Live Articles
Last updated
Last updated
The Live Articles section displays all articles with at least one active user. Below the graph, you’ll find a table showing key performance metrics for each live article, including:
Live Users – The number of users currently reading the article.
Average Scroll Depth – How far users are scrolling down the page.
Engaged Time – The average time users are actively interacting with the article.
Recirculation Rate – The percentage of users clicking through to another article after reading.
This table provides key insights into how users are interacting with live articles on your website. It consists of five main columns:
1. Page Title
Each article entry includes:
A: Category – The section or topic the article belongs to. (e.g., NHL, Tennis, WWE)
B: Author – The writer of the article. (e.g., Jackson Weber, Pritha Ghosh, Sidharth Sachdeva)
C: Published Date – The date the article was published. (e.g., Feb 21, 2025)
D: Title – The page title of the article.
2. Live Users
Displays the number of users currently reading the article in real time.
3. Scroll Depth
Represents how far users are scrolling down the page, on average. A higher percentage means users are reading more of the content.
4. Time Spent
Shows the average duration that live users stay engaged with the article.
5. Recirculation Rate
Indicates the percentage of users who navigate to another internal page from this article. A lower rate may suggest the need for better internal linking.
This table helps you quickly assess which articles are performing well and which may need adjustments to improve engagement and user retention.
This table provides an overview of which articles are performing well and which are losing traffic. Monitoring it can help you:
Identify high-performing content to amplify through social media, newsletters, or other platforms.
Spot underperforming articles that may need content updates or SEO improvements.
Discover older articles that are suddenly attracting traffic and leverage them further.
Detect potential issues—for example, an article with high pageviews but low recirculation may need better internal linking, while one with high pageviews but low engaged time and scroll depth may indicate a content or usability issue.
