Identifying geographic market share

Patent metadata

Field	Value
Publication number	US-11748773-B2
Application number	US-201916445574-A
Country	US
Kind code	B2
Filing date	Jun 19, 2019
Priority date	Apr 25, 2018
Publication date	Sep 5, 2023
Grant date	Sep 5, 2023

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.

First claim

The invention claimed is:

1. A method for identifying a geographic market share, the method comprising:
receiving, by a customer analytics system, 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, by said customer analytics system, locations of said target business and said one or more competitors in said geographic area using said received location data of businesses;
receiving, by said customer analytics system, mobility data from a plurality of mobile devices located in said geographic area, wherein said plurality of mobile devices are connected to said customer analytics system via a network;
identifying, by said customer analytics system, people who are shopping at said identified locations of said target business and said one or more competitors using said mobility data;
inferring, by said customer analytics system, shopping habits of said identified people using said mobility data;
identifying, by said customer analytics system, customers of said target business and said one or more competitors using said mobility data and customer data from said target business;
determining, by said customer analytics system, 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, by said customer analytics system, 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, by said customer analytics system, 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
displaying, by said customer analytics system, a visualization of said geographic market share of said target business and said one or more competitors within said geographic area on a user's computing device thereby enhancing businesses' understanding of its geographic market share using mobility data as well as enhancing their understanding of an amount of overlap of their own customers with their competitors' customers geographically, wherein said visualization comprises a graphical display of said geographic market share of said target business and said one or more competitors surrounding indications of locations of said target business and said one or more competitors within said geographic area, wherein said visualization is displayed by a software module of said customer analytics system configured to perform comparative geographic market share analysis, wherein said visualization comprises a box of information overlaid on a map of said geographic area, wherein said box of information comprises a percentage of total market in said geographic area, wherein said box of information comprises a percentage of total market share in said geographic area by store for said target business and said one or more competitors, wherein said box of information is derived from said determined geographic market share of said target business and said one or more competitors within said geographic area.

2. The method as recited in claim 1 further comprising:
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.

3. The method as recited in claim 1 further comprising:
aggregating said inferred shopping habits to said geographic area via a geohash expression.

4. The method as recited in claim 1 further comprising:
identifying geographic market opportunities for said target business using said geographic market share of said target business and said one or more competitors.

5. The method as recited in claim 4 further comprising:
presenting a visualization of areas within said geographic area for said geographic market opportunities for said target business.

6. The method as recited in claim 1 further comprising;
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.

7. The method as recited in claim 1 , wherein said mobility data is acquired from location tracking applications running on mobile devices.

Assignees

• IBM

Inventors

• Chu Linsong
• Kervin Karina Elayne
• Khayyat Michael
• Li Hongfei

Classifications

• G06Q30/0205 Primary

  based on location or geographical consideration · CPC title

• G06Q30/0201 Primary

  Market modelling; Market analysis; Collecting market data · CPC title

• H04W4/021

  Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences · CPC title

• H04W4/029

  Location-based management or tracking services · CPC title