Table of Contents
- Accessing the Native App Bounce and Exit Analysis Page
- How to Navigate the Bounce and Exit Analysis Page
The Bounce & Exit Analysis page helps quantify the impact page load time has on your customer’s experience .
Accessing Native App Bounce and Exit Analysis Page
The Native App Bounce and Exit Analysis page is found in the navigation menu on the left, under Native App Monitoring, then Bounce & Exit Analysis.
Walkthrough of the Native App Bounce and Exit Analysis Page
At the top, there is summary of the bounce and exit rate metrics, page views, conversion rate, page speed and more.
Notice both the Session Exit Rate and a Page View Exit rate. The Session exit rate is calculated by the number of visitor sessions that left your site. The Page View exit rate is calculated by the total number of page views and the total number of exists. Read over the tool tips for more information.
Graphs Over Time
The first section of graphs display bounce and exit rate percentages over time. Switch between graphs by selecting the tabs above the graph.
The first graph here shows the average bounce and exit rate over time for all pages. You can also see onload, revenue and orders on this graph for more context. To switch to a table view, click the button on the top left of the graph.
Graphs by Onload
The next section of graphs show a histogram of bounce and exit rate by onload. Switch between the different graphs by selecting from the tabs above.
This view gives you great insight into how performance is affecting your user’s experience. To switch to a table view, click the button on the top right of the graph.
7 Day Table
At the bottom of the page we have the 7 day Bounce Rate and Onload table. Toggle the view of this table with the purple button on the left. Export this data through the 'Export' button on the right.
This shows you the daily averages for bounce rate and onload for the past 7 days, and the average for the past 30 days at the far right. The daily numbers will appear in red if they are 15% worse than the 30 Day Average and green if they are 15% better than the daily average.
Lastly, use the filters to customize your analysis by clicking the quick filters at the top of the page, or by clicking the filter icon and using the filters menu.