Average session duration

This widget shows how long, on average, visitors browse your application during a single visit. Rather than looking only at how many users visit your application, this metric focuses on how meaningful those visits are. It also displays how sessions are distributed across different duration ranges.

The ranges are:

• Up to 5s
• From 6s to 30s
• From 30s to 1m
• From 1m to 3m
• More than 3m

Metrics

The chart includes:

1. Average session duration
   The average duration of sessions.
2. Session duration ranges
   Breaks down sessions into predefined ranges.

Interpretation

While a higher average session duration is often associated with better engagement, this metric should always be interpreted in context.

A short average session duration can indicate that users are not finding the content relevant, engaging, or informative enough, especially when the experience is expected to involve exploration, reading, or interaction.

On the other hand, extremely long sessions do not always mean success. In some cases, they may point to usability issues, unclear navigation, or friction that prevents users from completing their goals efficiently.

Analyzing the balance between short and long sessions helps identify friction points, content relevance, and opportunities to improve retention.

We calculate this metric using the formula:

$$Average \space session \space duration = \frac{total \space duration \space of \space sessions}{total \space sessions}$$

What the number tells you

Here are some common insights you can get from this widget:

• A high concentration of sessions in shorter ranges may indicate low perceived value, content misalignment, or onboarding issues.
• For content-heavy pages, very short sessions can signal that users are not consuming the content as expected.
• Longer session ranges often suggest deeper interaction, stronger interest, or successful onboarding.
• Changes in the distribution over time can signal the impact of experiments, content updates, or UX improvements.
• Averages should be evaluated over time and compared against your own benchmarks, since ideal session duration varies by product, industry, and use case.