7.00.02 - Attribution (Single-Input Version) Arguments - Aster Analytics

Teradata Aster® Analytics Foundation User GuideUpdate 2

Product
Aster Analytics
Release Number
7.00.02
Published
September 2017
Content Type
Programming Reference
User Guide
Publication ID
B700-1022-700K
Language
English (United States)
Last Update
2018-04-17
EventColumn
Specifies the name of the input column that contains the clickstream events.
ConversionEvents
Specifies the conversion events. Each conversion_event is a string or integer.
ExcludeEvents
[Optional] Specifies the events to exclude from the attribution calculation. Each exclude_event is a string or integer. An exclude_event cannot be a conversion_event.
OptionalEvents
[Optional] Specifies the optional events. Each optional_event is a string or integer. An optional_event cannot be a conversion_event or exclude_event. The function attributes a conversion event to an optional event only if it cannot attribute it to a regular event.
TimestampColumn
Specifies the name of the input column that contains the timestamps of the clickstream events.
WindowSize
Specifies how to determine the maximum window size for the attribution calculation:
  • rows: K

    Consider the maximum number of events to be attributed, excluding events of types specified in excluding_event_table, which means assigning attributions to at most K effective events before the current impact event.

  • seconds: K

    Consider the maximum time difference between the current impact event and the earliest effective event to be attributed.

  • rows: K &seconds: K2

    Consider both constraints and comply with the stricter one.

Model1
Defines the type and specification of the first model. For example:
Model1 ('EVENT_REGULAR', 'email:0.19:LAST_CLICK:NA', 'impression:0.81:WEIGHTED:0.4,0.3,0.2,0.1')
For more information, see the following tables in the Input section of the function Attribution (Multiple-Input Version):
  • For model type and specification definitions, see the table: Attribution Model Types and Specification Definitions
  • For MODEL values and their corresponding PARAMETER values, see the table: Attribution Distribution Model Specification Models and Parameters
Model2
[Optional] Defines the type and distributions of the second model. For example:
Model2 ('EVENT_OPTIONAL', 'OrganicSearch:0.5:UNIFORM:NA', 'Direct:0.3:UNIFORM:NA', 'Referral:0.2:UNIFORM:NA')
For more information, see the following tables in the Input section of the function Attribution (Multiple-Input Version):
  • For model type and specification definitions, see the table: Attribution Model Types and Specification Definitions
  • For MODEL values and their corresponding PARAMETER values, see the table: Attribution Distribution Model Specification Models and Parameters
  • For allowed Model1/Model2 combinations, see the table: Attribution Allowed Model1/Model2 Combinations