Learn About Conjoint And Trade-Off Analysis

Related Articles

There are 44 articles in our archive related to this topic. Below are 5 selected at random and available to all users of the site.

Using conjoint analysis for Web site development

Since its introduction in the 1970s, conjoint analysis has become one of the researcher’s most trusted tools to support the product development process. This article examines the application of conjoint analysis to support Web site development, using a fictitious company to illustrate study preparation, fielding and the application of results.

Data Use: Understanding conjoint analysis in 15 minutes

Marketers use conjoint analysis determine what features a new product should have and how it should be priced. This article details the basics of conjoint analysis using a simple example.

Benefit impact analysis

Conjoint analysis is incredibly useful to managers. This article outlines benefit impact analysis, a relatively simple technique for exploring product elements that produces a measure analogous to conjoint’s utility values in lieu of conjoint analysis.

Improving continuous improvement with maximum difference scaling

To perform better, companies need to know what’s most important to consumers. The author outlines how to use max-diff to identify improvement priorities.

Borrowing from one to enrich the other

Once-academic techniques have become increasingly common in everyday quantitative market research. This article discusses three multivariate techniques that have been adapted for qualitative research: conjoint analysis, cluster analysis and multidimensional scaling.

See more articles on this topic

Recent Articles

Below are the 5 most recent articles on this topic. These articles were published within the last three years and are only available to registered subscribers.

The power of prediction markets

What’s the allure of prediction markets? Do they work? If so, how? Should researchers be interested?

Data Use: A look inside the choice-modeling toolbox

An overview of five common choice models employed in marketing research.

Improving continuous improvement with maximum difference scaling

To perform better, companies need to know what’s most important to consumers. The author outlines how to use max-diff to identify improvement priorities.

Data Use: Adaptive choice is a good choice

Using an example of a transportation company client, the author outlines why adaptive choice-based conjoint analysis is a useful tool for developing market segmentations.

Data Use: Best practices for well-differentiated questionnaire data

How longer point scales, alternate labeling of scale points and other strategies can help you wring more meaning from your data.

See more articles on this topic

Related Suppliers: Research Companies from the SourceBook

Click on a category below to see firms that specialize in the following areas of research and/or industries

Specialties

• Conjoint Analysis/Trade-Off Analysis

Conduct a detailed search of the entire Researcher SourceBook directory