US 11,734,724 B1
System and method for linking qualified audiences with relevant media advertising through ip media zones
Raymond R. Kingman, Jr, Newburyport, MA (US); Brian K. Rivard, Newbury, MA (US); and Daniel V. Ostertag, Tewksbury, MA (US)
Assigned to Semcasting, Inc., North Andover, MA (US)
Filed by Semcasting, Inc., North Andover, MA (US)
Filed on Feb. 10, 2020, as Appl. No. 16/786,914.
Application 16/786,914 is a continuation of application No. 14/217,301, filed on Mar. 17, 2014, granted, now 10,559,009, issued on Feb. 11, 2020.
Claims priority of provisional application 61/798,281, filed on Mar. 15, 2013.
Int. Cl. G06Q 30/00 (2023.01); G06Q 30/0251 (2023.01); G06Q 30/0242 (2023.01); G06Q 30/0241 (2023.01)
CPC G06Q 30/0269 (2013.01) [G06Q 30/0242 (2013.01); G06Q 30/0254 (2013.01); G06Q 30/0277 (2013.01)] 9 Claims
OG exemplary drawing
 
4. A computer-implemented system using real-time impression data and real-time click through and conversion data, the system comprising:
a computer processor and associated memory having program instructions stored thereon; the processor being configured to:
capture IP Address, site URL, time of day, day of week, browser type, creative ad size and position, and bid price from the real-time impression data and real-time click through and conversion data;
map the IP Addresses with a predetermined relationship to the plurality of site URLs to respective IP zones, wherein the IP Address, site URL, time of day, day of week, browser type, creative ad size and position, and bid price are appended with category and domain to each IP zone;
enhance each of the plurality of IP zones with a series of normalized scores for the metadata indexed score values derived elements calculated by the computer from frequency distributions of domain and site URLs by zone and by category, and
enhance each of the plurality of IP zones by frequency of population by Zone and by Category for browser types, device type, IP Zone user type, high bid price, low bid price, average bid price, ad size and position, day of week and time of day, each having a predetermined relationship with the real-time impression data and real-time click through and conversion data as mapped to the IP Zone audience; and
each of the normalized scores, respectively, for each the IP Zone being obtained based on the formula

OG Complex Work Unit Math
and
wherein each of the IP Zone normalized scores is aggregated based on the scale for each piece of metadata.