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PREDICTIVE ANALYSIS FOR STATED CONSUMER PREFERENCE DATA FOR MONITOR INDUSTRY
The goal of this project was to analyze different factors influencing customer purchasing behavior for monitors, and determine the importance of attributes and the consumer's willingness to pay (WTP) for changes in price or device specifications. I utilized a clustering algorithm to categorize customers into different groups and developed a Segmentation, Targeting, and Positioning (STP) strategy for each cluster.
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