You can use a Router transformation to complete the following tasks:
Group data by different country attributes and route each group to different target tables based on conditions that test for the region.
Group inventory items by different price categories and route each group to different target tables based on conditions that test for low, medium, and high prices.
Example 1: Route data to different targets by region.
Your source includes data for customers in different regions. You want to configure a marketing campaign with variants for customers in the North America region, the Europe, Middle East, and Africa region, and the Asia Pacific region. All other customers see the default ad campaign. Use a Router transformation to route the data to four different Target transformations.
The following figure shows a mapping with a Router transformation that filters data based on these conditions:
Create three output groups and specify the group filter conditions on the
tab as shown in the following table:
region = ‘NA’
region = ‘EMEA’
region = ‘APAC’
The default group includes data for all customers that are not in the NA, EMEA, or APAC region.
Example 2: Route some rows to multiple output groups.
The Router transformation passes data through all output groups that meet the filter condition. In the following example, the conditions test for a price threshold, but the filter conditions for the two output groups overlap:
item_price > 100
item_price > 500
When the Router transformation processes an input row with item_price=510, it routes the row to both output groups.
If you want to pass the data through a single output group, define the filter conditions so that they do not overlap. For example, you might change the filter condition for PriceGroup1 to item_price <= 500.