System and method for linking qualified audiences with relevant media advertising through IP media zones
The system links Internet web page context with audience usage and location data to support advertising efficiency and effectiveness. An ontology of categories is created where domains and website pages are classified and scored against the links on those pages and the meta-tag key word pools that are harvested from those web pages. An ontology of high level categories are derived from the frequency of the key words appearing within the domain URL addresses of the pages, the domain of the links on those pages or within the content of the pages themselves. A method includes building a training set of web pages from a plurality of ad networks and sites where the system captures impressions in the form of real-time bids as well as click through events that include the IP address, the domain, the time of day and day of week, ad size and position, browser type, and bid amount whereby the training set is aggregated in a database whereby successful bids can be used in combination with audience and category attributes to model and score impression bids that combine the optimal mix of audience attributes, location, categorical affinity and bid price.
1. A method for linking qualified audiences with relevant media advertising, the method comprising the steps of:
building a training set of Impression, Click Events via domains, site URLs, from a plurality of ad networks and sites;
using the training set from a plurality of ad networks and sites where an IP address of a user, a domain, a time of day and a day of week, ad size and position, browser type are captured;
mapping the IP address of the training set to a respective IP zone;
enhancing each of the IP zones with a series of statistically indexed scores that include one or more of the plurality of categories, user types, Meta-tag key words, time or device type having a predetermined statistical relationship with both a real-time bid address and a respective IP Zone audience; and
appending the training set, including Meta-tag key words, domain, site URLs, demographic profile of the user, category, time of day, day of week, ad position and size, bid value to each IP zone as a series of indexed scores.
2. A system for linking qualified audiences with relevant media advertising, comprising:
a memory having program instructions stored thereon; and
a processor configured to:
build a training set of Impression, Click Events via domains, site URLs, from a plurality of ad networks and sites;
use the training set from a plurality of ad networks and sites where an IP address of a user, a domain, a time of day and a day of week, ad size and position, browser type are captured;
map the IP address of the training set to a respective IP zone;
enhance each of the IP zones with a series of statistically indexed scores that include one or more of the plurality of categories, user types, Meta-tag key words, time or device type having a predetermined statistical relationship with both a real-time bid address and a respective IP Zone audience; and
append the training set, including Meta-tag key words, domain, site URLs, demographic profile of the user, category, time of day, day of week, ad position and size, bid value to each IP zone as a series of indexed scores.
3. A non-transitory computer readable medium containing program instructions for causing a computer to perform the method of:
building a training set of Impression, Click Events via domains, site URLs, from a plurality of ad networks and sites;
using the training set from a plurality of ad networks and sites where an IP address of a user, a domain, a time of day and a day of week, ad size and position, browser type are captured;
mapping the IP address of the training set to a respective IP zone;
enhancing each of the IP zones with a series of statistically indexed scores that include one or more of the plurality of categories, user types, Meta-tag key words, time or device type having a predetermined statistical relationship with both a real-time bid address and a respective IP Zone audience; and
appending the training set, including Meta-tag key words, domain, site URLs, demographic profile of the user, category, time of day, day of week, ad position and size, bid value to each IP zone as a series of indexed scores.