Pageviews lets us know how many users have looked at a particular page on the website. It provides total pageviews and unique pageviews.
Total pageviews includes users who visit the page more than once in the time period. Unique pageviews removes repeat visitors who may skew the figures and so provides a more accurate measure of page traffic.
We can measure the number of words included on a page and compare this with the amount of time users spent on the page. This gives us an idea of how much content a typical user would be able to read.
For example, a typical user can read around 200 words per minute. If your content is 10,000 words long and the average user is only spending around three minutes on your page, they are only likely to read around 600 words, or less than 10% of your content.
Average time on page
The average time on page provides an average time in minutes and seconds that users spent looking at the page. The average time a user spends on a page on the Office for National Statistics (ONS) website is around four minutes. A typical user would be able to read around 900 words in that time.
The bounce rate is the percentage of users who entered and left the website after viewing only that page. They did not interact with any other content or links on the site. Bounce rates should not be considered on their own, as a high or low bounce rate can be both positive and negative for different types of content and pages.
A high bounce rate is good for pages with a clear task, such as datasets, where the user comes to a page, completes the task (downloads the dataset) and leaves. If the bounce rate is low, it could suggest that the user landed on the wrong page or did not find what they were looking for.
A low bounce rate is good for pages that encourage further user journeys, such as product pages. A high bounce rate on these pages would indicate that users are not completing the journey to get to the content.
We can track the type of devices that are used to view the page. This includes: desktop, mobile and tablet.
Our mobile users have been consistently increasing in recent years. On average, around 28% of website users are now on mobile devices.
How users get to the page
We can use analytics data to track where users come to the page from. This includes:
- organic search: users who get to the page through search engines, such as Google and Yahoo!
- direct: users who get to the page through a direct URL
- referral: users who get to the page by following a link on an external website, such as The Guardian
- government sites: users who get to the page by following a link on other government sites, such as GOV.UK
- social: users who get to the page by following a link on social media, such as Twitter or Facebook
- GovDelivery: users who get to the page by following a link from a newsletter they received through GovDelivery (a web-based email subscription service)
- email: users who get to the page by following a link from an email
- other: any other way a user may get to the page or if the user’s cookies are turned off
Most clicked sections in the table of contents or drop-down menu
We can track what sections users are clicking on in the table of contents or selecting from the drop-down menu to help us understand the most popular sections on a page. These two actions are recorded using two separate tracking events; this is why some section headings appear in the most clicked section headings list twice.
Google search terms
Google Search Console provides us with a list of search terms that brought users to the web page.
A query is a word or phrase entered into the Google search engine by a user.
URL clicks is the number of users who clicked through to the page from the Google search results for that query.
Impressions is the number of users who saw a link to the page in the Google search results for that query.
If you would like to request any additional insights into your content, email email@example.com.