About
Get in Touch Request a Quote

Conjoint Analysis

Understand how consumers trade off product features, price, and brand to optimise your product configuration, pricing, and positioning.

Request a quote

The Science of Consumer Trade-Offs

Conjoint analysis is the gold standard for understanding how consumers value different product attributes. By presenting realistic product profiles and asking consumers to choose, we reveal the implicit trade-offs that drive real purchase decisions.

Choice-Based Conjoint (CBC)

Our most-used approach. Respondents choose between product profiles in a realistic shelf-like environment, producing preference shares, willingness-to-pay estimates, and market simulation models.

Applications

  • Product optimisation — which feature combination maximises preference?
  • Pricing research — what premium will consumers pay for specific attributes?
  • Competitive simulation — how would a new product perform against current options?
  • Bundle design — which service package maximises value perception?

Frequently asked questions

Conjoint analysis is a statistical technique that determines how consumers value different attributes of a product or service by asking them to evaluate realistic product profiles, revealing the implicit trade-offs they make.

We use choice-based conjoint (CBC) for most applications, adaptive conjoint (ACBC) for complex attribute sets, and menu-based conjoint for bundle optimisation.

Optimise With Conjoint

Let consumer trade-off data guide your product decisions.