How are your Site Pages performing? Are visitors abandoning your site when they hit a certain Page? Is one Page constantly getting views, engaging users, and drawing visitors back to your site?
Liferay Analytics Cloud answers these questions.
- Its server registers and tracks pages for analysis the first time a Page interaction is detected by the Analytics Cloud client.
- It queries pages on a schedule for up-to-date data.
- It reports on pages with the metrics described in this article.
Continue reading for details on how to interpret Analytics Cloud data to better understand your pages’ performance.
Data Time Periods
All Pages data in Analytics Cloud appears for a specified time period. The time period selector recalculates the metrics based on the time period selected. You must specify a time period to view the metrics. The default is 30 days, but this is configurable. The following values are supported:
- Last 24 hours
Displays data generated over the last 24 hours.
Displays all data generated yesterday, beginning at 12:00 AM and ending at 11:59 PM.
- Last 7 days
Displays data generated for the previous 7 full days (the current day is excluded), in daily increments.
- Last 28 days
Displays data generated for the previous 28 full days (the current day is excluded), in weekly increments.
- Last 30 days (default)
Displays data generated for the previous 30 full days (the current day is excluded), in weekly increments.
- Last 90 days
Displays data generated over a thirteen week period beginning 90 days prior to the end of the current week. The time period always begins on a Sunday, and ends with the current, incomplete week (unless viewed on a Saturday approaching midnight).
Note that the first Sunday of the 90 day time period is not included.
The Overview tab of a Page’s metrics has several data presentations. The first chart, called Visitor Behavior, contains four important metrics:
- Average Engagement Score
- Total Visitors
- Total Views
- Bounce Rate
- Average Time on Page
Select the time period for the data displayed. There are always two trend lines displayed: Selected Period and Previous Period. This facilitates comparisons between time periods.
So what are these metrics in the Visitor Behavior chart?
Engagement, or average Page Engagement is an aggregation of metrics into one overall score. It incorporates these factors:
- Depth of scroll on the Page
- Number of clicks
- Time spent on the Page
Use the engagement score as a high level view of the Page’s overall performance, as compared with other Pages. It might not tell you specifically what’s so effective (or weak) about a Page, but it can tell you if the Page is performing as desired over the selected time period.
Page Engagement is useful to combine with time period filtering and comparative time period features. Comparing the engagement score from different periods is the best way to determine how your Page’s performance changes over time.
Metric: Page Visitors
Useful with the time period filter, Page Visitors is the number of visitors that accessed a Page in a given period of time.
A unique visitor has a unique IP address in Analytics cloud. Therefore, if the same human being hits the Page from a different device, it’s logged as two unique visitors to the Page.
Metric: Page Views
Useful with the time period filter, Page View is the number of views for a Page Page in a given period of time. It’s not the same as the number of visitors, because it doesn’t try to count only unique IP addresses. Over the last 30 days, one visitor (IP address) could come back to the Page 100 times. That means there are 100 Page Views, but only one visitor (assuming she used the same machine to access the Page each time. However, a unique view isn’t logged for a single user unless at least 30 minutes of inactivity on the Page passes before the user interacts with the Page again.
Metric: Page Bounce Rate
Bounce Rate is the percentage of visitors to the Page that navigated away from the site without any page interaction (including scrolling on the page) after the initial page load. It’s calculated as a daily rate (percentage per day), and the daily rate trend line is displayed over the selected time period.
Metric: Average Time on Page
Time on Page calculates the average time spent on a Page for all the Views each day. It’s displayed for the selected time period.
This metric is calculated like this for each 24 hour period:
(view-1-time + view-2-time + ...) / total-number-views
That concludes the Visitors Behavior chart, but see below for more Page data.
Views by Segment
Segments are created by the Analytics Cloud administrator in the People → Segments section. Segments are groups of Individuals with common characteristics.
The Views by Segment bar graph shows how many times the Page was viewed by up to the top seven Segments over the selected time period. If there are more than seven Segments, the top six are displayed, and views by the remaining Segments are aggregated in the seventh bar on the graph, labeled X More Segments).
Views by Location
View a bubble chart to compare the views by country over the selected period. Up to the top five countries are displayed, and the sixth bubble is an aggregation of the remaining countries.
Views by Technology
View a stacked bar graph of the Page’s views by operating system (grouped by device type) in the default tab. Hover over each bar to see the detailed breakdown of data.
Click Web Browser to see a donut chart displaying up to the top eight web browsers over the selected time period. If applicable, remaining web browsers are aggregated in the ninth donut segment.
View a list of the Assets on the Page by their number of Interactions over the selected time period.
Depending on the Asset being viewed, a different Interaction metric is reported:
- Blogs reports Views.
- Documents and Media reports Downloads.
- Forms reports Submissions.
- Web Content reports Views.
After all those fundamental metrics, you’re really getting to know your Pages. But there’s some interesting Page data you haven’t seen. Discover how people came to the Page in the first place. Learn about Path Analytics next.