Would you like to be able to find the number of orders each customer has made in a certain period of time? Or calculate the average order value for each customer? Or maybe you want to count the number of emails sent to each subscriber in the last 30 days? All that and more is possible with the aggregation functionality in Salesforce Marketing Cloud.
In this article, we will explain how to use aggregations in Salesforce Marketing Cloud (SFMC) using SQL and DESelect.
SQL is great at aggregating data the way you might in a pivot table in Excel. The functions are similar to what you’ll find in Excel or certain analytical tools. For instance, The GROUP BY statement groups rows that have the same values as summary rows, like “find the number of customers in each country”.
The GROUP BY statement is often used with aggregate functions (COUNT(), MAX(), MIN(), SUM(), AVG()), to group the result-set by one or more columns. Here you can find a brief explanation of what each function means:
In this article, we’re going to dig deeper into the COUNT aggregation that allows you to do a count on a data extension or data view and store the results in your target data extension.
In the scenario we’re going to demonstrate, we’d like to know the number of times each subscriber has opened an email in the last 30 days. On top of that, we’d also like to limit the result to the first 20% of subscribers.
Here’s how the SQL query for the following scenario will look.
(SQL query using Aggregations)
In our example, we’re using the Customers data extension along with the data view _Open. Normally, an aggregation is only a part of the segmentation a marketer has to perform. However, for non-technical marketers it can sound like a challenge. Fortunately, there are alternatives to writing SQL in SFMC if you want to use aggregations… like DESelect!
In the video below you can find a step-by-step guide to using aggregations in DESelect.
For convenience, DESelect offers different screens depending on the level of the marketer’s maturity. For instance, if you don’t know how your data model is set up exactly, you can use the ‘Basic’ screen, where the relations between your data extensions are already pre-defined. In the video, for example we’re using this screen to create an aggregation. However, if you are more confident with your data model, you can use the advanced screen. You can read more about how to create a segment using the advanced aggregation screen here.
If you’d like to book a live demo to see how DESelect avoids the need for code in your advanced segmentation, one of our experts would love to help you.
In this article, we explained how to use aggregations in Salesforce Marketing Cloud using SQL and the no-code alternative, DESelect. If you want to see DESelect live and leverage aggregations with an easy drag-and-drop, book a demo with one of our experts.
Salesforce Marketing Cloud best practices
and DESelect updates