Automatic recommendation of digital offers to an offer provider based on historical transaction data

A data processing system comprising:

• one or more processors;
• a computer readable storage media coupled to the one or more processors and storing a set of historical transaction records pertaining to past consumer transactions, a set of definition data describing a plurality of contexts, and a set of offer data relating to an offer provider;
• and
• a memory coupled to the computer readable storage media and storing sequences of instructions which, when executed, cause the one or more processors to:
• correlate an event to a consumer record;
• identify a first context for the event based on the historical transaction records, wherein the first context comprises one or more purchase events at a first retailer;
• match the first context for the event to a second context of a plurality of contexts based on a set of definition data, wherein the second context is a targeted context that comprises the one or more purchase events at a second retailer, and wherein one or more offers are associated with the targeted context by the second retailer, the second retailer being different than the first retailer;
• receive a bid amount indicating how much the offer provider is willing to compensate for activating the one or more offers with the targeted context;
• automatically suggest the one or more offers associated with the targeted context to the offer provider based on a ranking of matched contexts, the bid amount, at least a subset of the historical transaction records and at least a subset of the offer data, the one or more offers being targeted at a consumer;
• automatically approve the one or more offers by the offer provider;
• in response to a request for an electronic receipt made by the consumer, cause the transmission of an electronic receipt that includes the one or more offers that are based on the ranking of matched contexts to an electronic address associated with the consumer.