Patent ID: 11972464
Assignee: MAPLEBEAR INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 11:
12. A method comprising:
at a computer system comprising at least one processor and memory:
training a plurality of incrementality models, wherein each incrementality model is trained to generate a predicted incrementality score for a user based on user data describing characteristics of a user, wherein a predicted incrementality score represents a likelihood that applying a candidate treatment to a user will cause the user to perform a target action associated with the candidate treatment;
computing a set of cumulative incrementality scores for each incrementality model of the plurality of incrementality models, wherein a cumulative incrementality score for an incrementality model represents an area of a section of an incrementality curve above a threshold predicted incrementality score, and wherein each cumulative incrementality score in a set of cumulative incrementality scores for an incrementality model is associated with a different threshold predicted incrementality score;
determining a targeting depth for the candidate treatment;
selecting an incrementality model of the plurality of incrementality models based on the targeting depth and the set of cumulative incrementality scores of the each of the plurality of incrementality models;
generating a predicted incrementality score for a viewing user by applying the selected incrementality model to user data describing characteristics of the viewing user; and
applying the candidate treatment to the viewing user based on the predicted incrementality score.