IP Library › Granted Patent US 8,175,945
Granted Patent B2
US 8,175,945 · App. 13/274,029 · Granted May 8, 2012

Using commercial share of wallet to compile marketing company lists

Assignee: American Express Travel Related Services Company, Inc.
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Quick Facts
Patent No.
US 8,175,945
App. No.
13/274,029
Granted
May 8, 2012
Kind
B2
Abstract

Commercial size of spending wallet (“CSoSW”) is the total business spend of a business including cash but excluding bartered items. Commercial share of wallet (“CSoW”) is the portion of the spending wallet that is captured by a particular financial company. A modeling approach utilizes various data sources to provide outputs that describe a company's spend capacity. Marketing companies that sell lists compile those lists by searching one or more databases for names and/or businesses that match certain criteria. Those marketing companies can use the CSoW/CSoSW modeling approach to show predicted spend and/or revenues for each company on a list. This makes the list more valuable to list buyers.

Claims (40)

1. A method for evaluating business prospects of a company, comprising:

modeling, by a computer-based system configured to evaluate the business prospects of a company, industry spending patterns using individual corporate data and aggregate corporate data, wherein the computer-based system comprises a computer processor and a tangible memory, and wherein the modeling comprises:

identifying the cost of goods sold and operating expenses from at least one of the individual corporate data and the aggregate corporate data;

at least one of identifying the cardable operating expenses from the operating expenses and identifying a cardable operating expenses ratio from aggregate corporate data;

at least one of summing the cardable operating expenses with the cost of goods sold and summing the cost of goods sold with the product of operating expenses and the cardable operating expenses ratio;

estimating, by the computer-based system, a commercial size of spending wallet for the company based on, at least, financial statement data of the business, total known business spending of the business, and the model of industry spending patterns, wherein the commercial size of spending wallet is the total cardable business spending of the business; and

rating, by the computer-based system, the company based upon the commercial size of spending wallet of the company.

2. The method of claim 1 , further comprising identifying businesses that are potential marketing targets based on at least one of the following parameters: location, size, revenue, and industry.

3. The method of claim 1 , further comprising using the ratings to prioritize the marketing targets.

4. The method of claim 1 , further comprising using the ratings to produce a best customers list.

5. The method of claim 1 , further comprising using the ratings to produce a list of businesses in a particular zip code, wherein each business has revenues within a pre-selected range.

6. The method of claim 1 , further comprising using the ratings to produce a list of businesses in a particular zip code, wherein each business has revenues within a pre-selected range.

7. The method of claim 1 , further comprising using the ratings to produce a list of businesses in a particular zip code, wherein each business has revenues within a pre-selected range.

8. A system comprising:

a computer processor configured to evaluate the business prospects of a company; and

a non-transitory computer-readable medium having instructions stored thereon that, in response to execution by the computer processor, cause the computer processor to perform operations comprising

modeling, by the computer processor, industry spending patterns using individual corporate data and aggregate corporate data, wherein the modeling comprises:

identifying the cost of goods sold and operating expenses from at least one of the individual corporate data and the aggregate corporate data;

at least one of identifying the cardable operating expenses from the operating expenses and identifying a cardable operating expenses ratio from aggregate corporate data;

at least one of summing the cardable operating expenses with the cost of goods sold and summing the cost of goods sold with the product of operating expenses and the cardable operating expenses ratio;

estimating, by the computer processor, a commercial size of spending wallet for the company based on, at least, financial statement data of the business, total known business spending of the business, and the model of industry spending patterns, wherein the commercial size of spending wallet is the total cardable business spending of the business; and

rating, by the computer processor, the company based upon the commercial size of spending wallet of the company.

9. The system of claim 8 , further comprising identifying businesses that are potential marketing targets based on at least one of the following parameters: location, size, revenue, and industry.

10. The system of claim 8 , further comprising using the ratings to prioritize the marketing targets.

11. The system of claim 8 , further comprising using the ratings to produce a best customers list.

12. The system of claim 8 , further comprising using the ratings to produce a list of businesses in a particular zip code, wherein each business has revenues within a pre-selected range.

13. The system of claim 8 , further comprising using the ratings to produce a list of businesses in a particular zip code, wherein each business has revenues within a pre-selected range.

14. The system of claim 8 , further comprising using the ratings to produce a list of businesses in a particular zip code, wherein each business has revenues within a pre-selected range.

15. An article of manufacture including a non-transitory computer-readable medium having instructions stored thereon that, in response to execution by a computing device configured to evaluate the business prospects of a company, cause the computing device to perform operations comprising

modeling, by the computing device, industry spending patterns using individual corporate data and aggregate corporate data, wherein the modeling comprises:

identifying the cost of goods sold and operating expenses from at least one of the individual corporate data and the aggregate corporate data;

at least one of identifying the cardable operating expenses from the operating expenses and identifying a cardable operating expenses ratio from aggregate corporate data;

at least one of summing the cardable operating expenses with the cost of goods sold and summing the cost of goods sold with the product of operating expenses and the cardable operating expenses ratio;

estimating, by the computing device, a commercial size of spending wallet for the company based on, at least, financial statement data of the business, total known business spending of the business, and the model of industry spending patterns, wherein the commercial size of spending wallet is the total cardable business spending of the business; and

rating, by the computing device, the company based upon the commercial size of spending wallet of the company.

16. The article of manufacture of claim 15 , further comprising identifying businesses that are potential marketing targets based on at least one of the following parameters: location, size, revenue, and industry.

17. The article of manufacture of claim 15 , further comprising using the ratings to prioritize the marketing targets.

18. The article of manufacture of claim 15 , further comprising using the ratings to produce a best customers list.

19. The article of manufacture of claim 15 , further comprising using the ratings to produce a list of businesses in a particular zip code, wherein each business has revenues within a pre-selected range.

20. The article of manufacture of claim 15 , further comprising using the ratings to produce a list of businesses in a particular zip code, wherein each business has revenues within a pre-selected range.

Assignments (2)
CORRECTIVE ASSIGNMENT TO CORRECT THE OMISSION OF THE FIRST PAGES OF THE ASSIGNMENTS PREVIOUSLY RECORDED AT REEL: 027081 FRAME: 0064. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Jul 14, 2015
From: HAGGERTY, KATHLEEN; LYON, CHARLES CHRISTOPHER; OKOH, BENEDICT O.; PHELAN, ROBERT E.; RUTERMAN, JON KEVIN; TURNER, GERALDINE A.; YUAN, CHAO M.; BISWAS, ARNAB
To: AMERICAN EXPRESS TRAVEL RELATED SERVICES COMPANY, INC.
Reel/Frame 036104/0677 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 18, 2011
From: HAGGERTY, KATHLEEN; LYON, CHARLES CHRISTOPHER; OKOH, BENEDICT O.; PHELAN, ROBERT E.; RUTERMAN, JON K.; TURNER, GERALDINE A.; YUAN, CHAO M.; BISWAS, ARNAB
To: AMERICAN EXPRESS TRAVEL RELATED SERVICES COMPANY, INC.
Reel/Frame 027081/0064 →
Continuity (5)
Continuation 11497527 · Aug 2, 2006
Continuation In Part 11169588 · Jun 30, 2005
Continuation In Part 10978298 · Oct 29, 2004
Provisional Application 60704428 · Aug 2, 2005
Related Publication 20120035980A1 · Feb 9, 2012