Learn how ACBC can make your conjoint more engaging for respondents and more insightful for researchers
What users of research need to know about Choice-Based Conjoint (Discrete Choice)
When your attributes don’t have levels, look outside conjoint to other methods such as MaxDiff Scaling
Reveals inconsistencies in the use of this pricing method; generally recommends avoiding its use
Discusses a flexible conjoint methodology that is useful for researching bundling, menu configuration, and multi-step choice processes
Explores how to quantify incremental value of individual product features via conjoint analysis
How Conjoint Handles Really Complicated Ideas: Adventures in Advanced Choice-Based Conjoint Applications
Discussions of alternative-specific designs, prohibitions, conditional pricing, summed pricing, Hierarchical Bayes, volumetric CBC, and more
The basics of choice-based conjoint analysis (discrete choice modeling)
A customized, interactive survey experience that “learns” from respondent choices, picks up non-compensatory decision making behavior, and allows flexible price modeling via summed pricing.
A review of both direct questioning techniques like willingness to pay, monadic designs, and van Westendorp, and trade-off techniques such as conjoint, for use in pricing research.