Mobile application optimization platform

• US 10,437,709 B2
• Filed: 09/26/2016
• Issued: 10/08/2019
• Est. Priority Date: 07/17/2013
• Status: Active Grant

• Current Assignee: Accenture Global Services Limited (Accenture PLC)
• Original Assignee: Accenture Global Services Limited (Accenture PLC)
• Inventors: Williams, Murray
• Primary Examiner(s): Sough, S.
• Assistant Examiner(s): Duncan, Timothy P
• Application Number:
  US15/275,523
• Publication Number:
  US 20170010954A1
• Time in Patent Office: 1,107 Days
• CPC Class Codes: G06F 11/3668 Software testing software testing in telephone exchanges H04M3/242, testing of hardware G06F11/22
• CPC Class Codes: G06F 8/70 Software maintenance or management
• CPC Class Codes: G06F 8/71 Version control security arrangements therefor G06F21/57; Configuration management
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 30/0241 Advertisements
• CPC Class Codes: G06Q 30/0246 Traffic
• CPC Class Codes: G06Q 30/0635 Processing of requisition or of purchase orders

Abstract

A device may receive configuration information for an experiment associated with optimizing an application. The configuration information may identify a group of experimental treatments and information identifying a target event. The device may identify an experimental treatment to be implemented in the application, and may implement the experimental treatment in the application. The device may collect response information based on implementing the experimental treatment. The device may detect the target event associated with the experiment, indicating that the response information is to be provided to an experiment server. The device may determine that the experiment server is unreachable and may store the response information. The response information may be stored to allow the response information to be provided to the experiment server at a later time. The response information may be provided to the experiment server to permit the experiment server to determine a result of the experiment.

Claims

1. A method, comprising:

assigning, by a server, an experimental treatment, of one or more experimental treatments, to a first device;

receiving, by the server, response information associated with the experimental treatment based on the first device executing an application and implementing the experimental treatment,

the response information being received by the server from the first device and an application server,

at least a portion of the response information being collected by the application server based on the application being used by a user of the first device, and

the response information including at least one of;

information regarding an amount of time Hall the user used the application, or

information regarding a search performed via the application;

determining, by the server and based on the response information, that the experimental treatment, of the one or more experimental treatments, is an optimal treatment for an occurrence of a target event; and

providing, by the server, a result that identifies the experimental treatment as the optimal treatment.

2. The method of claim 1, further comprising:

identifying the experimental treatment based on configuration information stored by the server,

where assigning the experimental treatment to the first device comprises;

assigning the experimental treatment to the first device based on identifying the experimental treatment.

3. The method of claim 1, further comprising:

receiving information that identifies the experimental treatment selected by the first device, and

determining that the experimental treatment is implemented by the first device based on receiving the information.

4. The method of claim 1, further comprising:

performing a statistical analysis of the response information based on receiving the response information,

where determining that the experimental treatment is the optimal treatment for the occurrence of the target event comprises;

determining, based on performing the statistical analysis, a probability that the experimental treatment results in the occurrence of the target event.

5. The method of claim 1, where the target event comprises one of:

a purchase being completed using the application,

an interaction occurring with a particular user interface element via the application, or

a service being signed up for using the application.

6. The method of claim 1, further comprising:

determining a weight factor associated with the target event,

where determining that the experimental treatment is the optimal treatment comprises;

determining that the experimental treatment is the optimal treatment based on the weight factor associated with the target event.

7. The method of claim 1, where providing the result comprises:

providing the result to a second device to permit the second device to provide information associated with the result via a display device associated with the second device.

8. A first device, comprising:

a memory; and

one or more processors to;

assign an experimental treatment, of a plurality of experimental treatments, to a second device of a plurality of second devices;

receive response information associated with the experimental treatment based on the second device executing an application and implementing the experimental treatment,

the response information being received by the first device from the second device and an application server,

at least a portion of the response information being collected by the application server based on the application being used by a user of the second device, and

the response information including at least one of;

information regarding an amount of time Hall the user used the application, or

information regarding a search performed via the application;

determine, based on the response information, that the experimental treatment, of the plurality of experimental treatments, is an optimal treatment for an occurrence of a target event; and

provide a result that identifies the experimental treatment as the optimal treatment.

9. The first device of claim 8, where the one or more processors are further to:

perform a statistical analysis of the response information based on receiving the response information,

a result of the statistical analysis to be used to determine that the experimental treatment is the optimal treatment.

10. The first device of claim 8, where the one or more processors are further to:

cause the optimal treatment, identified by the result, to be implemented in the second device.

11. The first device of claim 8, where the one or more processors are further to:

cause the optimal treatment, identified by the result, to be implemented in a subset of the plurality of second devices.

12. The first device of claim 8, where the one or more processors are further to:

identify the experimental treatment based on configuration information stored by the first device; and

where the one or more processors, when assigning the experimental treatment to the second device, are to;

assign the experimental treatment to the second device based on identifying the experimental treatment.

13. The first device of claim 8, where the one or more processors are further to:

receive information that identifies the experimental treatment selected by the second device; and

determine that the experimental treatment is implemented by the second device based on receiving the information.

14. The first device of claim 8, where the one or more processors are further to:

perform a statistical analysis of the response information based on receiving the response information; and

where the one or more processors, when determining that the experimental treatment is the optimal treatment for the occurrence of the target event, are to;

determine, based on performing the statistical analysis, a probability that the experimental treatment results in the occurrence of the target event.

15. A non-transitory computer-readable medium storing instructions, the instructions comprising:

one or more instructions that, when executed by one or more processors, cause the one or more processors to;

assign an experimental treatment to a first device of a plurality of first devices,

receive response information associated with the experimental treatment based on the first device executing an application and implementing the experimental treatment,

the response information being received by the one or more processors from the first device and an application server,

at least a portion of the response information being collected by the application server based on the application being used by a user of the first device, and

the response information including at least one of;

information regarding an amount of time Hall the user used the application, or

information regarding a search performed via the application,

determine, based on the response information, that the experimental treatment is an optimal treatment for an occurrence of a target event, and

provide a result that identifies the experimental treatment as the optimal treatment.

16. The non-transitory computer-readable medium of claim 15, where the one or more instructions, when executed by the one or more processors, further cause the one or more processors to:

determine a weight factor associated with the target event; and

where the one or more instructions, that cause the one or more processors to determine that the experimental treatment is the optimal treatment, cause the one or more processors to;

determine that the experimental treatment is the optimal treatment based on the weight factor associated with the target event.

17. The non-transitory computer-readable medium of claim 15, where the one or more instructions, that cause the one or more processors to receive the response information, cause the one or more processors to:

provide the result to a second device to permit the second device to provide information associated with the result via a display device associated with the second device.

18. The non-transitory computer-readable medium of claim 15, where the one or more instructions, when executed by the one or more processors, further cause the one or more processors to:

perform a statistical analysis of the response information based on receiving the response information,

a result of the statistical analysis to be used to determine that the experimental treatment is the optimal treatment.

19. The non-transitory computer-readable medium of claim 15, where the one or more instructions, when executed by the one or more processors, further cause the one or more processors to:

cause the optimal treatment, identified by the result, to be implemented in the first device.

20. The non-transitory computer-readable medium of claim 15, where the one or more instructions, when executed by the one or more processors, further cause the one or more processors to:

cause the optimal treatment, identified by the result, to be implemented in a subset of the plurality of first devices.