Systems and methods for recommendation of electronic offers

Abstract

A data processing system for managing electronic offers, the system comprising: a first logic module adapted to receive a set of recommendation reference data comprising a plurality of items, the plurality of items including at least one product or service, and at least one offer; a second logic module adapted to determine a set of association scores for the plurality of items based on the recommendation reference data; and a third logic module adapted to select a recommended offer based on at least one association score. In an embodiment, the recommended offer is distributed in response to a request for a receipt. In an embodiment, the recommended offer is included in a transaction receipt transmitted to a customer data processing system. In an embodiment, at least one weight is modified based on feedback from an offer redemption, an offer activation, or a purchase.

Description

BENEFIT CLAIM / RELATED APPLICATIONS[0001]This application claims the benefit under 35 U.S.C. §119(e) of Provisional Application 61 / 745,566, filed Dec. 22, 2012, and of Provisional Application 61 / 788,009, filed Mar. 15, 2013, the entire contents of each of which applications are hereby incorporated by reference for all purposes as if fully set forth herein.[0002]This application is related to: “Checkout-Based Distributed Of Digital Promotions” by Steven R. Boal, U.S. application Ser. No. 13 / 233,557, filed Sep. 15, 2011; U.S. application Ser. No. 13 / 831,716, filed Mar. 15, 2013; “Checkout-Based Distributed Of Digital Promotions” by Steven R. Boal, U.S. application Ser. No. 13 / 244,817, filed Sep. 26, 2011; “Check-Out Based Distribution And Redemption Of Digital Promotions” by Steven R. Boal, U.S. application Ser. No. 13 / 332,317, filed Dec. 20, 2011; “Automatic Recommendation of Digital Offers to an Offer Provider based on Historical Transaction Data” by Steven R. Boal, Attorney Docket N...

AI Technical Summary

Benefits of technology

This patent is for an invention that has a technical effect that is described in the applicant's claims.

Problems solved by technology

For example, an entity that sells product X may determine that it wants to market to persons that have purchased a complimentary product Y within a timeframe of Z. Of course, one problem with targeted marketing is that it is sometimes difficult to ascertain exactly what characteristics to target.

Unfortunately, it is also generally difficult to ascertain whether a given person actually has the targeted characteristics and / or how to actually reach specific persons that have those specific characteristics.

For example, a particular retailer may have no idea that a potential consumer recently purchased product Y from another store, and thus be unable to specifically target marketing for Product X to that potential consumer.

Large-scale targeted marketing is therefore typically difficult to achieve with a high degree of efficiency.

Rather, a marketing entity is typically limited to less efficient targeting techniques, such as targeting specific zip codes or web sites, thus resulting in the marketing entity wasting marketing resources on many persons who do not have the targeted characteristics.

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