Systems and methods for customized real time data delivery

Abstract

The systems, methods and computer program products (collectively “system”) described herein relate to customized real time data delivery. The system may be configured to receive, by a performance marketing cluster, first data from a first data source. The system may also receive, by the performance marketing cluster, second data from a second data source. The system may determine, by the marketing cluster, an analysis scheme for the first data and the second data based on the first data source. The system may also determine, by the marketing cluster, at least one of a propensity to act or a recommendation selected from a predefined number of available options for a population based on the analysis scheme and the first data source.

What is claimed is: 
     
         1 . A method, comprising:
 receiving, by a performance marketing cluster, first data from a first data source,
 wherein the first data is at least one of customer data representative of a plurality of customers in response to the first data source being an advertising facilitator, a plurality of offers in response to the first data source being a merchant, or at least one of a plurality of items or a plurality of merchants in response to the first data source being a recommender service; 
   receiving, by the marketing cluster, second data from a second data source,
 wherein the second data includes spend level data; 
   determining, by the marketing cluster, an analysis scheme for the first data and the second data based on the first data source; and   determining, by the marketing cluster, at least one of a propensity to act or a recommendation selected from a predefined number of available options for a population based on the analysis scheme and the first data source,
 wherein the population includes a first member associated with the first data source, a second member associated with the second data source and a third member that is not associated with either the first data source or the second data source. 
   
     
     
         2 . The method of  claim 1 , wherein the marketing cluster comprises a plurality of computers arranged for parallel processing. 
     
     
         3 . The method of  claim 1 , wherein the second data source is a transaction processor. 
     
     
         4 . The method of  claim 3 , wherein the transaction processor is at least one of a transaction account issuer and an acquirer. 
     
     
         5 . The method of  claim 1 , wherein the second data is transaction information from a transaction processor. 
     
     
         6 . The method of  claim 5 , wherein the transaction information includes purchase data for items. 
     
     
         7 . The method of  claim 1 , wherein the first data is free of personally identifying information. 
     
     
         8 . The method of  claim 1 , wherein the second data is free of personally identifying information. 
     
     
         9 . The method of  claim 1 , further comprising, receiving, by the performance marketing cluster, third data from a third data source. 
     
     
         10 . The method of  claim 9 , wherein the third data source is a data aggregator. 
     
     
         11 . The method of  claim 9 , wherein the analysis scheme comprises a first portion and a second portion. 
     
     
         12 . The method of  claim 11 , wherein the second portion includes adjusting the at least one of the propensity to act and the recommendation for the population based on the third data. 
     
     
         13 . The method of  claim 1 , wherein the propensity to act is a score that is used to inform a recommendation. 
     
     
         14 . A non-transitory computer program product having computer-executable instructions stored thereon that, if executed by a performance marketing cluster, causes the marketing cluster to be capable of performing operations comprising:
 receiving, by the marketing cluster, first data from a first data source,
 wherein the first data is at least one of customer data representative of a plurality of customers in response to the first data source being an advertising facilitator, a plurality of offers in response to the first data source being a merchant, or at least one of a plurality of items or a plurality of merchants in response to the first data source being a recommender service; 
   receiving, by the marketing cluster, second data from a second data source,
 wherein the second data includes spend level data; 
   determining, by the marketing cluster, an analysis scheme for the first data and the second data based on the first data source; and   determining, by the marketing cluster, at least one of a propensity to act or a recommendation selected from a predefined number of available options for a population based on the analysis scheme and the first data source,
 wherein the population includes a first member associated with the first data source, a second member associated with the second data source and a third member that is not associated with either the first data source or the second data source. 
   
     
     
         15 . The article of  claim 14 , wherein the marketing cluster comprises a plurality of computers arranged for parallel processing. 
     
     
         16 . The article of  claim 14 , wherein the second data source is a transaction processor. 
     
     
         17 . The article of  claim 14 , wherein the transaction processor is at least one of a transaction account issuer and an acquirer. 
     
     
         18 . A performance marketing cluster, comprising:
 a processor;   a non-transitory memory configured to communicate with the processor, the non-transitory memory having instructions stored thereon;   receiving, by the processor, first data from a first data source,
 wherein the first data is at least one of customer data representative of a plurality of customers in response to the first data source being an advertising facilitator, a plurality of offers in response to the first data source being a merchant, or at least one of a plurality of items or a plurality of merchants in response to the first data source being a recommender service; 
   receiving, by the processor, second data from a second data source,
 wherein the second data includes spend level data; 
   determining, by the processor, an analysis scheme for the first data and the second data based on the first data source; and   determining, by the processor, at least one of a propensity to act or a recommendation selected from a predefined number of available options for a population based on the analysis scheme and the first data source,
 wherein the population includes a first member associated with the first data source, a second member associated with the second data source and a third member that is not associated with either the first data source or the second data source. 
   
     
     
         19 . The marketing cluster of  claim 18 , wherein the marketing cluster comprises a plurality of computers arranged for parallel processing. 
     
     
         20 . The marketing cluster of  claim 19 , wherein the second data source is a transaction processor and wherein the transaction processor is at least one of a transaction account issuer and an acquirer.