Systems and methods for intelligent promotion design with promotion scoring

    公开(公告)号:US11941659B2

    公开(公告)日:2024-03-26

    申请号:US18295767

    申请日:2023-04-04

    Applicant: MAPLEBEAR INC.

    Inventor: Michael Montero

    Abstract: Systems and methods for scoring promotions are provided. A set of training offers are received, which include combinations of variable values. These combinations of variable values are converted into a vector value. The offers are paired and the vectors subtracted from one another, resulting in a pair vector. Metrics for the success of offers is collected, and are subtracted from one another for the paired offers to generate a raw score. This raw score is then normalized using the pair vector. The normalized scores are utilized to generate a model for the impact any variable value has on offer success, which may then be applied, using linear regression, to new offers to generate an expected level of success. The new scored offers are ranked and the top-ranked offers are selected for inclusion in a promotional campaign.

    Systems and methods for intelligent promotion design with promotion selection

    公开(公告)号:US11699167B2

    公开(公告)日:2023-07-11

    申请号:US17665504

    申请日:2022-02-05

    Applicant: Maplebear Inc.

    Inventor: Michael Montero

    Abstract: Systems and methods for the selection of the promotions are provided. A set of possible offers are initially received, each including a set of variables, with each variable having a set of possible values. These form a combination of variable values for each offer. A heuristic is applied to all possible offers to reduce the number of offers being considered. The combination of variable values for these reduced number offers is converted into a vector value, which is then scored, ranked and the top ranked offers are selected for inclusion in a promotional campaign. The remaining offers are then analyzed to select additional offers to include into the promotional campaign which maximizing a determinant for the selected offers using their vectors. All selected offers are administer in a promotional test campaign across many consumer segments. Feedback from the campaign may be collected to generate a “general” offer.

    Systems and Methods for Intelligent Promotion Design with Promotion Scoring

    公开(公告)号:US20240193637A1

    公开(公告)日:2024-06-13

    申请号:US18582839

    申请日:2024-02-21

    Applicant: Maplebear Inc.

    Inventor: Michael Montero

    Abstract: Systems and methods for scoring promotions are provided. A set of training offers are received, which include combinations of variable values. These combinations of variable values are converted into a vector value. The offers are paired and the vectors subtracted from one another, resulting in a pair vector. Metrics for the success of offers is collected, and are subtracted from one another for the paired offers to generate a raw score. This raw score is then normalized using the pair vector. The normalized scores are utilized to generate a model for the impact any variable value has on offer success, which may then be applied, using linear regression, to new offers to generate an expected level of success. The new scored offers are ranked and the top-ranked offers are selected for inclusion in a promotional campaign.

    SYSTEMS AND METHODS FOR COLLABORATIVE OFFER GENERATION

    公开(公告)号:US20240257172A1

    公开(公告)日:2024-08-01

    申请号:US18634967

    申请日:2024-04-14

    Applicant: Maplebear Inc.

    CPC classification number: G06Q30/0206 G06Q30/0211 G06Q30/0255 G06Q30/0271

    Abstract: Systems and methods for a collaborative offer portal is provided. A proposed offer is received from a manufacturer, including an offer structure and a number of consumers they wish to target. Transaction logs of a retailer are accessed to determine an audience for the offer by calculating a return on investment (ROI) for the customer base using the retailer's records given the offer type. The consumers are then grouped by their ROI distribution, and the ROI for the deal is calculated based upon the offer size in light of this distribution. From the offer ROI a discount percentage to be paid by the retailer versus the merchant can be created. The retailer may then choose to accept the offer for deployment.

    Systems and methods for collaborative offer generation

    公开(公告)号:US12014389B2

    公开(公告)日:2024-06-18

    申请号:US18182355

    申请日:2023-03-12

    Applicant: MAPLEBEAR INC.

    CPC classification number: G06Q30/0206 G06Q30/0211 G06Q30/0255 G06Q30/0271

    Abstract: Systems and methods for a collaborative offer portal is provided. A proposed offer is received from a manufacturer, including an offer structure and a number of consumers they wish to target. Transaction logs of a retailer are accessed to determine an audience for the offer by calculating a return on investment (ROI) for the customer base using the retailer's records given the offer type. The consumers are then grouped by their ROI distribution, and the ROI for the deal is calculated based upon the offer size in light of this distribution. From the offer ROI a discount percentage to be paid by the retailer versus the merchant can be created. The retailer may then choose to accept the offer for deployment.

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