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This 2.5-day comprehensive seminar is designed to help marketing research practitioners obtain a complete understanding of conjoint analysis and discrete choice modeling, starting with the design process through utility estimation to translating results into actionable information. You will learn:
  • What conjoint analysis and discrete choice modeling do, how to use them, when to use them and what are their marketing applications.
  • How to select attributes and levels; how to determine the most appropriate type of analysis: adaptive, full profile, or choice based conjoint; how to collect data; and the number of profiles each respondent should evaluate.
  • What are utilities, how they are estimated, and how to use them in further analysis.
  • How to design an effective conjoint analysis study using ACA and CBC from Sawtooth Software.
  • How to interpret simulation results and translate them into actionable information.
  • Latest developments in individual level discrete choice analysis techniques such as Hierarchical Bayes, Latent Class or Mixture Modeling.
  • Alternate techniques for pricing research.

Outline

----- First Day -----

08:30 AM - 08:45 AM Introduction of Participants

 

08:45 AM - 10:30 AM Session 1
    INTRODUCTION TO CONJOINT ANALYSIS AND BASIC CONCEPTS:
  • What is conjoint analysis?
  • Basic terms and concepts
  • Range of applications of conjoint
  • Major approaches to conjoint analysis

     

10:30 AM - 10:45 AM Break
10:45 AM - 12:30 PM Session 2
    PLANNING, DESIGNING AND CONDUCTING CONJOINT PROJECTS:
  • Selecting attributes and levels
  • Experimental and survey design issues
  • Comparison of ratings-based and choice-based conjoint models
  • Selecting the best type of model

     

12:30 PM - 01:45 PM Lunch Break
01:45 PM - 03:15 PM Session 3
    ANALYSIS OF CONJOINT DATA:
  • Conjoint utilities and importance scores
  • Utilizing regression and other statistical models with conjoint data
  • Types of conjoint simulation
  • Interpreting the results of conjoint studies
  • Converting conjoint results into shares and other useful metrics
03:15 PM - 03:30 PM Break
03:30 PM - 05:00 PM Session 4
    CONJOINT CASE STUDIES:
  • Case studies of ratings-based conjoint and discrete choice model
  • Presenting conjoint results
  • Analyzing conjoint data with SPSS, using live case study data

     

----- Second Day -----


08:30 AM - 10:15 AM Session 5
    PRACTICUM PART ONE: DESIGN OF CONJOINT STUDY:
  • Group exercise in designing and implementing a conjoint interview
  • Respondent’s perspective on completing a conjoint interview


10:15 AM - 10:30 AM Break

10:30 AM - 12:30 PM Session 6
    PRACTICUM PART TWO: ANALYSIS OF CONJOINT STUDY:
  • Group exercise in analyzing conjoint data
  • Performing conjoint simulations
  • Drawing conclusions and recommendations from conjoint studies
12:30 PM - 01:45 PM Lunch Break
 
01:45 PM - 03:15 PM Session 7
    THE ART OF MODEL BUILDING: Understanding and Overcoming the Limitations of Conjoint Models
  • Calibrating conjoint models to match real world results
  • Using conjoint results for forecasting
  • Diffusion curves and analogs
  • Understanding and modeling interactions in conjoint projects
  • Aggregate vs. disaggregate models
  • Hierarchical Bayes and Latent Class models
  • Value of individual models
  • Leveraging ordered attributes
  • Utility level reversals

     

03:15 PM - 03:30 PM Break
03:30 PM - 05:00 PM Session 8
    ALTERNATIVE APPROACHES TO CONJOINT ANALYSIS:
  • Self-explicated and hybrid conjoint models
  • Adaptive models
  • Build-Your-Own and configurators
  • Model-Free conjoint. Model-building tricks
  • Bundling and positioning applications
  • MaxDiff scaling
  • Optional Workshop: Building Conjoint and DCM Simulators in Excel

                                              ----- Third Day -----

08:30 AM - 10:15 AM Session 9

    SPECIAL CHALLENGES USING CONJOINT METHODS FOR PRICING RESEARCH
  • The art of setting prices
  • Psychological issues in pricing and pricing research
  • Monadic and repeated-exposure designs
  • Special approaches for pricing: two-variable discrete choice, feature-level pricing, price sensitivity meter, and brand-price trade-off


10:15 AM - 10:30 AM Break

10:30 AM - 12:30 PM Session 10
    CLOSING THOUGHTS
  • Applying, communicating, and getting the most out of conjoint through the organization
  • Statistical testing of conjoint results
  • Setting expectations for conjoint projects
  • Dealing with clients and vendors
12:30 PM - 12:45 PM Concluding Remarks
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