JOURNEY BUILDER AB TESTING
JOURNEY BUILDER AB TESTING
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Data filter
Filtered Data Extensions: - https://www.loom.com/share/d9b7ca63c2af4dd5b0137e557fcd306a Generated by applying filters to existing data extensions; they update dynamically based on predefined criteria. USE CASES 1. High-Value Customers Segmentation Scenario : A retail company wants to target customers who have spent more than $500 in the last six months. Solution : Use a filtered data extension to segment customers from a standard DE based on purchase amount and date criteria. Field Name Data Type Length Required Primary Key CustomerID Text 50 Yes Yes FullName Text 100 Yes No EmailAddress EmailAddress N/A Yes No PurchaseAmount Decimal N/A Yes No LastPurchaseDate Date N/A Yes No CustomerID FullName EmailAddress PurchaseAmount LastPurchaseDate CustomerID FullName EmailAddress PurchaseAmount LastPurchaseDate C001 John Doe john.doe@example.com 550.00 2024-12-15 C003 Alice Johnson alice.johnson@example.com 750.00 2024-11-20 Initially created a table for 4 records. After applying the filter...
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