US 12,169,849 B2
System and process to create a lookalike model for a target audience to deliver advertisements
David Shor, Chicago, IL (US); Stephen Hoover, Chicago, IL (US); Caitlin Malone, Chicago, IL (US); Michael Sadowsky, Chicago, IL (US); Zachary Krislov, Washington, DC (US); and Evan Sadler, Chicago, IL (US)
Assigned to Civis Analytics, Inc., Chicago, IL (US)
Filed by Civis Analytics, Inc., Chicago, IL (US)
Filed on Dec. 22, 2022, as Appl. No. 18/087,607.
Application 18/087,607 is a continuation of application No. 16/214,560, filed on Dec. 10, 2018, granted, now 11,538,061.
Prior Publication US 2023/0125114 A1, Apr. 27, 2023
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 30/0251 (2023.01)
CPC G06Q 30/0245 (2013.01) [G06N 20/00 (2019.01); G06Q 30/0269 (2013.01)] 16 Claims
OG exemplary drawing
 
1. A method, comprising:
selecting survey data from a survey database that relates to an advertisement;
training a model to predict heterogeneous treatment effects on the survey data, wherein the model rank-orders individuals by treatment effect;
identifying persuadable customers from the survey database for the advertisement based on the rank-ordering;
generating a customer list using personally identifiable information for the persuadable customers in the survey database; and
directing the advertisement to a networking website, wherein a subset of users of the networking website that shares characteristics with customers on the customer list is selected to receive the advertisement.