> For the complete documentation index, see [llms.txt](https://govisibl.gitbook.io/help-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://govisibl.gitbook.io/help-docs/dashboard/articles.md).

# Articles

The **Articles** table displays all articles with at least one pageview.

This table provides key insights into how users are interacting with articles and other pages on your website. 

### Articles Table Breakdown

The table columns depend on which tab you are currently viewing.

For Realtime, the table columns are:

1. Page Title
2. Live Users
3. Scroll Depth
4. Time Spent
5. Recirculation

For Today, the table columns are:

1. Page Title
2. Uniques Today (Users)
3. PVs Today
4. Scroll Depth 
5. Time Spent
6. Recirculation

For 7 Days, the table columns are:

1. Page Title
2. Pageviews
3. Scroll Depth
4. Time Spent
5. Recirculation

Let's go through what each of the columns mean.

#### **Page Title**

<figure><img src="/files/nA4RW6bGvLeFhZfttkEA" alt=""><figcaption></figcaption></figure>

This column shows the title of the page along with other page attributes:

**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.

#### **Live Users**

Displays the number of users currently reading the article in real-time.

#### **Scroll Depth**

Represents how far users are scrolling down the page, on average for the given time period. A higher percentage means users are reading more of the content.

#### **Time Spent**

Shows the average duration that live users stay engaged with the article for the given time period.

#### **Recirculation Rate**

Indicates the percentage of users who navigate to another internal page from this article for the given time period. A lower rate may suggest the need for better internal linking.

#### Uniques Today (Users)

This column shown under the Today tab only shows the number of unique users that have visited the given page today so far.

#### PVs Today

This column shown under the Today tab only shows the total number of pageviews the given page has received today so far.

#### Pageviews

This column shown under the 7 Days tab shows the total number of pageviews received by the page in the last 7 days.

### How To Use This Data

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. F**or example, an article with **high pageviews but low recirculation** may need **better internal linking**, while one with **high pageviews but low time spent and scroll depth** may indicate a content or usability issue.

### Exporting Article Data

You can export article-level data from the Today and 7 Days tabs for external analysis or reporting.

**How to export:**

1. Go to either the **Today** or **7 Days** tab.
2. Apply any filters you'd like — such as Category, Page Type, Location, etc.
3. Click the **Export** button at the top of the table.
4. A CSV file will download automatically to your computer.

**The CSV file includes:**

* Article title and URL
* Page Views
* Average Scroll Depth
* Average Time Spent
* Recirculation Rate
* Page Views broken down by Traffic Source

This export contains data for all articles that received traffic within the selected time frame.