Time-parting dimensions in Analysis Workspace
Time parting takes the timestamp of collected events and breaks it into more meaningful dimensions, such as Hour of Day or Day of Week.
Time-parting dimensions are based on the time zone of the data view. These dimensions are available in Analysis Workspace and can help to answer the following questions:
- Across a large date range, what is the most popular time of day for persons to access my site or app?
- Are there days of the week, or hours of the day, on which conversion is higher on my site or app?
- How do my weekend sales compare to my weekday sales?
- Does a certain marketing campaign generate higher conversions in the morning, or in the afternoon?
Dimension
Example values
Hour of Day
0-23
AM/PM
AM, PM
Day of Week
Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday
Weekday/Weekend
Weekday, Weekend
Day of Month
1-31
Month of Year
January-December
Day of Year
1-366
Quarter of Year
Q1, Q2, Q3, Q4
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