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Pete Fader’s research focuses on using data generated by new information technology, such as retail point-of-sale scanners and the Internet, to understand and forecast repeat purchasing patterns in a variety of different domains. Recent projects include predictive and explanatory models for electronic commerce (e.g., forecasting models for website usage and purchasing behavior) consumer packaged goods industries (e.g., models of trial and repeat for new products), and the music industry (e.g., understanding the role of radio airplay in generating album sales).

Peter Fader