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Items Checked Out
from Checkout Process
Metrics type
Diagnostic
Units of measure
Quantitative
Direction
More - better
Check frequency
Monthly
Description
The average number of items in the begin_checkout event.
Why it is important
The average number of items in the begin_checkout event is important for understanding user preferences and behavior during the checkout process.
This metric guides efforts to optimize product presentation and cart design, ultimately leading to increased conversions.
This metric guides efforts to optimize product presentation and cart design, ultimately leading to increased conversions.
Formula
Sum of items checked out / Carts
Calculation example
If there are 200 items checked out and 80 carts, the average number of items checked out would be 200 / 80 = 2.5
Affected metrics
n/a
Affecting metrics
n/a
Connecting metrics
Checkouts
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Suggested slices for dashboards
by Cart Size Analysis
by Product Category
by User Behavior
by Device Comparison
by Time-Based Analysis
by Product Category
by User Behavior
by Device Comparison
by Time-Based Analysis
The revenue impact pathway
Available in JetMetrics Lite only
Questions to be Answered
1. How does the average number of items checked out vary across product categories?
2. Are there specific types of products that contribute to a higher average of items checked out?
3. What is the correlation between the number of items checked out and the overall order value?
4. How does the presentation of product recommendations impact the items checked out metric?
5. Are there differences in the average number of items checked out between new and returning customers?
6. How does the seasonality of shopping habits affect the items checked out metric?
7. What strategies can be employed to encourage users to check out more items?
2. Are there specific types of products that contribute to a higher average of items checked out?
3. What is the correlation between the number of items checked out and the overall order value?
4. How does the presentation of product recommendations impact the items checked out metric?
5. Are there differences in the average number of items checked out between new and returning customers?
6. How does the seasonality of shopping habits affect the items checked out metric?
7. What strategies can be employed to encourage users to check out more items?
Possible causes of worsening
n/a
Tactics to improve this metric
Explore in JetMetrics Lite or Ask professionals in the Community
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