Data Extension Marketing Cloud

Data Extension Marketing Cloud – If the data is in separate data extensions in Salesforce Marketing Cloud, how can I find subscribers who haven’t made a purchase or customers who have placed an order? To do this, you need to have a basic understanding of how your data works

In this article, we will explain how to combine data from two data extents using the JOIN concept in Salesforce Marketing Cloud (SFMC). How can we combine data with SQL and .

Data Extension Marketing Cloud

Data Extension Marketing Cloud

There are four main ways to create relationships between data extents in SFMC using SQL. These are called JOINs.

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Before creating a JOIN between two data extents, you need to understand how you want to connect the data. You can choose to associate two Data Extensions (DEs) with the same field. In our example, in Customers DE, it could be a customer ID, which is a unique number that helps identify them.

You can also have a DE with Orders and use the Customer ID field in it. This way you can know which customer placed which order. However, in order to send messages to this customer, we must combine the information about the order with the personal information stored in their other data extension.

Now back to the four COMBINATIONS. Using INNER JOIN, we can find customers who have placed an order. The SQL query for this scenario would look like this.

Since there is a common customer ID field, this allows us to select only customers who have placed an order.

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For the purposes of this article, we will use Customer DE and Order DE as examples. Now we solve the FULL JOIN problem. Retrieves all matching records from both data extents, regardless of whether other data extents match. Therefore, if there are fields in Customers DE that do not correspond to DE Orders, or if there are fields in DE Orders that do not correspond to Customers DE, these fields will be displayed independently.

LEFT JOIN will bring you all DE customer records and then DE order related data. CORRECT JOIN will do the same, but now we have Order DE because we chose it second. Now to the rest of the versions…

Using our sample data extensions, LEFT JOIN users would like to find customers who have already ordered and who haven’t, for example by targeting a campaign to support their first purchase.

Data Extension Marketing Cloud

As an example of a CORRECT join, let’s look at the Customer and Subscriber data extension example. By using RIGHT JOIN, you will be able to identify and target subscribers who are not yet customers.

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Understanding data relationships isn’t the easiest part of marketing cloud targeting, but writing the code can be even more compelling. The place here.

This solution allows you to integrate data extensions by dragging and dropping them on top of each other. Our tool allows you to join DEs using the JOINS representation.

In this video, we’ll learn how to use Salesforce Marketing Cloud with SQL and .

We hope this article explains the basic combinations of any data extension in Salesforce Marketing Cloud. In most cases, there are more than two data extensions involved in this process. Imagine writing a SQL query for a relationship between 12 DEs? Yes, it looks like a lot of work.

Salesforce Marketing Cloud: Using Lists Vs Data Extension In Marketing Cloud

If you’d like to book a live demo to see advanced targeting without coding, one of our experts will be happy to help. Filtered data extensions are basically filters that we add to our existing data. extension will give us the desired records. This tutorial will show you how to create a filtered data extension for Salesforce Marketing Cloud (if you’re not familiar with data extensions and how to create them, watch this video tutorial).

This article is adapted from DSelect’s SFMC Data Tutorial #06. This series of how-to videos shows different techniques for managing data in Salesforce Marketing Cloud (SFMC) that will make your life easier.

We have about 8 contacts and we know their last name and know if they are active. Wouldn’t it be great if you could filter it? This is what we will do!

Data Extension Marketing Cloud

Side note: Filters are great if you want to filter data for a single data extent like this. However, if I wanted to check if these subscribers had made a recent purchase, I would need to compare that information with the purchase information; Filters won’t cut it, as this version would require a million more filters (as I said, filters are based on a single data extent). If you want to explore multiple data extents, we recommend that you do not use a cross-data extent filter, but instead use a SQL query. The diplomas are very flexible but require you to know how to write SQL! Alternatively, you can use a third-party app called Remove Selection.

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But as you may have guessed, I’m not going to create a standard data extension. We will create a filtered data extension.

After doing this we will go to this screen. Here I can define filter criteria. On the left I have the fields of this data extension. I’ll drag and drop the Active on the right side and we’ll just say “active is true”.

If you have old values ​​or want to filter your last name for some reason, you can do so. You can see that there are several options (in the image below), but we’ll keep it pretty simple for now.

Events refer to the interactions these clients make, not the data you store in your data extension.

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For example, you might ask, “Let’s see what marketing has done recently,” “Have these people unsubscribed or clicked in the last 30 days?” it can be said

Filtering these subscribers gives you a general trend, but if you want to go further, or if what you want to do isn’t covered here, you’ll want to:

Now that I’m happy with this filter, click Save and Create. This will allow us to create a new data extension, which I’ll call “active subscriber 2”.

Data Extension Marketing Cloud

If you click on “recordings”, you will see that the four contacts marked as active are saved here. Is perfect. Contact information is stored in the data extension. A data extension is a table with data fields about your contacts. Data extents can be independent or linked to other data extents. You can use this data to run queries, retrieve information, and send it to a subset of subscribers. You can import data extensions manually or automate the import using Automation Studio or the Marketing Cloud API. Data extensions are available in Contact Builder and Email Studio, but data extension permissions, sharing, and other features are available in Email Studio.

Import Subscriber Data Unit

You can share data extensions with other business units by saving them in the Shared Data Extensions folder. You can configure data retention policy settings, choose who can perform what actions, set sharing windows, and decide which business units have access to shared data extensions.

Segmentation allows you to create specific criteria or rules and apply them to data extents. Targeting allows you to capture a wider audience and then send targeted and relevant messages to that audience segment, ensuring you’re sending the right message to the right subscriber at the right time. When you segment your data, you can create random segments as well as filtered segments.

You can create random data extents or split subscribers from selected data extents and add a split function in Email Studio that places subscribers into random data extents. You can create up to 12 groups at once and use filters to segment data into data extents or data extents. Filters are often used to update existing data extents, as well as to create entirely new data extents.

When you create an attribute group, you give it a name and you can link data to it in the Data Designer. Each attribute group contains a data model consisting of data extents linked to contact records or other data extents. To ensure that all required data is in the correct group, you can simultaneously create attribute groups that include all relevant data extensions. After creating a new attribute group, you can build your data model as follows: In this article, we’ll explain how to work with Salesforce Marketing Cloud Data Extensions. You will know what data is

How To Use Date Filters In Marketing Cloud

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