Look-alike Audience

A look-alike audience is people who look like your best customers. To create a look-alike audience, you start with an existing list or audience of high performing customers. Then you use Versium REACH to analyze it to find as many attributes about those customers as you can, then employ AI and machine learning to uncover new customers that share these attributes.  Now you can market to this new list of potential customers through the channels most likely to reach them.

An ETL Pipeline refers to the process in computing where data is extracted (E), transformed (T), and loaded (L) into an output data container.
A Data Mesh is a decentralized data architecture that groups data by a certain business domain (i.e., marketing, sales, customer service, etc.).
A Data Warehouse is a type of data management system that centralizes and consolidates large amounts of data from many different sources.

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