Service Provider Analytics

• US 20130246125A1
• Filed: 03/15/2013
• Published: 09/19/2013
• Est. Priority Date: 03/15/2012
• Status: Abandoned Application

• Current Assignee: Visa International Service Association (Visa, Inc.)
• Original Assignee: Visa USA, Inc. (Visa, Inc.)
• Inventors: DiGioacchino, Laura, Olives, Jeffrey Rolland, Akerman, Kevin, Byce, Charles, Considine, Kevin, VonDerheide, James
• Application Number:
  US13/840,169
• Publication Number:
  US 20130246125A1
• Time in Patent Office: Days
• US Class Current: 705/7.33
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data

Abstract

A system, apparatus, computer readable media, and method are disclosed for generating analytics on customers of service provider merchants. In an example, a transaction record associated with an account identifier of a customer that purchased a first service from a first merchant may be processed and a service date for the first service may be determined. Other transaction records comprising the account identifier and that satisfy a temporal filter may be identified. Each of the other transaction records may include transaction data associated with at least one of: (1) purchase of another service to be provided within a first predetermined amount of time of the service date, and (2) purchase of a product within a second predetermined amount of time of the service date. A spending profile including information on the first service, the service date, and the transaction data for each of the other transaction records may be generated.

Claims

1. A method comprising:

processing, by a processor, a transaction record associated with an account identifier of a customer that purchased a first service from a first merchant;

determining a service date for the first service;

identifying, by the processor, other transaction records comprising the account identifier and that satisfy a temporal filter, wherein each of the other transaction records comprises transaction data associated with at least one of;

(1) purchase of another service to be provided within a first predetermined amount of time of the service date, and (2) purchase of a product within a second predetermined amount of time of the service date; and

generating, by the processor, a spending profile comprising information on the first service, the service date, and the transaction data for each of the other transaction records.

2. The method of claim 1, further comprising:

generating an aggregate profile by aggregating data from a first category in the spending profile with data from the first category in the other spending profiles.

3. The method of claim 2, wherein the generating of the aggregate profile comprises aggregating data from a first category in the spending profile with data from the first category in the other spending profiles.

4. The method of claim 2, further comprising:

identifying a group of merchants that are peers to the merchant; and

generating an aggregate peer group profile for the peer group merchants.

5. The method of claim 4, further comprising:

generating a peer index by comparing the aggregate profile to the aggregate peer group profiles.

6. The method of claim 5, wherein the generating of the peer index comprises generating a comparison of a percentage of the merchant'"'"'s customers who make a purchase within a category relative to a percentage of peer group merchant'"'"'s customers who made a purchase within the category.

7. The method of claim 5, wherein the generating of the peer index comprises generating a comparison of an average ticket size of the merchant'"'"'s customers who make a purchase within a category relative to an average ticket size of peer group merchant'"'"'s customers who made a purchase within the category.

8. A non-transitory computer readable medium storing instructions that, when executed, cause an apparatus at least to perform:

processing a transaction record associated with an account identifier of a customer that purchased a first service from a first merchant;

determining a service date for the first service;

identifying other transaction records comprising the account identifier and that satisfy a temporal filter, wherein each of the other transaction records comprises transaction data associated with at least one of;

(1) purchase of another service to be provided within a first predetermined amount of time of the service date, and (2) purchase of a product within a second predetermined amount of time of the service date; and

generating a spending profile comprising information on the first service, the service date, and the transaction data for each of the other transaction records.

9. The computer readable medium of claim 8, wherein the instructions, when executed, further cause the apparatus to generate an aggregate profile by aggregating data from a first category in the spending profile with data from the first category in the other spending profiles.

10. The computer readable medium of claim 8, wherein the instructions, when executed, further cause the apparatus to generate an aggregate profile by aggregating non-purchase data in the spending profile with non-purchase data in other spending profiles.

11. The computer readable medium of claim 10, further comprising:

identifying a group of merchants that are peers to the merchant; and

generating an aggregate peer group profile for the peer group merchants.

12. The computer readable medium of claim 11, further comprising:

generating a peer index by comparing the aggregate profile to the aggregate peer group profiles.

13. The computer readable medium of claim 12, wherein the generating of the peer index comprises generating a comparison of a percentage of the merchant'"'"'s customers who make a purchase within a category relative to a percentage of peer group merchant'"'"'s customers who made a purchase within the category.

14. The computer readable medium of claim 11, wherein the generating of the peer index comprises generating a comparison of an average ticket size of the merchant'"'"'s customers who make a purchase within a category relative to an average ticket size of peer group merchant'"'"'s customers who made a purchase within the category.

15. An apparatus comprising:

at least one processor; and

at least one memory storing computer readable instructions that, when executed by the at least one processor, cause the apparatus at least to perform;

processing a transaction record associated with an account identifier of a customer that purchased a first service from a first merchant;

determining a service date for the first service;

identifying other transaction records comprising the account identifier and that satisfy a temporal filter, wherein each of the other transaction records comprises transaction data associated with at least one of;

(1) purchase of another service to be provided within a first predetermined amount of time of the service date, and (2) purchase of a product within a second predetermined amount of time of the service date; and

generating a spending profile comprising information on the first service, the service date, and the transaction data for each of the other transaction records.

16. The apparatus of claim 15, wherein the instructions, when executed, farther cause the apparatus to generate an aggregate profile by aggregating data from a first category in the spending profile with data from the first category in the other spending profiles.

17. The apparatus of claim 15, wherein the instructions, when executed, further cause the apparatus to generate an aggregate profile by aggregating non-purchase data in the spending profile with non-purchase data in the other spending profiles.

18. The apparatus of claim 17, further comprising:

identifying a group of merchants that are peers to the merchant; and

generating an aggregate peer group profile for the peer group merchants.

19. The apparatus of claim 15, wherein the instructions, when executed, further cause the apparatus to generate a peer index by comparing the aggregate profile to the aggregate peer group profiles based on a comparison of a percentage of the merchant'"'"'s customers who make a purchase within a category relative to a percentage of peer group merchant'"'"'s customers who made a purchase within the category.

20. The apparatus of claim 15, wherein the instructions, when executed, further cause the apparatus to generate a peer index by comparing the aggregate profile to the aggregate peer group profiles based on a comparison of an average ticket size of the merchant'"'"'s customers who make a purchase within a category relative to an average ticket size of peer group merchant'"'"'s customers who made a purchase within the category.