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Learn About Conjoint And Trade-Off Analysis

We've grouped together all the information our site contains on Conjoint Analysis and Trade Off Analysis to help you quickly and easily find related articles, companies, events, jobs, associations, glossary definitions and more.

Related Articles

There are 48 articles in our archive related to this topic. Below are 5 selected at random and available to all users of the site.

Data Use: Discrete choice modeling: Understanding a 'better conjoint than conjoint'
Since its introduction 20 years ago as an innovative new way to determine consumers’ true product and service preferences, shortcomings have been discovered with conjoint analysis. This article discusses discrete choice modeling, which was developed as an analytical technique to resolve the problems with conjoint analysis.
Data Use: Trade-off analysis: a survey of commercially available techniques
Trade-off analysis is a family of methods by which respondents' utilities for various product features are measured. This article discusses trade-off analysis, including basic concepts and the four main types of trade-off: conjoint, discrete choice, self-explicated and hybrid.
Cable companies must listen to customers if they hope to survive in a rapidly changing market
With increasing competition, cable companies must be more proactive and dynamic to be successful. Customer loyalty is key to success. This article discusses how cable companies must act regarding customer loyalty. In addition to noting the information cable companies need to obtain, this article provides a case study that shows how one cable system used an innovative application of conjoint analysis in its research.
Conducting full-profile conjoint analysis over the Internet
This article discusses pros and cons of various types of text-based e-mail surveys and online surveys. It also reports on an online full-profile conjoint survey dealing with credit card preferences. This study used an Internet survey to compare the pairwise and single-concept approach for computerized FP conjoint analysis.
Improving marketing decision-making with conjoint analysis
This article presents factors for conducting effective conjoint analysis research. Topics include effectively preparing for a conjoint study, clarifying product attributes and levels, pilot testing, efficiently collecting data and making results clear and actionable for management.

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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.

When Apple, Samsung and conjoint came together
Best practices for key driver analysis
Key driver analysis is a versatile tool in the marketing research toolkit and can help clients uncover what is most important to consumers in a product or service category and understand where to focus their priorities.
The value of mixing conjoint with qualitative
While acknowledging the limitations of doing so, the author argues that it’s possible to successfully incorporate a conjoint study into the qualitative setting.
What's hot in conjoint: A recap from the 2013 Sawtooth Software Conference
SKIM's Chris Fotenos reports back from the 2013 Sawtooth Software Conference with an overview of the themes and popular topics covered regarding conjoint analysis, including how to make conjoint more engaging, how to take conjoint mobile and how to augment conjoint with other data sources.
The power of prediction markets
What’s the allure of prediction markets? Do they work? If so, how? Should researchers be interested?

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