Many companies collect stated preference (SP) data, such as intentions and satisfaction, as well as revealed preference (RP) data, such as actual purchasing behaviour. It seems relevant to examine the predictive usefulness of this information for future revealed preferences--that is, customer behaviour. In this paper we address this issue by considering three case studies. Our results indicate that adding SP data to RP data for predicting future customer behaviour does not result in better forecasts

Additional Metadata
Keywords Consumer preferences, business forecasting, consumer behavior, consumers (attitudes), consumers (research), purchasing
Persistent URL hdl.handle.net/1765/13821
Series ERIM Article Series (EAS)
Journal International Journal of Market Research
Citation
Verhoef, P.C, & Franses, Ph.H.B.F. (2003). Combining revealed and stated preferences to forecast customer behavior: three cases studies. International Journal of Market Research, 467–474. Retrieved from http://hdl.handle.net/1765/13821