US 11,989,753 B1
Digital advertising platform with demand path optimization
Stephen F. Johnston, Jr., Marietta, GA (US)
Assigned to PUBWISE, LLLP, Atlanta, GA (US)
Filed by Pubwise, LLLP, Atlanta, GA (US)
Filed on Dec. 29, 2023, as Appl. No. 18/400,824.
Application 18/400,824 is a continuation of application No. 18/109,175, filed on Feb. 13, 2023.
Application 18/109,175 is a continuation of application No. 17/686,231, filed on Mar. 3, 2022, granted, now 11,580,572, issued on Feb. 14, 2023.
Application 17/686,231 is a continuation of application No. 16/512,247, filed on Jul. 15, 2019, granted, now 11,288,699, issued on Mar. 29, 2022.
Claims priority of provisional application 62/697,976, filed on Jul. 13, 2018.
This patent is subject to a terminal disclaimer.
Int. Cl. G06Q 30/02 (2023.01); G06N 20/00 (2019.01); G06Q 30/0242 (2023.01); G06Q 30/0273 (2023.01)
CPC G06Q 30/0244 (2013.01) [G06N 20/00 (2019.01); G06Q 30/0275 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A digital advertising system, the system comprising:
one or more processors configured to execute a plurality of functional modules comprising:
an analytics module configured to:
receive client attributes associated with a website visitor and a requested web site;
define an analytics event based on analyzing the client attributes;
a machine learning module configured to:
receive the analytics event associated with the analytics module;
generate a prediction model that indicates a probability of success of a bid prediction for the analytics event, wherein the machine learning module comprises a scheduler configured for periodically generating model data sets and updating models in advance of generating the prediction model;
a management platform comprising a configuration module configured to:
receive the bid prediction; and
generate a candidate config based on the bid prediction;
a deployment module configured to:
receive a script associated with the candidate config; and
deliver the script to the website visitor.