Conjoint Survey Design
End-to-end CBC/ACBC survey design, from defining attributes and levels to the experimental design.
Conjoint Analysis
Ground your product and pricing decisions in real preferences: CBC and ACBC conjoint analysis.
Realistic choice scenarios show which features and price points actually drive preference.
CBC (Choice-Based Conjoint)
Preference data is collected through realistic choice sets across multiple product concepts.
ACBC (Adaptive CBC)
The survey adapts to each participant's prior answers, capturing more accurate preference data with fewer questions.
Utility Analysis
Utility scores are calculated by attribute and level from the collected preference data.
Market Simulation
Simulation of how different product and price scenarios would affect market share.
Price Optimization
Price sensitivity is measured to identify optimal price points and positioning.
Methodology
From design to decision-support report in three steps.
Design
Attributes, levels and experimental design are agreed jointly.
Data collection
The survey is fielded in a format suited to the target audience.
Analysis and simulation
Utility scores are calculated and delivered with a market simulation in a decision-support report.