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University of Missouri School of Law

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Secret Consumer Scores And Segmentations: Separating Consumer 'Haves' From 'Have-Nots', Amy J. Schmitz Jan 2014

Secret Consumer Scores And Segmentations: Separating Consumer 'Haves' From 'Have-Nots', Amy J. Schmitz

Faculty Publications

“Big Data” is big business. Data brokers profit by tracking consumers’ information and behavior both on- and offline and using this collected data to assign consumers evaluative scores and classify consumers into segments. Companies then use these consumer scores and segmentations for marketing and to determine what deals, offers, and remedies they provide to different individuals. These valuations and classifications are based on not only consumers’ financial histories and relevant interests, but also their race, gender, ZIP Code, social status, education, familial ties, and a wide range of additional data. Nonetheless, consumers are largely unaware of these scores and segmentations, …