The Articles Tab in Helpjuice Analytics gives you detailed insights into how each article in your knowledge base is performing. You can see which content users find helpful, which may need improvement, and how your Helpjuice articles contribute to user engagement.

In this article, you’ll learn:

• What metrics the Articles Tab displays
• How to access and interpret those metrics
• Best practices for using article performance data to improve your content

What the Articles Tab Shows

The Articles tab in the Analytics section provides a detailed breakdown of all your articles, including key metrics such as views, readings, likes, dislikes, and areas where answers may need improvement. It helps you monitor the performance of your content and track user engagement for individual articles.

Why are the Articles Analytics Important?

This section is crucial for understanding how users interact with your content. It provides insights into which articles are performing well and where improvements may be needed. By analyzing this data, you can optimize your articles for better user engagement, identify popular topics, and address areas with negative feedback.

How to Access the Articles Tab

To view the Articles Tab and its data:

1. Log into your Helpjuice account.
2. Click Analytics in the sidebar.
3. Select the Articles tab within Analytics.
4. Use filters (date, category, etc.) to narrow down to specific segments or time periods.

Once you have the data, you can compare articles, identify high and low performers, and decide which articles to update, merge, or archive.

Data Dictionary

Additional Sections in the Articles Tab

This tab also contains specialized sections to help you identify top-performing and underperforming articles:

• Most Read Articles: Displays the articles with the highest number of readings.
• Most Viewed Articles: Shows the articles with the most views.
• Most Liked Articles: Lists the articles that received the most likes.
• Articles Users Most Spent Time On: Highlights the articles where users spent the most time.
• Answers to Improve: Identifies articles that have received negative feedback or suggestions for improvement.

How Do I Export the Data?

You can export the analytics data for articles in .XLS or .CSV format for further analysis. This export includes key metrics, allowing you to review article performance outside of Helpjuice, using tools like Excel or Google Sheets.

To do so, simply scroll to the bottom of the page and click on Export XLS or Export CSV, and the file will be automatically downloaded to your computer.

Best Practices

• Review articles with many views but low engagement (low “reads” or lots of dislikes) to see what content could be improved.
• Compare time periods (e.g., month vs. last month) to see content trends over time.
• Use likes/dislikes and feedback in combination with view metrics to understand user sentiment.
• Prioritize updating content that’s outdated or underperforming rather than creating new content, when appropriate.
• Look for “Articles Needing Improvement” as signals of knowledge gaps or unclear content.