Scenario inputs

Included features
Simulated preference
0%

Weighted across segments

Potential adopters
0

Scenario estimate

Monthly revenue
$0

Before costs or churn

Preference by segment

Offer share

A balanced offer

How the demo works

Each segment has a different synthetic utility for price and features. The interface converts total utility into choice probability with a logistic function. In a real choice-based conjoint, Hierarchical Bayes would estimate individual-level preferences from respondent choices.