Learn how Quintype Analytics can help assess page views, scrolls, users actions, and so on at the website, and view reports and insights based on the data.

Understanding Story Analytics

Story Analytics provides the top stories, section, authors over a specified period of time. The trends are represented by line graphs.

You can view the top stories, sections, or authors by the following categories:

  • Views: The count of views of a story
  • Unique Visits: The number of unduplicated visitors over a specified time
  • Shares: The number of shares on social media
  • Engagement Time: The time spent on a story

You can filter the top stories, sections and authors based on the following criteria: sections, tags, authors, and story types.

The line graph shows the top stories, sections and authors across time, which can be either one hour, four hours, 12 hours, day, week, month, year, or custom date-range. The chart is calculated between two days: the current day and a day before, or for a custom date-range. The time-range is selected for the current date and time, and the same time-range for the previous day. For example, if you select four hours, the time-range is from four hours prior to the current date and time to the current date and time, and the same time-range for the previous day. The chart displays the two date-range in two colors.

Besides the graph, on the right, the total count of stories, sections, or authors is displayed.

The bottom of the page displays the story names, section names, or the author. Each value also displays the rise or fall from the previous time date and time range. The change is also depicted in percentage.

If you have searched by section or author, clicking on any top section or author displays its details. The detailed view displays the same values as mentioned above, but for that selected section or author.