Integrating analytics data together with product data and audience data in a single design tool

Abstract

The present disclosure relates to systems, methods, and non-transitory computer readable media for generating webpage design templates based on product information, audience information, and user experience information. For example, the disclosed systems can utilize an internet-based product catalog engine to determine actual product information such as product descriptions and reviews to include within a webpage design template during the design process. The disclosed systems can further generate personalization rules to modify the appearance of a product webpage to accommodate the preferences of different audiences. In addition, the disclosed systems can generate recommendations to modify various design elements based on product information, audience information, and user experience information. Further, the disclosed systems can publish a webpage design template as a product storefront webpage accessible to end users.

What is claimed is: 
     
         1 . A computer-implemented method for generating and providing personalized webpage interfaces, the computer-implemented method comprising:
 determining, utilizing an audience manager, audience information for a user associated with a client device requesting a storefront webpage;   generating, from the audience information, personalization rules for the user associated with the client device;   generating, in response to the client device requesting the storefront webpage, a personalized storefront webpage tailored to the user in accordance with the personalization rules; and   providing the personalized storefront webpage for display on the client device.   
     
     
         2 . The computer-implemented method of  claim 1 , wherein determining the audience information comprises utilizing the audience manager to assign an audience identification to the user of the client device based on one or more of demographic information, interests, or geographic information associated with the user. 
     
     
         3 . The computer-implemented method of  claim 1 , wherein generating the personalization rules for the user comprises mapping the audience information for the user to webpage design elements that users associated with the audience information find appealing. 
     
     
         4 . The computer-implemented method of  claim 1 , wherein generating the personalized storefront webpage comprises determining, from the personalization rules, a webpage design element from among a plurality of webpage design elements to include as part of the personalized storefront webpage. 
     
     
         5 . The computer-implemented method of  claim 4 , wherein generating the personalized storefront webpage further comprises:
 modifying the webpage design element according to the personalization rules; and   including the modified webpage design element within the personalized storefront webpage for display on the client device.   
     
     
         6 . The computer-implemented method of  claim 1 , wherein generating the personalized storefront webpage comprises modifying an appearance of a webpage design element within the storefront webpage according to the personalization rules. 
     
     
         7 . The computer-implemented method of  claim 1 , further comprising determining that the client device is requesting the storefront webpage by receiving an indication of user input via the client device to view the storefront webpage. 
     
     
         8 . A non-transitory computer readable medium comprising instructions that, when executed by at least one processor, cause a computing device to:
 determine, utilizing an audience manager, audience information for a user associated with a client device;   generate, from the audience information, personalization rules for the user associated with the client device;   receive an indication of user input via the client device to view a storefront webpage comprising one or more webpage design elements from among a plurality of webpage design elements; and   in response to the indication of the user input, automatically generate a personalized storefront webpage tailored for display on the client device by:
 determining, from the personalization rules, a webpage design element from among the plurality of webpage design elements to include as part of the personalized storefront webpage; 
 modifying the webpage design element according to the personalization rules; and 
 including the modified webpage design element within the personalized storefront webpage for display on the client device. 
   
     
     
         9 . The non-transitory computer readable medium of  claim 8 , further comprising instructions that, when executed by the at least one processor, cause the computing device to determine the audience information by utilizing the audience manager to assign an audience identification to the user of the client device based on demographic information, interests, and geographic information associated with the user. 
     
     
         10 . The non-transitory computer readable medium of  claim 8 , further comprising instructions that, when executed by the at least one processor, cause the computing device to generate the personalization rules for the user by determining customizations for webpage design elements that are appealing to users corresponding to the audience information. 
     
     
         11 . The non-transitory computer readable medium of  claim 8 , wherein determining the webpage design element to include as part of the personalized storefront webpage comprises determining that the webpage design element is more appealing for users corresponding to the audience information than another webpage design element. 
     
     
         12 . The non-transitory computer readable medium of  claim 8 , further comprising instructions that, when executed by the at least one processor, cause the computing device to generate the personalization rules from user experience information in addition to the audience information. 
     
     
         13 . The non-transitory computer readable medium of  claim 12 , further comprising instructions that, when executed by the at least one processor, cause the computing device to generate the personalization rules from the user experience information by:
 determining previous interactions of users corresponding to the audience information with webpage design elements; and   generating the personalization rules to reflect preferences of the users corresponding to the audience information according to the previous interactions.   
     
     
         14 . The non-transitory computer readable medium of  claim 8 , wherein modifying the webpage design element comprises modifying an appearance of the webpage design element to increase an effectiveness of the webpage design element for the user according to the personalization rules. 
     
     
         15 . A system comprising:
 one or more memory devices comprising an audience manager and an audience information database storing audience information for one or more audiences of users that interact with storefront webpages; and   one or more computing devices that are configured to cause the system to:
 determine, utilizing the audience manager, audience information from the audience information database for a user associated with a client device; 
 generate, from the audience information, personalization rules for the user associated with the client device; 
 receive an indication of user input via the client device to view a storefront webpage comprising one or more webpage design elements from among a plurality of webpage design elements; and 
 in response to the indication of the user input, automatically generate a personalized storefront webpage tailored for display on the client device by:
 determining, from the personalization rules, a higher effectiveness for a first webpage design element from among the plurality of webpage design elements than for a second webpage design element from among the plurality of webpage design elements; and 
 selecting, according to the higher effectiveness, the first webpage design element for inclusion within the personalized storefront webpage for display on the client device. 
 
   
     
     
         16 . The system of  claim 15 , wherein determining the higher effectiveness for the first webpage design element than for the second webpage design element comprises determining that users corresponding to the audience information prefer the first webpage design element over the second webpage design element according to previous interactions of the user corresponding to the audience information. 
     
     
         17 . The system of  claim 15 , wherein the one or more computing devices are further configured to cause the system to determine the audience information by utilizing the audience manager to assign an audience identification from the audience information database to the user of the client device based on demographic information, interests, and geographic information associated with the user. 
     
     
         18 . The system of  claim 17 , wherein the one or more computing devices are further configured to cause the system to generate the personalization rules by determining webpage design element preferences of users corresponding to the audience identification from the audience information database. 
     
     
         19 . The system of  claim 15 , wherein the one or more computing devices are further configured to cause the system to determine, from the personalization rules, a modification for an appearance of the first webpage design element to increase the higher effectiveness of the first webpage design element. 
     
     
         20 . The system of  claim 19 , wherein the one or more computing devices are further configured to cause the system to modify the first webpage design element for display on the client device according to the determined modification.