Preference regression: Difference between revisions

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{{unreferenced|date=February 2008}}

[[Image:PerceptualMap3.png|thumb|right|Perceptual map of competing products with ideal vectors]]

'''Preference regression''' is a statistical technique used by marketers to determine consumers’ [[Preference|preferred]] core benefits. It usually supplements [[positioning (marketing)|product positioning]] techniques like [[multi dimensional scaling (in marketing)|multi dimensional scaling]] or [[factor analysis]] and is used to create ideal vectors on [[perceptual mapping|perceptual maps]].

==Application==

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==References==

*{{Cite book | last1 = Park | first1 = S. T. | last2 = Chu | first2 = W. | doi = 10.1145/1639714.1639720 | chapter = Pairwise preference regression for cold-start recommendation | title = Proceedings of the third ACM conference on Recommender systems - RecSys '09 | pages = 21 | year = 2009 | isbn = 9781605584355 }}

*{{cite doi|10.1145/1639714.1639720}}

*Jarboe, G.R.; McDaniel, C.D.; Gates, R.H. (1992). "Preference regression modeling of multiple option healthcare delivery systems". ''Journal of Ambulatory Care Marketing'', 5(1), p.71-82.

[[Category:Choice modelling]]

[[Category:ConsumerQuantitative behaviourmarketing research]]

[[Category:Market research]]

[[Category:Product management]]

[[Category:MultivariateDimension statisticsreduction]]

[[Category:Marketing analytics]]