Calculated and Advanced calculated (derived) metrics
Calculated and advanced calculated (or derived) metrics are custom metrics that you can create from existing metrics.
Our Calculated Metrics tools offer a highly flexible way of building, managing and curating metrics. They allow you as marketers, product managers and analysts to ask questions of the data without having to change your Analytics implementation. The custom metrics available in each Analytics package are:
- Adobe Analytics Foundation: Calculated
- Adobe Analytics Select: Calculated + Advanced Calculated
- Adobe Analytics Prime: Calculated + Advanced Calculated
- Adobe Analytics Ultimate: Calculated + Advanced Calculated
Here is a comparison of calculated metrics and advanced calculated metrics capabilities:
Capabilities section_A0A5C275B68A4D628950BBB0B1EE631F
You can
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Create metrics across Analysis Workspace, Report Builder, Anomaly Detection, and Contribution Analysis.
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Create segmented metrics that are derived at report run time, without having to change the implementation. These can be viewed historically because they are based on segments.
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Share metrics across report suites. This means that all newly created metrics apply to all reports suites in the same login company.
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(Advanced calculated metrics only) Segment on metrics. For example, you can create a metric for “New visitors”, with a count of people for whom this is the first session.
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(Advanced calculated metrics only) Incorporate statistical functions to help you better describe your data. For example, you can count the number of items in a report or add in the number of standard deviations for each item.
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Limitations section_CB878B02451541D68A68B508D4DBD19A
Some Analytics features let you use events but not calculated metrics:
- Fallout in Analysis Workspace
- Cohort Analysis in Analysis Workspace
- Data Warehouse
- Segments
- Analytics for Target
Tools section_D65E9C067E9C45E1A50DD30F50561BB2
Here is a short overview of the Calculated metrics tools:
- Create calculated and advanced calculated metrics using advanced allocation models.
- Add segments inline to metric formulas
- Compare segments in the same report. For example, compare local visitors vs. international visitors.
- Use statistical functions
- Provide detailed metric descriptions (show what it does, where to use it, where NOT to use it)
- Copy definitions into new metrics
- Provide an inline metric preview
- Set metric polarity, which indicates whether it’s good or bad if a given custom event (metric) goes up
- Tag metrics
- Share metrics with others</li
- Approve and curate metrics
- Organize (tag) your metrics so people can find them
- Delete metrics
- Rename metrics