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          Data Filter Definition for Marketing Cloud Engagement

          Data Filter Definition for Marketing Cloud Engagement

          You can create a data filter definition on the Subscribers tab in Email Studio. Choose whether to create a filter that segments a subscriber list or a data extension.

          If you choose to create a data filter to segment a subscriber list, use any combination of the following types of information. The chosen types determine whether the subscriber satisfies these conditions:

          • Profile attributes
          • Preference attributes, except the HTML email preference
          • Measures you create and predefined measures

          You don’t have to specify a subscriber list in the filter definition. You can associate the same data filter to multiple different lists using different filter activities or groups.

          If you choose to create a data filter to segment a data extension, you use the field columns in the data extension. Those field columns determine whether the record satisfies the conditions. Because different data extensions can have different field columns, specify the data extension to segment when you create the data filter.

          When you create a filter, you create conditions that the system evaluates against for each subscriber or data extension row. The conditions determine whether it qualifies for the segment. You can select one of these parameters for each condition:

          • The profile attribute, field column, or measure to evaluate
          • The operator to use to compare the values
          • The value to compare against
          Example
          Example You can create a condition where:
          • The profile attribute is AGE
          • The operator is IS GREATER THAN
          • The value is 17

          When you segment a subscriber list against this condition, only subscribers whose age is 18 or older satisfies the condition. It’s added to the segment. You can put multiple conditions together in a grouping using an AND or OR operator.

          You can also put multiple groupings together into an outer grouping that uses an AND or OR operator. When you use the OR operator, a subscriber or row that meets one or more of the conditions satisfies the grouping. When you use the AND operator, a subscriber or row must meet all the conditions to satisfy the grouping.

          The data filter creation interface provides graphical tools for creating the conditions and groupings. The SQL created using the graphical tools appears on the screen in the Filter Text section for your reference.

           
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