System for improving shape-based targeting by using interest level data
View Patent ↗A system for improving shape-based targeting by using interest level data is disclosed. According to one embodiment, a computer-implemented method comprises creating one or more trade zones, wherein creating a trade zone comprises grouping a set of parameters to deliver custom shapes, clustering the custom shapes according to offline data and geographic distribution of IP addresses, and mapping clusters of the custom shapes to IP addresses. Data indicating consumption of a content source is received, the content source having a plurality of tokens. The plurality of tokens is organized according to the one or more trade zones, wherein the one or more trade zones consume the tokens at a calculated rate and the calculated rate is analyzed to determine an interest associated with each trade zone. Targeting is based on a selected trade zone, wherein the selected trade zone is selected based upon a desired interest representative of a desired audience. A targeting request is transmitted including instructions or information associated with the target action, and the target action is performed.
1. A computer implemented method, comprising:
creating one or more trade zones, wherein creating a trade zone comprises
grouping a set of parameters to deliver custom shapes;
clustering the custom shapes according to offline data, online data, and
geographic distribution of IP addresses; and
mapping clusters of the custom shapes to IP addresses;
receiving data indicating consumption of a content source, the content source having a plurality of tokens;
organizing the plurality of tokens according to the one or more trade zones, wherein the one or more trade zones consume the tokens at a calculated rate;
analyzing the calculated rate to determine an interest associated with each trade zone;
targeting based on a selected trade zone, wherein the selected trade zone is selected based upon a desired interest representative of a desired audience;
transmitting a targeting request including display instructions and information associated with a target action; and
performing the target action.
2. The computer-implemented method of claim 1 , wherein online data and offline data associated with the one or more trade zones are independent of cookies.
3. The computer-implemented method of claim 1 , wherein the custom shapes are independent of geographic location.
4. The computer-implemented method of claim 1 , wherein offline data comprises demographic data, point of sale data, and business information data.
5. The computer-implemented method of claim 1 , wherein online data comprises page content, user clicks, advertisement impressions, and pages visited.
6. The computer-implemented method of claim 1 , wherein targeting based on the selected trade zone results in properly targeted actions, wherein properly targeted actions reach only the desired audience.
7. The computer-implemented method of claim 1 , wherein a trend of an interest for a trade zone is calculated, wherein the trend is one of upward or downward.
8. The computer-implemented method of claim 1 , wherein a token is one of a word, a word pair, a phrase, or a sentence.
9. The computer-implemented method of claim 1 , wherein the calculated rate is determined by multiplying a first number of times a content source was viewed by second number of occurrences of a chosen token in the content source.
10. The computer-implemented method of claim 1 , wherein the content source is one of a webpage, a purchased server log, a mobile application, a television programming transcript, or an on-demand video selection.
11. A system, comprising:
a server, hosting a first webpage, in communication with a network, wherein a client system is accessing the first webpage via the network; and
a targeting system in communication with the network, the targeting system creating one or more trade zones, wherein creating a trade zone comprises grouping a set of parameters to deliver custom shapes;
clustering the custom shapes according to offline data, online data, and
geographic distribution of IP addresses; and
mapping clusters of the custom shapes to IP addresses;
receiving data indicating consumption of a content source, the content source having a plurality of tokens;
organizing the plurality of tokens according to the one or more trade zones, wherein the one or more trade zones consume the tokens at a calculated rate;
analyzing the calculated rate to determine an interest associated with each trade zone;
targeting based on a selected trade zone, wherein the selected trade zone is selected based upon a desired interest representative of a desired audience;
transmitting a targeting request including display instructions and information associated with a target action; and
performing the target action.
12. The system of claim 11 , wherein online data and offline data associated with the one or more trade zones are independent of cookies.
13. The system of claim 11 , wherein the custom shapes are independent of geographic location.
14. The system of claim 11 , wherein offline data comprises demographic data, point of sale data, and business information data.
15. The system of claim 11 , wherein online data comprises page content, user clicks, advertisement impressions, and pages visited.
16. The system of claim 11 , wherein targeting based on the selected trade zone results in properly targeted advertisement impressions, wherein properly targeted advertisement impressions reach only the desired audience.
17. The system of claim 11 , wherein a trend of an interest for a trade zone is calculated, wherein the trend is one of upward or downward.
18. The system of claim 11 , wherein a token is one of a word, a word pair, a phrase, or a sentence.
19. The system of claim 11 , wherein the calculated rate is determined by multiplying a first number of times a content source was viewed by second number of occurrences of a chosen token in the content source.
20. The system of claim 11 , wherein the content source is one of a second webpage, a purchased server log, a mobile application, a television programming transcript, or an on-demand video selection.
21. The system of claim 11 , further comprising a real-time bidding system and a plurality of real-time bidders in communication with the network, wherein the targeting system targets acquires impressions from the real-time bidders for serving advertisements.
22. The system of claim 11 , further comprising a publisher site in communication with the network, wherein the publisher site uses the targeting system to perform target actions for the publisher site's audiences.
23. The system of claim 11 , wherein a target action is one of serving content, serving video, serving a page view, serving an advertisement, or serving a game.