Performance

Performance analytics allows you to track Author, Article, and Category performance. This information can help you determine which articles/category pages are performing well, need revisions, or are the most searched by users.

All performance analytics information can be filtered by

• Project version
• Language
• Date

The main cards show the number of article/category page Likes, Dislikes, Views, and Reads, and the graph table displays each statistic, including average user read time, for each day in your selected time frame.

Choose the desired version in the Project version dropdown if you have multiple project versions. Choose the desired language in the Languages dropdown if you have multiple languages in the selected version.

1. Choose the desired application. You can view the analytics of the Knowledge base or Knowledge base assistant
2. Choose the date range. You can choose from predefined intervals such as Last 7 days, Last 30 days, Last 90 days, or Last 180 days.
3. The date range of the performance analytics appears here. Click on the date range to select the custom date range.

For example, you want to view the performance analytics of the last 14 days. Click on the date range and select the desired date range. The performance analytics data for the desired date range appears

4. Compare the performance analytics of two date ranges.
   The following options are available in the compared to dropdown:

• Previous period: The current date range is compared with the exact previous date range

If the current date range is (20/01/2022-25/01/2022), then the previous date range is (14/01/2022-19/01/2022)

• Previous month: The current date range is compared with the particular period in the last 30 days

If the current date range is (20/01/2022-25/01/2022), then the previous date range is (22/12/2021-26/12/2021)

• Previous quarter: The current date range is compared with the particular period in the last 90 days

If the current date range is (20/01/2022-25/01/2022), then the previous date range is (23/10/2021-28/10/2021)

• Custom: Choose the desired date range you want to compare with the current date range
• No comparison: To hide the comparison and show only the current date range performance analytics

How to compare the performance analytics?

a. Choose the first date range with the date range option next to the Application dropdown
b. Select the dropdown next to the compared to and choose the second desired date range

For example, you want to compare the performance analytics of last month with the current month

Performance metrics

Total Likes

The collective number of upvotes 👍 by readers in each article/category page from the selected project version and language in the selected date range

Total Dislikes

The collective number of downvotes 👎 by readers in each article/category page from the selected project version and language in the selected date range

Total Views

The number of times the article/category page in the selected project version and language have been opened on a unique reader's browser. Views are quantified when a reader spends less time reading an individual article or page than the estimated time. The estimated time to read is mentioned on top of each article.

For example, 5 minutes to read. To enable the estimated time to read option:
Go to Settings → Knowledge base site → Article settings & SEO → Article settings → Article header → Toggle the Show read estimate to On

Total Reads

This is a bit more specific than total views. Reads are quantified when the reader spends more than or equal to the estimated time to read an individual article or page. The estimated time to read an article is mentioned on top of each article.

To enable the estimated time to read option:
Go to Settings → Knowledge base site → Article settings & SEO → Article settings → Article header → Toggle the Show read estimate to On

Drilldown information

If you scroll below, you can drill down into specific category statistics.

Leading Authors

The likes, dislikes, views, and reads each author receives on their articles in the above-selected date range. By clicking on each column heading, these columns can be sorted in descending order, and you can notice a downward arrow ↓ representing the active sorted column.

The author drill down appears in the Team accounts section when you click on the particular author.

Author drill down

You can click an author if you want more detailed information about their contributions. Each team account is associated with its own set of analytics, which includes:

• Most viewed articles - The most viewed articles/categories by the team account/reader

• Articles created - The articles/category pages created by the team account

• Auditing - The actions performed by the team account

All team account information can be filtered by Project version, Languages, and date range. The Articles created data can be exported in a CSV or PDF format. Click on the Export to Excel or Export to PDF button at the top of the tab.

Team accounts can also view their contribution analytics by clicking their profile avatar in the bottom left corner of the project dashboard navbar and selecting My Profile.

Leading Articles

The likes, dislikes, views, and reads an individual article receives in the selected time frame. These data can be sorted in descending by clicking on the column heading. The top 15 entries are listed on the page; you can click and navigate to the next page to view the rest. You can also find the Authors column, which gives context on each article's contributor(s).

Leading Categories

This is similar to the previous Leading articles, with the critical difference being the category page and category index types are listed. Here, you can view the same four data parameters (likes, dislikes, views, and reads).

Countries

This section contains the country name and the total views. This provides in-depth geography data when compared to the Geography section.

Export data

You can export the following performance analytics data as a CSV file

• Leading Authors
• Leading Articles
• Leading Categories
• Countries

1. Go to Analytics → Performance
2. Choose the desired version and language at the top
3. Select the desired tab (Leading Authors, Leading Articles, Leading Categories, or Countries) for which you want to export the data
4. If required, filter and/or compare the data with the available options

5. Click Export → Export CSV and wait for a few seconds
6. Click the Download icon next to the Export button
7. The exported CSV file is downloaded to your local storage