Computer-based analysis of affiliate site performance

• US 8,224,715 B2
• Filed: 08/09/2010
• Issued: 07/17/2012
• Est. Priority Date: 11/12/2004
• Status: Active Grant

• Current Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Original Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Inventors: Kumar, Dilip S., Selinger, David L., Anderson, Michelle K., Rusmechientong, Paat
• Primary Examiner(s): Misiaszek, Michael
• Application Number:
  US12/853,207
• Publication Number:
  US 20100324979A1
• Time in Patent Office: 708 Days
• Field of Search: 705 261- 272
• US Class Current: 705/26.7
• CPC Class Codes: G06Q 10/06393 Score-carding, benchmarking or key performance indicator [KPI] analysis
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0211 Determining the effectiveness of discounts or incentives
• CPC Class Codes: G06Q 30/0241 Advertisements
• CPC Class Codes: G06Q 30/0244 Optimization
• CPC Class Codes: G06Q 30/0247 Calculate past, present or future revenues
• CPC Class Codes: G06Q 30/0601 Electronic shopping [e-shopping]
• CPC Class Codes: G06Q 30/0631 Item recommendations

Abstract

A performance analysis system analyzes the performance of affiliate sites that provide links to specific items in an electronic catalog, and identifies catalog items that can be listed by such affiliate web sites to improve performance. An association mining component analyzes transaction data attributable to specific categories or types of affiliate web sites to identify items that are frequently purchased in combination by users of such sites. The detected item associations are used to evaluate, for a given affiliate site, whether significant disparities exist between the expected and actual sales quantities of specific items. The results of the analysis are incorporated into affiliate-specific performance reports, which may include specific recommendations for improving performance. The disclosed methods may also be used to analyze the performance of, and provide recommendations to, online sellers within an online mall, online marketplace, or online auction system.

Claims

1. A method of analyzing the performance of affiliate sites that refer users to an electronic commerce site, the method comprising:

generating, for each of a plurality of categories of affiliate sites, a respective set of item association data that identifies items that are purchased in combination relatively frequently by users referred by affiliate sites falling within the respective category; and

analyzing performance of a particular affiliate site that falls within a first category of said plurality of categories by comparing the set of item association data for said first category to transaction data associated with the particular affiliate site, wherein the particular affiliate site comprises a plurality of item-specific links to the electronic commerce site, each item-specific link corresponding to a respective item represented in an electronic catalog of the electronic commerce site, and wherein analyzing the performance of the particular affiliate site comprises using the transaction data, in combination with the set of item association data for said first category, to generate a recommendation of at least one additional item-specific link to provide on the particular affiliate site to improve performance;

said method performed by a computer system that comprises one or more computers.

2. The method of claim 1, wherein analyzing the performance of the particular affiliate site comprises using the transaction data and association data in combination to identify items to list on the particular affiliate site to improve said performance.

3. The method of claim 1, wherein analyzing the performance of the particular affiliate site comprises detecting disparities between expected and actual quantities of specific items purchased by users referred by the particular affiliate site.

4. The method of claim 3, further comprising using said disparities to generate recommendations of items to list on the particular affiliate site to improve performance.

5. The method of claim 1, further comprising, by said computer system, generating, and transmitting to an affiliate associated with the particular affiliate site, an electronic report that includes the recommendation.

6. The method of claim 1, wherein each set of item association data comprises one or more association rules.

7. The method of claim 6, wherein each association rule identifies a first set of items, X1, and a second set of items, X2, and specifies a conditional probability that a purchaser of X1 will also purchase X2.

8. The method of claim 6, wherein at least one of the association rules maps a two-item set to a single item.

9. The method of claim 1, wherein the item association data comprises data values reflective of frequencies with which specific items are purchased in combination.

10. The method of claim 1, wherein generating the item association data comprises using category information supplied by affiliates to identify affiliate sites falling within each of the plurality of categories.

11. The method of claim 1, wherein generating the item association data for each category comprises programmatically categorizing the affiliate sites based on at least one of (a) content of the affiliate sites, and (b) purchases made by users referred by the affiliate sites.

12. The method of claim 5, wherein the report includes markup language code for adding the at least one item-specific link to the particular affiliate site.

13. The method of claim 1, wherein the computer system generates the sets of item association data at least partly by applying an association-rule mining algorithm to transaction data associated with the affiliate sites.

19. The computer system of claim 6, wherein each association rule identifies a first set of items, X1, and a second set of items, X2, and specifies a conditional probability that a purchaser of X1 will also purchase X2.

14. A computer system configured to analyze the performance of affiliate sites that refer users to an electronic commerce site, said computer system comprising one or more computers, said computer system programmed to implement:

an association mining engine that generates, for each of a plurality of categories of affiliate sites, a respective set of item association data that identifies items that are purchased in combination relatively frequently by users referred by affiliate sites falling within the respective category; and

an analysis system that analyzes performance of a particular affiliate site that falls within a first category of said plurality of categories by comparing the set of item association data for said first category to transaction data associated with the particular affiliate site, wherein the particular affiliate site comprises a plurality of item-specific links to the electronic commerce site, each item-specific link corresponding to a respective item represented in an electronic catalog of the electronic commerce site, wherein the analysis system uses the transaction data, in combination with the set of item association data for the first category, to generate a recommendation of at least one additional item-specific link to provide on the particular affiliate site to improve performance.

15. The computer system of claim 14, wherein the analysis system uses the association data and transaction data in combination to detect disparities between expected and actual quantities of specific items purchased by users referred by the particular affiliate site.

16. The computer system of claim 15, wherein the analysis system additionally uses the disparities to generate recommendations of additional items to list on the affiliate site to improve performance.

17. The computer system of claim 14, wherein the computer system is further configured to transmit the recommendation to an affiliate associated with the particular affiliate site.

18. The computer system of claim 14, wherein each set of item association data comprises one or more association rules.

20. The computer system of claim 14, wherein the computer system is additionally programmed to categorize the affiliate sites based on at least one of (a) content of the affiliate sites, and (b) purchases made by users referred by the affiliate sites.

21. The system of claim 14, wherein the association mining engine generates the sets of item association data at least partly by applying an association-rule mining algorithm to transaction data associated with the affiliate sites.

22. The system of claim 14, wherein the computer system is additionally programmed to generate link coding for adding the at least one additional item-specific link to the particular affiliate site, and to communicate said link coding to a corresponding affiliate in connection with the recommendation.

23. Physical computer storage having stored thereon executable code that directs a computer system to perform a method that comprises:

generating, for each of a plurality of categories of affiliate sites, a respective set of item association data that identifies items that are purchased in combination relatively frequently by users referred by affiliate sites falling within the respective category; and

analyzing performance of a particular affiliate site that falls within a first category of said plurality of categories by comparing the set of item association data for said first category to transaction data associated with the particular affiliate site, said particular affiliate site comprising a plurality of item-specific links to an electronic commerce site, each item-specific link corresponding to a respective item represented in an electronic catalog of the electronic commerce site, wherein analyzing the performance of the particular affiliate site comprises using the transaction data, in combination with the set of item association data for the first category, to generate a recommendation of at least one additional item-specific link to provide on the particular affiliate site to improve performance.

24. The physical computer storage of claim 23, wherein the executable code directs the computer system to generate the sets of item association data at least partly by applying an association-rule mining algorithm to transaction data associated with the affiliate sites.

25. The physical computer storage of claim 23, wherein the executable code directs the computer system to generate link coding for adding the at least one additional item-specific link to the particular affiliate site.

26. The physical computer storage of claim 23, wherein the executable code directs the computer system to generate, and to send to an affiliate associated with the particular affiliate site, an electronic report that includes the recommendation.