IP Library Granted Patent US 11,810,141
Granted Patent B2
US 11,810,141 · App. 16/933,293 · Granted Nov 7, 2023

Systems and methods for distributing customizable and shareable tiered offers

Inventors: Eran Avigdor Lendner (Chicago, IL); Prashant Kumar (Palatine, IL); Mark Seth Bonchek (Weston, MA); Vanina Delobelle Chateau-Artaud (St. Charles, IL); Justin Marcus Cassey (Barrington, IL); Ilona Piwko (Des Plaines, IL)
Assignee: TRANSFORM SR BRANDS LLC
G06Q30/0214G06Q30/0224G06Q30/0239G06Q30/0251G06Q30/0255G06Q30/0267G06Q30/0269G06Q30/0276
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Quick Facts
Patent No.
US 11,810,141
App. No.
16/933,293
Granted
Nov 7, 2023
Kind
B2
Abstract

Offers are distributed by providing a plurality of offers to a first user and directing the first user to distribute the offers to selected additional users. The plurality of offers may be customized by the system based on the first user's previous interactions with the system, and may be further customized by the first user before sending the offers to the selected additional users. The additional users may include any user including known and/or unknown users and/or contact in the first's user networks including business and/or social networks. The system may also track and store information relating to the distribution, access, and redemption of the offer by the first user and the selected additional users and provide additional incentives based upon the access and redemption, and based upon interactions between the first user and the selected additional users. The system may further allow a system to distribute restricted offers to selected users, and/or allow selected users to share restricted offers with additional selected users.

Claims (48)

1. A method for distributing customized offers, wherein the method comprises:

generating, via a distributed network comprising a plurality of servers of a system, a map comprising offer distribution histories and a plurality of users receiving one or more associated offers, wherein the plurality of users are connected within the map according to a tracked social networking influence, wherein multiple servers of the distributed network are operable concurrently to execute instructions to generate the map;

selecting, via the distributed network, a first user of the plurality of users according to a purchasing history of the first user, a location of the first user, and a social networking popularity of the first user;

sending, via the distributed network, an invitation to the first user to develop a first offer for a second user;

updating a first user profile, stored in a non-transitory memory storage device accessible by the distributed network, by adding:

a connection between the first user and another user of the plurality of users,

a history of offers distributed to the first user, and

a record of interactions of the first user with the system;

presenting a graphical user interface that is configured to enable the first user to develop the first offer according to a selection of the second user, information about the second user, offer parameters based on information about the first user, and a message created by the first user, wherein the message is personalized to the second user;

distributing the first offer to the second user;

tracking, via the distributed network, the system, and the non-transitory memory storage device, a social networking influence of the first user according to an action of the second user with respect to the first offer, wherein:

the social networking influence is strong if the second user redeems the first offer,

the social networking influence is moderate if the second user accesses the first offer, and

the social networking influence is weak if the second user has no interaction with the first offer; and

distributing a second offer to the first user according to the action of the second user with respect to the first offer.

2. The method of claim 1 , wherein the selection of the first user is based on locations of social network connections of the first user.

3. The method of claim 1 , wherein the selection of the first user is based on a member profile of the first user and public information about the first user.

4. The method of claim 1 , wherein the graphical user interface is presented on a mobile device of the first user.

5. The method of claim 1 , wherein the method comprises selecting the second user based on an IP address of the first user.

6. The method of claim 1 , wherein the method comprises accessing the first offer at a retail kiosk by the second user.

7. The method of claim 1 , wherein the method comprises accessing the first offer by the second user by creating a profile in a database of the system.

8. The method of claim 1 , wherein the method comprises accessing the first offer by the second user by making a post on a social networking site.

9. The method of claim 1 , wherein the method comprises associating, with the first user, a number of times that the second user interacted with the system.

10. The method of claim 1 , wherein distributing the first offer comprises distributing from a mobile device of the first user.

11. The method of claim 1 , wherein the first offer is based on the frequency of interaction of the first user with the system and a number of social network contacts of the first user.

12. A non-transitory computer-readable medium having stored thereon instructions executable by a distributed network comprising a plurality of processing devices to cause the at least one processing device to perform steps for distributing customized offers to a plurality of user devices via a computer network, the steps comprising:

generating a map comprising offer distribution histories and a plurality of users receiving one or more associated offers, wherein the plurality of users are connected within the map according to a tracked social networking influence, wherein multiple servers of the distributed network are operable concurrently to execute instructions to generate the map;

selecting a first user of the plurality of users according to a purchasing history of the first user, a location of the first user, and a social networking popularity of the first user;

sending an invitation to a first user device of the first user to develop a first offer for a second user;

updating a first user profile, stored in a non-transitory memory storage device, by adding:

a connection between the first user and another user of the plurality of users,

a history of offers distributed to the first user, and

a record of interactions of the first user with the system;

presenting a graphical user interface that is configured to enable the first user to develop the first offer according to a selection of the second user, information about the second user, offer parameters based on information about the first user, and a message created by the first user, wherein the message is personalized to the second user;

distributing the first offer to a second user device of the second user;

tracking, via non-transitory computer-readable medium and at least one processing device, a social networking influence of the first user according to an action of the second user with respect to the first offer, wherein:

the social networking influence is strong if the second user redeems the first offer,

the social networking influence is moderate if the second user accesses the first offer, and

the social networking influence is weak if the second user has no interaction with the first offer; and

distributing a second offer to the first user device of the first user according to the action of the second user with respect to the first offer.

13. The non-transitory computer-readable medium of claim 12 , wherein the selection of the first user is based on locations of social network connections of the first user.

14. The non-transitory computer-readable medium of claim 12 , wherein the selection of the first user is based on a member profile of the first user and public information about the first user.

15. The non-transitory computer-readable medium of claim 12 , wherein the steps comprise selecting the second user based on an IP address of the first user.

16. The non-transitory computer-readable medium of claim 12 , wherein the steps comprise accessing the first offer at a retail kiosk by the second user.

17. The non-transitory computer-readable medium of claim 12 , wherein the steps comprise accessing the first offer by the second user by creating a profile in a database of the system.

18. The non-transitory computer-readable medium of claim 12 , wherein the steps comprise accessing the first offer by the second user by making a post on a social networking site.

19. The non-transitory computer-readable medium of claim 12 , wherein the steps comprise associating, with the first user, a number of times that the second user interacted with the system.

20. The non-transitory computer-readable medium of claim 12 , wherein the first offer is based on the frequency of interaction of the first user with the system and a number of social network contacts of the first user.

Assignments (3)
SECURITY INTEREST Recorded May 9, 2023
From: TRANSFORM SR BRANDS LLC
To: JPP, LLC
Reel/Frame 063578/0139 →
SECURITY INTEREST Recorded May 7, 2021
From: TRANSFORM SR BRANDS LLC
To: CANTOR FITZGERALD SECURITIES
Reel/Frame 056179/0863 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 21, 2020
From: SEARS BRANDS, L.L.C.
To: TRANSFORM SR BRANDS LLC
Reel/Frame 053261/0833 →