Hybrid Individualized Two-level Choice-based Conjoint (HIT-CBC): A New Method for Measuring Preference Structures with Many Attribute Levels

Felix Eggers, Henrik Sattler*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review


The authors introduce hybrid individualized two-level choice-based conjoint (HIT-CBC), which combines self-explicated preference measurement (SE) with choice-based conjoint analysis (CBC). The CBC part is adapted individually to a choice design that uses only the best and worst levels of each attribute identified in the SE phase. Prior knowledge about the best and worst levels allows HIT-CBC to generate an adaptive efficient (i.e., Pareto-optimal, balanced, orthogonal, minimally overlapping) choice design that is easy to implement. Whereas existing conjoint measurement approaches suffer from the number-of-levels effect, HIT-CBC avoids this problem because it reduces every attribute to two levels. Thus, HIT-CBC is appropriate for problems with many and imbalanced attribute levels. Furthermore, the transformation to the best and worst levels exemplifies a new and favorable way to account for consumer heterogeneity. In addition, HIT-CBC introduces the possibility of using individualized willingness-to-pay measures as price levels, which results in more flexibility for modeling demand functions (e.g., identifying price thresholds). A simulation study and an empirical study show the robust predictive validity of HIT-CBC compared with a standard CBC approach, and illustrate the advantages of HIT-CBC with a pricing study. (C) 2009 Elsevier B.V. All rights reserved.
Original languageEnglish
JournalInternational Journal of Research in Marketing
Issue number2
Pages (from-to)108-118
Number of pages11
Publication statusPublished - 2009
Externally publishedYes


  • Choice-based conjoint
  • Number-of-levels effect
  • Heterogeneity
  • Pricing

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