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Description of Analytical Services > Conjoint Analysis & Trade-Off/Choice Modeling

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.

Related Resources

Optimizing your Product: How Market Research can Guide you on the Most Profitable Design | White Paper

Charles L. Colby, Chief Methodologist, Rockbridge Associates

Designing a new product or service is marked by challenging trade-offs in the early part of development. The benefits of richer functionality and superior quality increases the development and production costs as well as the required price to break even. Market research methodologies can create simulations of purchase situations that present trade-offs to consumers. Rockbridge Associates explains how "choice analysis" can facilitate product design from the beginning. | Read White Paper »

Understanding Conjoint in 15 Minutes | White Paper

Joseph Curry, President, Sawtooth Technologies, Inc.

This white paper arms you with the basics of conjoint analysis using a simple example. | Read White Paper »

Aligning Your Line: Using Conjoint to Manage Product Lines | Article

Sawtooth Technologies, Inc.

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. | Read Article »

Predicting Revenue from Conjoint Results | Article

Sawtooth Technologies, Inc.

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? | Read Article »

Knowing when the Price is Right | Article

Sawtooth Technologies, Inc.

Research on pricing products and services, obviously popular, can bring successful results through several different research methodologies: find the right one for you. | Read Article »

Predicting Choice with Conjoint Analysis and Discrete Choice | White Paper

Sawtooth Technologies, Inc.

Conjoint Analysis and Discrete Choice are popular techniques because they let marketers predict choice behavior. Follow this detailed example from Sawtooth Technologies, Inc. | Read White Paper »

Conjoint/Discrete Choice Model Output: What’s the Share About? | Article

Sawtooth Technologies, Inc.

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. | Read Article »

Pricing Research - What Do Our Customers Value? | White Paper

Paul Hague and Matthew Harrison, B2B International

Market research can aid businesses facing the challenge of pricing their goods and services by analyzing overt and hidden benefits facing customers. Conjoint analysis and SIMALTO analysis are techniques used by market researchers for assessing the value of an offering. A price tag based on objective assessment rather than judgement is the backbone of effective pricing. | Read White Paper »

How to Measure the Value of a Brand | White Paper

Rajan Sambandam, TRC

Brand name evokes an inherent value; finding a way to reliably measure that value is crucial in determining product development. A technique called discrete choice conjoint analysis is described in this paper by TRC. | Read White Paper »

Conjoint Analysis versus Self-Explicated Method: A Comparison | White Paper

Rajan Sambandam, TRC

Determining feature importance in a product can be divided into two techniques - top-down methods where a customer evaluates the whole product at once, and bottum-up methods where features are evaluated individually or in sets. The former method, Conjoint Analysis, is more common while the latter method, Self-Explicated Method, is not widely used but has practical advantages. TRC compares the two methods in this white paper. | Read White Paper »

New Adaptive Choice-Based Conjoint Technique Shows Promise | Article

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. | Read Article »

Discrete Choice Analysis Makes Comparing Apples to Oranges Possible | Article

Sawtooth Technologies, Inc.

Discrete choice lets you understand how your market makes relevant apples to oranges comparisons. Sawtooth Technologies, Inc. provides an example question for this type of scenario. | Read Article »

Product Configurator | White Paper

Rajan Sambandam, TRC

To help customers purchase the right product, companies often use product configurators - tools that let customers design their purchase before ordering. This method is employed as a market research technique, similar to conjoint analysis but without some of the constrictions. This white paper from TRC explains an appropriate use of the product configurator method. | Read White Paper »

Identifying Feature Importance: A Comparison of Methods | White Paper

TRC

Understanding what customers want is fundamental to the new product development process as well as to the process of keeping existing products fresh and relevant. To be successful in this area we need to be able to correctly identify what features are important to consumers. Feature importance can be measured using a variety of methods of differing effectiveness. In this paper we will deal with the following methods: Importance Scales, Pick data, Pairwise Comparisons, and Max-Diff. | Read White Paper »

Conjoint Analysis: Product Portfolio Optimization | Case Study

Sawtooth Technologies, Inc.

In this case study Sawtooth Technologies, Inc. conducted research into consumer preferences regarding various features and pricing of online classified ads. The objective was to develop an “optimal” product line that would increase sales volume. | Read Case Study »

Conjoint Analysis: B2B Customer Service Strategy | Case Study

Sawtooth Technologies, Inc.

In this case study Sawtooth Technologies, Inc. researched the values for service attributes in the channel (brokers, agents and distributors) and with end-customers. | Read Case Study »

Conjoint Analysis: New Product Selection | Case Study

Sawtooth Technologies, Inc.

In this case study Sawtooth Technologies, Inc. researched a variety of new products to determine which were most likely to succeed and which matched the client’s image/positioning in the financial market. | Read Case Study »

Understand Choice in Banking: Use of Discrete Choice Conjoint Analysis | White Paper

TRC

Conjoint analysis provides incentive for survey respondents to determine which features must not be omitted in their final purchase. The method closely mirrors decision-making in the real world, and as shown by TRC in this white paper, is applicable to many situations including how customers choose their bank. | Read White Paper »

Asking Discrete Choice Questions When the Answer is, “It Depends” | Article

Sawtooth Technologies, Inc.

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. | Read Article »

Using Turf Analysis to Optimize SKU Assortment | White Paper

Julia Nufer, Ph.D., President, Nufer Marketing Research Inc.

TURF analysis enables a marketer to fine tune the assortment of SKUs that comprise a line. It is useful when there are many possible SKUs that could be introduced, and not all can be. An example would be, selecting flavors of cookies or puddings for a new line. This tool is based on maximizing penetration for the line. There are other criteria that will influence the items a marketer selects for a line besides maximizing penetration, so you can use TURF to understand the impact on penetration of a variety of different line compositions. | Read White Paper »

Conjoint Analysis: Product Line Strategy | Case Study

Sawtooth Technologies, Inc.

In this case study Sawtooth Technologies, Inc. conducted research into consumer preferences regarding mortgage product lines, modeled preferences for client and competitive products, and recommended an unexpected product strategy. | Read Case Study »

TURF: New Methods for Implementation | White Paper

Westley Ritz, TRC

TURF is a long-established and quite useful marketing research tool, but not everyone is familiar with how it works, or with the latest developments that can make TURF even more effective. The purposes of this paper are twofold: (1) to explain the technique and (2) to describe the latest methods for implementation. | Read White Paper »

Conjoint Analysis: Staff Training | Case Study

Sawtooth Technologies, Inc.

This report describes the process of teaching a client proper execution of a conjoint study to enable them to conduct their own studies in the future. Sawtooth Technologies, Inc. trained the client's staff on multiple teaching points and illuminated distinct market segments for the client to focus on. | Read Case Study »

Deriving Value from Research: the Use of Conjoint Analysis for Product Development | White Paper

Rajan Sambandam, TRC

Marketing research has been used by firms over the last several decades to provide information for decision making. Over time, increasingly sophisticated statistical methods have been developed and deployed in the service of this goal. This article focuses on one such method - conjoint analysis - and its application to product development. We will briefly look at what conjoint analysis is and a real life example of its application that provided true value to a company. | Read White Paper »

Services related to Analytical Services > Conjoint Analysis & Trade-Off/Choice Modeling

 Types of Research

  Modeling & Predictive Research > Forecasting

  Modeling & Predictive Research > Marketing & Sales Effectiveness

  Modeling & Predictive Research > Market Simulation

  Modeling & Predictive Research > Test Marketing

  New Product Research

 Research Techniques & Services

  Analytical Services > Analysis of Variance/Co-Variance

  Analytical Services > Census Data / Demographic Analysis / Geo-Demographic Clustering

  Analytical Services > Data Analysis

  Analytical Services > Forecasting

  Analytical Services > Modeling

  Analytical Services > Multivariate Analysis

  Market Research Consultants > Statistical Analysis

 Market Research Software

  Conjoint / Trade-Off Measurement Software