Module quiz
To pass this module quiz, you must answer at least 4 out of 5 questions correctly. It is not timed, and you can retake it as many times as needed.
What is a custom calculated metric in Adobe Analytics?
false
- A built-in formula created by Adobe that combines standard metrics
- A user-defined formula built in the calculated metric builder using any combination of metrics, operators, and functions
- A metric that requires admin approval before it can be used
- A metric that always uses a visitor container for its calculation
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What does the "participation" attribution model do when applied to a success event in a calculated metric?
false
- It gives full credit to the first touchpoint in a visitor's path
- It gives full credit to every dimension value that appeared during the visit in which a conversion occurred
- It divides conversion credit equally across all visits in the reporting window
- It assigns credit only to the dimension value active at the exact moment of conversion
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What does the "look back window" setting control in the advanced attribution panel of a calculated metric?
false
- How many decimal places are shown in the metric column
- The date range for which the metric is displayed in reports
- The time window Adobe Analytics looks back from a conversion to assign credit to prior dimension interactions
- How long a calculated metric definition is retained before it expires
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What is a "quick calculated metric" in Analysis Workspace?
false
- A calculated metric that supports advanced attribution models
- A metric created directly from a freeform table column by right-clicking, supporting basic operations like dividing two metrics
- A metric that requires a segment to be applied before it can be calculated
- A metric that is always displayed as a percentage
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How does the "linear" attribution model distribute conversion credit?
false
- Full credit goes to the first dimension value; all subsequent values receive none
- Credit goes only to the dimension value with the highest page view count
- Credit is distributed equally among all dimension values that were active during the look back window
- Credit is allocated based on how long each dimension value was active before the conversion
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