MEASURING CUSTOMER PREFERENCES: APPLIED CONJOINT ANALYSIS WITH R
In-person events in Wiesbaden or online seminar on 1 day: €1,090 per person (net)
For all market researchers who want to learn conjoint analysis in a thorough and practical way.
Dates for open training courses: on request!
IN-HOUSE SEMINAR
Seminars held at the customer's location
€1,390.00
per day up to 4 participants plus statutory VAT
All content of the in-house seminars is individually tailored and taught to specific target groups .
Intensive follow-up support enables participants to implement their knowledge in the shortest possible time.
Recommended seminar duration: 1.5 days
Rental fees for training notebook (on request): 60,- Euro (per day, per training computer)
LEARNING OBJECTIVES AND AGENDA
Goals:
Plan and conduct preference experiments yourself
Conduct conjoint analyses
Use the results of conjoint analyses for your own marketing activities
Introduction to the topic of conjoint analysis
Random Utility Theory: Alternatives, Preferences and Decisions
The linear conjoint model
Preference experiments / Experimental designs
Pricing & Willingness to Pay
Additive Conjoint Analysis (ACA)
Choice-Based Conjoint Analysis (CBC)
WORKSHOP
You tell us your topics!
Price on request
plus statutory VAT and travel expenses if applicable
All workshop content is individually tailored and taught to specific target groups .
We are happy to conduct the workshop at your location, in Wiesbaden or online.
Rental fees for training notebook (on request): 60,- Euro (per day, per training computer)
CONTENTS
The aim of the course is to provide the necessary background and practical knowledge to successfully conduct conjoint studies. In addition to standard conjoint analysis, the focus is also on choice-based conjoint analysis (CBC) and additive conjoint analysis (ACA). In addition to teaching the necessary theoretical concepts, the practical computer-assisted application of these methods will then follow.
The statistical program R and suitable additional packages are primarily used to implement the additive and choice-based conjoint analyses.
In addition, the (partial) implementation in IBM SPSS Statistics® can also be demonstrated if interested.
No other software packages are required for implementation. Intensive practice of the procedures is a fundamental component of the course, as this is the only way to achieve the highest possible learning success.