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Events dashboard

The Events dashboard shows how visitors interact with your website by tracking standard and custom events. It highlights event volumes, trends over time, and how often events occur per session.

The dashboard helps you understand how users engage with pages, buttons, and features, which interactions happen most frequently, and how changes to your website influence user behavior.

How event analytics are generated

The Events dashboard displays event data sent from your website to SitecoreAI during the selected time period.

Events include standard types, such as as VIEW, ADD, and INTERACTION, as well as any custom events your implementation captures.

Event analytics are calculated based on the total number of events and how those events occur across user sessions.

Open the dashboard

To open the Events dashboard, in the navigation menu, click Performance. Then, select Events.

The Events dashboard provides insights on website events like VIEW, ADD, INTERACTION, and custom events

Filter events data

Use filters to narrow down the data displayed on the Events dashboard:

Site - select a specific site from the All sites drop-down list to view events data for that site. By default, data from all sites is shown.
Time - choose a time frame such as such as 1 hour, 1 day, 1 week, 1 month, or specify a custom date range up to the previous two months. The default view shows data from the previous month. .
Event type - select any standard or custom event. The default view shows data from for all event types sent from your website.

Events metrics

The Events dashboard summarizes how often events occur on your website, including both standard and custom events, during the selected period.

Tip

The dashboard displays totals and trends so you can compare results with the previous period. Trend indicators help highlight these changes.

A green upward arrow represents an increase.
A red downward arrow represents a decrease.

For example, a red value under View events signals declining views to your website.

Key performance indicators - these are the primary metrics used to measure event activity and interaction:
- Event count - the total number of events recorded across all event types during the selected period.
- View events - the total number of VIEW events recorded from the website during the selected period.
- Tracking and interaction events - the combined number of TRACKING events INTERACTION events recorded during selected period.
- Events per session - the average number of events per session during the selected period. This metric is calculated by dividing the Event count by the total number of sessions.
Events over time (graph) - shows the trend in event volume and the distribution of event types.
- Hover over any point in the chart to see specific values.
- The y-axis shows the number of events, and the x-axis displays time intervals based on Time filter selected.
- Click an event type in the legend to show or hide it. Hidden events appear with a strikethrough label.
Events table - displays a breakdown of event and session counts by event type. This includes columns for event type, event count, session count, and events per session (calculated by dividing event count by session count).
- To sort a column, click the arrows in the column heading.

Interpreting dashboard values

Event metrics gain value when tracked over time or compared across event types. The table below outlines common signals and recommended next steps.

Metric	Signals to investigate	Recommended steps
Event count	Sudden increases or decreases could indicate changes in traffic, campaigns, or features.	Review recent releases, marketing campaigns, or performance incidents.
View events	Fewer views over time could indicate pages are harder to reach or less discoverable.	Review navigation, internal links, and SEO visibility.
Tracking and interaction events	A decline could indicate users are not engaging with UI elements or interactive features.	Check component visibility, placement, or usability changes.
Events per session	Low values could indicate reduced engagement. High values could indicate users are exploring more than expected or struggling to complete tasks.	Compare against core journeys and test whether steps are clear or too complex.
Events over time (graph)	Spikes or drops could indicate releases, issues, content changes, or traffic from campaigns.	Validate against campaign calendar and release notes.
Events table	Imbalances across event types could indicate underused or overly relied-on features.	Align event activity with intended user journeys and key site goals.

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