Method and system for exemplary campaign message generation

Abstract

Methods and systems for improved and efficient exemplary campaign message generation are disclosed. By automating the exemplary campaign message generation process, the system can improve the selection efficiency and quality of these messages, which can be used to inspire prospective campaign generators. Furthermore, the selected exemplary messages are dynamically diversified to meet the needs of different campaign generators.

What is claimed is: 
     
         1 . A computer-implemented method of generating exemplary campaign messages, the method comprising:
 receiving, at a campaign management server, a first plurality of campaign messages from previous campaign generators;   extracting characteristics of the plurality of campaign messages;   selecting a second plurality of campaign messages from the first plurality of campaign messages based on one or more filtering rules;   segmenting the second plurality of campaign messages into campaign groups based on selected characteristics of the second plurality of campaign messages;   selecting, for each of the campaign groups, exemplary campaign messages associated with performance metrics higher than a predetermined threshold; and   displaying the exemplary campaign messages to a prospective campaign generator.   
     
     
         2 . The computer-implemented method of  claim 1 , wherein the characteristics comprise one or more performance metrics, campaign types, campaign attributes, campaign generator attributes, targeting levels, campaign timings, and campaign channels. 
     
     
         3 . The computer-implemented method of  claim 2 , wherein the campaign types are predicted by a campaign type classifier. 
     
     
         4 . The computer-implemented method of  claim 1 , further comprising:
 determining, individually, the predetermined threshold for each of the campaign groups.   
     
     
         5 . The computer-implemented method of  claim 1 , wherein the exemplary campaign messages are further associated with message diversities. 
     
     
         6 . The computer-implemented method of  claim 1 , wherein the one or more filtering rules are configured to remove non-compliant messages. 
     
     
         7 . The computer-implemented method of  claim 2 , wherein the selected characteristics for segmenting comprise the campaign types, the campaign generator attributes and the targeting levels. 
     
     
         8 . The computer-implemented method of  claim 7 , wherein the campaign generator attributes comprise industry types and sizes of the previous campaign generators. 
     
     
         9 . The computer-implemented method of  claim 1 , wherein the exemplary campaign messages are ranked in an ascending order according to the performance metrics. 
     
     
         10 . The computer-implemented method of  claim 1 , further comprising:
 removing unsupported campaign messages from the exemplary campaign messages.   
     
     
         11 . The computer-implemented method of  claim 1 , further comprising:
 enabling a manual review of the exemplary campaign messages, wherein tags can be assigned to the exemplary campaign messages.   
     
     
         12 . The computer-implemented method of  claim 1 , further comprising:
 generating images of the exemplary campaign messages for displaying to the prospective campaign generator.   
     
     
         13 . The computer-implemented method of  claim 1 , further comprising:
 initiating consent flows to obtain consent for displaying the exemplary campaign messages from the previous campaign generators.   
     
     
         14 . The computer-implemented method of  claim 1 , further comprising:
 updating, at a predetermined interval, exemplary campaign messages for each of the campaign groups; and   displaying the updated exemplary campaign messages to the prospective campaign generator.   
     
     
         15 . The computer-implemented method of  claim 1 , further comprising:
 receiving one or more sorting input from the prospective campaign generator;   generating updated exemplary campaign messages based on the one or more sorting input; and   displaying the updated exemplary campaign messages to the prospective campaign generator.   
     
     
         16 . A computer-implemented method of generating exemplary campaign messages, the method comprising:
 receiving, at a campaign management server, a first plurality of campaign messages from previous campaign generators;   selecting a second plurality of campaign messages from the first plurality of campaign messages based on one or more filtering rules;   segmenting the second plurality of campaign messages into campaign groups based on selected characteristics of the second plurality of campaign messages;   selecting, for each of the campaign groups, exemplary campaign messages; and   displaying the exemplary campaign messages to a prospective campaign generator.   
     
     
         17 . The computer-implemented method of  claim 16 , further comprising:
 extracting characteristics of the plurality of campaign messages.   
     
     
         18 . The computer-implemented method of  claim 16 , wherein the exemplary campaign messages are associated with performance metrics higher than a predetermined threshold. 
     
     
         19 . The computer-implemented method of  claim 18 , further comprising:
 determining, individually, a predetermined threshold for each of the campaign groups.   
     
     
         20 . The computer-implemented method of  claim 16 , further comprising:
 updating, at a predetermined interval, exemplary campaign messages for each of the campaign groups; and   displaying the updated exemplary campaign messages to the prospective campaign generator.