We’ve dedicated a lot of time to analyzing the performance of all kinds of content created with Foleon. Based on our experience and customer feedback, we selected the most important metrics for assessing your content’s success — and improving its performance down the line.
💡 Not sure how to access Foleon Analytics? Check out our article on How to access our built-in Foleon analytics.
📖 Want to share your Foleon Analytics report with your team? Check out our quick guide.
In this article
The number of visitors over time
At the very top of the page, you’ll see a graph with the number of unique visitors over time. You can edit the date range in the top right corner, which will change all of the data on the page accordingly.
You can download a PDF file of the analytics report to share insights with your team easily. After you click on download report and select the PDF option, your download will start immediately.
⚠️ A Doc's preview link (e.g., https://example.viewer.foleon.com) is not tracked with Foleon Analytics. To see data in Foleon Analytics, share the URL of your published Foleon Doc (e.g., https://example.customdomain.com).

Metrics on a Foleon Doc level
Below the visitors graph, you’ll see metrics on a Foleon Doc level.
💡 When a Doc has been taken offline (unpublished), you'll still be able to see the analytics from when it was online (published).

On a Foleon Doc level, you’ll see:
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Unique visitors — The number of people who have visited your Doc over the selected period.
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Doc visits — The number of times people have visited your Doc. A visitor can have multiple visits.
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Pages per visit — The average number of pages viewed per visit.
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Visit time — The average amount of time spent in your Doc.
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Bounce rate — The percentage of visitors who only viewed a single page in your Doc
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A pie chart shows the percentage of new visitors vs. returning visitors.
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A pie chart shows the proportion of visits from desktop, tablet, and mobile devices.
Metrics on a page level
Below the Foleon Doc metrics, you’ll see the metrics on a page level.

For your pages, you’ll see:
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Page visits — The number of times people have visited a page. A person can visit a page multiple times.
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Unique visits — The number of Doc visits in which a given page was viewed at least once.
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Time on page — The average amount of time visitors spend on a page.
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Bounce rate — The percentage of visitors who entered your Doc on a given page but left without viewing any other pages.
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Exit rate — The percentage of visitors who leave your Foleon Doc from a given page.
Visualized page performance
In the page performance bar chart, you’ll see four important page metrics that help you analyze your Foleon Doc more accurately:
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Total page visits — The number of times people have visited that page. This metric shows you how people generally navigate your Doc.
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Entrances — The number of visits that enter your Doc on that page.
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Bounces — The number of visits that only viewed that single page and then left.
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Exits — The number of people that end their visit on that page. This metric shows you where people decide to leave the Doc. Combined with the entrances, this provides context for the bounce rate.
💡You can click on the label of each metric to hide it — or make it visible again.

Based on these metrics, you can analyze which pages might need more attention. Looking at how the metrics evolve throughout your Doc, you gain insights that could trigger you to:
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Research how people experience your content after seeing a high number of entrances and a high number of bounces
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Optimize your Doc structure if you see that an important page does not get a lot of visitors, but the surrounding pages do.
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Research why many visitors leave on a specific page when you do not expect them to.
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Find out how people find your Doc in Google Analytics if you see a high number of entrances on specific pages.
How we calculate the different metrics
If you have experience with Google Analytics, most of these metrics should be familiar to you. But for clarity, we'll explain how each is defined in our system.
💡 Not all analytics platforms work the same. There are differences between Foleon Analytics and Google Analytics. Learn more about it in this article.
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Visit — A visit starts the moment a user visits a Foleon Doc and does not already have an active visit. Visits expire after 29 minutes of inactivity. If a user continues interacting with a Foleon Doc after their visit has expired, a new visit will be created with the entrance page set to the current page.
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Visit count — The number of visits recorded for a given Foleon Doc or page.
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Visit time — The time between the first recorded event and the last recorded event in a visit.
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Bounce count — The number of visits of a given Foleon Doc or page that has only a single page visit.
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Bounce rate — Bounce count divided by visit count.
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Entry count — The number of visits that began on a given Foleon Doc or page.
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Entry rate — Entry count divided by visit count.
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Exit count — The number of visits that ended on a given Foleon Doc or page.
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Exit Rate — Exit count divided by visit count.
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Page visit count — The number of times a given page was visited.
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Unique visit count — The number of visits in which a given page was viewed at least once.
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Visitor count — The number of users that visited a given Foleon Doc or page with at least one visit.
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New visitor count — The number of users that visited a given Foleon Doc or page with a single visit.
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Returning visitor count — The number of users that visited a given Foleon Doc or page with more than one visit.
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New visitor rate — New visitor count divided by visitor count.
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Returning visitor rate — Returning visitor count divided by visitor count.
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Device count — The number of different devices used to view a given Foleon Doc or page.
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Device rate — Device count divided by visit count.
Unique visitors and unique visits
In some situations, the number of unique visitors to a Foleon Doc can be lower than the number of unique visits. It's important to know how these two metrics are measured, which explains how one can be bigger than the other.
Let’s take the screenshot below as an example. How can the number of unique visitors (177) be smaller than the number of unique visits for the "Welcome" page (264)?

Unique visits are the number of unique visitors that viewed a page in one visit. So in this case you can see that the cover page has been viewed in 264 from the 363 Doc visits. You can also look at this metric as in: “How many visits have seen this page?”
Related articles
- Connect Google Analytics to your Foleon Docs
- How to access Foleon Analytics
- Getting to know the most important Google Analytics metrics
- Using Google Analytics segments to analyze individual Foleon Docs
- Using Google Analytics reports and how to read them
- Getting further insights with Google Analytics events