WEB AND MOBILE DEVICE ADVERTISING

• US 20120166267A1
• Filed: 09/25/2011
• Published: 06/28/2012
• Est. Priority Date: 12/24/2010
• Status: Active Grant

• Current Assignee: Clover Network, Inc. (Fiserv Incorporated)
• Original Assignee: Clover Network, Inc. (Fiserv Incorporated)
• Inventors: Beatty, John D., Speiser, Leonard R., Speiser, Michael L.
• Granted Patent: US 10,235,688 B2
• Time in Patent Office: Days
• US Class Current: 705/14.21
• CPC Class Codes: G06Q 30/0219 based on funds or budget
• CPC Class Codes: G06Q 30/0247 Calculate past, present or future revenues

Abstract

Techniques and systems for selecting advertisements for dissemination over a network are disclosed. In one embodiment, an advertisement service stores information indicative of offers from merchants, including information indicating an amount of revenue that the offering merchant would be willing to share with the advertisement service if a consumer consummates a transaction with the merchant based on the good or service advertised in the offer. The service computes predicted conversion rates for these offers, and uses the predicted conversion rates and the revenue sharing information to select an advertisement for dissemination according to which advertisement is expected to generate the greatest amount of revenue for the advertisement service. The predicted conversion rate can be based on various features, including physical location of the consumer, the consumer'"'"'s preferences on a third-party information sharing service, amount of discount reflected in the offer, the customer service rating of the merchant, etc.

Claims

1. A method, comprising:

a computer system of an advertisement service storing information indicative of an offer from a merchant, wherein the merchant is distinct from the advertisement service; and

the computer system selecting an advertisement to display to a consumer, wherein the selected advertisement is based on the stored information, and wherein the advertisement is selected based on the predicted revenue to be received by the advertisement service if a transaction based on the selected advertisement is consummated with the consumer.

2. The method of claim 1, wherein the predicted revenue for the selected advertisement is computed based on:

a predicted conversion rate for the consumer; and

an indication of actual revenue to be shared with the advertisement service by the merchant if a transaction based on the selected advertisement is consummated.

3. The method of claim 2, wherein the predicted conversion rate is computed by multiplying the predicted conversion rate for the selected advertisement by the indication of actual revenue to be shared.

4. The method of claim 3, wherein the advertisement is selected from a plurality of offers received by the computer system, and wherein said selecting includes:

ranking those ones of the plurality of offers that are above a minimum predicted conversion rate, wherein the ranked offers are ranked according to predicted revenue to the advertisement service; and

selecting the highest-ranked offer to display to the consumer.

5. The method of claim 2, wherein the predicted conversion rate for the selected advertisement is computed based on a current physical location of the consumer.

6. The method of claim 2, wherein the predicted conversion rate for the selected advertisement is computed based on a current time of day or a current day of the week.

7. The method of claim 2, wherein the predicted conversion rate for the selected advertisement is computed based on distance between the consumer and a merchant corresponding to the given offer.

8. The method of claim 2, wherein the predicted conversion rate for the selected advertisement is computed based on a user preference for a type of merchant.

9. The method of claim 2, wherein the predicted conversion rate for the selected advertisement is computed based on preferences of other consumers linked to the consumer via a third-party information sharing service.

10. The method of claim 2, wherein the predicted conversion rate for the selected advertisement is computed based on an amount of discount specified by the offer.

11. The method of claim 2, wherein the predicted conversion rate for the selected advertisement is computed based on a customer service rating of a merchant corresponding to the given offer.

12. The method of claim 1, wherein the selected advertisement is selected from a plurality of offers as having the highest predicted revenue for the advertisement service, the method further comprising:

after selecting the advertisement, the computer system determining a required amount of revenue required to be shared by the merchant with the advertisement service, wherein the required amount of revenue is less than the predicted revenue for the advertisement.

13. The method of claim 12, wherein the required amount of revenue is reduced based on information in an offer of the plurality of offers having a next-highest predicted revenue.

14. A non-transitory computer-readable medium storing program instructions that are executable by a computer system of an advertisement service to:

determine, for an advertisement of a merchant, an amount of predicted revenue to be shared with the advertisement service by the merchant if a transaction based on the advertisement is consummated with a consumer; and

select the advertisement to be sent to the consumer for display, wherein the advertisement is selected based on the amount of predicted revenue.

15. The non-transitory computer-readable medium of claim 14, wherein the program instructions are executable to determine the amount of predicted revenue based on:

a predicted conversion rate for the advertisement and the consumer; and

an amount of actual revenue to be shared with the advertisement service by the merchant if a transaction based on the advertisement is consummated.

16. The non-transitory computer-readable medium of claim 14, wherein the program instructions are executable to determine the predicted conversion rate based on information representative of historical purchase/no-purchase decisions made by users of the advertisement service.

17. The non-transitory computer-readable medium of claim 15, wherein the advertisement is selected from a plurality of advertisements stored by the computer system, and wherein the program instructions are executable to select the advertisement having the highest predicted revenue to display to the consumer.

18. The non-transitory computer-readable medium of claim 17, wherein the program instructions are executable to reduce an amount of actual revenue to be shared with the advertisement service by the merchant based on an amount of predicted revenue for an advertisement of the plurality of advertisements having a next-highest predicted revenue.

19. A computer system, comprising:

one or more processors;

memory storing program instructions executable by the one or more processors to;

determine information indicative of a plurality of merchant offers, wherein the determined information indicates, for ones of the plurality of merchant offers, an amount of predicted revenue for an advertising service if a transaction with a consumer is consummated;

select an advertisement based on one of the plurality of merchant offers, wherein the advertisement is selected for the consumer based on the determined information indicating the predicted revenue for the advertising service for that advertisement.

20. The computer system of claim 19, wherein the amount of predicted revenue is computed by multiplying a predicted conversion rate for the advertisement by an amount of actual revenue that the merchant specifies will be shared with the advertising service for a consummated consumer transaction based on the advertisement.