The number of sessions that were not engaged sessions.
Low engagement sessions is the inverse of engaged sessions.
Why it is important
This metric provides insights into user behavior, highlighting areas of the site that may need improvement to enhance user engagement.
By understanding low engagement patterns, businesses can make informed decisions to optimize user experience, content, or navigation, ultimately aiming to increase overall engagement and satisfaction.
Formula
Number of Low Engagement Sessions
Calculation example
Suppose a website had a total of 1,000 sessions. Out of these, 300 sessions had no user engagement (considered low engagement).
Low Engagement Sessions = 300
Affected metrics
Sessions
Affecting metrics
Bounce Rate Engagement Rate
Connecting metrics
n/a
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by Audience Segment by Device Type by Traffic Source by Session Duration by Landing Page by Search vs. Browsing Behavior by Promotional Period by Seasonal or Event-Based Trends
1. How does the number of Low Engagement Sessions correlate with changes in user engagement strategies, and what insights can be gained for optimizing content or features to reduce low engagement sessions? 2. Are there specific app features or updates that influence the occurrence of low engagement sessions, and how can these features be optimized for better user interaction and retention? 3. Can you identify any correlation between the timing and frequency of push notifications or in-app messages and changes in the number of Low Engagement Sessions? 4. How does the number of Low Engagement Sessions differ between users who have completed the activation process and those who haven't? 5. What impact do limited-time promotions or exclusive offers have on the occurrence of Low Engagement Sessions, and how can these promotions be optimized for reducing low engagement? 6. How does the geographic location of users influence the occurrence of Low Engagement Sessions, and are there opportunities for localized optimization? 7. What is the correlation between the number of Low Engagement Sessions and user satisfaction scores, and how can improvements in user satisfaction contribute to lower occurrences of low engagement?
Possible causes of worsening
n/a
Tactics to improve this metric
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