Average number of items viewed by users during a single session.
Why it is important
Monitoring "Items Viewed per Session" is vital for e-commerce stores as it directly reflects user interaction with product catalogs in a single session.
A higher average suggests a deeper engagement with offerings, aiding businesses in optimizing website layouts, refining personalized recommendations, and tailoring marketing strategies to improve user satisfaction and potentially drive higher conversion rates within each session.
(Items Viewed / Number of Sessions)
Suppose E-commerce Store Q had the following data during a specific period: Users engaged in a total of 1,000 sessions on the e-commerce platform. Across all sessions, users viewed a total of 5,000 items.
Items Viewed per Session = Items Viewed / Number of Sessions Items Viewed per Session = 5,000 / 1,000 Items Viewed per Session = 5
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by Audience Segment by Device Type by Traffic Source by Session Duration Categories by Landing Page by Search vs. Browsing Behavior by Promotional Period by Seasonal or Event-Based Trends by Customer Journey Stage
1. How does the average number of Items Viewed per Session vary between different types of user sessions, and what insights can be gained for tailoring features to specific session types? 2. Are there specific features or content types that consistently lead to a higher average number of Items Viewed per Session, and how can these be emphasized for better user interaction? 3. Can you identify any correlation between the timing and frequency of push notifications or in-app messages and changes in the Items Viewed per Session metric? 4. How does the Items Viewed per Session metric 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 Items Viewed per Session metric, and how can these promotions be optimized for increased item viewing during sessions? 6. How does the Items Viewed per Session metric vary between different app versions, and what insights can be gained for optimizing marketing efforts for specific versions? 7. What role does personalization play in influencing the Items Viewed per Session metric, and how can personalized content recommendations be optimized for better user interaction during sessions?
Possible causes of worsening
Limited User Engagement Users who are not actively engaged with the app may view fewer items during each session, reducing overall item views.
Unappealing or Uninteresting Content If users find the content unappealing or irrelevant, they may be less motivated to explore and view multiple product pages.