Targeted advertising system with sequential data enrichment and multi -channel distribution

Abstract

some aspects thereof, the present disclosure describes a targeted advertising system that utilizes sequential data enrichment, multi-channel distribution, dynamic cohort creation, and machine learning-driven ad content and distribution adaptation. The system dynamically generates user cohorts based on ad suitability and continuously adapts ad content and distribution parameters to maximize relevance and effectiveness. The system receives an advertisement with content for distribution and determines a suitable user cohort to receive the advertisement. The machine learning models then adjust the ad parameters, including distribution parameters and content, based on the suitability of the user cohort audience. The adapted advertisement is distributed to the users, and the system infers a user cohort based on the adjusted advertisement content for continuous optimization.