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AB Treatments Tool

The AB Treatments tool assists the user in determining which group is the best fit for AB testing. This is appropriate in cases where the test will be carried out on a set of test units from the same group, based on user specified selection measures (between 2 and 5 measures can be selected). For a number of common test situations (particularly those that make use of broadcast media such as radio or television), a "group", such as a designated market area (DMA), needs to be selected to implement the test, with the units (e.g., stores, customers) in the group being the treatment units in the test. The tool returns a report with a rank ordered list of groups based on how well the average unit in the group meets the selected criteria based on a Euclidean distance measure.

This tool uses the R programming language. Go to Options > Download Predictive Tools to install R and the packages used by the R Tool.

Input

An Alteryx data stream with a unit identifier, a group identifier, and two or more measures to compare different groups to the overall average for those measures.

Configuration Properties

Data Input

  1. Choose Object ID (String) Field: The field with the unit identifier (e.g., store, customer). This field must be some sort of character based type such as String or V-String.

  2. Choose Group ID (String) Field: The field with the group identifier (e.g., geographic region, segment). This field must be some sort of character based type such as String or V-String.

  3. Choose Variable 1 Field: The first numeric field used to compare the average unit in a group to the overall average of all units.

  4. Choose Variable 2 Field: The second numeric field used to compare the average unit in a group to the overall average of all units.

  5. Choose Variable 3 (Optional) Field: The third numeric field used to compare the average unit in a group to the overall average of all units. Specifying this field is optional.

  6. Choose Variable 4 (Optional) Field: The fourth numeric field used to compare the average unit in a group to the overall average of all units. Specifying this field is optional.

  7. Choose Variable 5 (Optional) Field: The fifth numeric field used to compare the average unit in a group to the overall average of all units. Specifying this field is optional.

Configuration

Minimum number of treatment units for a group: The minimum number of units that need to be in a group in order to have that group considered (a filter). A rule of thumb is to have ten or more units receive the same treatment in order to provide a reasonable level of power for a test.

Outputs