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From a survey with more than 10,400 participants, researchers investigate a series of individual characteristics that can potentially differentiate three groups of software downloaders\u2014groups defined by their respective online compensation behavior. One distinctive characteristic for each group of software downloaders is hypothesized and a predictive model is developed. Results suggest that always-paying downloaders are older and that erratic downloaders prefer quality products and engage in more online activities. 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