Predicting customer lifetime value with unified customer data

    公开(公告)号:US12198072B2

    公开(公告)日:2025-01-14

    申请号:US18390803

    申请日:2023-12-20

    Applicant: AMPERITY, INC.

    Abstract: Disclosed are techniques for generating features to train a predictive model to predict a customer lifetime value or churn rate. In one embodiment, a method is disclosed comprising receiving a record that includes a plurality of fields and selecting a value associated with a selected field in the plurality of fields. The method then queries a lookup table comprising a mapping of values to aggregated statistics using the value and receives an aggregated statistic based on the querying. Next, the method generates a feature vector by annotating the record with the aggregated statistic. The method uses this feature vector as an input to a predictive model.

Patent Agency Ranking