METHOD AND SYSTEM FOR IDENTIFYING A COHORT OF USERS BASED ON PAST SHOPPING BEHAVIOR AND OTHER CRITERIA

• US 20150170175A1
• Filed: 02/25/2015
• Published: 06/18/2015
• Est. Priority Date: 01/21/2009
• Status: Abandoned Application

• Current Assignee: Truaxis, Inc. (MasterCard Incorporated)
• Original Assignee: Truaxis, Inc. (MasterCard Incorporated)
• Inventors: Kurapati, Kaushal, Zhang, Fan, Kashyap, Abhijith Ramesh, Perez-Leon, Francisco Javier
• Application Number:
  US14/631,091
• Publication Number:
  US 20150170175A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0204 Market segmentation
• CPC Class Codes: G06Q 30/0207 Discounts or incentives, e.g. coupons or rebates
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes
• CPC Class Codes: H04M 15/44 Augmented, consolidated or itemized billing statement or bill presentation
• CPC Class Codes: H04M 15/58 based on statistics of usage or network monitoring
• CPC Class Codes: H04M 15/745 Customizing according to wishes of subscriber, e.g. friends or family
• CPC Class Codes: H04M 15/80 Rating or billing plans; Tariff determination aspects
• CPC Class Codes: H04M 15/8011 using class of subscriber
• CPC Class Codes: H04M 15/8044 Least cost routing
• CPC Class Codes: H04M 15/805 Bidding
• CPC Class Codes: H04M 15/8083 involving reduced rates or discounts, e.g. time-of-day reductions or volume discounts
• CPC Class Codes: H04M 15/83 Notification aspects
• CPC Class Codes: H04M 15/84 Types of notifications
• CPC Class Codes: H04M 15/85 characterised by the type of condition triggering a notification
• CPC Class Codes: H04M 15/851 Determined tariff
• CPC Class Codes: H04M 2215/0104 Augmented, consolidated or itemised billing statement, e.g. additional billing information, bill presentation, layout, format, e-mail, fax, printout, itemised bill per service or per account, cumulative billing, consolidated billing
• CPC Class Codes: H04M 2215/0108 Customization according to wishes of subscriber, e.g. customer preferences, friends and family, selecting services or billing options, Personal Communication Systems [PCS]
• CPC Class Codes: H04M 2215/018 On-line real-time billing, able to see billing information while in communication, e.g. via the internet
• CPC Class Codes: H04M 2215/0184 involving reduced rates or discounts, e.g. time-of-day reductions, volume discounts, cell discounts, group billing, frequent calling destination(s) or user history list
• CPC Class Codes: H04M 2215/0188 : Network monitoring; statistics on usage on called/calling number
• CPC Class Codes: H04M 2215/74 : Rating aspects, e.g. rating parameters or tariff determination apects
• CPC Class Codes: H04M 2215/7407 : class of subscriber
• CPC Class Codes: H04M 2215/745 : Least cost routing, e.g. Automatic or manual, call by call or by preselection
• CPC Class Codes: H04M 2215/7457 : Biding
• CPC Class Codes: H04M 2215/81 : Notifying aspects, e.g. notifications or displays to the user
• CPC Class Codes: H04M 2215/8129 : Type of notification
• CPC Class Codes: H04M 2215/815 : Notification when a specific condition, service or event is met

Abstract

Disclosed herein is a method for a merchant to gain information about the purchasing characteristics of a group with which the merchant wishes to interact. Merchants wishing to target group members are not able to specifically identify members of the group through depersonalized transaction data available from financial institutions. Group members are therefore identified through a traditional method: market research. The method also includes noting the purchasing behavior of group members, including providers of goods and services to group members, merchants not patronized by members of the group, and demographic characteristics of the group. An example of such a group is the so-called “millennials”. The identification of group members may be validated through test runs of financial data and fine-tuned to ensure correct identification of group members.

Claims

1. A method for identifying group members, comprising:

identifying demographic characteristics of members of a group via market research;

identifying purchasing behaviors of the members of the group via market research;

correlating the identified demographic characteristics with the identified purchasing behaviors to identify merchants whom the members of the group tend to patronize;

gathering transaction data from a financial account of a user at a financial institution for processing transactions between the user and a plurality of merchants and providers;

clustering users using their transaction data with the identified merchants to from a plurality of clusters;

analyzing the characteristics of each cluster and identifying at least one cluster that has the identified demographic characteristics; and

presenting to the user in an online statement of the user'"'"'s account a savings opportunity from a merchant seeking to contact members of the group when the characteristics suggest that the user belongs to the at least one cluster.

2. The method of claim 1, wherein the demographic characteristics of the members of a group comprise at least one of gender;

ethnicity;

age or birthdate;

family income;

personal income;

educational level;

shopping preference; and

a personal interest.

3. The method of claim 1, wherein the market research comprises an organized effort to contact individual members of the group to gather information concerning at least one of:

economic data;

habits and practices of individual members of the group.

4. The method of claim 1, wherein identifying merchants comprises identifying sellers, retailers, manufacturers, establishments, on-line services for connecting buyers and sellers, on-line services using primarily mobile devices to connect buyers and sellers, and providers of goods and services patronized by members of the group.

5. The method of claim 1, wherein the identified merchants include at least one of sellers, retailers, manufacturers, establishments, providers of goods and services, and completed transactions with selected merchants or providers.

6. The method of claim 1, wherein analyzing comprises analyzing transaction data for at least one of:

an amount spent in a time period;

an amount spent in a product or service category;

one or more transactions with a particular merchant or provider of a good or a service; and

an average amount spent per time periods over several time periods.

7. The method of claim 1, further comprising eliminating from the step of presenting, savings opportunities from merchants not patronized by the members of the group.

8. The method of claim 1, wherein the savings opportunity is an invitation to an alternative provider of a good or a service previously purchased by the user and further comprising accepting a response from the user to the presentation of the savings opportunity by redirecting the user to information about the alternative provider.

9. The method of claim 1, further comprising identifying the purchasing behaviors of the members of the group from third party sources and verifying the purchasing behaviors of the members of the group via market research.

10. The method of claim 1, further comprising identifying merchants patronized by the members of the group from third party sources and verifying the purchasing behaviors of the members of the group via the analyzed transaction data.

11. A method for identifying group members, comprising:

identifying demographic characteristics of members of a group via market research;

identifying purchasing behaviors of the members of the group via market research;

correlating the identified demographic characteristics with the identified purchasing behaviors to identify merchandise categories typically purchased by the members of the group;

gathering transaction data from a financial account of a user at a financial institution for processing transactions between the user and a plurality of merchants and providers;

clustering users using their transaction data in the identified merchant categories;

analyzing the characteristics of each cluster and identifying at least one cluster that has the identified demographic characteristics; and

presenting to the user in an online statement of the user'"'"'s account a savings opportunity from a merchant seeking to contact members of the group when the characteristics suggest that the user belongs to the cluster.

12. The method of claim 11, wherein at least one of the merchandise categories is selected from the group consisting of restaurants, jewelry, airline travel, travel-related merchandise, clothing, high-end apparel, entertainment, furniture, appliances, general merchandise, mass-market discount merchandise, housing, automobiles, education, continuing education and online-purchased merchandise and services.

13. The method of claim 11, wherein the identified purchasing behaviors of the members include a list of merchants or providers patronized by the members of the group.

14. The method of claim 11, wherein identifying purchasing behaviors of the members of the group comprises identifying merchants, retailers, manufacturers, establishments and providers of goods and services patronized by members of the group, and further comprising categorizing the identified merchants, retailers, manufacturers, establishments and providers into a plurality of merchandise categories.

15. The method of claim 11, wherein the savings opportunity is an invitation to an alternative provider of a good or a service in a merchandise category previously purchased by the user and further comprising accepting a response from the user to the presentation of the savings opportunity by redirecting the user to information about the alternative provider in the merchandise category.

16. The method of claim 11, further comprising presenting the user with an opportunity to view detailed billing records from a current provider to the user in the merchandise category, the detailed billing records including information additional to the transaction data.

17. The method of claim 11, further comprising, correlating the identified demographic characteristics with the identified purchasing behavior to identify merchandise categories not typically purchased by the members of the group.

18. A method for identifying group members, comprising:

identifying demographic characteristics of members of a group via market research;

identifying purchasing behaviors of the members of the group via market research;

correlating the identified demographic characteristics with the identified purchasing behaviors to identify purchasing behaviors of the members of the group;

defining criteria to identify a member of the group via a purchasing behavior of the member;

gathering transaction data from a financial account of a user at a financial institution for processing transactions of the user with a plurality of merchants and providers;

analyzing the transaction data of the user to determine whether the transaction data of the user meet two or more of the criteria for the user to be an individual member of the group; and

presenting to the user in an online statement of the financial account of the user a savings opportunity from a merchant seeking to contact members of the group having the identified purchasing behaviors when the user meets the two or more of the criteria for the user to be an individual member of the group.

19. The method of claim 18, wherein at least two purchasing behaviors are selected from the group consisting of:

at least one merchandise category;

an amount spent in a time period;

an amount spent in a product or service category;

one or more transactions with a particular merchant or provider of a good or a service;

purchases made online;

purchases made from a mobile device;

transactions conducted outside a person'"'"'s zip code or statistical area; and

an average amount spent per time periods over several time periods.

20. The method of claim 18, further comprising identifying purchasing behaviors not practiced by the members of the group and in the step of analyzing, eliminating the user if the transaction data of the user reveal a purchasing behavior inconsistent with membership in the group.

21. The method of claim 18, wherein the merchant participates in a merchandise category selected from the group consisting of a niche apparel category, an online retailer category, an educational category, a continuing education category and a travel category.

22. The method of claim 18, wherein the merchant seeking to contact members of the group is identified in the step of identifying purchasing behaviors of the members of the group.

23. The method of claim 18, further comprising comparing a list of the members of the group from the step of correlating with a list of users identified by the step of analyzing and modifying the criteria to identify a member of the group.