Localized facility-specific presentation of digital temporary offer data

A computer-implemented method, comprising:

• by an offer server computer system:
• receiving and digitally storing a first temporary price reduction (TPR) offer dataset, a plurality of first digital image files comprising digital images of products that are identified in the TPR offer dataset, and a plurality of advertising units based on the first digital image files;
• periodically receiving a second TPR offer dataset;
• in response to the receiving, replacing the first TPR offer dataset with the second TPR offer dataset;
• receiving and digitally storing a first mapping of product codes to audience segment identifiers;
• programmatically receiving a plurality of bid requests, each of the bid requests specifying a retailer loyalty segment identifier and geo-location data;
• selecting a winning bid from among the plurality of bid requests based on programmatically mapping a target identifier, which is associated with an end user computing device that is associated with a prospective consumer, to an audience segment identifier and determining, based on the audience segment identifier, that the first TPR offer dataset comprises a particular record that includes a particular product code and a particular retailer identifier that map to the audience segment identifier, and includes an effective date value that includes a current date value corresponding to a current date, and that the particular retailer identifier corresponds to a retailer location that is within a specified geographical distance of a then-current location of the end user computing device;
• based on the winning bid request, creating and storing a digital offer dataset comprising both the first digital image file and a second digital image file that corresponds to the retailer location that is within the specified geographical distance of the then-current location of the end user computing device, and causing transmission of the digital offer dataset toward the end user computing device.

A computer-implemented method, comprising:

• by an offer server computer system:
• receiving and digitally storing a first temporary price reduction (TPR) offer dataset, a plurality of first digital image files comprising digital images of products that are identified in the first TPR offer dataset, and a plurality of advertising units based on the first digital image files, the first TPR offer dataset comprising a plurality of digital records of offers, each of the digital records comprising an association of at least location data specifying a location of a retailer, a start date value and an end date value of an effective period, a product code comprising any of UPC values or GTIN values, and a temporarily reduced price;
• periodically receiving a second TPR offer dataset;
• in response to the receiving, replacing the first TPR offer dataset with the second TPR offer dataset;
• receiving and digitally storing a first mapping of product codes to audience segment identifiers;
• programmatically receiving a plurality of bid requests, each of the bid requests specifying a retailer loyalty segment identifier and geo-location data;
• receiving device location data specifying a then-current location of the end user computing device and determining that the device location data is within a specified physical radius of a particular retailer that is identified in the first TPR offer dataset;
• selecting a winning bid from among the plurality of bid requests based on programmatically mapping a target identifier, which is associated with an end user computing device that is associated with a prospective consumer, to an audience segment identifier and determining, based on the audience segment identifier, that the first TPR offer dataset comprises a particular record that includes a particular product code and a particular retailer identifier that map to the audience segment identifier, and includes an effective date value that includes a current date value corresponding to a current date, and that the particular retailer identifier corresponds to a retailer location that is within a specified geographical distance of a then-current location of the end user computing device;
• the audience segment identifiers having been generated based on a plurality of digital data received from one or more retailers and identifying particular products that were previously purchased at points of sale in association with purchaser identifiers;
• based on the winning bid request, creating and storing a digital offer dataset comprising both the first digital image file and a second digital image file that corresponds to the retailer location that is within the specified geographical distance of the then-current location of the end user computing device, and causing transmission of the digital offer dataset toward the end user computing device.