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Case Studies

Adaptive Conjoint for a New Finance Product


This US finance brand was building out a new global product, and wanted to understand which, of a long list of features, and feature bundles, they should build the product around, and how to price it.


We customized a choice-based conjoint approach around the client’s needs, ran in-depth profiling of how the different features would drive acquisition, and used natural language processing of consumers’ responses to further unlock the drivers and barriers behind potential product usage. We identified the optimal features, and feature bundles for different audiences, and guided the client on pricing strategy.


The work was foundational to underpinning the client’s product development strategy.