Watch this video to learn how ACBC can make your conjoint more engaging for respondents and more insightful for researchers.

This video shows how to add absolute importance to MaxDiff results.

This video shows what MaxDiff is, when to use it, and why it’s better than rating scales.

This video shows what users of research need to know about Choice-Based Conjoint (Discrete Choice).

A review of typical questions brand research addresses, including tools used to provide answers to these questions.

The basics of choice-based conjoint analysis (discrete choice modeling).

When your attributes don’t have levels, look outside conjoint to other methods such as MaxDiff Scaling.

Discussions of alternative-specific designs, prohibitions, conditional pricing, summed pricing, Hierarchical Bayes, volumetric CBC, and more.

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.

Describes the use of a conversion score to make market segmentation solutions more actionable.

Describes a method for testing customer interest in competitive offerings and identifying those most vulnerable to churn.

Reviews clustering, factoring, modeling, behavioral, attitudinal, and a general how-to when considering a segmentation project.

Discusses classification systems, such as CHAID and CART, used to analyze markets or find groups for targeted advertising.

Explores how to quantify incremental value of individual product features via conjoint analysis.

Discusses challenges identifying drivers of satisfaction and loyalty, and examines the Averaging Over Orderings (AOO) Regression method for improving outcomes.

Using MaxDiff to obtain preference/importance scores for multiple items without scale bias.

Discusses a flexible conjoint methodology that is useful for researching bundling, menu configuration, and multi-step choice processes.

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.

Technical methodological details of reverse segmentation analysis.

How reverse (object-based) segmentation help segment based on both attitudes/behaviors and targeting variables.