Adaptive Choice-Based Conjoint (ACBC)   適應選擇聯合分析軟體

Adaptive Choice-Based Conjoint (ACBC) is our most advanced system for conjoint/choice analysis. It is used for studying how people make decisions regarding complex products or services. ACBC is a new approach to preference modeling that leverages the best aspects of CBC (Choice-Based Conjoint) and ACA (Adaptive Conjoint Analysis). An Adaptive Choice interview is an interactive experience, customized to the preferences and opinions of each individual.

Sample Surveys With Notes Explaining ACBC Method:
Fine Dining Restaurants (7 attributes, with price)
Utility Tables (7 attributes, conditional graphics, with price)
Home Purchases (7 attributes, no price)
Grand Pianos (6 attributes, with price)
Grand Pianos (6 attributes, with price, dynamic brand list)

Benefits of ACBC
More engaging, relevant interviews
Directly incorporates non-compensatory decision-making
Ability to obtain strong individual-level estimates
Can work even with the smallest of sample sizes
Solid behavioral theory (consideration, then choice)
Solid statistical theory (near-orthogonal experiments and choice data)
　

When to Use ACBC?
Five or more attributes
Either large or very small sample sizes
When conjoint sections of about 7 to 15 minutes fit within the questionnaire
　

Why It Works
ACBC's question flow incorporates the well-established theory that buyers make complex choices by forming a consideration set (typically using cut-off rules) and then choosing a product within that consideration set. We display relevant products for respondents to consider by patterning them after the preferred product that respondents have first specified using a BYO (Build-Your-Own) exercise.

Respondents find adaptive CBC interviews more engaging, realistic, and relevant compared to traditional (static) CBC interviews. Even though the interviews are typically longer than standard CBC questionnaires, respondents generally prefer the overall experience.

In addition to the standard part-worth utilities that are useful for segmentation and market simulation, we capture the specific "must-have" and "unacceptable" rules that respondents express during the screening process. We also can tabulate the responses from the BYO (configurator) question. These data provide greater insight than typical CBC studies.
　

同公司系列產品
Our Flagship Platform and General Interviewing Tool
SSI Web - Our flagship platform that includes a variety of components for general interviewing (CiW), conjoint analysis (ACBC, CBC, ACA, and CVA) and MaxDiff.
CiW
Choice-Based Conjoint (CBC) Related Products
ACBC - Adaptive Choice-Based Conjoint -
CBC - Choice-Based Conjoint
CBC Advanced Design Module
CBC/HB - Hierarchical Bayes estimation for CBC.
CBC Latent Class Module - Latent Class estimation for CBC.
MBC - Menu-Based Choice
Ratings-Based Conjoint Products
ACA - Adaptive Conjoint Analysis
ACA/HB - Hierarchical Bayes estimation for ACA.
CVA - Conjoint Value Analysis
CVA/HB - Hierarchical Bayes estimation for CVA.
Market Simulation Tools
Online Simulator
ASM - Advanced Simulation Module
CCS - Client Conjoint Simulator
Maximum Difference Scaling (MaxDiff)
MaxDiff - Maximum Difference Scaling
MaxDiff Analyzer - Maximum Difference Analyzer
Other Analytical Tools
CCEA - Convergent Cluster & Ensemble Analysis.
HB-Reg - Hierarchical Bayes estimation for general regression-based modeling.