Hi All,
We have recently enabled content insight on our AEM system using the Adobe Analytics (site-catalyst) configuration.
The data that is coming up on the content insight dashboard is from the Adobe Analytics. On the content insight dashboard, we see a section for Bounces data.
Could you please help me understand what sort of data this Bounces section has?
Solved! Go to Solution.
Views
Replies
Total Likes
In Adobe Analytics, "bounces data" typically refers to information related to bounce rate, which is a metric that measures the percentage of single-page visits to your website or app. A bounce occurs when a user lands on a single page of your site or app and then leaves without taking any further action or interacting with other pages or events.
Here are some key points to understand about bounces data in Adobe Analytics:
1. Bounce Rate: Bounce rate is calculated as the number of single-page visits divided by the total number of visits to your website or app, expressed as a percentage. A high bounce rate may indicate that users are not finding what they are looking for or that your content or user experience needs improvement.
2. Tracking Bounces: Adobe Analytics tracks bounces by default using the s.t() and s.tl() image requests. When a visitor lands on a page and no additional tracking requests are made, Adobe Analytics records a single-page visit as a bounce.
3. Customizing Bounce Definition: In some cases, you may want to customize what counts as a bounce based on specific user interactions. For example, you might consider an interaction with a video player or a certain time threshold as an engagement event and exclude those from bounce calculations. You can use custom events or eVars to achieve this.
4. Segmenting Bounces: In Adobe Analytics, you can create segments to analyze bounce data based on various dimensions, such as traffic sources, devices, locations, and more. This helps you identify patterns and understand why certain pages or sections of your website may have higher or lower bounce rates.
5. Bounce Rate Optimization: Analyzing bounce rate data can help you optimize your website or app for better user engagement. By identifying high bounce rate pages, you can improve the content, user experience, or call-to-action to encourage visitors to explore more.
Overall, understanding bounce data in Adobe Analytics allows you to gain insights into user behavior, make data-driven decisions to improve user engagement, and enhance the overall performance of your website or app.
In Adobe Analytics, "bounces data" typically refers to information related to bounce rate, which is a metric that measures the percentage of single-page visits to your website or app. A bounce occurs when a user lands on a single page of your site or app and then leaves without taking any further action or interacting with other pages or events.
Here are some key points to understand about bounces data in Adobe Analytics:
1. Bounce Rate: Bounce rate is calculated as the number of single-page visits divided by the total number of visits to your website or app, expressed as a percentage. A high bounce rate may indicate that users are not finding what they are looking for or that your content or user experience needs improvement.
2. Tracking Bounces: Adobe Analytics tracks bounces by default using the s.t() and s.tl() image requests. When a visitor lands on a page and no additional tracking requests are made, Adobe Analytics records a single-page visit as a bounce.
3. Customizing Bounce Definition: In some cases, you may want to customize what counts as a bounce based on specific user interactions. For example, you might consider an interaction with a video player or a certain time threshold as an engagement event and exclude those from bounce calculations. You can use custom events or eVars to achieve this.
4. Segmenting Bounces: In Adobe Analytics, you can create segments to analyze bounce data based on various dimensions, such as traffic sources, devices, locations, and more. This helps you identify patterns and understand why certain pages or sections of your website may have higher or lower bounce rates.
5. Bounce Rate Optimization: Analyzing bounce rate data can help you optimize your website or app for better user engagement. By identifying high bounce rate pages, you can improve the content, user experience, or call-to-action to encourage visitors to explore more.
Overall, understanding bounce data in Adobe Analytics allows you to gain insights into user behavior, make data-driven decisions to improve user engagement, and enhance the overall performance of your website or app.
Hi @H_Malhotra
This looks more like an adobe analytics query. Can you please post it here to get more info: https://experienceleaguecommunities.adobe.com/t5/adobe-analytics/ct-p/adobe-analytics-community
Thanks,
Kiran Vedantam.