METHOD AND SYSTEM FOR PROVIDING DYNAMIC CONSUMER OFFERS

• US 20140188617A1
• Filed: 12/27/2012
• Published: 07/03/2014
• Est. Priority Date: 12/27/2012
• Status: Abandoned Application

• Current Assignee: Verizon Patent and Licensing Incorporated (Verizon Communications Inc.)
• Original Assignee: Verizon Patent and Licensing Incorporated (Verizon Communications Inc.)
• Inventors: RAMAN, Madhusudan
• Application Number:
  US13/728,594
• Publication Number:
  US 20140188617A1
• Time in Patent Office: Days
• US Class Current: 705/14.58
• CPC Class Codes: G06Q 30/0207 Discounts or incentives, e.g. coupons or rebates
• CPC Class Codes: G06Q 30/0261 based on user location

Abstract

An approach for providing consumption behavior modification is described. Location information associated with a mobile device is received as part of a consumption behavior modification service. An applicable behavior modification grid tile is identified based on the location information, wherein the behavior modification grid tile is among a plurality of modification grid tiles mapping to a behavior continuum space. One of a plurality of offers designated for the identified grid is selected. An incentive message specifying a behavior modification inducement incentive is generated for transmission to the mobile device.

Claims

1. A method comprising:

determining a plurality of modification grid tiles mapping to a behavior continuum space, the behavior continuum space specifying a plurality of categorical adjacencies that include one or more gaps associated with a cost and a benefit;

receiving location information associated with a mobile device as part of a consumption behavior modification service;

identifying, by a processor, an applicable behavior modification grid tile of the plurality of modification grid tiles based on the location information;

selecting one of a plurality of offers, the one of the plurality of offers being designated for the identified applicable behavior modification grid tile; and

generating an incentive message specifying a behavior modification inducement incentive for transmission to the mobile device.

2. A method according to claim 1, wherein the behavior continuum space is predefined, the method further comprising:

transmitting the incentive message to the mobile device; and

updating a behavior trend of a user based on the behavior modification inducement incentive.

3. A method according to claim 1, further comprising:

determining a behavior propensity value relating to a probability of the mobile device to be present at a point along the behavior continuum space; and

identifying the behavior modification inducement incentive based on the determined behavior propensity value.

4. A method according to claim 1, further comprising:

authenticating the mobile device; and

registering the mobile device for the consumption behavior modification service upon the authentication of the mobile device.

5. A method according to claim 1, further comprising:

updating, in real-time, a plurality of user profiles associated with the behavior continuum space.

6. A method according to claim 5, further comprising:

associating one or more behavior modification boundary parameters with a location; and

remapping the user profiles onto the modification grid tiles.

7. A method according to claim 1, further comprising:

activating a predictive model to predict behavior propensity and to predict inducement behavior experimental choices;

determining effectiveness of the predictive model;

modifying the predictive model according to the determined effectiveness; and

deploying situational analytics instance based on the modified predictive model.

8. An apparatus comprising:

at least one processor; and

at least one memory including computer program code for one or more programs,

the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following,

determine a plurality of modification grid tiles mapping to a behavior continuum space, the behavior continuum space specifying a plurality of categorical adjacencies that include one or more gaps associated with a cost and a benefit;

receive location information associated with a mobile device as part of a consumption behavior modification service,

identify an applicable behavior modification grid tile of the plurality of modification grid tiles based on the location information,

select one of a plurality of offers, the one of the plurality of offers being designated for the identified applicable behavior modification grid tile, and

generate an incentive message specifying a behavior modification inducement incentive for transmission to the mobile device.

9. An apparatus according to claim 8, wherein the apparatus is further caused to:

transmit the incentive message to the mobile device; and

update a behavior trend of a user based on the behavior modification inducement incentive.

10. An apparatus according to claim 8, wherein the apparatus is further caused to:

determine a behavior propensity value relating to a probability of the mobile device to be present at a point along the behavior continuum space; and

identify the behavior modification inducement incentive based on the determined behavior propensity value.

11. An apparatus according to claim 8, wherein the apparatus is further caused to:

authenticate the mobile device; and

register the mobile device for the consumption behavior modification service upon the authentication of the mobile device.

12. An apparatus according to claim 8, wherein the apparatus is further caused to:

update, in real-time, a plurality of user profiles associated with the behavior continuum space.

13. An apparatus according to claim 12, wherein the apparatus is further caused to:

associate one or more behavior modification boundary parameters with a location; and

remap the user profiles onto the modification grid tiles.

14. An apparatus according to claim 8, wherein the apparatus is further caused to:

activate a predictive model to predict behavior propensity and to predict inducement behavior experimental choices;

determine effectiveness of the predictive model;

modify the predictive model according to the determined effectiveness; and

deploy situational analytics instance based on the modified predictive model.

15. A system comprising:

a behavior propensity database configured to store a behavior modification grid specifying a plurality of modification grid tiles mapping to a behavior continuum space, wherein the behavior continuum space specifies a plurality of categorical adjacencies that include one or more gaps associated with a cost and a benefit; and

a behavior modification campaign platform coupled to the behavior propensity database and configured to receive location information associated with a mobile device as part of a consumption behavior modification service, and to identify, by a processor, one of the behavior modification grid tiles based on the location information,

wherein the behavior modification campaign platform is further configured to select one of a plurality of offers, the one of the plurality of offers being designated for the identified behavior modification grid tile, and to generate an incentive message specifying a behavior modification inducement incentive for transmission to the mobile device.

16. A system according to claim 15, wherein the behavior modification campaign platform is further configured to transmit the incentive message to the mobile device, and to update a behavior trend of a user based on the behavior modification inducement incentive.

17. A system according to claim 15, wherein the behavior modification campaign platform is further configured to determine a behavior propensity value relating to a probability of the mobile device to be present at a point along the behavior continuum space, wherein the behavior modification campaign platform being further configured to identify the behavior modification inducement incentive based on the determined behavior propensity value.

18. A system according to claim 15, wherein the behavior modification campaign platform is further configured to authenticate the mobile device, and to register the mobile device for the consumption behavior modification service upon the authentication of the mobile device.

19. A system according to claim 15, wherein the behavior modification campaign platform is further configured to update, in real-time, a plurality of user profiles associated with the behavior continuum space.

20. A system according to claim 19, wherein the behavior modification campaign platform is further configured to associate one or more behavior modification boundary parameters with a location, and to remap the user profiles onto the modification grid tiles.

21. A system according to claim 15, wherein the behavior modification campaign platform is further configured to activate a predictive model to predict behavior propensity and to predict inducement behavior experimental choices;

to determine effectiveness of the predictive model;

to modify the predictive model according to the determined effectiveness; and

to deploy situational analytics instance based on the modified predictive model.