ÃÛ¶¹ÊÓƵ Journey Optimizer functions overview
Welcome to a quick dive into some of the powerful functions available in ÃÛ¶¹ÊÓƵ Journey Optimizer (AJO) for building effective and dynamic customer journeys. Below, you’ll find an introduction to key functions along with example use cases.
Learning path
Aggregation functions
Perform complex calculations over data sets, like summing values or finding averages.
Conversion functions
Transform data types for seamless integration and manipulation.
Date functions
Handle date and time data for scheduling and time-based operations.
In-Audience functions
Identify customers in specific audience segments for personalized targeting.
List functions
Manipulate and analyze list data structures like arrays.
Math functions
Perform mathematical operations for data analysis and decision-making.
String functions
Manage and transform text data with tools like concatenation and search.
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