PERMISSIONED USE PREDICTIVE INTERACTIONS

• US 20130211911A1
• Filed: 02/11/2013
• Published: 08/15/2013
• Est. Priority Date: 02/09/2012
• Status: Abandoned Application

• Current Assignee: Double Check Solutions LLC
• Original Assignee: Double Check Solutions LLC
• Inventors: Krietzman, Mark
• Application Number:
  US13/763,737
• Publication Number:
  US 20130211911A1
• Time in Patent Office: Days
• US Class Current: 705/14.53
• CPC Class Codes: G06Q 30/0255 based on user history

Abstract

Competition for Consumers in the marketplace is a billion dollar industry. Retention and acquisition of customers is important for many financial services entities. Disclosed herein is a system and method for a specific source to be permitted by a specific User to utilize computing devices and servers to acquire, parse, analyze and otherwise D-INE™ “data mine with permission” User Records which have been previously acquired and/or mined by third parties. Alpha Source in some instances applying its schemas to said User records utilizes its analysis to provided predictive information and offers to said User.

Claims

1. A method of predictive Alpha Source product offerings, the method comprising:

a verified User connects with Alpha Source server;

user'"'"'s Computing Devices interfaces with Alpha Source servers and create a Target List identifying User accounts at non Alpha Source;

User supplies or verifies account information to give Alpha Source access to User Records or to allow Alpha Source to request User Records from Targets;

Alpha Source, with express permission from User analyzes and filters obtained Records via rules and decsioning engines, software and algorithms;

User activity records are identified;

User Activity records are parsed into at least habit records and spending action records; and

,

predictive models and analytics are applied to User Activity records to identify offers likely to be predictive of User wants, needs and likes.

2. The method of claim 1 the method further comprising if predictive then provide market information to User.

3. The method of claim 2 the method further comprising creating a database entry with the analytics that resulted in the determination of predictive.

4. The method of claim 2 the method further comprising creating a database entry with the analytics that resulted in the determination of not predictive.

5. The method of claim 1 wherein creating the target list may include confirming, adding to, editing and deleting Alpha Source suggestions.

6. The method of claim 1 wherein in creating the target Alpha Source may obtain permission from User to obtain and use User credit report data to suggest Sources 1 . . . N to add to Target list.

7. The method of claim 2 the method further comprising determining if User acted on predictive information provided to User by Alpha Source on a activity or purchase.

8. A method of predictive Alpha Source product offerings, the method comprising:

a verified User connects with Alpha Source server;

user'"'"'s Computing Devices interfaces with Alpha Source servers and create a Target List identifying User accounts at non Alpha Source.

User supplies or verifies account information to give Alpha Source access to User Records or to allow Alpha Source to request User Records from Targets;

Alpha Source, with express permission from User analyzes and filters obtained Records via rules and decsioning engines, software and algorithms;

User activity records are identified;

User Activity records are parsed into at least habit records and spending action records; and

,

predictive models and analytics are applied to User Activity records to identify offers likely to be predictive or fit User wants, needs and likes.

9. The method of claim 8 the method further comprising if predictive then provide market information to User.

10. The method of claim 9 the method further comprising creating a database entry with the analytics that resulted in the determination of predictive.

11. The method of claim 9 the method further comprising creating a database entry with the analytics that resulted in the determination of not predictive.

12. The method of claim 8 the method further comprising identifying if User acted on offer provided to User by Alpha Source on an activity or purchase.

13. A method of predictive analytics, the method comprising:

an Alpha Source with user express permissions accesses User records from Targets;

Alpha Source analyzes and filters obtained records via rules and decsioning engines, software and algorithms;

User Activity records are parsed into at least habit records and spending action records; and

,

predictive models and analytics are applied to one of User spending actions and habits to identify offers likely to be predictive or fit User wants, needs and likes.

14. The method of claim 13 the method further comprising analyzing if User acted on offer provided to User by Alpha Source on an activity or purchase.