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Conjont Analysis: Self Explicated, Full Profile, Choice
Based
Conjoint Analysis is an advanced analytical technique used
to determine the joint influence that feature and level combinations
of a product or service have on the purchase decisions. A
properly designed conjoint analysis study allows any combination
of features and levels to be profiled to estimate market or
choice share. Competing profiles enable such questions as
"What impact will our new product formulation have on
our market share?", "What happens if our competitors
introduce product formulation X?", or "What feature
set would our customers like best?"
Depending on the type of conjoint survey conducted, statistical
methods like ordinary least squares regression, weighted least
squares regression, and logit analysis are used to translate
respondent answers into importance values and utilities. Conjoint
analysis methodology has withstood intense scrutiny from both
academics and professional researchers over the past 25 years
and is widely used in consumer products, durable goods, pharmaceutical,
transportation and service industries.
In conjoint analysis, the relationships between each of the
features and levels are evaluated. The goal is to reveal the
underlying value respondents would consciously or subconsciously
place on profiles that represent full product configurations.
Using the Question Wizard, you can build and deploy a conjoint
question set in under 20 minutes. If you know the Features/Levels
for the product/service that you want to evaluate, the Survey
Engine handles all the complex logic of preparing questions
for feature and level presentation. [View
Live Demo] (New Window)
If you are interested in conducting a conjoint analysis study,
please contact:
Scott M. Smith, Ph.D.
smsmith@edusurveys.com
(801) 705-4950
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Build Your Own Conjoint Survey NOW
Do you already have an idea of the features and attribute
levels for a product/service that you want to evaluate ?
Enter in Different Features (Price, Color, etc.) in each line.
For each feature enter in a comma separated list of levels
to be considered within that feature.
Car Buying Example
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