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What is a data filter marketing cloud?
A data filter is a group of criteria that segments a subscriber list or data extension. You can segment a subscriber list or data extension using data filters and use the segments during an automation.
How do you create a data filter in marketing cloud?
Create a Filtered Data Extension in Marketing Cloud
- Hover over Subscribers.
- Click Data Extensions.
- Click Create.
- Select Filtered Data Extension.
- Click OK.
- Select a standard data extension to filter as the source data extension.
- Click OK.
- Drag Fields, Filters, or Measure from the left column to the Create Filter canvas.
What is segmentation in marketing cloud?
Segmenting a Data Extension with Queries Queries let you request and retrieve data and place it in a single or in multiple data extensions. Marketing Cloud places the results in a data extension (or extensions).
How are data filters used in Marketing Cloud?
Data Filters are the basic building blocks used to create segments of your customers based on certain criteria. From an administrative standpoint, Data Filters are one of the easiest ways to divide subscribers into more meaningful groups to improve personalization.
How to create data filters in Salesforce Blue Cloud?
Hover over the Salesforce blue cloud to display the main Marketing Cloud navigation bar. Hover over Email Studio. Click Email. Hover over Subscribers. Select Data Filters. Click Create. Select Data Extension. Select the source data extension: MasterSubscriber. Click Ok. Drag and drop Birthday to the filter workspace.
How are Data Extensions segmented in Marketing Cloud?
Explain the two ways you can segment data extensions. Segment a data extension using a data filter. Marketing Cloud has a number of segmentation tools designed and optimized to help you send the right message to the right person and the right time. Let’s take a quick look at each of them.
When to use SQL queries in Marketing Cloud?
Use SQL Queries if you have multiple Data Extensions that contain the data you plan to use for segmentation.