Visit Depth And Time
The Visit Depth & Time report moves beyond simple page counts to show you how deeply visitors engage with your site, when they visit, and whether they are coming back. These metrics are essential for understanding the quality of your traffic, not just its volume.
Visit depth — pages per session
Visit depth is the distribution of how many pages visitors view in a single session. Rather than showing just an average (which can be misleading), Statalog shows the full distribution across four buckets:
- 1 page — the visitor saw a single page and left (a bounce)
- 2 pages — the visitor navigated to one additional page
- 3–5 pages — a moderately engaged session
- 6+ pages — a deeply engaged session, indicating either strong content interest or an active funnel journey
Reading this distribution tells you much more than an average would. A site where 80% of sessions are single-page visits and 5% are 6+ page sessions has a very different engagement profile than one where 40% of sessions reach 3–5 pages. The shape of the distribution guides content strategy decisions: if you have very few 2-page sessions, the transition from a first page to a second is broken — navigation, related content recommendations, or CTAs may be missing.
Average session duration
Average session duration shows the mean time between a session's first pageview and its last recorded event. This metric gives you a headline number for how long visitors typically spend on your site in a sitting.
As with all averages, it is best read alongside the visit depth distribution. A long average session duration combined with a high single-page rate might indicate that a specific long-form page is holding visitors for a while before they leave, rather than indicating multi-page browsing.
Time of day heatmap
The time of day heatmap shows your traffic distributed across hours of the day and days of the week. Each cell in the grid represents one hour on one day, with darker shading indicating higher visitor volume relative to your average.
This tells you:
- Peak hours — when your audience is most active (useful for scheduling content publications and social posts)
- Low-traffic windows — good times to schedule maintenance or deployments
- Day-of-week patterns — whether your traffic is weekday-heavy (common for B2B) or weekend-heavy (common for consumer and entertainment content)
All times are shown in your account's configured timezone. If you serve an international audience, the heatmap will reflect the blended pattern across all timezones, which typically smooths out into broader peaks.
New vs returning visitors
Statalog distinguishes between new and returning visitors without using cookies. A visitor hash is computed from a combination of signals (browser, OS, screen size, and a daily rotating salt) and stored transiently. If the same hash is seen within a 30-day window, the subsequent visit is counted as returning.
- New visitors are those whose hash has not been seen in the past 30 days
- Returning visitors are those whose hash has been seen at least once in the past 30 days
This provides a meaningful signal about audience loyalty without identifying or tracking individual people. The hash is not a persistent identifier — it is a privacy-preserving approximation that degrades naturally over time.
A growing share of returning visitors typically indicates that your content is compelling enough to bring people back. For content-driven sites (blogs, documentation, newsletters), a returning visitor rate above 20–30% is generally a healthy sign.
Using these metrics for content strategy
Visit depth and session duration together form a picture of content gravity — how well your site holds attention and draws visitors through multiple pages.
If visit depth is shallow and session duration is short: the site may lack clear navigation paths, internal links, or reasons to continue browsing. Adding related content recommendations, improving navigation, and including clear CTAs at the end of articles are common fixes.
If visit depth is deep but session duration is short: visitors are clicking through quickly, which could indicate they are scanning rather than reading. This is common on documentation sites where visitors know exactly what they are looking for.
If the time of day heatmap shows a strong weekday morning peak: your audience is engaging with your site as a work tool, which shapes decisions about tone, content format, and email send timing.
FAQ
What does "returning" mean exactly? A visitor is counted as returning if their anonymised visitor hash has been recorded by Statalog at least once in the 30 days prior to the current session. This 30-day window is a rolling window — it resets from the most recent visit, not from a fixed calendar period.
How is the visitor hash computed without cookies? Statalog derives a daily hash from a combination of browser-reported signals — User-Agent, screen dimensions, and a server-side daily salt — without setting any persistent identifier in the browser. This means the hash naturally changes over time (due to the daily salt rotation and changes to the visitor's device or browser) and cannot be used to track individuals across extended periods or across devices.
Why show a distribution instead of just pages-per-session average? An average pages-per-session number hides the shape of engagement. A site with 30% single-page sessions and 30% 6+ page sessions has the same average as a site with 100% 3-page sessions, but they represent completely different audience behaviours and content experiences. The distribution lets you see the actual shape of how people engage.