Marketing Cloud Data Extension

Marketing Cloud Data Extension – Information about contacts is stored in data extensions. A data extension is simply a table containing data fields about your contacts. Data extensions can be standalone or related to other data extensions. You can use the data to run queries, retrieve information, and send it to a subset of subscribers. You can import data extensions manually or automate the import through Automation Studio or the Marketing Cloud Engagement API. Data extensions are available in Contact Builder and Email Studio, but data extension permissions, sharing, and other features are available in Email Studio.

Data extensions can be shared with other business units by storing them in a shared data extensions folder. You can configure data retention policy settings, choose who can see what tasks are available, set sharing periods, and determine which business units can access shared data extensions.

Marketing Cloud Data Extension

Segmentation allows you to create specific criteria or rules and apply those rules to augment your data. Segmentation allows you to capture a large audience and then send targeted, relevant messages to segments of that audience, sending the right message to the right subscribers at the right time. When partitioning data, random as well as filtered segments can be created.

Marketing Cloud Data Relationships Feature: Connect Data Extensions

You can create a random data extension or add a split function to split subscribers across selected data extensions and place subscribers into a random data extension in Email Studio. You can create up to 12 groups at a time and apply filters to divide your data into data extensions or data extensions. Filters are often used to update existing data extensions and create new data extensions.

When you create a property group, you can give it a name and associate data with it in Data Designer. Each attribute group contains a data model that contains data extensions associated with contact records or other data extensions. You can simultaneously create attribute groups containing all relevant data extensions to ensure that all the data you need is in the right groups. After creating a new property group, you can create a data model by doing the following:

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