Methods and systems to facilitate keyword bid arbitrage with multiple advertisement placement providers
View Patent ↗A system and method are directed towards identifying advertisement keywords within a variety of content types, identifying similarity rankings of advertisements based on the keywords, and to the guiding of keyword purchases. In one embodiment, a search is performed based in part on defined selection criteria, and/or scheduling rules. Content that may include advertisements is processed to identify advertisement keywords. A similarity ranking of different advertisements based on keywords therein may be determined. The similarity rankings may be used, with keyword pricing data, to identify instances of keyword arbitrage, guide purchase of keywords, and to control traffic flow to and from advertisements to obtain a benefit from price differentials between what one keyword seller charges for a keyword and what a click buyer will, pay for traffic directed to advertisements with the same or related keyword. In one embodiment, a three-dimensional representation is provided indicating relationships between advertisements across websites.
1. A system for managing advertisement placement over a network, comprising:
an orchestrator component, executed by a processor, that is configured and arranged to determine an initial set of network addresses to conduct a search for advertisement related content, and to determine a selection criteria to select advertisement related content from a result of the search; and
a keyword arbitrageur component, executed by the processor, that is configured and arranged to determine a similarity ranking of the selected advertisement related content, and to, based at least in part on the similarity ranking, manage a keyword purchase to obtain a benefit from a price differential between a price offering for a keyword associated with advertisement related content and a payment for the keyword or a related keyword.
2. The system of claim 1 , further comprising:
an arbitrage data store configured to store advertisement related content, cost/return data, and similarity ranking data; and
an interface to the arbitrage data store, the interface configured and arranged to provide at least a three dimensional graphical representation of a relationship between advertisement content within or between network sites.
3. The system of claim 1 , wherein the keyword arbitrageur component is further configured and arranged to providing linked advertisements to keyword sellers.
4. The system of claim 1 , further comprising:
a crawler component coupled to the orchestrator component to conduct the search.
5. A method, comprising:
retrieving, by a processor, a plurality of advertisements from multiple content sources;
identifying, by the processor, keywords of the plurality of advertisements;
determining, by the processor, similarity rankings of the advertisements based at least in part on the keywords;
selecting, by the processor, a keyword based at least in part on the similarity rankings; and
purchasing, by the processor, the keyword from a seller for placement of a first linked advertisement, the first linked advertisement configured to be selected to cause the presentation of a second advertisement of a buyer.
6. The method of claim 5 , wherein the selecting of the keyword is further based on historical cost/return data.
7. The method of claim 6 , further comprising:
presenting relationships between advertisements across websites.
8. The method of claim 7 , wherein the presenting of the relationships comprises a three dimensional graphic wherein a webpage is represented as a node, and a link between two webpages is represented as a line connection nodes representing the two webpages.
9. The method of claim 8 , wherein the three dimensional graphic presents similarity of advertisements via color assignment.
10. The method of claim 5 , further comprising:
determining relatedness rankings of the keywords based on the advertisements.
11. The method of claim 10 , wherein the determining of the relatedness rankings comprises identifying webpages in which advertisements having the keywords are displayed.
12. The method of claim 5 , further comprising:
determining a number of advertisements within a specified similarity ranking to select the keyword.
13. The method of claim 5 , further comprising:
counting a number of advertisements within a specified similarity ranking to select the keyword.
14. The method of claim 5 , further comprising:
counting a number of websites or webpages that display advertisements within a specified similarity ranking to select the keyword.
15. The method of claim 5 , further comprising:
determining a length of time advertisements within a specified similarity ranking are displayed in one or more web pages to select the keyword.
16. The method of claim 5 , further comprising:
identify advertisements displayed in response to requests from a group of internet protocol (IP) addresses to select the keyword.
17. The method of claim 16 , wherein the group of IP address is selected based on a geographic location.
18. The method of claim 5 , further comprising:
dynamically providing the first linked advertisement to a first server for presentation of the first advertisement in a first information page;
paying the seller when the first linked advertisement is selected from the first information page;
providing a second information page to present the second advertisement of a buyer when the first linked advertisement is selected from the first information page;
charging the buyer when the second advertisement is selected from the second information page; and
forwarding a visitor of the second information page to a third information page when the second advertisement is selected from the second information page.
19. The method of claim 18 , further comprising:
tracking a path of the visitor via domain name system (DNS) resolution.
20. A non-transitory machine readable storage medium embodying instructions causing a data processing system to perform a method, comprising:
retrieving a plurality of advertisements from multiple content sources;
identifying keywords of the plurality of advertisements;
determining similarity rankings of the advertisements based at least in part on the keywords;
selecting a keyword based at least in part on the similarity rankings; and
purchasing the keyword from a seller for placement of a first linked advertisement, the first linked advertisement configured to be selected to cause the presentation of a second advertisement of a buyer.