Methods and system for analyzing multichannel electronic communication data
A method and system for analyzing electronic communication data is provided. In one embodiment, a method includes receiving electronic customer communication data by a contact center, analyzing the electronic customer communication data by applying a predetermined linguistic-based psychological behavioral model to the electronic customer communication data, and generating behavioral assessment data by the contact center based on said analyzing, the behavioral assessment data providing a personality type for the analyzed electronic customer communication data. In one or more embodiments, electronic customer communication data may be one or more of electronic-mail data, web content data, text message data, voice over IP data, online forum data, social media data, update status, media feed, social media review, social media data stream. In other embodiments, electronic customer communication data may include data received during a customer communication with a graphical user interface for the contact center.
1. A method for analyzing electronic customer communication data and generating behavioral assessment data, the method comprising the acts of:
receiving electronic customer communication data by a contact center;
determining customer identification data associated with the electronic customer communication data by the contact center;
aggregating electronic customer communication data by customer category from one or more sources based on identification of a customer from the electronic customer communication data;
analyzing the aggregated electronic customer communication data by applying a predetermined linguistic-based psychological behavioral model to the electronic customer communication data;
generating behavioral assessment data by the contact center based on said analyzing, the behavioral assessment data providing a personality type for the analyzed electronic customer communication data; and
displaying instructions to a contact center agent via a reporting engine, wherein the instructions are based on the generated behavioral assessment data.
2. The method of claim 1 , wherein the electronic customer communication data is at least one of electronic-mail data, web content data, text message data, voice over IP data, and online forum data.
3. The method of claim 1 , wherein the electronic customer communication data is social media data, update status, media feed, social media review, and a social media data stream.
4. The method of claim 1 , wherein the electronic customer communication data is data provided by a customer during communication with the contact center and is associated with one or more of a pop-up window message, computer display, application window, and graphical user interface for the contact center.
5. The method of claim 1 , wherein the analyzing includes identifying the type of electronic customer communication data, and wherein the analyzing is based on the type of electronic communication data.
6. The method of claim 1 , wherein analyzing includes determining identifying indicia of a customer and a behavioral signifier in the electronic customer data.
7. The method of claim 1 , wherein analyzing includes determining a customer activity associated with the contact center based on the electronic customer communication data.
8. The method of claim 1 , further comprising storing the behavioral assessment data, wherein the behavioral assessment data includes identifying indicia associated with a customer.
9. The method of claim 1 , further comprising automatically generating responsive electronic communication to the electronic customer communication data.
10. The method of claim 1 , further comprising: generating a text file from the aggregated electronic customer communication data for the behavioral assessment data.
11. A computer program product stored on a non-transitory computer readable medium including computer executable code for analyzing electronic customer communication data and generating behavioral assessment data, the computer program product comprising:
computer readable code to receive electronic customer communication data by a contact center;
computer readable code to determine customer identification data associated with the electronic customer communication data by the contact center;
computer readable code to aggregate electronic customer communication data by customer category from one or more sources based on identification of a customer from the electronic customer communication data;
computer readable code to analyze the aggregated electronic customer communication data by applying a predetermined linguistic-based psychological behavioral model to the electronic customer communication data;
computer readable code to generate behavioral assessment data by the contact center based on said analyzing, the behavioral assessment data providing a personality type for the analyzed electronic customer communication data; and
computer readable code to display instructions to a contact center agent via reporting engine, wherein the instructions are based on the generated behavioral assessment data.
12. The computer program product of claim 11 , wherein the electronic customer communication data is at least one of electronic-mail data, web content data, text message data, voice over IP data, and online forum data.
13. The computer program product of claim 11 , wherein the electronic customer communication data is social media data, update status, media feed, social media review, and a social media data stream.
14. The computer program product of claim 11 , wherein the electronic customer communication data is data provided by a customer during communication with the contact center and is associated with one or more of a pop-up window message, computer display, application window, and graphical user interface for the contact center.
15. The computer program product of claim 11 , wherein analyzing includes identifying the type of electronic communication data, and wherein the analyzing is based on the type of electronic customer communication data.
16. The computer program product of claim 11 , wherein analyzing includes determining identifying indicia of a customer and a behavioral signifier in the electronic customer data.
17. The computer program product of claim 11 , wherein analyzing includes determining a customer activity associated with the contact center based on the electronic customer communication data.
18. The computer program product of claim 11 , further comprising computer readable code to store the behavioral assessment data, wherein the behavioral assessment data includes identifying indicia associated with a customer.
19. The computer program product of claim 11 , further comprising computer readable code to automatically generate responsive electronic communication to the electronic customer communication data.
20. The computer program product of claim 11 , further comprising:
computer readable code to generate a text file from the aggregated electronic customer communication data for the behavioral assessment data.
21. A method for analyzing electronic customer communication data and generating behavioral assessment data, the method comprising the acts of:
receiving electronic customer communication data by a contact center;
determining customer identification data associated with the electronic customer communication data by the contact center;
aggregating electronic customer communication data by customer category from one or more sources based on identification of a customer from the electronic customer communication data;
analyzing the aggregated electronic customer communication data by applying a predetermined linguistic-based psychological behavioral model to the electronic customer communication data, wherein the analyzing includes identifying the type of electronic customer communication data, and wherein the analyzing is based on the type of electronic customer communication data;
generating behavioral assessment data by the contact center based on said analyzing, the behavioral assessment data providing a personality type for analyzed electronic customer communication data; and
displaying instructions to a contact center agent via a reporting engine, wherein the instructions are based on the generated behavioral assessment data.
22. The method of claim 21 , wherein the electronic customer communication data is at least one of electronic-mail data, web content data, text message data, voice over IP data, and online forum data.
23. The method of claim 21 , wherein the electronic customer communication data is social media data, update status, media feed, social media review, and a social media data stream.
24. The method of claim 21 , wherein the electronic customer communication data is data provided by a customer during communication with the contact center and is associated with one or more of a pop-up window message, computer display, application window, and graphical user interface for the contact center.
25. The method of claim 21 , wherein analyzing includes determining a behavioral signifier in the electronic customer data.
26. The method of claim 21 , wherein analyzing includes determining a customer activity type associated with the contact center based on the electronic customer communication data.
27. The method of claim 21 , further comprising storing the behavioral assessment data, wherein the behavioral assessment data includes customer identification data.
28. The method of claim 1 , further comprising providing a notification of the behavioral assessment data to the agent.
29. The computer program product of claim 11 , further comprising computer readable code that uses the behavioral assessment data to monitor effectiveness of the agent, contact center, or both.
30. The method of claim 21 , further comprising using the behavioral assessment data to provide output data characterizing one or more of customer satisfaction, ability to correct customer needs, and improvements to customer service.