Unlocking editorial content

Abstract

A method, apparatus, and computer program product are disclosed to identify editorial content that is compatible with a promotion. The method includes receiving a selection of a promotion structure. The method further includes identifying editorial content that is compatible with the selected promotion structure. The promotion structure may optionally be selected from a list of promotion structures relating to a deal context. The method further includes transmitting the compatible editorial content to a user. Optionally, the method may include receiving a selection from the compatible editorial content, and transmitting a claim confirmation to a promotion and marketing service. A corresponding apparatus and computer program product are also provided.

1 - 21 . (canceled) 
     
     
         22 . A computer-implemented method for generating an intelligent editorial content suggestion set for a requested promotion, the method comprising:
 receiving a promotion structure selection;   programmatically identifying an initial editorial content set;   pruning the initial editorial content set to curate an intelligent editorial content suggestion set by removing at least one editorial content piece from the initial editorial content set,
 wherein each removed editorial content piece is programmatically determined to not be compatible with the selected promotion structure, 
 wherein the intelligent editorial content suggestion set comprises a webpage channel editorial content suggestion set configured for transmission via a webpage channel and a mobile application channel editorial content suggestion set configured for transmission via a mobile application channel, 
 wherein the webpage channel editorial content suggestion set and the mobile application channel editorial content suggestion set have the same semantic meaning, and 
 wherein the webpage channel is different from the mobile application channel; 
   verifying that the intelligent editorial content suggestion set is compatible with the selected promotion structure based on an analysis of logical metadata respectively associated with the webpage channel editorial content suggestion set, the mobile application channel editorial content suggestion set, and the selected promotion structure, wherein the logical metadata comprises one or more logical expression values; and   transmitting the intelligent editorial content suggestion set to a user.   
     
     
         23 . The computer-implemented method of  claim 22 , wherein prior to receiving the promotion structure selection, the method further comprises:
 receiving a promotion generation request for the requested promotion, wherein the requested promotion is associated with a product, service, or experience;   identifying a category associated with the product, service, or experience; and   deriving a deal context based on the received promotion generation request and identified category.   
     
     
         24 . The computer-implemented method of  claim 23 , wherein receiving the promotion structure selection comprises:
 providing a list of promotion structures related to the derived deal context, wherein the selected promotion structure is chosen from the list of promotion structures.   
     
     
         25 . The computer-implemented method of  claim 22 , wherein programmatically identifying an initial editorial content set comprises:
 accessing an editorial content database, the editorial content database comprising a plurality of editorial content pieces, each editorial content piece associated with a tag cloud of terms; and   programmatically determining one or more editorial content pieces as relevant to the requested promotion.   
     
     
         26 . The computer-implemented method of  claim 25 , wherein an editorial content piece is relevant to the requested promotion in an instance wherein the tag cloud of terms associated with the editorial content piece satisfies a predetermined similarity threshold associated with a tag cloud of terms associated with the requested promotion. 
     
     
         27 . The computer-implemented method of  claim 26 , wherein the tag cloud of terms associated with the requested promotion is based on a set of tags manually received from a merchant for the requested promotion. 
     
     
         28 . The computer-implemented method of  claim 26 , wherein the tag cloud of terms associated with the requested promotion is based on a word frequency analysis. 
     
     
         29 . The computer-implemented method of  claim 26 , wherein the tag cloud of terms associated with the requested promotion is automatically generated based on the identified category associated with the product, service, or experience of the requested promotion. 
     
     
         30 . The computer-implemented method of  claim 22 , wherein pruning the initial editorial content set to curate an intelligent editorial content suggestion set comprises:
 for each editorial content piece of the initial editorial content set, programmatically determining whether the respective editorial content piece is compatible with the selected promotion structure;   removing each editorial content piece from the initial editorial content set that is programmatically determined to not be compatible with the selected promotion structure; and   assigning to the intelligent editorial content suggestion set each editorial content piece from the initial editorial content set that is programmatically determined to be compatible with the selected promotion structure.   
     
     
         31 . The computer-implemented method of  claim 22 , wherein pruning the initial editorial content set to curate an intelligent editorial content suggestion set comprises:
 identifying one or more required attributes for each editorial content piece in the initial editorial content set;   identifying whether the selected promotion structure includes the one or more required attributes required by each editorial content piece;   programmatically determining that at least one editorial content piece of the initial editorial content set is not compatible with the selected promotion structure based on the selected promotion structure not including the respective one or more required attributes of said at least one editorial content piece; and   removing the at least one editorial content piece from the initial editorial content set.   
     
     
         32 . An apparatus for generating an intelligent editorial content suggestion set for a requested promotion, the apparatus comprising a processor and a memory, the memory storing computer program code that, when executed by the processor, causes the apparatus to:
 receive a promotion structure selection;   programmatically identify an initial editorial content set;   prune the initial editorial content set to curate an intelligent editorial content suggestion set by removing at least one editorial content piece from the initial editorial content set,
 wherein each removed editorial content piece is programmatically determined to not be compatible with the selected promotion structure, 
 wherein the intelligent editorial content suggestion set comprises a webpage channel editorial content suggestion set configured for transmission via a webpage channel and a mobile application channel editorial content suggestion set configured for transmission via a mobile application channel, 
 wherein the webpage channel editorial content suggestion set and the mobile application channel editorial content suggestion set have the same semantic meaning, and 
 wherein the webpage channel is different from the mobile application channel; 
   verify that the intelligent editorial content suggestion set is compatible with the selected promotion structure based on an analysis of logical metadata respectively associated with the webpage channel editorial content suggestion set, the mobile application channel editorial content suggestion set, and the selected promotion structure, wherein the logical metadata comprises one or more logical expression values; and   transmit the intelligent editorial content suggestion set to a user.   
     
     
         33 . The apparatus of  claim 32 , wherein the computer program code, when executed by the processor, further causes the apparatus to:
 receive a promotion generation request for the requested promotion, wherein the requested promotion is associated with a product, service, or experience;   identify a category associated with the product, service, or experience; and   derive a deal context based on the received promotion generation request and identified category.   
     
     
         34 . The apparatus of  claim 33 , wherein receiving the promotion structure selection comprises:
 providing a list of promotion structures related to the derived deal context, wherein the selected promotion structure is chosen from the list of promotion structures.   
     
     
         35 . The apparatus of  claim 32 , wherein programmatically identifying an initial editorial content set comprises:
 accessing an editorial content database, the editorial content database comprising a plurality of editorial content pieces, each editorial content piece associated with a tag cloud of terms; and   programmatically determining one or more editorial content pieces as relevant to the requested promotion.   
     
     
         36 . The apparatus of  claim 35 , wherein an editorial content piece is relevant to the requested promotion in an instance wherein the tag cloud of terms associated with the editorial content piece satisfies a predetermined similarity threshold associated with a tag cloud of terms associated with the requested promotion. 
     
     
         37 . The apparatus of  claim 36 , wherein the tag cloud of terms associated with the requested promotion is based on a set of tags manually received from a merchant for the requested promotion. 
     
     
         38 . The apparatus of  claim 36 , wherein the tag cloud of terms associated with the requested promotion is based on a word frequency analysis. 
     
     
         39 . The apparatus of  claim 36 , wherein the tag cloud of terms associated with the requested promotion is automatically generated based on the identified category associated with the product, service, or experience of the requested promotion. 
     
     
         40 . The apparatus of  claim 32 , wherein pruning the initial editorial content set to curate an intelligent editorial content suggestion set comprises:
 for each editorial content piece of the initial editorial content set, programmatically determining whether the respective editorial content piece is compatible with the selected promotion structure;   removing each editorial content piece from the initial editorial content set that is programmatically determined to not be compatible with the selected promotion structure; and   assigning to the intelligent editorial content suggestion set each editorial content piece from the initial editorial content set that is programmatically determined to be compatible with the selected promotion structure.   
     
     
         41 . The apparatus of  claim 32 , wherein pruning the initial editorial content set to curate an intelligent editorial content suggestion set comprises:
 identifying one or more required attributes for each editorial content piece in the initial editorial content set;   identifying whether the selected promotion structure includes the one or more required attributes required by each editorial content piece;   programmatically determining that at least one editorial content piece of the initial editorial content set is not compatible with the selected promotion structure based on the selected promotion structure not including the respective one or more required attributes of said at least one editorial content piece; and   removing the at least one editorial content piece from the initial editorial content set.   
     
     
         42 . A computer program product for generating an intelligent editorial content suggestion set for a requested promotion, the computer program product comprising a computer-readable storage medium storing computer program code that, when executed by an apparatus, causes the apparatus to:
 receive a promotion structure selection;   programmatically identify an initial editorial content set;   prune the initial editorial content set to curate an intelligent editorial content suggestion set by removing at least one editorial content piece from the initial editorial content set,
 wherein each removed editorial content piece is programmatically determined to not be compatible with the selected promotion structure, 
 wherein the intelligent editorial content suggestion set comprises a webpage channel editorial content suggestion set configured for transmission via a webpage channel and a mobile application channel editorial content suggestion set configured for transmission via a mobile application channel, 
 wherein the webpage channel editorial content suggestion set and the mobile application channel editorial content suggestion set have the same semantic meaning, and 
 wherein the webpage channel is different from the mobile application channel; 
   verify that the intelligent editorial content suggestion set is compatible with the selected promotion structure based on an analysis of logical metadata respectively associated with the webpage channel editorial content suggestion set, the mobile application channel editorial content suggestion set, and the selected promotion structure, wherein the logical metadata comprises one or more logical expression values; and   transmit the intelligent editorial content suggestion set to a user.