INTERNAL BUSINESS ARBITRAGE

• US 20090259534A1
• Filed: 04/11/2008
• Published: 10/15/2009
• Est. Priority Date: 04/11/2008
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Gournes, Alexander G., Utter, Brian James
• Application Number:
  US12/101,887
• Publication Number:
  US 20090259534A1
• Time in Patent Office: Days
• US Class Current: 705/14.100
• CPC Class Codes: G06Q 20/10 specially adapted for electronic funds transfer [EFT] systems; specially adapted for home banking systems
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0207 Discounts or incentives, e.g. coupons or rebates
• CPC Class Codes: G06Q 30/0247 Calculate past, present or future revenues
• CPC Class Codes: G06Q 30/0283 Price estimation or determination
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions

Abstract

System(s) and method(s) are provided to conduct internal arbitrage within an organization. Within a service platform, a first functional unit oriented to service implementation and a second unit dedicated at least in part to advertisement management trade advertisement trade, the first unit and the second administer advertisement within a first and a second pricing model. Internal arbitrage profits result from the advertisement transaction when the second unit commercialized advertisement with an external advertiser. A pricing conversion component facilitates mapping a first price proposition for an advertisement within the first pricing model to a second pricing proposition for the advertisement within the second pricing model. Internal arbitrage profits can be directed towards financing an intent-based consumer price incentive scheme.

Claims

1. A system that facilitates internal arbitrage of a first price model and a second price model, the system comprising:

a service component that sells an advertisement within a cost-per-click price (CPC) price model, the service component operates within a service platform;

a component that buys the advertisement within the CPC price model and sells the advertisement within a cost-per-action (CPA) model, the component operates with the service platform; and

a conversion component that converts a CPC price proposition to a CPA price proposition to facilitate the sale of the advertisement.

2. The system of claim 1, wherein the service component sells an advertisement within a cost-per-impression (CPM) price model.

3. The system of claim 2, further comprising:

a component buys the advertisement within the CPM price model and sells the advertisement within a CPA model; and

a component converts a CPM price proposition to a CPA price proposition to facilitate the sale of the advertisement.

4. The system of claim 1, further comprising a profit account that stores arbitrage profits from the sale of the advertisement.

5. The system of claim 1, wherein the conversion component includes a bid management component that maps “

clicks”

volume for an advertisement unit to a likelihood of an “

action”

for the advertisement unit to derive a converted price proposition.

6. The system of claim 5, wherein the conversion component includes an optimization component that infers an optimal converted price proposition and an algorithm store that facilitates the optimization.

7. The system of claim 1, further comprising a memory that stores advertisement transaction intelligence.

8. The system of claim 4, wherein the arbitrage profits subsidize at least in part a consumer compensation program.

9. The system of claim 1, further comprising a component that awards a compensation, the component includes:

a component that accounts awarded compensation;

an antifraud component that mitigates fraudulent compensation; and

a component that retains compensation records.

10. The system of claim 1, further comprising:

a component that registers an agent and a set of devices operated by the agent;

a component that extracts intent from received information associated with the registered agent;

the information received at least in one of an offline domain or an online domain;

a component that compensates the agent via advertisement spend in return for the extracted agent'"'"'s intent.

11. A method for conducting internal business arbitrage, the method comprising:

selling an advertisement within a first pricing model established by an operator;

buying an advertisement within the first pricing model;

converting a first price proposition within the first pricing model to a second price proposition in a second pricing model established by the operator; and

selling the advertisement within the second pricing model at the second price proposition.

12. The method of claim 11, the first pricing model is one of a “

cost per click”

(CPC), “

cost per action”

(CPA), “

cost per impression”

(CPM).

13. The method of claim 12, the second pricing model is one of a “

cost per click”

(CPC), “

cost per action”

(CPA), “

cost per impression”

(CPM).

14. The method of claim 13, further comprising:

collecting intelligence on a set of advertisement transactions within a first pricing model; and

selecting a second pricing model for an advertisement transaction; and

optimizing a pricing proposition for the advertisement transaction in the second pricing model based at least in part on the collected intelligence.

15. The method of claim 14, further comprising optimizing a pricing proposition for the advertisement transaction in the second pricing model to maximize at least one of a profit for an advertisement platform, a utility of a device'"'"'s set of media resources, or a response to advertisement in a specific customer segment.

16. The method of claim 13, further comprising mapping “

clicks”

volume for an advertisement unit to a likelihood of an “

action”

for the advertisement unit to derive a converted price proposition

17. The method of claim 11, further comprising acts for intent-based compensation of an agent in exchange for the agent'"'"'s intent in transacting with a service platform, the acts including:

registering an agent;

extracting a commercial intent of the registered agent through at least one of a set of offline expressions or a set of online expressions;

assessing the legitimacy of the extracted commercial intent;

compensating the registered agent in exchange for the agent'"'"'s legitimate commercial intent.

18. The method of claim 17, compensating the registered agent in exchange for the agent'"'"'s legitimate commercial intent further comprising:

conveying an advertisement that carries a compensation based at least in part on the agent'"'"'s commercial intent;

determining an agent'"'"'s action in response to the advertisement;

determining the agent'"'"'s action is an eligible action based at least in part on the advertisement'"'"'s content; and

compensating the agent through at least one of a direct payment or a reward token.

19. The method of claim 17, conveying an advertisement that carries a compensation based at least in part on the agent'"'"'s commercial intent further comprising:

receiving a payment to display the advertisement;

allocating a portion of the payment to compensate an agent based at least in part on an agent'"'"'s commercial intent; and

delivering an advertising associated with the agent'"'"'s commercial intent.

20. A computer-readable medium having code instructions stored thereon that, when executed by a computer, cause the computer to perform the following acts:

selling an advertisement within a first pricing model established by a service platform;

buying an advertisement within the first pricing model;

converting a first price proposition within the first pricing model to a second price proposition in a second pricing model established by the service platform; and

selling the advertisement within the second pricing model at the second price proposition for a profit.