Lookup()
Retrieves the value of a specific field from a column in a data extension.
Lookup(1, 2, 3, 4)
Ordinal | Type | Description |
---|---|---|
1 | string | Required. The name of the data extension. |
2 | string | Required. The name of the column that contains that value that you want to retrieve. |
3 | string or array | Required. The name of the column that contains the data to look up. To specify multiple column names, place the column names in an array. When you specify multiple column names, they’re connected using AND logic. |
4 | string or array | Required. The value to look up in the specified column. To specify multiple values, place the values in an array. If you specify an array for ordinal 3, you must specify an array of equal length for this ordinal. |
To use this function, specify the name of the data extension and the name of the column that contains the value that you want to retrieve. Next, specify the column name and value to find in the specified data extension.
These examples reference a data extension called CustomerData that contains the customer data listed in this table.
ExternalId | FirstName | LastName | Phone | |
---|---|---|---|---|
66057f8f-2003-4d08-8c87-b0a16a60d34e | Carolyn | Baumgartner | carolyn.baumgartner@example.com | +493023125123 |
be22021f-69ff-4b5c-99c3-bb42193343bc | Ernesto | Rondán | ernesto.rondan@example.com | +19155550101 |
e67e755d-d2b9-4a0e-8103-eee7958ef257 | Calvin | Green | calvin.green@example.com | +12065550042 |
97b40dbb-2eaa-4880-9636-1639f92318a8 | Anna | Kowalski | anna.kowalski@example.com | +33639981234 |
3b7e5138-75c6-4a2b-9155-598c6121d3ea | Tarō | Yamada | yamada.taro@example.com | +61491579760 |
f86b8f65-6167-4faa-8b0c-8019e389982a | Mindy | Lee | mindy.lee@example.com | +14165550123 |
This example retrieves the value of the Phone
column for the row in which the value of the ExternalId
column is 'e67e755d-d2b9-4a0e-8103-eee7958ef257'.
The function outputs the phone number for the specified customer: +12065550042
.
This example retrieves the value of the Phone
column for the row that contains "Carolyn" in the FirstName
column and "Baumgartner" in the LastName
column.
The function outputs the phone number for the specified customer: +493023125123
.