Data views are system-generated tables (or “data extensions, DEs”) in Salesforce Marketing Cloud (SFMC). They contain different information about the subscribers and events such as email/SMS sends, email opens, or links clicked. You can also view behavioral information such as emails that are forwarded to friends. There are 23 different data views in SFMC that you can check out here.
In this article, We would like to show how you can segment data views using SQL in SFMC and to compare this process with segmenting on data views using DESelect. In both cases, we would like to query on contacts that are known Subscribers, using the data view “_Subscribers”.
For the purpose of this article, we are using the demo data available to partners and clients. Moreover, we have created several scenarios of use cases that you can try out using our demo data on our Zendesk.
First of all, you need to be sure that your access to data views has been enabled. Then, you have to create a target data extension (DE) where the information will be stored. In this case, you create a simple DE with 3 fields, namely, First Name, Last Name, Email Address.
Next, you need to go to Automation Studio to create an SQL Query Activity.
Then, you have to choose the data view “_Subscribers”, field “EmailAdress” and rename it if necessary.
DESelect is an addon for Salesforce Marketing Cloud (SFMC) that makes the lives of marketers easier. How? With DESelect you don’t have to bother learning how to use SQL to create a segmented campaign, which means that you save precious time getting your campaign up and running!
In order to query on “_Subcribers” using data views in DESelect you simply have to:
Note: DESelect supports all 23 data views, which can be easily recognized as their name starts with an underscore in the ‘Available Data Extensions’ section.
Data views enable you to do advanced segmentation in Salesforce Marketing Cloud (SFMC) using their current 23 variations. However, it also means that your knowledge of SQL has to be good enough to create queries that contain not only multiple data extensions (DEs), but also data views. Although SQL offers a lot of flexibility, chances are that you’d be spending a lot of time on this to get the perfect segment. Using DESelect, you don’t have to use any SQL at all, since all you have to do is drag-and-drop to build your ideal segment within minutes.
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