Generating a statistic using electronic transaction data

Abstract

In various example embodiments, a system and method for generating a statistic using transaction data are presented. Transaction data is received, the transaction data regarding transactions performed by a set of merchants. An activity filter is generated based on the transaction data. A set of active merchants that each performs the threshold amount of transaction activity during a period of time is selected. A statistic is generated based on the transaction data.

What is claimed is: 
     
         1 . A method comprising:
 identifying a set of active merchants that performed at least a threshold number of transactions;   generating a set of weights for the set of active merchants, wherein generating a weight for each respective merchant is based on a respective percentage of transactions performed by an industry associated with the respective merchant;   normalizing transaction data identifying transactions performed by the set of active merchants during a first period of time based on the set of weights, yielding normalized transaction data; and   generating a statistic based on the normalized transaction data during a subset of the first period of time.   
     
     
         2 . The method of  claim 1 , wherein identifying the set of active merchants comprises:
 for each respective merchant from a set of merchants, determining, based on the transaction data, a number of transactions performed by the respective merchant during a first period of time;   comparing the number of transactions performed by the respective merchant during the first period of time to the threshold number of transactions, yielding a comparison; and   determining whether the respective merchant is an active merchant based on the comparison.   
     
     
         3 . The method of  claim 1 , wherein generating the set of weights for the set of active merchants comprises:
 determining an industry associated with a first active merchant;   determining a first percentage of the transactions performed by a set of merchants that originated from merchants in the industry associated with the first active merchant, wherein the first percentage of the transactions is determined based on at least one transaction that originated from the first active merchant and at least one transaction that originated from a second merchant that is different than the first active merchant; and   determining the weight for the first active merchant based on the first percentage of transactions performed by the set of merchants that originated from merchants in the industry associated with the first active merchant.   
     
     
         4 . The method of  claim 3 , wherein generating the set of weights for the set of active merchants is further based on data that indicates seasonality. 
     
     
         5 . The method of  claim 1 , wherein identifying the set of active merchants includes refraining from selecting merchants that perform an anomalous number of transactions during the first period of time. 
     
     
         6 . The method of  claim 1 , further comprising:
 generating an interface that depicts the statistic; and   causing display of the interface on a client device.   
     
     
         7 . The method of  claim 1 , further comprising:
 determining that the set of active merchants are active for a moment prior to the first period of time.   
     
     
         8 . The method of  claim 1 , further comprising:
 determining that the set of active merchants remain active upon completion of the first period of time.   
     
     
         9 . The method of  claim 1 , wherein the first period of time coincides with an occurrence of an event at a particular geographical location. 
     
     
         10 . A system comprising:
 one or more computer processors; and   one or more computer-readable mediums storing instructions that, when executed by the one or more computer processors, cause the system to perform operations comprising:   identifying a set of active merchants that performed at least a threshold number of transactions;   generating a set of weights for the set of active merchants, wherein generating a weight for each respective merchant is based on a respective percentage of transactions performed by an industry associated with the respective merchant;   normalizing transaction data identifying transactions performed by the set of active merchants during a first period of time based on the set of weights, yielding normalized transaction data; and   generating a statistic based on the normalized transaction data during a subset of the first period of time.   
     
     
         11 . The system of  claim 10 , wherein identifying the set of active merchants comprises:
 for each respective merchant from a set of merchants, determining, based on the transaction data, a number of transactions performed by the respective merchant during a first period of time;   comparing the number of transactions performed by the respective merchant during the first period of time to the threshold number of transactions, yielding a comparison; and   determining whether the respective merchant is an active merchant based on the comparison.   
     
     
         12 . The system of  claim 10 , wherein generating the set of weights for the set of active merchants comprises:
 determining an industry associated with a first active merchant;   determining a first percentage of the transactions performed by a set of merchants that originated from merchants in the industry associated with the first active merchant, wherein the first percentage of the transactions is determined based on at least one transaction that originated from the first active merchant and at least one transaction that originated from a second merchant that is different than the first active merchant; and   determining the weight for the first active merchant based on the first percentage of transactions performed by the set of merchants that originated from merchants in the industry associated with the first active merchant.   
     
     
         13 . The system of  claim 12 , wherein generating the set of weights for the set of active merchants is further based on data that indicates seasonality. 
     
     
         14 . The system of  claim 10 , wherein identifying the set of active merchants includes refraining from selecting merchants that perform an anomalous number of transactions during the first period of time. 
     
     
         15 . The system of  claim 10 , the operations further comprising:
 generating an interface that depicts the statistic; and   causing display of the interface on a client device.   
     
     
         16 . The system of  claim 10 , the operations further comprising:
 determining that the set of active merchants are active for a moment prior to the first period of time.   
     
     
         17 . The system of  claim 10 , the operations further comprising:
 determining that the set of active merchants remain active upon completion of the first period of time.   
     
     
         18 . The system of  claim 10 , wherein the first period of time coincides with an occurrence of an event at a particular geographical location. 
     
     
         19 . A non-transitory computer-readable medium storing instructions that, when executed by one or more computer processors of one or more computing devices, cause the one or more computing devices to perform operations comprising:
 identifying a set of active merchants that performed at least a threshold number of transactions;   generating a set of weights for the set of active merchants, wherein generating a weight for each respective merchant is based on a respective percentage of transactions performed by an industry associated with the respective merchant;   normalizing transaction data identifying transactions performed by the set of active merchants during a first period of time based on the set of weights, yielding normalized transaction data; and   generating a statistic based on the normalized transaction data during a subset of the first period of time.   
     
     
         20 . The non-transitory computer-readable medium of  claim 19 , wherein identifying the set of active merchants comprises:
 for each respective merchant from a set of merchants, determining, based on the transaction data, a number of transactions performed by the respective merchant during a first period of time;   comparing the number of transactions performed by the respective merchant during the first period of time to the threshold number of transactions, yielding a comparison; and   determining whether the respective merchant is an active merchant based on the comparison.