# US 2014/0195303 A1 · Method of automated group identification based on social and behavioral information

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- Number: US 2014/0195303 A1
- Document ID: US20140195303A1
- Status: Published application
- Kind: A1
- Application number: 13/789,777
- Filed: 2013-03-08
- Published: 2014-07-10
- Earliest claimed: 2013-01-07
- Assignees: Y13 Ltd
- Applicants: Y13 Ltd
- Inventors: Steve Jarrett; Russell Bulmer
- Web page: https://patentgrep.com/patent/US20140195303A1

## CPC

- G06Q 30/0204: Market segmentation
- G06Q 10/42: Determination of affinities or common interests between users
- G06Q 10/48: using social graphs
- G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR

## Abstract

A computerized system and method of providing targeting metrics is provided in which a computer performs the steps of: providing a plurality of assigned groups; receiving information sufficient to categorize a plurality of individuals into the plurality of assigned groups; and receiving demographic, social, interest and behavioral information regarding the plurality of individuals. The computer analyzes the demographic, social, interest and behavioral information about the individuals in each of the plurality of assigned groups, and for each assigned group, extracts from the demographic, social, interest, and behavioral information common traits and behaviors of the individuals in said each assigned group. For each group, the computer determines targeting metrics based on the common traits and behaviors identified for said each assigned group.

## Claims

### Claim 1

A computerized method of providing targeting metrics, comprising, using a computer, performing the steps of:
providing a plurality of assigned groups;
receiving information sufficient to categorize a plurality of individuals into the plurality of assigned groups;
receiving demographic, social, interest and behavioral information regarding the plurality of individuals;
analyzing the demographic, social, interest and behavioral information about the individuals in each of the plurality of assigned groups, and for each assigned group, extracting from the demographic, social, interest, and behavioral information common traits and behaviors of the individuals in said each assigned group; and
for each group, determining targeting metrics based on the common traits and behaviors identified for said each assigned group.

### Claim 2 (depends on 1)

The method of claim 1, further comprising, using a computer, preforming the steps of:
receiving demographic social, interest and behavioral information regarding a plurality of additional individuals;
automatically categorizing the additional individuals into a plurality of categorization groups based on the demographic, social, interest and behavioral information of the additional individuals and the common traits and behaviors identified for said each assigned group.

### Claim 3 (depends on 2)

The method of claim 2, further comprising, using a computer, performing the steps of
receiving updated demographic social, interest and behavioral information regarding at least a subset of the plurality of additional individuals;
automatically re-categorizing the at least a subset of the additional individuals into the plurality of categorization groups based on the updated demographic, social, interest and behavioral information of the at least a subset of the additional individuals and the common traits and behaviors identified for said each assigned group, wherein said re-categorizing results in at least some of the subset of individuals changing categorization groups.

### Claim 4 (depends on 2)

The method of claim 2, further comprising, using a computer, performing the steps of
for each of the additional individuals for which the step of re-categorization resulted in a change in categorization group, automatically categorizing said each additional individual into a movement group.

### Claim 5 (depends on 4)

The method of claim 4, wherein there are a plurality of movement groups, and wherein each additional individual for which re-categorization resulted in a change in categorization group is categorized into at least one of the plurality of movement groups.

### Claim 6 (depends on 5)

The method of claim 5, wherein the plurality of movement groups include a separate movement group for individuals who have moved from categorization group X to categorization group Y.

### Claim 7 (depends on 6)

The method of claim 6, wherein the plurality of movement groups include a separate movement group for individuals who have moved from one categorization group to another categorization group.

### Claim 8 (depends on 6)

The method of claim 6, wherein the plurality of movement groups include a separate movement group for individuals who have moved from one categorization group to another categorization group and back.

### Claim 9 (depends on 5)

The method of claim 5, wherein the plurality of movement groups include a separate movement group for individuals who have moved from one categorization group to another categorization group.

### Claim 10 (depends on 5)

The method of claim 5, wherein the plurality of movement groups include a separate movement group for individuals who have moved from one categorization group to another categorization group and back.

### Claim 11 (depends on 2)

The method of claim 2, further comprising, using a computer, performing the step of generating a plurality of meta groups, each meta group being a combination of assigned groups, or a combination of categorization groups, or a combination of one or more assigned groups and one or more categorization groups.

### Claim 12 (depends on 1)

The method of claim 1, further comprising transmitting the targeting metrics to an on-line advertising system.

### Claim 13 (depends on 12)

The method of claim 12, further comprising, using the on-line advertising system, transmitting advertisements to internet users based upon the assigned groups and the common traits and behaviors of the assigned groups.

### Claim 14 (depends on 2)

The method of claim 2, further comprising, using an on-line advertising system, transmitting advertisements to internet users based upon the assigned groups, the categorization groups, and the common traits and behaviors of the assigned groups, and the common traits and behaviors of the categorization groups.

### Claim 15 (depends on 2)

The method of claim 2, further comprising, using an on-line advertising system, transmitting advertisements to internet users based upon the categorization groups and the common traits and behaviors of the categorization groups.

### Claim 16

Non-transitory computer readable medium, having stored thereon, computer executable process steps operable to control a computer to perform the steps of
receiving a plurality of assigned groups;
receiving information sufficient to categorize a plurality of individuals into the plurality of assigned groups;
receiving demographic, social, interest and behavioral information regarding the plurality of individuals;
analyzing the demographic, social, interest and behavioral information about the individuals in each of the plurality of assigned groups, and for each assigned group, extracting from the demographic, social, interest, and behavioral information common traits and behaviors of the individuals in said each assigned group;
for each group, determining targeting metrics based on the common traits and behaviors identified for said each assigned group

### Claim 17

A system, comprising,
memory containing data defining a plurality of assigned groups, said memory including computer executable process steps; and
a computer configured and arranged to execute the computer process steps to perform the steps of:
receiving information sufficient to categorize a plurality of individuals into the plurality of assigned groups;
receiving demographic, social, interest and behavioral information regarding the plurality of individuals;
analyzing the demographic, social, interest and behavioral information about the individuals in each of the plurality of assigned groups, and for each assigned group, extracting from the demographic, social, interest, and behavioral information common traits and behaviors of the individuals in said each assigned group;
for each group, determining targeting metrics based on the common traits and behaviors identified for said each assigned group