Targeted Sampling and Pricing Strategy with Imperfect Targetabil

第十届中国R会议【合肥】

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We investigate how sellers should design targeted sampling and pricing strategy when consumers have product t uncertainty and/or the targeting method cannot perfectly identify customers with speci c traits. We consider three cases: (1) perfect targetability and perfect learning; (2) imperfect targetability; and (3) imperfect learning. We reveals that the decisions of targeted pricing and targeted sampling are a ected by each other. With the presence of imperfect targetability, a over-targeting problem of choosing too many attributes in grouping consumers may occur. The consumer grouping decisions depends on both the degree of targetability and consumers’ability to learning product with provided samples.

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