Market research firms that specialize in analytical services for conjoint analysis and trade-off/choice modeling. See companies offering this multivariate technique used to provide a quantitative measure of the relative importance of one variable as compared to another variable.
Product optimization is one of the most important decisions any organization will make, but it can often be cumbersome to research. See how the Rockbridge Associates’ hybrid-conjoint solution delivers maximum value by providing an easy to use, excel-based simulator that allows the research user to examine how different product feature combinations impact profits.
Traditional segmentation strategies have had two distinct focuses: benefits-based strategies and a priori strategies. Each of these traditional techniques has its benefits and drawbacks. Predictive segmentation effectively parses the market into easily-identifiable and discrete market segments that differ based on both needs and behavior.
Conjoint analysis, also referred to as discrete choice, has been in use for decades. What has led to its popularity? Why does it keep researchers, academicians, and research end-users engaged? In short, why do we still love conjoint?
Especially in times of shrinking budgets, it is critically important to allocate benefits dollars wisely. Human Resources departments have the opportunity to use customer-focused approaches to maximize ROI. Techniques such as Discrete Choice Analysis and MaxDiff can help companies maximize employee satisfaction for each dollar spent.
Discrete choice questions are typically straightforward – “Which product do you prefer?” However, in some situations, the respondent may be thinking, “It depends.” This article describes these situations and some possible solutions.
When business decision-makers look at conjoint and discrete choice model output, how should the share results be interpreted and used? In this post, we share our thoughts about preference share and market share, based on decades of practical experience.
It is common to think about using conjoint / discrete choice to configure products and test pricing, but it also extremely useful for finding opportunities to shrink product lines, testing whether additional products cannibalize or add to preference, and uncovering segments and aligning products with their preferences.
Conjoint analysis is a powerful tool for predicting market reaction to changes in existing products or services or completely new products. But how well do conjoint model results translate into real world results? And can you predict revenue from conjoint results?
Jon Godin, Director of Analytical Services, Chadwick Martin Bailey, Inc.
Adaptive Choice-Based Conjoint is a new conjoint technique that is an approach to discrete choice that would “adapt” to respondent answers as the task progresses. This article provides analysis of the process of this new method.