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Case Study

Retailer Analyzes Unused Data to Reveal Customer Moods, Boost Online Sales

Companies that don't understand customers' moods and behaviors miss opportunities for engagement, loyalty, and improved sales. Conversely, companies with the ability to connect with personalized, contextually relevant offers in real time, using insights based on in-the-moment activity and past behaviors, meet customers' needs and demands. This case study shows how companies, including retailers and banks, can use an analytical technique called Hidden Markov Models to understand the "hidden state" that influences customer actions and then optimize those insights.

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