Choice modelling
What will customers actually choose?
Change the price, alter the size, add a feature: which combination maximizes profit? Conjoint analysis uncovers how people trade off attributes when they make real decisions, so you can design the offer the market wants.
What it answers
- Which features drive choice, and which don't
- How much customers will pay for each attribute
- The price/size sweet spot for your line
- How share shifts when a competitor moves
How it works
- Respondents choose between realistic product profiles
- We estimate the value (part-worth) of every attribute
- A market simulator combines them into share predictions
- You run unlimited what-if scenarios yourself
What you get
- Attribute importance & willingness-to-pay
- An interactive share-of-preference simulator
- Clear, visual reporting, not raw tables
- Recommendations tied to your decision
Live demo
Market-share simulator
Configure two products and watch predicted share of preference update in real time. This is a simplified illustration. Your study's simulator is built from your own data.
Coffee brand: share of preferenceDemo data
Attribute
Product A
Product B
Price
Size
Feature
Share
Remaining share goes to "other / none." Built on a multinomial-logit choice model, the same engine behind a real Radix conjoint study.
Design the offer your market wants
We'll build a conjoint study around your products, your attributes and your competitors, and hand you a simulator your whole team can use.
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