Conjoint Analysis Software for Market Research

Conjoint Analysis is a model and technique used to assess the different weights individuals place on the variables presented to them in a given purchase situation. For example, if a consumer decides to buy a house there are a couple of distinct variables involved:

• Purchase Price
• Size (Sq. Feet)
• Quality of Bathrooms/Kitchens
• Proximity to Schools

A conjoint study usually involves showing respondents product profiles and asking them to indicate (in a variety of ways) how much they like or prefer these alternative product profiles. Statistics are then used to work out the contribution that each product attribute is making to the overall likeability.

Conjoint Analysis -- Self Explicated and Discrete Choice Models (Full Profile) Download Article   Validating Stated Choice Data Using Conjoint Analysis »   What are the different types of conjoint analysis? There are primarily three distinct variations: Self-Explicated / Max Diff Model - In this model, the respondents are asked "direct" questions about the desirability of a particular list of products and profiles. Discrete Choice - Here respondents are asked to choose between multiple products and the relative weights for each of the attributes are calculated indirectly. At this time, SurveyAnalytics supports all three models; Self-Explicated, Discrete Choice and Ratings Based. What about Analysis tools and Reports? The following toolsets are available for all of the conjoint models: Raw data with the calculated utilities Relative Importance of Attributes and Levels Market Segmentation and Utility Simulator Examples: House Purchase Self-Explicated Model Conjoint Survey House Purchase Choice Based Conjoint Survey House Purchase RatingsBased Conjoint Survey Links: Choice-Based Conjoint Analysis (Shows how to create and customize a Choice Based Conjoint Survey) Conjoint Analysis using the Self-Explicated Model (Explains how to use the Self-Explicated Model)

Conjoint Analysis - Discrete Choice Model Conjoint Analysis is a model and technique used to assess the different weights individuals place on the variables presented to them in a given purchase situation. For example, if a consumer decides to buy a house there are a couple of distinct variables involved: Purchase Price Size (Sq. Feet) Quality of Bathrooms/Kitchens Proximity to Schools A conjoint study usually involves showing respondents product profiles and asking them to indicate (in a variety of ways) how much they like or prefer these alternative product profiles. Statistics are then used to work out the contribution that each product attribute is making to the overall likeability.

View Full Image

Market Segmentation Simulator

View Full Image

Evaluation License