Author reports
These reports provide general statistics on authors and help you compare them.
To view the reports, go to Content → Authors. To go to a report on a specific author, click their name. You can also filter content by length (for example, if you only need to view content of a specific format, like news or long articles).
To ensure that statistics are collected and displayed correctly, make sure that the site's content is marked up in accordance with the recommendations (Schema.org or Open Graph).
What reports can be used for
Assess editors' work
- Analyze the pageviews and audience engagement statistics by editorial staff: are key efficiency indicators achieved for individual authors and the editorial staff as a whole.
Learn whose articles are most enjoyed by readers
- You can use audience engagement statistics to highlight authors who publish the most interesting content or identify whose content users leave before reaching the end. This helps you understand whose work should get more attention.
Identify authors' strengths and weaknesses, and growth points
- Assess which topics an author handles best. You can use audience engagement statistics as well as full scroll and full read funnels to see what gets read and what doesn’t. This helps you know if you should rework how content is presented and its structure.
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A pageview is the loading of content at the moment a user clicks through to it. During a session, the user usually views content several times. In the tables, the pageview dynamics are displayed on a special graph.
Full scroll and full read data is displayed as a funnel. It shows what percentage of users scrolled through the content or read one third, two thirds, all of the text, or went beyond it. The relevant funnel blocks show you where the user stopped scrolling through the content.
The number of full scrolls is usually greater than the number of full reads. This is because users often scroll through content to the end, but do so faster than the 60 characters per second speed that is necessary for it to count as a full read. For example, a user first scrolled to the end, and then read it at a speed of no more than 60 characters per second. In this case, the full scroll will be counted first, and then the full read. But if the user scrolled through the content to the end, but did not read it at a speed of 60 characters per second or slower, only the scroll will be counted.
Also, the percentage of full scrolls may be less than the percentage of full reads. This is due to a different counting algorithm. The percentage of full scrolls shows what percentage of total users scrolled to the end of the content. For example, two users viewed the content. The first one scrolled through the material and fully read it, but the second one did not. In this case, one full scroll and one full read is counted. The percentage of full scrolls will be equal to 50%, since one user full scrolled, and the other did not.
Also, the percentage of full scrolls is often less than the percentage of full reads. This is because the percentage of full reads, in contrast to the percentage of full scrolls, shows the proportion of full scrollers who did a full read. For example, the percentage of full reads in the example above is 100%, since the user who fully scrolled through the material then fully read it.