  3. Check property coverage: Look for events with missing or null properties
  4. Monitor new events: Sort by "Last Seen" to catch newly implemented tracking