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Commentary on "Predicting customer value using clumpiness from RFM to RFMC"
Rao, Vithala R. - In: Marketing science : the marketing journal of the … 34 (2015) 2, pp. 213-215
Persistent link: https://www.econbiz.de/10010515910
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Commentary on "Predicting customer value using clumpiness"
Kumar, Vineet; Srinivasan, Kannan - In: Marketing science : the marketing journal of the … 34 (2015) 2, pp. 209-213
Persistent link: https://www.econbiz.de/10010515915
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Predicting customer value using clumpiness : from RFM to RFMC
Zhang, Yao; Bradlow, Eric T.; Small, Dylan S. - In: Marketing science : the marketing journal of the … 34 (2015) 2, pp. 195-208
Persistent link: https://www.econbiz.de/10010515923
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The role of big data and predictive analytics in retailing
Bradlow, Eric T.; Gangwar, Manish; Kopalle, Praveen K.; … - In: Journal of retailing 93 (2017) 1, pp. 79-95
Persistent link: https://www.econbiz.de/10011704696
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Improving the crystal ball : harnessing consumer input to create retail prediction markets
Kaufman-Scarborough, Carol; Morrin, Maureen; Bradlow, … - In: Journal of research in interactive marketing : … 4 (2010) 1, pp. 30-45
Persistent link: https://www.econbiz.de/10003982752
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Model selection using database characteristics : developing a classification tree for longitudinal incidence data
Schwartz, Eric M.; Bradlow, Eric T.; Fader, Peter - In: Marketing science : the marketing journal of the … 33 (2014) 2, pp. 188-205
Persistent link: https://www.econbiz.de/10010358791
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Understanding service retention within and across cohorts using limited information
Schweidel, David A.; Fader, Peter; Bradlow, Eric T. - In: Journal of marketing 72 (2008) 1, pp. 82-94
Persistent link: https://www.econbiz.de/10003643026
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A cross-cohort changepoint model for customer-base analysis
Gopalakrishnan, Arun; Bradlow, Eric T.; Fader, Peter - In: Marketing science : the marketing journal of the … 36 (2017) 2, pp. 195-213
Persistent link: https://www.econbiz.de/10011672435