Conjoint analysis in R can help you answer a wide variety of questions like these. Conjoint analysis is one of the most widely-used quantitative methods in marketing research and analytics. Conjoint analysis is a set of methods that enables you derive the underlying utilities and preferences of consumers by looking at their decision. “Conjoint analysis method and its implementation in conjoint R package,” in Data Analysis Methods and its Applications, Version 1.39, eds J. Pociecha and R. … Its algorithm was written in R statistical language and available in R [29]. In contrast to classical methods, you do not need to run after the customer and ask him what he likes, but rather you just observe his actually choice or judgement. In microeconomics, measurement of consumers' preferences is one of the most important elements of marketing research. But the truth is, you can use this method efficiently, thanks to user-friendly software like QuestionPro. Conjoint methods are intended to “uncover” the underlying preference function of a product in terms of its attributes4 4 For an introduction to conjoint analysis, see Orme 2006. Faisal Conjoint Model (FCM) is an integrated model of conjoint analysis and random utility models, developed by Faisal Afzal Sid- diqui, Ghulam Hussain, and Mudassir Uddin in 2012. Full-profile conjoint analysis takes the approach of displaying a large number of full product descriptions to the respondent. Its design is independent of design structure. Conjoint analysis example Many businesses shy away from the conjoint analysis because of its seemingly sophisticated design and methodology. conjoint — An Implementation of Conjoint Analysis Method. Conjoint Analysis Considerations. Full-profile conjoint analysis. It gets under the skin of how people make decisions and what they really value in their products and services. Conjoint analysis has as its roots the need to solve important academic and industry problems. Finding factors across different age groups (or any other distinguishing feature) Inclusion of Fuzzy conjoint analysis It contains the implementation of the traditional conjoint analysis method. conjoint R – statistical software package for GNU R program. It is written in R programming language as the development (module) of popular statistical software in the form of GNU R program, it also works with programs dedicated to R environment, such as: RStudio and Microsoft R Application Network. More details are available in their article: Conjoint analysis method and its implementation in conjoint R package. Here is a breakdown of conjoint in simple terms, along with a conjoint analysis marketing example. The evaluation of these packages yields large amounts of information for each customer/respondent. 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