Automated User Segment Selection for Online Ad Networks
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Solution Overview
Problem
Existing online ad networks face challenges in selectively targeting user segments across various publisher websites, leading to inefficiencies in ad delivery, increased costs, and potential errors in managing user segment targeting.
Innovation Solution
A system and method for automatically determining which user segments should be targeted for ad delivery on each publisher website, using user segment selection logic, a database to store results, and targeted user identification logic to access and apply these determinations, thereby optimizing ad network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual management of user segment targeting is used across publisher websites, then flexibility in ad delivery can be maintained, but costs and time consumption increase significantly
Solution Approach 1:
The system performs automatic user segment selection and ad delivery determination without requiring manual intervention. The processor autonomously analyzes user data, identifies relevant user segments, and determines optimal ad delivery decisions, allowing the system to serve itself rather than requiring continuous human management.
Solution Approach 2:
The patent replaces manual mechanical management processes with an automated computational system. The processor-based system substitutes human operators by automatically executing the complete workflow of user segment identification and ad delivery determination through algorithmic processing of user data and publisher website information.
2Productivity
If automated user segment selection is implemented, then time and cost efficiency improve, but system complexity increases
Solution Approach 1:
The processor-based system performs multiple functions within a single integrated platform: it processes user data, identifies user segments, analyzes publisher website characteristics, and determines ad delivery decisions. This multi-functional approach consolidates what would otherwise require separate systems into one universal platform, managing complexity through integration rather than proliferation of components.
Solution Approach 2:
The system introduces a processor-based intermediary layer between raw user data and ad delivery decisions. This intermediary automatically processes and structures the data, identifies patterns and user segments, and translates complex data relationships into actionable ad delivery determinations, simplifying the overall system architecture through a central coordinating component.
3Reliability
If selective targeting of user segments is pursued to improve ad performance, then ad network performance increases, but the complexity of managing targeting across multiple publisher websites increases
Solution Approach 1:
The system divides the user population into distinct user segments based on analyzed characteristics and behaviors. By segmenting users into specific groups with shared attributes, the system can apply targeted ad delivery strategies to each segment independently, improving ad performance while managing complexity through organized classification rather than handling all users as a single homogeneous group.
Solution Approach 2:
The system applies different ad delivery strategies and targeting approaches to different user segments and publisher websites based on their specific characteristics. Rather than using a uniform approach everywhere, the system tailors its behavior locally to match the specific properties of each user segment and publisher, optimizing performance for each context while maintaining overall system coherence.
Data Source
AI summary
A system, method and computer program product is provided that automatically selects certain user segments for and excludes certain user segments from receiving online advertisements (“ads”) via various publisher Web sites included within an online ad network. By automatically determining which user segments should be targeted for the delivery of online ads on each publisher Web site, an embodiment of the present invention can advantageously increase the performance of the online ad network while reducing the amount of cost, time and potential errors involved in managing the network.