Consumer profiling using network connectivity

Patent metadata

Field	Value
Publication number	US-11113701-B2
Application number	US-201514661460-A
Country	US
Kind code	B2
Filing date	Mar 18, 2015
Priority date	Apr 23, 2014
Publication date	Sep 7, 2021
Grant date	Sep 7, 2021

Abstract

A method and associated apparatus (30) which, based on profiles of shoppers (100), along with the time spent by shoppers at each of a plurality of retail establishments, suggest offers most suitable to that particular profile. Shoppers' trails (past and present) are considered in order to generate and update profiles and predict future behavior and offer tailored incentives. For locating shoppers, an active Wi-Fi receiver on a mobile phone or other personal communication device can be identified by an access point (20, 22, 24) in a shop (10, 12, 14) by its MAC address as the shopper moves through a shopping centre, even if the device never connects to the access point. It is not necessary to identify the shoppers as named individuals; rather, it is possible to anonymously recognize them based on the MAC address.

First claim

What is claimed is:

1. A method of profiling users of facilities, each facility having access points for mobile devices of the users geographically distributed within the facility, and transaction points for the users to conduct transactions, the method comprising:
at the access points, detecting the mobile devices by negotiating possible connections with the mobile devices and collecting information identifying the mobile devices but not the users, and generating time-stamped location reports of the mobile devices in real time;
at the transaction points, generating time-stamped transaction reports of transactions made by the users in real time;
at a server linked to the access points and the transaction points, generating correlated reports by correlating in time the time-stamped location reports of the mobile devices with the time-stamped transaction reports and creating a probabilistic link between a specific mobile device of a specific anonymous user and a specific transaction by assuming that, based on the correlated reports, a specific transaction made at a transaction point at substantially a same time as a specific mobile device was detected in a vicinity of the transaction point was made by the specific anonymous user of the specific mobile device;
at the server, building a probabilistic personalized user profile of the specific anonymous user without access to identity information of the specific anonymous user, based on the probabilistic link;
updating the probabilistic personalized user profile when the specific anonymous user performs a transaction at a transaction point in one of the facilities; and
at the server, generating, from the probabilistic personalized user profile, a personalized offer targeted at and provided to the specific anonymous user.

2. The method according to claim 1 , wherein mobile devices are distinguished from one another on a basis of identification information transmitted by the mobile devices.

3. The method according to claim 2 , wherein the identification information is a MAC (Media Access Control) address.

4. The method according to claim 1 , further comprising deriving a context for the customer, and taking the context into account when generating the personalized offer.

5. The method according to claim 1 , further comprising categorizing the customer as at least one persona on a basis of the probabilistic customer profile and using the persona when generating the personalized offer.

6. The method according to claim 1 , further comprising: displaying the personalized offer on a display located in a vicinity of the location recorded in a most recent time-stamped record of the mobile device.

7. The method according to claim 1 , further comprising: linking the probabilistic customer profile to one or both of identity and contact details of the customer.

8. The method according to claim 7 , further comprising: transmitting the personalized offer to the mobile device of the customer.

9. The method according to claim 1 , further comprising:
predicting a future location of the customer on a basis of the probabilistic customer profile; and
notifying the commercial facility at that location.

10. The method according to claim 9 , further comprising predicting a time which the customer is likely to spend at the future location on the basis of the probabilistic customer profile.

11. A profiling system for at least one facility visited by users with mobile devices, comprising:
access points geographically distributed within the at least one facility to detect the mobile devices by negotiating possible connections with the mobile devices and collecting information identifying the mobile devices but not the users, and to provide time-stamped location reports of the mobile devices;
transaction points of the at least one facility, the transaction points arranged to provide time-stamped transaction reports of transactions made by the users in real time; and
a server configured to receive the time-stamped location reports of the mobile devices and the time-stamped transaction reports of transactions made by the users, to generate correlated reports by correlating in time the time-stamped location reports of the mobile devices with the transaction reports, to create a probabilistic link between a specific mobile device of a specific anonymous user and a specific transaction by assuming that, based on the correlated reports, a specific transaction made at a transaction point at substantially a same time as a specific mobile device was detected in a vicinity of the transaction point was made by the specific anonymous user of the specific mobile device, to generate a probabilistic personalized user profile of a specific anonymous user without access to identity information of the specific anonymous user, based on the probabilistic link, to store and update the probabilistic personalized user profile when the specific anonymous user performs a transaction at the at least one facility, and to generate, from the probabilistic personalized user profile, a personalized offer targeted at and provided to the specific anonymous user.

12. One or more non-transitory computer-readable recording media storing program code which, when executed by a processor in a computer, performs a method of profiling users of facilities, each facility having geographically distributed access points for mobile devices of the users, and transaction points for the users to make transactions, the computer linked to the geographically distributed access points and the transaction points, and the method comprising:
at the geographically distributed access points, detecting the mobile devices by negotiating possible connections with the mobile devices and collecting information identifying the mobile devices but not the users, and generating time-stamped location reports of the mobile devices in real time;
at the transaction points, generating time-stamped transaction reports of transactions made by users in real time;
at the computer, generating correlated reports by correlating in time the time-stamped location reports of the mobile devices with the time-stamped transaction reports and creating a probabilistic link between a specific mobile device of a specific anonymous user and a specific transaction by assuming that, based on the correlated reports, a specific transaction made at a transaction point at substantially a same time as a specific mobile device was detected in a vicinity of the transaction point was made by the specific anonymous user of the specific mobile device; and
at the computer, building a probabilistic user profile of a specific anonymous user without access to identity information of the specific anonymous user, based on the probabilistic link;
at the computer, storing and updating the probabilistic personalized user profile when the specific anonymous user performs a transaction at a transaction point in one of the facilities; and
at the computer, generating, from the probabilistic personalized user profile, a personalized offer targeted at and provided to the specific anonymous user.

13. The method according to claim 1 , wherein the notification is sent to a display within view of a most recent access point to detect the specific mobile device of the specific anonymous user.

14. The method according to claim 1 , wherein the notification is sent to the specific mobile device of the specific anonymous user.

Assignees

• Fujitsu Ltd

Inventors

• Tesanovic Milos
• Snelling David
• Naseer Butt Aisha
• Bhaskaran Balakrishnan

Classifications

• G06Q30/0201 Primary

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

• G06Q30/0202

  Market predictions or forecasting for commercial activities · CPC title

• H04W4/029

  Location-based management or tracking services · CPC title