Using Laboratory Brand Preference Scales to Predict Consumer Brand Purchases
AbstractLaboratory measures of brand preferences and survey measures of demographic, media exposure, attitudinal, activity and opinion characteristics of individual consumers have been combined to predict brand purchases in the market. Brands in the tooth paste, liquid household cleaner and cake mix product categories were employed in a set of laboratory experiments. Preference scales derived from the experiments are used in three separate models to predict the subject's purchases recorded in seven months of diary data. The behavioral implications and predictive power of the models are interesting from both theoretical and applied points of view.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by INFORMS in its journal Management Science.
Volume (Year): 17 (1971)
Issue (Month): 6 (February)
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Silk, Alvin J. & Urban, Glen L., 1976. "Pre-test market evaluation of new packaged goods : a model and measurement methodology," Working papers 834-76., Massachusetts Institute of Technology (MIT), Sloan School of Management.
- Urban, Glen L. & Weinberg, Bruce D. & Hauser, John R., 1994. "Premarket forecasting of really new products," Working papers 3689-94., Massachusetts Institute of Technology (MIT), Sloan School of Management.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mirko Janc).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.