Abstract: A computer-implemented method includes dividing insurance policies into multiple policy groups based at least upon one or more characteristics of the insurance policies and/or consumers, auctioning an opportunity to reinsure at least a portion of liabilities associated with one or more of the policy groups, receiving one or more bids for purchase and/or offers of reinsurance for the policy groups, accepting a winning bid of the one or more bids, and causing reinsurance to be provided for insurance policies associated with a particular policy group corresponding to the winning bid, thereby providing lower cost reinsurance and/or reinsurance that is more reflective of actual risk associated with the policies in the particular policy group.

Abstract: A computer-implemented method includes dividing consumers into multiple affinity groups based upon characteristics and preferences of the consumers, at least by analyzing the characteristics and/or preferences using a machine learning model. The method also includes auctioning an opportunity to provide insurance for one or more of the affinity groups, receiving one or more bids for purchase and/or offers of insurance for the one or more of the affinity groups, and accepting a winning bid.