The Categories Tab in Helpjuice Analytics gives you insights into how each category of your knowledge base is performing. This helps you understand which areas of content are engaging users and which may need improvement.

In this article, you’ll learn:

• What each metric means (views, avg. time on page, found answer, bounced, feedback)
• How to interpret data with practical examples
• Tips and best practices for improving your categories

What is the Categories Tab

The Categories Analytics section provides an overview of how your Knowledge Base categories are performing. It tracks the number of views each category or subcategory receives within a specific timeframe, offering insights into how users interact with the content organized in those categories.

By giving you detailed data about each category’s usage, you can monitor which areas of your Knowledge Base are being accessed the most and adjust your content strategy accordingly.

Why are the Categories Analytics Important?

Category Analytics is essential because it helps you understand how effectively your Knowledge Base content is structured. Knowing which categories are frequently visited can highlight user interests or areas where more information is needed. This data can inform your decisions on content updates, reorganization, and overall improvement of the Knowledge Base's usability.

Additionally, by tracking accessibility types (Public or Internal), you can see how different audiences are engaging with your content, ensuring that the right information is accessible to the right people.

How to Access this Tab

To review how your Knowledge Base categories are being used, follow these steps:

1. Open your Dashboard.
2. Click on the Analytics icon.
3. Once on the Analytics page, navigate to the Categories tab.

How to Filter the Data

To narrow down your category analytics, you can filter the data by:

• Timeframe: Use the calendar to set a custom date range or select predefined options like Last 7 days, Last 30 days, or All time.
• Accessibility: Choose between filtering by Public Only, Internal Only, or Both Public & Internal categories.

Practical Example: How to Interpret Data

Let’s say you’re analyzing the category Getting Started.

• Views: 500
• Avg. Time on Page: 2m 30s
• Found Answer: 80%
• Bounced: 50

Interpretation:

• High views and decent time on page suggest strong interest.
• 80% "Found Answer" indicates most users are finding helpful content.
• 50 bounces may suggest some articles need clearer explanations.

How to Export the Data

You can export the results in .XLS or .CSV format for further analysis. This allows you to work with the data outside of Helpjuice, using tools like Excel or Google Sheets for deeper insights or reporting.

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.

Data Dictionary

When exporting the data, you'll find the following columns in the .XLS or .CSV file:

Best Practices

• Compare categories regularly to identify strengths and weaknesses.
• Prioritize categories with high bounce rates for content updates.