Abstract: Methods and apparatus are disclosed to perform choice modeling with substitutability data. An example method includes receiving base choice probability values for a respondent, wherein the base choice probability value is associated with a product, receiving a respondent substitutability factor associated with the product, identifying, with a cluster analysis engine, a primary product and a secondary product and generating a subrespondent associated with the secondary product, and calculating, with a cross sourcing engine, a modified choice probability for the subrespondent for the secondary product based on the respondent substitutability factor and the base choice probability values associated with the secondary product.

Abstract: Example methods and apparatus to model consumer awareness for changing products in a consumer purchase model are disclosed. A disclosed example method includes receiving utility values associated with at least one of a product or a product attribute, and identifying an agent awareness state associated with the restage product and the original product. The example method also includes calculating a choice probability for the restage product based on the estimated utility values associated with the identified awareness state, and outputting the choice probability for use in a simulation of consumer purchase.