Cloud-Based Custom Metric/Timer Definitions and Real-Time Analytics of Mobile Applications

Abstract

A method for real-time capture of analytics from real users of a native mobile application (app) includes storing a custom metric/timer definition for a native mobile application (app) in a configuration file on a server. The custom metric/timer definition includes one or more identifiers of an element or object of the native mobile app selected by touch gesture input via a user interface on a mobile device running the native mobile app in a special mode. The configuration file is downloaded from the server to real users running the native mobile app on associated mobile devices. Immediately thereafter, one or more collector servers receive data beaconed in real-time from the associated mobile devices of the real users. The beaconed data includes custom metric/timer data obtained from the custom metric/timer definition.

1 . A computer-implemented method for real-time capture of analytics from real users of a native mobile application (app) comprising:
 storing a custom metric/timer definition for the native mobile app in a configuration file on a server, the custom metric/timer definition including one or more identifiers of an element or object of the native mobile app selected by touch gesture input via a user interface on a mobile device running the native mobile app in a special mode;   sending the configuration file from the server to the one or more collector servers;   downloading the configuration file from the one or more collector servers to mobile devices running the native mobile app, the mobile devices being associated with real users; and   receiving, at one or more collector servers, data beaconed in real-time from the associated mobile devices of the real users, the beaconed data including custom metric/timer data obtained from the custom metric/timer definition, the downloading and receiving occurring without any change to the native mobile app.   
     
     
         2 . (canceled) 
     
     
         3 . The computer-implemented method of  claim 1  wherein each polling request is sent on a periodic basis. 
     
     
         4 . The computer-implemented method of  claim 1  further comprising launching a configuration user interface (UI) for the native mobile app on a computing device, the configuration UI allowing a business user to select a session for defining the custom metric/timer definition via the touch gesture input. 
     
     
         5 . The computer-implemented method of  claim 4  wherein the mobile device is associated with a business user, and further comprising launching, responsive to the session selection, a device agent which runs the native mobile app in the special mode on the mobile device, the device agent allowing the business user to use the touch gesture input to select the one or more identifiers of the element or object in the native mobile app which appears on a touch screen of he mobile device. 
     
     
         6 . The computer-implemented method of  claim 1  wherein the custom metric/timer data comprises metric data obtained responsive to an action input received on the associated mobile device of the real user. 
     
     
         7 . The computer-implemented method of  claim 1  wherein the custom metric/timer data comprises metric data obtained responsive to a conditional change in an application state of the native mobile app. 
     
     
         8 . The computer-implemented method of  claim 1  wherein the custom metric/timer data comprises timer data obtained responsive to start timer and stop timer criteria. 
     
     
         9 . The computer-implemented method of  claim 1  further comprising aggregating the data received at one or more collector servers in a database accessible to a computer that generates a real-time analytic dashboard that includes one or more visual indicators representative of the custom metric/timer data obtained. 
     
     
         10 . The computer-implemented method of  claim 8  wherein the one or more visual indicators comprises an intersection of a business metric and a performance metric collected in real-time from all of the real users currently running the native mobile app. 
     
     
         11 . The computer-implemented method of  claim 9  wherein the intersection includes a graphical chart of bounce rate as a function of load time. 
     
     
         12 . A non-transitory computer-readable storage medium encoded with computer instructions, which, when executed by one or more processors, operable to:
 store a custom metric/timer definition for a native mobile application (app) in a configuration file on a server, the custom metric/timer definition including one or more identifiers of an element or object of the native mobile app selected by touch gesture input via a user interface on a mobile device running the native mobile app in a special mode;   send the configuration file from the server to the one or more collector servers;   download the configuration file from the one or more collector servers to mobile devices running the native mobile app, the mobile devices being associated with real users; and   receive, at one or more collector servers, data beaconed in real-time from the associated mobile devices of the real users, the beaconed data including custom metric/timer data obtained from the custom metric/timer definition, the downloading and receiving occurring without any change to the native mobile app.   
     
     
         13 . (canceled) 
     
     
         14 . The non-transitory computer-readable storage medium of  claim 12  wherein each polling request is sent on a periodic basis. 
     
     
         15 . The non-transitory computer-readable storage medium of  claim 12  wherein execution of the computer instructions is further operable to launch a configuration user interface (UI) for the native mobile app on a computing device, the configuration UI allowing a business user to select a session for defining the custom metric/timer definition via the touch gesture input. 
     
     
         16 . The non-transitory computer-readable storage medium of  claim 15  wherein execution of the computer instructions is further operable to launch, responsive to the session selection, a device agent which runs the native mobile pp in the special mode on the mobile device, the device agent allowing the business user to use the touch gesture input to select the one or more identifiers of the element or object in the native mobile app which appears on a touch screen of the mobile device. 
     
     
         17 . The non-transitory computer-readable storage medium of  claim 12  wherein the custom metric/timer data is obtained responsive to an action input received on the associated mobile device of the real user. 
     
     
         18 . The non-transitory computer-readable storage medium of  claim 12  wherein the custom metric/timer data is obtained responsive to a conditional change in an application state of the native mobile app. 
     
     
         19 . The non-transitory computer-readable storage medium of  claim 12  wherein the custom metric/timer data comprises timer data obtained responsive to start timer and stop timer criteria. 
     
     
         20 . The non-transitory computer-readable storage medium of  claim 12  wherein execution of the computer instructions is further operable to aggregate the data received at one or more collector servers in a database accessible to a computer that generates a real-time analytic dashboard that includes one or more visual indicators representative of the custom metric/timer data obtained. 
     
     
         21 . The non-transitory computer-readable storage medium of  claim 20  wherein the one or more visual indicators comprises an intersection of a business metric and a performance metric collected in real-time from all of the real users currently running the native mobile app. 
     
     
         22 . The non-transitory computer-readable storage medium of  claim 21  wherein the intersection includes a graphical chart of bounce rate as a function of load time.