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Finding customer needs using Cluster Analysis

Published: Author: Oliver Staubli, CEO & Data ScientistTags: Article,  E-CommerceData Science,  Examples,  Exploratory Data AnalysisData Visualization

Whether your company sells clothes, cars or shampoo, with every product sold you should learn more about the past needs of your customers. The longer the customer relationships and the more customers you have, the greater the chance that exciting patterns are hidden in your transactional data. The knowledge about your customers' needs is ideal for cross- and up-selling. Through improved targeting (matching the right offer to the right customer), your customers are more likely to convert. In addition, customer loyalty increases because the customer feels understood and listened to.

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