Product

Customer Segmentation

Aggregates customer behavior across multiple sources, then runs a model to determine which customers are most similar to each other. Pulls in marketing response data, product interaction data and survey responses, then runs a K-means clustering operation on the result. Outputs a set of customer segments and the customers belonging to each, with the behavior of those customers included. In this model we don't provide a qualitative analysis on why customers are segmented like they are, we just run the clustering operation.

Supported Data Sources
About Cascade

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