October 13, 2025Open Access

What is in a Price? Estimating Willingness-to-Pay with Bayesian Hierarchical Models

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The model successfully estimates willingness-to-pay for specific feature upgrades, improving pricing strategies.
Bayesian hierarchical models recover true feature valuations from consumer choice data, offering insights for product design.
The innovative methodology incorporates full posterior probability distributions, enhancing decision-making in pricing.
Utilizing a realistic conjoint survey with the Apple iPhone, the study reveals consumer preferences and value perceptions.

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Bayesian hierarchical conjoint analysis estimates feature value in products like the iPhone, suggesting improvements in pricing strategies.

Pillai et al. (2025) studied this question.

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Bayesian hierarchical conjoint analysis estimates feature value in products like the iPhone, suggesting improvements in pricing strategies.