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Inter-Visit Time Distribution
from Activation
Metrics type
Units of measure
Less - better
Check frequency
The cost incurred for acquiring each user.
Why it is important
Helps understand the typical gap between visits and tailor marketing strategies accordingly.
Total time between last visit and next interaction for all users /
Number of users
Calculation example
Let's say you have three users with the following inter-visit times:

User 1: 2 days
User 2: 4 days
User 3: 1 day

Total time between visits = 2 days + 4 days + 1 day = 7 days
Number of users = 3

Inter-Visit Time Distribution = Total time between visits / Number of users
Inter-Visit Time Distribution = 7 days / 3 users = 2.33 days (rounded to two decimal places)
Affected metrics
Affecting metrics
Connecting metrics
Returning Users

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Suggested slices for dashboards
by Audience Segment
by Device Type
by Geo
by Traffic Source
by User Engagement Levels
by Seasonal or Event-Based Trends
by Product Category
by Campaign Type
by App Version
The revenue impact pathway
Available in JetMetrics Lite only
Questions to be Answered
1. How does the Inter-Visit Time Distribution vary between different user segments or demographics, and what insights can be gained for tailoring content or features to specific user behaviors?
2. Are there specific app features or notifications that influence the average time between a user's last visit and their next interaction, and how can these features be optimized for better engagement?
3. Can you identify any correlation between the timing and content of push notifications or in-app messages and changes in the Inter-Visit Time Distribution?
4. How does the Inter-Visit Time Distribution 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 Inter-Visit Time Distribution, and how can these promotions be optimized for sustained user engagement between visits?
6. How does the Inter-Visit Time Distribution 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 Inter-Visit Time Distribution, and how can personalized content recommendations be optimized for better user engagement over time?
Possible causes of worsening
Tactics to improve this metric
Explore in JetMetrics Lite or Ask professionals in the Community
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