# Engagement Analytics



VitalSentinel tracks user engagement metrics and correlates them with performance data, helping you understand how site speed affects user behavior.

This page is part of [RUM Monitoring](/features/rum-monitoring) and lives at **Domain** → **RUM** → **Engagement**.

## How It Works [#how-it-works]

When engagement tracking is enabled (default), the RUM script captures:

1. **Scroll behavior** - How far users scroll down the page
2. **Click interactions** - Rage clicks and clicks on interactive elements
3. **Time on page** - Active engagement time
4. **Form interactions** - Form abandonment and completion

## What You See [#what-you-see]

The Engagement page is built around a single **performance × engagement correlation chart**. You pick one performance metric on one axis and one engagement metric on the other, and the chart shows how they relate across your real users.

### Summary Cards [#summary-cards]

Above the chart you'll find:

* **Total Sessions** in the selected window
* **Good Performance** – the share of sessions where the chosen performance metric was in the "good" range
* **Average value** of the chosen engagement metric

### Correlation Chart [#correlation-chart]

Bar chart of session distribution across performance buckets, with a line overlay of the selected engagement metric per bucket.

**Performance metric (selectable):** LCP, INP, CLS, FCP, TTFB.

**Engagement metric (selectable):**

| Metric                                  | Description                                       |
| --------------------------------------- | ------------------------------------------------- |
| Scroll Depth (25%, 50%, 75%, 90%, 100%) | Share of sessions that scrolled at least this far |
| Clicks per Session                      | Average clicks per session                        |
| Bounce Rate                             | Single-page sessions                              |
| Rage Click Rate                         | Sessions with rapid frustrated clicking           |
| Form Abandonment Rate                   | Sessions that started but did not submit a form   |
| Time on Page                            | Average active engagement time                    |
| Attention Score                         | Combined engagement quality score                 |
| Time to First Interaction               | Average time until the first interaction          |

**Typical patterns:**

* Slower LCP → higher bounce rate
* Better INP → more clicks per session and lower rage-click rate
* Lower TTFB → longer time on page

## Rage Click Detection [#rage-click-detection]

Rage clicks are detected when users click rapidly in frustration:

* 3 or more clicks on the same element
* Within a 2-second window

High rage click rates indicate:

* Broken links or buttons
* Slow-responding UI elements
* Confusing interface design

### Finding Rage Click Sources [#finding-rage-click-sources]

1. Filter by high rage click rate
2. Check which pages have issues
3. Review click targets
4. Fix unresponsive elements

## Form Analytics [#form-analytics]

The RUM script tracks form focus, field changes, submissions, and abandonment. In the dashboard this surfaces as the **Form Abandonment Rate** engagement metric – the share of sessions that started filling a form but left without submitting. Select it in the correlation chart to see how performance relates to form abandonment.

### Reducing Form Abandonment [#reducing-form-abandonment]

* Simplify form fields
* Add progress indicators
* Improve form validation
* Optimize form load time

## Filtering Data [#filtering-data]

The Engagement page shares the standard RUM filter bar:

* **Date range** – any window, with an optional compare-to-previous-period toggle
* **Device** – Mobile or Desktop
* **Advanced filter** – narrow by URL path, country, or browser

See [RUM Monitoring](/features/rum-monitoring#filters) for details on the filter bar.

## Use Cases [#use-cases]

### Measuring Content Engagement [#measuring-content-engagement]

Track scroll depth to understand:

* Is content engaging enough?
* Do users read full articles?
* Where do users drop off?

### Improving Conversion [#improving-conversion]

Correlate performance with actions:

* Faster pages = more sign-ups?
* Page speed affecting purchases?
* Performance impact on engagement?

### Identifying UX Issues [#identifying-ux-issues]

Find problems via:

* High rage click rates
* Low scroll depth despite long content
* High form abandonment
* Low time on page

## Best Practices [#best-practices]

### Set Engagement Goals [#set-engagement-goals]

Define targets for:

* Minimum scroll depth for key pages
* Maximum acceptable bounce rate
* Target time on page

### Monitor Trends [#monitor-trends]

Watch for changes:

* Engagement drops after deployments
* Seasonal patterns
* Device-specific issues

### Correlate with Performance [#correlate-with-performance]

Use correlation data to:

* Justify performance improvements
* Quantify speed impact on business
* Prioritize optimization work

## Related Features [#related-features]

<Cards>
  <Card title="RUM Monitoring" href="/features/rum-monitoring">
    Core Web Vitals tracking
  </Card>

  <Card title="Web Analytics" href="/features/web-analytics">
    Traffic and behavior analysis
  </Card>

  <Card title="Error Tracking" href="/features/error-tracking">
    JavaScript error monitoring
  </Card>
</Cards>