System and method for determining the value of channels

• US 10,380,612 B1
• Filed: 12/20/2016
• Issued: 08/13/2019
• Est. Priority Date: 12/20/2016
• Status: Active Grant

• Current Assignee: Kabam (Netmarble Corporation)
• Original Assignee: Kabam (Netmarble Corporation)
• Inventors: Sinnott, Brendan
• Primary Examiner(s): Miller, Alan S
• Application Number:
  US15/385,844
• Time in Patent Office: 966 Days
• Field of Search: 705 711- 742
• CPC Class Codes: G06F 8/61 Installation
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities
• CPC Class Codes: G06Q 30/0255 based on user history

Abstract

A system configured to determine the value of channels responsive to users requesting installation of a client application through the channels. The client application may provide access to an online game. A given channel may be characterized by a promotional information item, a platform through which the promotional information item is presented to potential users, and/or other information. Predicted economic values for the users that requested installation of the client application through one or more channels may be determined based parameter values for the users. Effectiveness metrics for the channels may be determined based on the predicted economic values of the users. Subsequent consideration expenditures for one or more of the channels may be recommended and/or executed based on a comparison effectiveness metrics determined.

Claims

1. A system configured to determine the value of channels responsive to users requesting installation of a client application through the channels, wherein the client application provides access to an online game, and wherein a given channel is characterized by a promotional information item and a platform through which the promotional information item is presented to potential users, the system comprising:

one or more processors configured by machine-readable instructions to;

present a first promotional item via a first platform to a first superset of users;

present a second promotional item via a second platform to a second superset of users;

obtain installation information for individual installations of the client application requested through individual ones of the channels, the installation information identifying the specific channels through which individual ones of the users requested installation of the client application such that;

first installation information identifies a first channel through which a first set of users requested installation of the client application, subsequent to presentation of the first promotional item, is obtained, the first channel being characterized by the first promotional information item and the first platform through which the first promotional information item was presented to the first set of users, wherein the first set of users is a subset of the first superset of users, and

second installation information identifies a second channel through which a second set of users requested installation of the client application, subsequent to presentation of the second promotional item, is obtained, the second channel being characterized by the second promotional information item and the second platform through which the second promotion information item was presented to the second set of users, wherein the second set of users is a subset of the second superset of users;

obtain parameter values for user parameters associated with the users that requested installation of the client application, the user parameters including demographic parameters, such that parameter values associated with the first set of users and parameter values associated with the second set of users are obtained, wherein the demographic parameters include one or more of age, sex, education level, income level, marital status, occupation, and/or religion;

determine predicted economic values of the users based on the parameter values for one or more of the demographic parameters, wherein the predicted economic values for the first set of users are determined based on the parameter values associated with the first set of users, and the predicted economic values for the second set users are determined based on the parameter values associated with the second set of users, wherein the predicted economic values of the users represents one or more of a prediction for how likely the users are to spend consideration in the online game, a prediction for how often the users are likely to spend consideration in the online game, a prediction for how much the users are likely to spend in the online game, and/or a prediction for the likely level of engagement of the users in the online game;

determine effectiveness metrics for the channels through which the users requested installation of the client application based on the predicted economic values of the users, such that a first effectiveness metric for the first channel is determined based on the predicted economic values for the first set of users that requested installation of the client application through the first channel and a second effectiveness metric for the second channel is determined based on the predicted economic values for the second set of users that requested installation of the client application through the second channel; and

recommend subsequent consideration expenditures for the first channel and/or the second channel based on a comparison of the first effectiveness metric for the first channel relative to the second effectiveness metric for the second channel.

2. The system of claim 1, wherein the user parameters further include device parameters that characterize client computing platforms on which the users install the client application.

3. The system of claim 1, wherein the one or more processors are configured by machine-readable instructions to determine the predicted economic user values prior to the users participating in gameplay in the online game.

4. The system of claim 1, wherein the one or more processors are configured by machine-readable instructions to determine the predicted economic user values prior to the users generating revenue for the game provider via purchases in the online game.

5. The system of claim 1, wherein the one or more processors are configured by machine-readable instructions to determine the predicted economic user values responsive to the users participating in gameplay in the online game for a limited period of time.

6. The system of claim 1, wherein the user parameters include one or more of location parameters, gameplay parameters, and/or time parameters.

7. The system of claim 1, wherein the first effectiveness metric for the first channel is further determined based on a comparison between the predicted economic values for the first set of users and the predicted economic values for the second set of users.

8. The system of claim 1, wherein the promotional information item includes one or more of an advertisement, an offer, and/or an endorsement related to the online game.

9. The system of claim 1, wherein the platform through which the promotional information item is presented to the potential users includes one or more of a social media platform, a game distribution platform, an email platform, a web search platform, a website platform, and/or an application platform.

10. The system of claim 1, wherein requesting installation of the client application through the channels includes one or more of directly requesting installation of the client application through a channel and/or indirectly requesting installation of the client application through the channel.

11. A system configured to determine the value of channels through which application installations are requested responsive to users requesting installation of a client application through the channels, wherein the client application provides access to an online game, and wherein a given channel is characterized by a promotional information item and a platform through which the promotional information item is presented to potential users, the system comprising:

one or more processors configured by machine-readable instructions to;

present a first promotional item via a first platform to a first superset of users;

present a second promotional item via a second platform to a second superset of users;

obtain installation information for individual installations of the client application requested through individual ones of the channels, the installation information identifying the specific channels through which individual ones of the users requested installation of the client application such that;

first installation information identifies a first channel through which a first set of users requested installation of the client application, subsequent to presentation of the first promotional item, is obtained, the first channel being characterized by the first promotional information item and the first platform through which the first promotional information item was presented to the first set of users, wherein the first set of users is a subset of the first superset of users, and

second installation information identifies a second channel through which a second set of users requested installation of the client application, subsequent to presentation of the second promotional item, is obtained, the second channel being characterized by the second promotional information item and the second platform through which the second promotion information item was presented to the second set of users, wherein the second set of users is a subset of the second superset of users;

obtain parameter values for user parameters associated with the users that requested installation of the client application, the user parameters including demographic parameters, such that parameter values associated with the first set of users and parameter values associated with the second set of users are obtained, wherein the demographic parameters include one or more of age, sex, education level, income level, marital status, occupation, and/or religion;

determine predicted economic values of the users based on the parameter values for one or more of the demographic parameters, wherein the predicted economic values for the first set of users are determined based on the parameter values associated with the first set of users, and the predicted economic values for the second set users are determined based on the parameter values associated with the second set of users, wherein the predicted economic values of the users represents one or more of a prediction for how likely the users are to spend consideration in the online game, a prediction for how often the users are likely to spend consideration in the online game, a prediction for how much the users are likely to spend in the online game, and/or a prediction for the likely level of engagement of the users in the online game;

determine effectiveness metrics for the channels through which the users requested installation of the client application based on the predicted economic values of the users, such that a first effectiveness metric for the first channel is determined based on the predicted economic values for the first set of users that requested installation of the client application through the first channel and a second effectiveness metric for the second channel is determined based on the predicted economic values for the second set of users that requested installation of the client application through the second channel; and

execute subsequent consideration expenditures for the first channel and/or the second channel based on a comparison of the first effectiveness metric for the first channel relative to the second effectiveness metric for the second channel.

12. A method configured to determine the value of channels through which application installations are requested responsive to users requesting installation of a client application through the channels, wherein the client application provides access to an online game, and wherein a given channel is characterized by a promotional information item and a platform through which the promotional information item is presented to potential users, the method being implemented in a computer system that includes one or more processors configured by machine-readable instructions, the method comprising:

presenting a first promotional item via a first platform to a first superset of users;

presenting a second promotional item via a second platform to a second superset of users;

obtaining installation information for individual installations of the client application requested through individual ones of the channels, the installation information identifying the specific channels through which individual ones of the users requested installation of the client application such that;

first installation information identifies a first channel through which a first set of users requested installation of the client application, subsequent to presentation of the first promotional item, is obtained, the first channel being characterized by a first promotional information item and a first platform through which the first promotional information item was presented to the first set of users, and

second installation information identifies a second channel through which a second set of users requested installation of the client application, subsequent to presentation of the second promotional item, is obtained, the second channel being characterized by a second promotional information item and a second platform through which the second promotion information item was presented to the second set of users;

obtaining parameter values for user parameters associated with the users that requested installation of the client application, the user parameters including demographic parameters, such that parameter values associated with the first set of users and parameter values associated with the second set of users are obtained, wherein the demographic parameters include one or more of age, sex, education level, income level, marital status, occupation, and/or religion;

determining predicted economic values of the users based on the parameter values for one or more of the demographic parameters, wherein the predicted economic values for the first set of users are determined based on the parameter values associated with the first set of users, and the predicted economic values for the second set users are determined based on the parameter values associated with the second set of users, wherein the predicted economic values of the users represents one or more of a prediction for how likely the users are to spend consideration in the online game, a prediction for how often the users are likely to spend consideration in the online game, a prediction for how much the users are likely to spend in the online game, and/or a prediction for the likely level of engagement of the users in the online game;

determining effectiveness metrics for the channels through which the users requested installation of the client application based on the predicted economic values of the users, such that a first effectiveness metric for the first channel is determined based on the predicted economic values for the first set of users that requested installation of the client application through the first channel and a second effectiveness metric for the second channel is determined based on the predicted economic values for the second set of users that requested installation of the client application through the second channel; and

recommending subsequent consideration expenditures for the first channel and/or the second channel based on a comparison of the first effectiveness metric for the first channel relative to the second effectiveness metric for the second channel.

13. The method of claim 12, wherein the user parameters further include device parameters that characterize client computing platforms on which the users install the client application.

14. The method of claim 12, further comprising determining the predicted economic user values prior to the users participating in gameplay in the online game.

15. The method of claim 12, further comprising determining the predicted economic user values prior to the users generating revenue for the game provider via purchases in the online game.

16. The method of claim 12, further comprising determining the predicted economic user values responsive to the users participating in gameplay in the online game for a limited period of time.

17. The method of claim 12, wherein the user parameters include one or more of location parameters, gameplay parameters, and/or time parameters.

18. The method of claim 12, wherein the first effectiveness metric for the first channel is further determined based on a comparison between the predicted economic values for the first set of users and the predicted economic values for the second set of users.

19. The method of claim 12, wherein the promotional information item includes one or more of an advertisement, an offer, and/or an endorsement related to the online game.

20. The method of claim 12, wherein the platform through which the promotional information item is presented to the potential users includes one or more of a social media platform, a game distribution platform, an email platform, a web search platform, a website platform, and/or an application platform.

21. The method of claim 12, wherein requesting installation of the client application through the channels includes one or more of directly requesting installation of the client application through a channel and/or indirectly requesting installation of the client application through the channel.