ALteryx Use Cases

Forecasting Sales based on Historical Spend and Customer Location

This workflow works with multiple data sources and combines data preparation, blending and predictive analytics. Logistic Regression is used in the workflow to determine the likelihood that customers will respond to a new promotional catalog. The model is built with the dataset that includes: the total spend by customers, the number of transactions, the responder that indicates if the customer has responded to promotional catalogs in the past, as well as the drive time to their respective stores.