Identifying geographic market share

Abstract

A method, system and computer program product for identifying a geographic market share. Mobility data is acquired from applications running on mobile devices of users located within a geographic area. Mobility data is then used to infer shopping habits within the geographic area. Geo-demographic profiles are then created. The geographic market share is then determined using the created geo-demographic profiles.

1 - 7 . (canceled) 
     
     
         8 . A computer program product for identifying a geographic market share, the computer program product comprising a computer readable storage medium having program code embodied therewith, the program code comprising the programming instructions for:
 receiving location data of businesses in a geographic area, wherein said businesses comprise a target business and one or more competitors of said target business;   identifying locations of said target business and said one or more competitors in said geographic area using said received location data of businesses;   receiving mobility data from a plurality of mobile devices located in said geographic area;   identifying people who are shopping at said identified locations of said target business and said one or more competitors using said mobility data;   inferring shopping habits of said identified people using said mobility data;   identifying customers of said target business and said one or more competitors using said mobility data and customer data from said target business;   determining areas in said geographic area where said customers of said target business and said one or more competitors live, work and commute using said mobility data and said inferred shopping habits of said identified people;   creating geo-demographic profiles of said customers of said target business and said one or more competitors using said determined areas in said geographic area where said customers of said target business and said one or more competitors live, work and commute;   determining geographic market share of said target business and said one or more competitors within said geographic area using said created geo-demographic profiles of customers of said target business and said one or more competitors; and   presenting a visualization of said geographic market share of said target business and said one or more competitors within said geographic area.   
     
     
         9 . The computer program product as recited in  claim 8 , wherein the program code further comprises the programming instructions for:
 obtaining demographic data in said geographic area;   performing demographic analysis using said obtained demographic data and said mobility data; and   determining areas in said geographic area where said customers of said target business and said one or more competitors live, work and commute using said mobility data, said performed demographic analysis and said inferred shopping habits of said identified people.   
     
     
         10 . The computer program product as recited in  claim 8 , wherein the program code further comprises the programming instructions for:
 aggregating said inferred shopping habits to said geographic area via a geohash expression.   
     
     
         11 . The computer program product as recited in  claim 8 , wherein the program code further comprises the programming instructions for:
 identifying geographic market opportunities for said target business using said geographic market share of said target business and said one or more competitors.   
     
     
         12 . The computer program product as recited in  claim 11 , wherein the program code further comprises the programming instructions for:
 presenting a visualization of areas within said geographic area for said geographic market opportunities for said target business.   
     
     
         13 . The computer program product as recited in  claim 8 , wherein the program code further comprises the programming instructions for:
 receiving event data; and   analyzing how said shopping habits of said identified people change in response to said received event data using said mobility data.   
     
     
         14 . The computer program product as recited in  claim 8 , wherein
 said mobility data is acquired from location tracking applications running on mobile devices.   
     
     
         15 . A system, comprising:
 a memory unit for storing a computer program for identifying a geographic market share; and   a processor coupled to the memory unit, wherein the processor is configured to execute the program instructions of the computer program comprising:
 receiving location data of businesses in a geographic area, wherein said businesses comprise a target business and one or more competitors of said target business; 
 identifying locations of said target business and said one or more competitors in said geographic area using said received location data of businesses; 
 receiving mobility data from a plurality of mobile devices located in said geographic area; 
 identifying people who are shopping at said identified locations of said target business and said one or more competitors using said mobility data; 
 inferring shopping habits of said identified people using said mobility data; 
 identifying customers of said target business and said one or more competitors using said mobility data and customer data from said target business; 
 determining areas in said geographic area where said customers of said target business and said one or more competitors live, work and commute using said mobility data and said inferred shopping habits of said identified people; 
 creating geo-demographic profiles of said customers of said target business and said one or more competitors using said determined areas in said geographic area where said customers of said target business and said one or more competitors live, work and commute; 
 determining geographic market share of said target business and said one or more competitors within said geographic area using said created geo-demographic profiles of customers of said target business and said one or more competitors; and 
 presenting a visualization of said geographic market share of said target business and said one or more competitors within said geographic area. 
   
     
     
         16 . The system as recited in  claim 15 , wherein the program instructions of the computer program further comprise:
 obtaining demographic data in said geographic area;   performing demographic analysis using said obtained demographic data and said mobility data; and   determining areas in said geographic area where said customers of said target business and said one or more competitors live, work and commute using said mobility data, said performed demographic analysis and said inferred shopping habits of said identified people.   
     
     
         17 . The system as recited in  claim 15 , wherein the program instructions of the computer program further comprise:
 aggregating said inferred shopping habits to said geographic area via a geohash expression.   
     
     
         18 . The system as recited in  claim 15 , wherein the program instructions of the computer program further comprise:
 identifying geographic market opportunities for said target business using said geographic market share of said target business and said one or more competitors.   
     
     
         19 . The system as recited in  claim 18 , wherein the program instructions of the computer program further comprise:
 presenting a visualization of areas within said geographic area for said geographic market opportunities for said target business.   
     
     
         20 . The system as recited in  claim 15 , wherein the program instructions of the computer program further comprise:
 receiving event data; and   analyzing how said shopping habits of said identified people change in response to said received event data using said mobility data.   
     
     
         21 . The system as recited in  claim 15 , wherein said mobility data is acquired from location tracking applications running on mobile devices.