System and method for evaluating application errors in e-commerce applications

1. A method for evaluating e-commerce application errors comprising:

collecting error information of e-commerce application errors experienced by users of a plurality of different e-commerce applications in associated e-commerce sessions, wherein each of the errors is associated with an issue identifier and a unique error including a portion indicative of an e-commerce application of the plurality of e-commerce applications that generated the respective error, wherein the issue identifier can identify common issues across the different e-commerce applications;

for each of the errors, determining error funnel statistics for users experiencing the respective error, the error funnel statistics providing an indication of a number of users progressing to each next stage in a multi-stage commerce progress funnel of the e-commerce application associated with the respective error;

generating a user interface providing, for a respective e-commerce application of the plurality of different e-commerce application, indications of one or more of the errors associated with the respective e-commerce application and a respective estimated revenue loss resulting from each of the respective errors, the estimated revenue lost determined based on an average purchase amount for the e-commerce application and a difference between error funnel statistics for the error and average funnel progression statistics of users of the e-commerce application, wherein the indications of one or more of the errors provided in the generated user interface are presented in a ranked order based on at least an estimated time to fix the respective error; and

transmitting the generated user interface to a remote computer.

2. The method of claim 1 , wherein collecting error information comprises:

receiving and storing session information from a plurality of users, the session information of each of the plurality of users associated with the respective user's interaction with the e-commerce application and comprising error indications of one or more application errors resulting from the user's interaction with the e-commerce application, each of the one or more application errors identified by a unique error identifier.

3. The method of claim 2 , wherein the session information further comprises:

interaction indications of one or more application interactions of the e-commerce application with at least one server.

4. The method of claim 3 , further comprising:

processing session information to determine the average funnel progression statistics and the error funnel progression statistics.

5. The method of claim 1 , wherein the indications of one or more of the errors presented in the generated user interface are presented in a ranked order further based on the estimated revenue lost resulting from the respective error.

6. The method of claim 1 , wherein the error information is collected from a user's device from a data collection script embedded in the e-commerce application.

7. The method of claim 6 , further comprising:

receiving a request for the data collection script from a computing device; and

transmitting the requested data collection script to the computing device.

8. The method of claim 1 , wherein the error information is further collected from one or more servers associated with the e-commerce application.

9. The method of claim 1 , wherein session information includes information for recreating a user's view of the e-commerce session.

10. A non-volatile computer readable memory storing instructions, which when executed by a processor of a system configure the system to perform a method comprising:

collecting error information of e-commerce application errors experienced by users of a plurality of different e-commerce applications in associated e-commerce sessions, wherein each of the errors is associated with an issue identifier and a unique error including a portion indicative of an e-commerce application of the plurality of e-commerce applications that generated the respective error, wherein the issue identifier can identify common issues across the different e-commerce applications;

for each of the errors, determining error funnel statistics for users experiencing the respective error, the error funnel statistics providing an indication of a number of users progressing to each next stage in a multi-stage commerce progress funnel of the e-commerce application associated with the respective error;

generating a user interface providing, for a respective e-commerce application of the plurality of different e-commerce application, indications of one or more of the errors associated with the respective e-commerce application and a respective estimated revenue loss resulting from each of the respective errors, the estimated revenue lost determined based on an average purchase amount for the e-commerce application and a difference between error funnel statistics for the error and average funnel progression statistics of users of the e-commerce application, wherein the indications of one or more of the errors provided in the generated user interface are presented in a ranked order based on at least an estimated time to fix the respective error; and

transmitting the generated user interface to a remote computer.

11. The non-volatile computer readable memory of claim 10 , wherein collecting error information comprises:

receiving and storing session information from a plurality of users, the session information of each of the plurality of users associated with the respective user's interaction with the e-commerce application and comprising error indications of one or more application errors resulting from the user's interaction with the e-commerce application, each of the one or more application errors identified by a unique error identifier.

12. The non-volatile computer readable memory of claim 11 , wherein the session information further comprises:

interaction indications of one or more application interactions of the e-commerce application with at least one server.

13. The non-volatile computer readable memory of claim 12 , wherein the method performed by executing the stored instructions further comprises:

processing session information to determine the average funnel progression statistics and the error funnel progression statistics.

14. The non-volatile computer readable memory of claim 10 , wherein the indications of one or more of the errors presented in the generated user interface are presented in a ranked order further based on the estimated revenue lost resulting from the respective error.

15. The non-volatile computer readable memory of claim 10 , wherein the error information is collected from a user's device from a data collection script embedded in the e-commerce application.

16. The non-volatile computer readable memory of claim 15 , wherein the method performed by executing the stored instructions further comprises:

receiving a request for the data collection script from a computing device; and

transmitting the requested data collection script to the computing device.

17. The non-volatile computer readable memory of claim 10 , wherein the error information is further collected from one or more servers associated with the e-commerce application.

18. The non-volatile computer readable memory of claim 10 , wherein session information includes information for recreating a user's view of the session.

19. A system for evaluating application errors, the system comprising:

a processor for executing instructions; and

a memory storing instructions, which when executed by the processor configures the system to perform a method comprising:

collecting error information of e-commerce application errors experienced by users of a plurality of different e-commerce applications in associated e-commerce sessions, wherein each of the errors is associated with an issue identifier and a unique error including a portion indicative of an e-commerce application of the plurality of e-commerce applications that generated the respective error, wherein the issue identifier can identify common issues across the different e-commerce applications;

for each of the errors, determining error funnel statistics for users experiencing the respective error, the error funnel statistics providing an indication of a number of users progressing to each next stage in a multi-stage commerce progress funnel of the e-commerce application associated with the respective error;

generating a user interface providing, for a respective e-commerce application of the plurality of different e-commerce application, indications of one or more of the errors associated with the respective e-commerce application and a respective estimated revenue loss resulting from each of the respective errors, the estimated revenue lost determined based on an average purchase amount for the e-commerce application and a difference between error funnel statistics for the error and average funnel progression statistics of users of the e-commerce application, wherein the indications of one or more of the errors provided in the generated user interface are presented in a ranked order based on at least an estimated time to fix the respective error; and

transmitting the generated user interface to a remote computer.