Time-parting dimensions in Analysis Workspace

Last update: 2024-01-03
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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
Day of Week Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday
Weekend/Weekday Weekend, Weekday
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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