Conjoint Analysis in Consumer Research: Issues and Outlook.
Conjoint analysis is a statistical method used to determine how customers value the various features that make up an individual product or service. If performed correctly, conjoint analysis can reveal detailed insights into target markets and competitive landscapes, as well as help guide marketing strategies.
Conjoint analysis is the most widely used multivariate research technique for establishing product attribute and price levels for both new and mature products. Conjoint analysis is typically used to measure consumers’ preferences for different brands and brand attributes.
In this paper, the authors used three alternative methods (ordinary least squares, ordered Logit, and doubly-censored Tobit) for estimating preference through conjoint analysis with respect to one.
Conjoint analysis is a powerful market research technique that measures how people make decisions based on certain features of a product or service. It decodes their purchasing behaviors helping you predict how your product or service will perform in the market. Decode Consumer Behavior Using Conjoint Analysis.
This article provides a general discussion of conjoint analysis (CA) applications and identifies and reviews principal contributions, streams of research, and applications within the overall field. CA is a generic term for methods developed to model and measure preferences and trade-offs that share several common features.
Conjoint Analysis Survey Template by QuestionPro is carefully curated by market research experts. You can customize this questionnaire according to your requirement to obtain desired insights, as it consists of the most widely used conjoint analysis questions. This sample can either be directly implemented for a specific survey or can be modified as per the target audience before sending it out.
The methodology used in this paper is the pilot questionnaire to know the factors affecting preferences for consumption of food and vegetables of consumers and most commonly fruits and vegetables consumed through conjoint analysis. The sample size was 600 that are randomly chosen households and the response rate was 63.5%.