Choose your Template – This defines the layout and structure used by the edition
Select the Edition – Pick the catalog you want to review analytics for
Set the Date Range – Choose the time period you want to analyze (e.g., last 7 days, custom range, etc.)
Returning Visits Over time –This chart shows the daily trend of new vs. returning visitors to your edition over the selected time range.
New Visits (orange line) represent users accessing your edition for the first time, identified by a unique browser ID.
Returning Visits (blue line) represent users who have visited your edition before using the same browser.
A steady flow of returning visits is a strong indicator of audience loyalty and ongoing interest, while a high number of new visits reflects your ability to reach fresh users.
Pro Tip: Metrics may be affected by actions like clearing browser cache, using multiple devices or browsers, or shared access. These can impact how visits are tracked.
Page View Tab
It includes two main charts:
Visits Over Time – Tracks how visits fluctuate throughout the selected period
Visits Overview – Summarizes key metrics such as:
Total visits
Unique visitors
Average time spent
Bounce rate
Unique page views
Search keywords used within the edition
Links clicked by visitors
Whether files were downloaded
Pro Tip: Click on any section in Visits Overview to see that data reflected in the Visits Over Time chart for deeper insights.
A page view is counted every time a page or edition is opened in a browser—regardless of whether it's loaded from cache or freshly rendered.
If a user clicks the back button or refreshes the page, it still counts as a new page view
Page views are only tracked if the DCatalog tracking code is installed on the template
A visit is a session started when a user accesses your edition.
One visitor can generate multiple page views during a single visit
If the user closes their browser or remains inactive for a period of time (typically 30 minutes), the visit is considered over
A single person can have multiple visits over days or weeks
Each visitor is identified using a unique ID stored in their browser by the DCatalog tracking system.
If the system finds a matching ID, the user is marked as a Returning Visitor
If no ID is found, a new one is created, and the user is marked as a New Visitor
Keep in mind:
Factors like clearing browser cache, using multiple browsers or devices, or sharing a computer can affect how visitors are counted. These actions may result in a user being recorded as “new” even if they’ve visited before.
Bounce Rate measures the percentage of users who view only one page and then leave without taking further action.
A bounce typically means:
The visitor quickly found what they needed and exited
The content didn’t match their expectations or needs
Monitoring bounce rate helps you understand how engaging and relevant your catalog content is.
By clicking on Open Row Evolution, you can visualize how the metrics for each individual row evolve over time. This is especially useful for identifying trends or comparing performance across different devices, channels, or audience segments.
Keyword – The term the visitor typed in.
Searches – The total number of times that keyword was searched.
Search Results Pages – The number of results pages shown for that keyword.
% Search Exits – The percentage of searches where the visitor left immediately after seeing the search results (an indicator of possible irrelevant or unsatisfactory results).
This data helps identify what users are looking for, detect common typos, and spot potential gaps in your catalog’s content.
The Events Tab is a key part of your analytics—it tracks all user interactions within your digital edition, going far beyond basic page views. From zooming in on content to opening pop-ups or using the Table of Contents, this tab gives you a clear picture of how your audience is engaging with specific features.
It’s especially useful for identifying high-engagement actions, spotting trends in behavior, and uncovering opportunities to improve the overall user experience.
Each Event Category represents a specific action, such as:
Zooming in on a page or item
Toggling between single and double-page view
Clicking on the Table of Contents
Opening a video pop-up, image, or HTML element
Viewing the edition itself
For each tracked event, you’ll see:
Visits – How many visits included that specific event
Events – The total number of times the event occurred
Event Value – (If configured) A numeric value representing the impact or importance of that event
Average Value – The average value per event
Min / Max Value – The lowest and highest values recorded for the event
Each Tab (except “Geo”) gives you the option to export analytics. The export button across the tab will look like this . Once clicked you will have the following options:
1. Select the Export format
Once all parameters are set, click the “Export” button.