1.0 - 8.00 - Attribution Example (Multiple Inputs) - Teradata Vantage

Teradata® Vantage Machine Learning Engine Analytic Function Reference

Product
Teradata Vantage
Release Number
1.0
8.00
Release Date
May 2019
Content Type
Programming Reference
Publication ID
B700-4003-098K
Language
English (United States)

This example uses models to assign attribution weights to these events and channels:

Event Type Channels
conversion SocialNetwork, PaidSearch
excluding Email
optional Direct, Referral, OrganicSearch

Input

attribution_sample_table1
user_id event time_stamp
1 impression 2001-09-27 23:00:01
1 impression 2001-09-27 23:00:05
1 Email 2001-09-27 23:00:15
2 impression 2001-09-27 23:00:31
2 impression 2001-09-27 23:00:51
attribution_sample_table2
user_id event time_stamp
1 impression 2001-09-27 23:00:19
1 SocialNetwork 2001-09-27 23:00:20
1 Direct 2001-09-27 23:00:21
1 Referral 2001-09-27 23:00:22
1 PaidSearch 2001-09-27 23:00:23
2 impression 2001-09-27 23:00:29
2 impression 2001-09-27 23:00:31
2 impression 2001-09-27 23:00:33
2 impression 2001-09-27 23:00:36
2 impression 2001-09-27 23:00:38
conversion_event_table
conversion_events
PaidSearch
SocialNetwork
excluding_event_table
excluding_events
Email
optional_event_table
optional_events
Direct
OrganicSearch
Referral

The following two model tables apply the distribution models by rows and by seconds, respectively.

model1_table
id model
0 SEGMENT_ROWS
1 3:0.5:EXPONENTIAL:0.5,SECOND
2 4:0.3:WEIGHTED:0.4,0.3,0.2,0.1
3 3:0.2:FIRST_CLICK:NA
model2_table
id model
0 SEGMENT_SECONDS
1 6:0.5:UNIFORM:NA
2 8:0.3:LAST_CLICK:NA
3 6:0.2:FIRST_CLICK:NA

SQL Call

SELECT * FROM Attribution@coprocessor (
  ON attribution_sample_table1 AS input1
    PARTITION BY user_id ORDER BY time_stamp
  ON attribution_sample_table2 AS input2
    PARTITION BY user_id ORDER BY time_stamp
  ON conversion_event_table AS conversion DIMENSION
  ON excluding_event_table AS excluding DIMENSION
  ON optional_event_table AS optional DIMENSION
  ON model1_table AS model1 DIMENSION
  ON model2_table AS model2 DIMENSION
  USING
  EventColumn ('event')
  TimestampColumn ('time_stamp')
  WindowSize ('rows:10&seconds:20')
) AS dt;

Output

user_id event time_stamp attribution time_to_conversion
1 impression 2001-09-27 23:00:01 0.285714 -19
1 impression 2001-09-27 23:00:05 0  
1 impression 2001-09-27 23:00:19 0.714286 -1
1 SocialNetwork 2001-09-27 23:00:20    
1 Direct 2001-09-27 23:00:21 0.5 -2
1 Referral 2001-09-27 23:00:22 0.5 -1
1 PaidSearch 2001-09-27 23:00:23