Determining Metrics for Groups of Users Defined by Social Signals of a Social Networking System

• US 20140089048A1
• Filed: 09/25/2012
• Published: 03/27/2014
• Est. Priority Date: 09/25/2012
• Status: Abandoned Application

• Current Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Original Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Inventors: Bruich, Sean
• Application Number:
  US13/626,129
• Publication Number:
  US 20140089048A1
• Time in Patent Office: Days
• US Class Current: 705/7.32
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

A social networking system generates metrics for one or more groups of users defined by various social signals. A group of users may be defined by the users'"'"' observed actions in a social networking system and/or the connections between the users'"'"' and other social networking system users. Data for the group of users may be compared against data for a control group to generate metrics for the group of users.

Claims

1. A computer-implemented method comprising:

maintaining a plurality of connections in a social networking system between a plurality of users of the social networking system;

storing actions performed by the plurality of users of the social networking system on objects maintained by the social networking system;

determining a group of fans for a target brand from the plurality of users of the social networking system, the group of fans including one or more users of the social networking system who have each performed at least one action from a set of predetermined actions on one or more objects maintained by the social networking system associated with the target brand;

identifying a control group from the plurality of users of the social networking system, the control group including one or more users who have not performed at least one action from the set of predetermined actions on one or more objects maintained by the social networking system associated with the target brand;

obtaining data for users in the group of fans and data for users in the control group; and

calculating a metric for the group of fans based on a comparison between the data for users in the group of fans and the data for users in the control group.

2. The computer-implemented method of claim 1, wherein obtaining the data comprises:

providing one or more polling questions to users in the group of fans and users in the control group; and

receiving one or more answers to the polling questions from users in the group of fans and users in the control group.

3. The method of claim 1, wherein calculating the metric for the groups of fans comprises:

determining a percentage of users in the group of fans that purchased products associated with the target brand based on the data for users in the group of fans;

determining a percentage of users in the control group that purchased products associated with the target brand based on the data for users in the control group;

calculating an incremental percentage by subtracting the percentage of users in the control group that purchased products associated with the target brand from the percentage of users in the group of fans that purchased products associated with the target brand; and

calculating an incremental value for the group of fans by multiplying the incremental percentage by a number of users in the group of fans and by an average value for products purchased by the users in the group of fans.

4. The method of claim 1, wherein the metric measures an incremental value for the group of fans relative to the control group.

5. The method of claim 1, further comprising:

identifying a friends of fans (FoF) group for the target brand from the plurality of users of the social networking system, the FoF group including one or more users of the social networking system having a connection to at least one user in the group of fans;

obtaining data for users in the FoF group; and

calculating a metric for the FoF group based on a comparison of the data for users in the FoF group and data for users in the control group.

6. The method of claim 5, wherein each of the users in the FoF group have a friendship type connection to at least one user in the group of fans.

7. The method of claim 5, further comprising:

calculating an additional metric for the group of fans based on a comparison between the data for users in the group of fans and the data for users in the FoF group.

8. The method of claim 7, wherein the additional metric measures an incremental value of the group of fans relative to the FoF group.

9. The method of claim 1, wherein the at least one action from the set of predetermined actions performed on one or more objects maintained by the social networking system associated with the target brand is selected from a group consisting of:

(1) an action indicating a preference for an object associated with the target brand and (2) an action establishing a fan type connection to an object associated with the target brand.

10. The method of claim 1, further comprising:

determining a set of representative user characteristics associated with users in the group of fans based at least in part on one or more user profiles associated with the users in the group of fans, the one or more user profiles being maintained by the social networking system.

11. The method of claim 1, wherein the control group is associated with a set of user characteristics statistically similar to a set of user characteristics associated with the group of fans.

12. A computer-implemented method comprising:

maintaining a plurality of connections in a social networking system between a plurality of users of the social networking system;

storing actions performed by the plurality of users of the social networking system on one or more objects maintained by the social networking system;

determining a group of fans for a target brand from the plurality of users of the social networking system, the group of fans including one or more users of the social networking system that have performed at least one action from a set of predetermined actions on one or more objects maintained by the social networking system associated with the target brand;

generating a holdout subgroup for the group of fans including a subset of users from the group of fans;

selecting content associated with the target brand for sending to users in the group of fans;

sending the selected content associated with the target brand to users in the group of fans, wherein the sending comprises;

determining whether a user of the group of fans is in the holdout subgroup;

responsive to a determination that the user is in the holdout subgroup for the group of fans, preventing sending of the content associated with the target brand to the user;

responsive to a determination that the user is not in the holdout subgroup for the group of fans, sending the content associated with the target brand to the user;

providing one or more polling questions to users in the group of fans;

receiving answers to the polling questions from users in the group of fans; and

calculating a metric measuring an effectiveness of content associated with the target brand on the group of fans based at least in part on a comparison between (1) received answers to the polling questions from users in the holdout subgroup for the group of fans and (2) received answers to the polling questions from users of the group of fans not in the holdout subgroup for the group of fans.

13. The method of claim 12, further comprising:

identifying a friends of fans (FoF) group for the target brand from the plurality of users of the social networking system, the FoF group including one or more users of the social networking system having a connection to at least one user in the group of fans;

generating a holdout subgroup for the FoF group including a subset of users in the FoF group;

sending the selected content associated with the target brand to users in the FoF group, wherein sending the selected content to users in the FoF group comprises;

determining whether a user is in the holdout subgroup for the FoF group;

responsive to a determination that the user is in the holdout subgroup for the FoF group, preventing sending of the content associated with the target brand to the user;

responsive to a determination that the user is not in the holdout subgroup for the FoF group, sending the content associated with the target brand to the user;

providing one or more polling questions to users of the social networking system in the FoF group;

receiving answers to the polling questions from users in the FoF group; and

calculating a metric measuring an effectiveness of content associated with the target brand on the FoF group based on a comparison between (1) received answers from users in the holdout subgroup of the FoF group and (2) received answers from users of the FoF group not in the holdout subgroup of the FoF group.

14. The method of claim 12, wherein the selected content associated with the target brand comprises at least one of an advertisement associated with the target brand or a post associated with the target brand.

15. The method of claim 12, wherein sending the selected content associated with the target brand comprises:

sending a story describing a user interaction performed on an object maintained by the social networking system associated with the target brand to a particular user in the group of fans not in the holdout subgroup for the group of fans, the user interaction performed by another user connected to the particular user.

16. The method of claim 12, wherein a number of users in the holdout subgroup for the group of fans is less than or equal to one percent of a number of users in the group of fans.

17. A computer-implemented method comprising:

identifying a group of fans for a brand based on social signals associated with users of a social networking system;

identifying a group of non-fans for the brand based on social signals associated with users of the social networking system;

calculating an incremental value for the group of fans based on purchase information for the group of fans and based on purchase information for the group of non-fans;

generating a report including the incremental value for the group of fans; and

sending the report to a user.

18. The method of claim 17, wherein identifying the group of fans for the brand based on social signals associated with users of a social networking system comprises:

identifying a user of a social networking system having an affinity for the brand equaling or exceeding an affinity threshold, the affinity for the brand based at least in part on one or more actions performed by the user on one or more objects maintained by the social networking system and associated with the brand; and

including the identified user of the social networking system in the group of fans.

19. The method of claim 18, wherein an object maintained by the social networking system and associated with the brand is at least one of a fan page, an advertisement, a comment, or a post.

20. The method of claim 17, wherein identifying the group of non-fans for the brand based on social signals associated with users of the social networking system comprises:

identifying a user of the social networking system having an affinity for the brand less than an affinity threshold; and

including the identified user in the group of non-fans.

21. The method of claim 17, wherein the purchase information for the group of fans includes (1) a percentage of the group of fans that purchased one or more products associated with the brand and (2) an average per user purchase value for the one or more products.