SYSTEM AND METHOD FOR USER-BASED DISCOUNT DEAL FORMATION AND ADVERTISING

• US 20120316938A1
• Filed: 05/30/2012
• Published: 12/13/2012
• Est. Priority Date: 06/09/2011
• Status: Abandoned Application

• Current Assignee: Golba LLC
• Original Assignee: Golba LLC
• Inventors: Moshfeghi, Mehran
• Application Number:
  US13/484,259
• Publication Number:
  US 20120316938A1
• Time in Patent Office: Days
• US Class Current: 705/14.16
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

A system and method is described where an advertising server targets store coupon advertisements to people carrying wireless devices. In some embodiments the advertisement server tracks the position of several of its subscribed members in an area. The server then computes statistical measures, dynamically generates nearby store discount deals that match subgroups of the members or uses pre-existing deals from nearby stores, and forwards the deal advertisements to the wireless devices of the members. The advertised deals involve one or more items from the same store or multiple items from different stores. The members then use ad-hoc networking to build spontaneous social networks, advertise the deals to nearby shoppers, and get referral rewards. The advertising server also provides a portal shopping network web site where shoppers can search for deals, post their shopping/wish lists and deal referrals, and use forums to discuss products and stores.

Claims

1. A method of deal advertising, the method comprising:

estimating locations of a plurality of mobile devices;

grouping the plurality of mobile devices into groups of mobile devices based on the estimated locations;

identifying a deal from a set of stores that are within a particular distance from each mobile device in a particular group of mobile devices, wherein the deal requires a minimum number of buyers to purchase the deal, wherein said minimum number is more than a number of mobile devices in the particular group;

based on a prior history of referrals by users of the mobile devices in the particular group, determining an estimated number of referrals that the users of the mobile devices in the particular group are going to make for the identified deal;

determining an estimated number of referrals that result in a sale based on the estimated number of referrals that the users of the mobile devices in the particular group are going to make for the identified deal; and

sending the deal to the mobile devices in the particular group when a sum of the number of mobile devices in the particular group and said estimated number of referrals that result in a sale is equal to or exceeding the minimum number of buyers required to purchase the deal.

2. The method of claim 1, wherein the identified deal comprises (i) at least one product from each store in a plurality of stores in the set of stores and (ii) an option to add one or more products from the set of stores.

3. The method of claim 1, wherein the identified deal includes at least one product from each store in a plurality of stores in the set of stores, the method further comprising:

receiving an indication that a product included in the deal is no longer available;

updating the deal to remove the product that is no longer available from the deal; and

sending the updated deal to the mobile devices in the particular group.

4. The method of claim 1, wherein the identified deal includes at least one product from each store in a plurality of stores in the set of stores, the method further comprising:

receiving an identification of a product to be added to the deal;

updating the deal to add the identified product to the deal; and

sending the updated deal to the mobile devices in the particular group.

5. The method of claim 1, wherein the set of stores consists of one store, wherein the identified deal comprises (i) one or more products from said store and (ii) an option to add other products from said store.

6. The method of claim 1, wherein identifying the deal from the set of stores comprises:

identifying a set of products from the set of stores to include in the deal; and

computing a set of statistical measures for the set of stores, the statistical measures comprising a potential collective purchasing power of the users of the mobile devices in the particular group for the identified set of products.

7. The method of claim 1, wherein identifying the deal from the set of stores comprises computing a set of statistical measures for the set of stores, the statistical measures comprising a total amount that users of the mobile devices in the particular group are likely to spend at the stores in the set of stores to buy any products.

8. The method of claim 1, wherein identifying the deal from the set of stores comprises computing a set of statistical measures for the set of stores, the statistical measures comprising at least one of (i) a number of likely buyers for each store and (ii) an average value that each user of a mobile device in the particular group of mobile devices is likely to spend at each store in the set of stores.

9. The method of claim 1, wherein the plurality of mobile devices utilize a person-to-person network for sending referrals, wherein determining the estimated number of referrals that the users of the mobile devices in the particular group are going to make comprises estimating a number of referrals made by the users of the mobile devices in the particular group to a set of mobile devices communicatively coupled to the mobile devices in the particular group through the person-to-person network.

10. The method of claim 1 further comprising utilizing a data mining server for (i) computing a set of statistical measures for the user of the mobile devices in the particular group, (ii) recommending single or multiple products for the deal, and (iii) determining a deal advertising notification method for each mobile device in the particular group.

11. The method of claim 10, wherein the advertising notification method comprises one or more of utilizing email, text message, instant message, voice message, social networking, pull-based applications, a deal server'"'"'s portal web pages, the deal server'"'"'s messaging system.

12. The method of claim 1, wherein the identified deal is a first deal, wherein the estimated number of referrals that the users of the mobile devices in the particular group are going to make for the identified deal is a first estimated number of referrals that the users of the mobile devices in the particular group are going to make for the identified deal, wherein the estimated number of referrals that result in a sale is a first estimated number of referrals that result in a sale, the method further comprising:

removing a mobile device from the particular group when a distance between the mobile device and at least one store in the set of stores exceeds a threshold;

after removing the mobile device from the particular group, determining a second estimated number of referrals that the users of the mobile devices in the particular group are going to make for the identified deal;

determining a second estimated number of referrals that result in a sale based on the second estimated number of referrals that the users of the mobile devices in the particular group are going to make for the identified deal; and

determining that the sum of a current number of mobile devices in the particular group and said second estimated number of referrals that result in a sale is less than the minimum number of buyers required to purchase the first deal; and

replacing the first deal with a second deal, wherein the sum of the current number of mobile devices in the particular group and the second estimated number of referrals that result in a sale is equal to or exceeding the minimum number of buyers required to purchase the second deal.

13. The method of claim 1, wherein the identified deal is a first deal, wherein the estimated number of referrals that the users of the mobile devices in the particular group are going to make for the identified deal is a first estimated number of referrals that the users of the mobile devices in the particular group are going to make for the identified deal, wherein the estimated number of referrals that result in a sale is a first estimated number of referrals that result in a sale, the method further comprising:

removing a mobile device from the particular group when a distance between the mobile device and at least one store in the set of stores exceeds a threshold;

after removing the mobile device from the particular group, determining a second estimated number of referrals that the users of the mobile devices in the particular group are going to make for the identified deal;

determining a second estimated number of referrals that result in a sale based on the second estimated number of referrals that the users of the mobile devices in the particular group are going to make for the identified deal; and

determining that the sum of a current number of mobile devices in the particular group and said second estimated number of referrals that result in a sale is less than the minimum number of buyers required to purchase the first deal; and

replacing the first deal with a second deal, wherein the second deal does not require a minimum number of buyers to purchase the second deal.

14. The method of claim 1, wherein grouping the plurality of mobile devices into groups of mobile devices is further based on a shopping history of the users of the mobile devices in each group, wherein the identified deal includes one or more products selected based on the shopping history of the users of the mobile devices in the particular group.

15. A machine readable medium storing a program for deal advertising, the program executable by at least one processing unit, the program comprising sets of instructions for:

estimating locations of a plurality of mobile devices;

grouping the plurality of mobile devices into groups of mobile devices based on the estimated locations;

identifying a deal from a set of stores that are within a particular distance from each mobile device in a particular group of mobile devices, wherein the deal comprises a set of products, wherein the deal requires a minimum amount of money for purchasing the set of products;

determining, based on a prior history of referrals by users of the mobile devices in the particular group, an estimated amount of money that a set of referrals are going to spend for the identified deal;

determining an estimated number of referrals that result in a sale based on the estimated number of referrals that the users of the mobile devices in the particular group are going to make for the identified deal; and

sending the deal to the mobile devices in the particular group when a sum of an estimated amount of money that the users of the mobile devices in the plurality of mobile device are going to spend for the identified deal and the estimated amount of money that a set of referrals that result in a sale are going to spend for the identified deal is equal to or exceeding the minimum amount of money required by the deal.

16. The machine readable medium of claim 15, wherein the plurality of mobile devices utilize a person-to-person network for sending referrals, wherein the set of instructions for determining an estimated amount of money that a set of referrals are going to spend for the identified deal comprises a set of instructions for estimating a number of referrals made by the users of the mobile devices in the particular group to a set of mobile devices communicatively coupled to the mobile devices in the particular group through the person-to-person network.

17. The machine readable medium of claim 15, wherein grouping the plurality of mobile devices into groups of mobile devices is further based on a shopping history of the users of the mobile devices in each group, wherein the identified deal includes one or more products selected based on the shopping history of the users of the mobile devices in the particular group.

18. The machine readable medium of claim 15, wherein the identified deal comprises (i) at least one product from each store in a plurality of stores in the set of stores and (ii) an option to add one or more products from the set of stores.

19. The machine readable medium of claim 15, wherein the identified deal includes at least one product from each store in a plurality of stores in the set of stores, wherein the program further comprises sets of instructions for:

receiving an indication at a product included in the deal is no longer available;

updating the deal to remove the product that is no longer available from the deal; and

sending the updated deal to the mobile devices in the particular group.

20. The machine readable medium of claim 15, wherein the identified deal includes at least one product from each store in a plurality of stores in the set of stores, wherein the program further comprises sets of instructions for:

receiving an identification of a product to be included in the deal;

updating the deal to add the identified product; and

sending the updated deal to the mobile devices in the particular group.

21. The machine readable medium of claim 15, wherein the program further comprises sets of instructions for sending a graphical map to each mobile device in the particular group, the graphical map identifying (i) a location of each store in the set of stores and (ii) at least one product in the deal.

22. The machine readable medium of claim 21, wherein the program further comprises sets of instructions for periodically updating the graphical map sent to each mobile device based on a current location of the mobile device.

23. The machine readable medium of claim 21, wherein the program further comprises sets of instructions for periodically updating the graphical map sent to each mobile device based on a change in the deal.

24. The machine readable medium of claim 21, wherein the graphical map sent to each particular mobile device further identifies (i) a current location of the particular mobile device and (ii) directions from the current location of the mobile device to a store offering said at least one product.

25. The machine readable medium of claim 21, the graphical map sent to each particular mobile device is further for manually navigating the map by providing address, zooming and scrolling when location tracking is disabled by a user of the particular mobile device.

26. A method of deal advertising, the method comprising:

receiving a deal for purchasing a set of products from a store, the deal requiring a minimum amount of money for purchasing the set of products;

identifying a plurality of mobile devices that are within a particular distance from the store;

based on a set of statistical measures, computing an estimated amount of money that users of the mobile devices in the plurality of mobile devices are likely to spend on the deal;

based on a prior history of referrals by the users of the mobile devices in the plurality of mobile devices, determining an estimated amount of money that a set of referrals are likely to spend on the deal; and

sending the deal to the mobile devices in the plurality of mobile devices when a sum of the estimated amount of money that the users of the mobile devices in the plurality of mobile devices are likely to spend on the deal and the estimated amount of money that the set of referrals are likely to spend on the deal is equal to or exceeding the minimum amount of money required for purchasing the set of products.

27. The method of claim 26, wherein the plurality of mobile devices utilizes a person-to-person network for sending referrals, wherein determining an estimated amount of money that a set of referrals are likely to spend on the deal comprises:

estimating a number of referrals made by the users of the mobile devices in the plurality of mobile devices to a set of mobile devices communicatively coupled to the mobile devices in the plurality of mobile devices through the person-to-person network; and

estimating a number of referrals that result in a sale through the person-to-person network based on the estimated number of referrals that the users of the mobile devices in the particular group are going to make for the identified deal through the person-to-person network;

28. The method of claim 26, wherein computing the estimated amount of money that users are likely to spend comprises utilizing users'"'"' (i) profiles, (ii) location history, (iii) usage history of prior deals, (iv) prior purchases, (v) shopping lists, and (vi) wish lists.

29. The method of claim 26, wherein a mobile device is one of a wireless phone, tablet personal computer (PC), personal digital assistant (PDA), PC laptop, personal audio device, personal video device, digital still camera, and digital video camera.