Ad Space Broker System for Automated Campaign Optimization
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Solution Overview
Problem
Advertisers face challenges in optimizing their advertising budgets due to the vast number of web sites available for hosting advertisements, leading to suboptimal placement choices that result in lower return on investment.
Innovation Solution
An ad space broker system that matches advertiser orders with publisher web sites based on demographic, behavioral, geographic, and technological targeting information, using a database-driven approach to enable efficient booking of advertisement placements across suitable web sites or networks, optimizing ad placement pricing through CPM calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If advertisers manually select web sites for advertisement hosting, then they can control placement choices, but they cannot optimize advertising budgets due to the vast number of available web sites
Solution Approach 1:
The patent introduces an ad space broker system as an intermediary between advertisers and publisher web sites. This broker automatically matches advertisement orders with suitable publisher web sites using database-driven approaches and targeting criteria, eliminating the need for advertisers to manually evaluate countless web sites while optimizing advertising budget allocation.
Solution Approach 2:
The system enables automatic self-service matching where the ad space broker autonomously evaluates publisher web sites against advertiser criteria and selects optimal placements without human intervention. This automated process handles the complexity of matching ads to appropriate web sites based on demographic, behavioral, geographic, and technological targeting information.
2Reliability
If advertisers choose web sites without proper targeting information, then the process is simpler, but the return on investment decreases due to suboptimal placement
Solution Approach 1:
The system performs preliminary actions by pre-establishing database-driven profiles of publisher web sites with their demographic, behavioral, geographic, and technological characteristics. When advertisers place orders, the ad space broker quickly matches them with pre-evaluated web sites that meet the targeting criteria, ensuring high ROI without requiring advertisers to conduct complex analysis themselves.
Solution Approach 2:
The patent implements feedback mechanisms where the system continuously learns from placement performance data. By analyzing which web sites generate better returns for specific advertiser profiles, the system refines its matching algorithms over time, improving reliability of ROI while managing system complexity through data-driven optimization.
3Measurement precision
If the system evaluates all publisher web sites for each advertisement order, then optimal placement is achieved, but the time and computational resources increase significantly
Solution Approach 1:
The patent segments the vast pool of publisher web sites into categorized groups based on their characteristics (demographic, behavioral, geographic, technological profiles). This segmentation allows the ad space broker to quickly filter and evaluate only relevant segments for each advertisement order, maintaining high matching accuracy while significantly reducing evaluation time and computational resources.
Solution Approach 2:
The system employs partial action by evaluating only the most relevant subset of publisher web sites for each advertisement order rather than exhaustively analyzing all available web sites. The ad space broker uses targeting criteria to identify and focus on the most promising matches, achieving sufficient placement accuracy without the time cost of complete evaluation.
Data Source
AI summary
A method for organizing an advertising campaign in an Internet environment is provided. The method may include displaying, on a display device, a list of web sites that have attributes that match received selection criteria. The method may also include selecting at least one web site in the list and specifying purchasing information for purchasing advertising space on the at least one web site, associating the at least one web site and the specified purchasing information with an ad group. The web sites in the ad group may have attributes that match the received selection criteria. The ad group may be stored in a memory. The selection criteria may have come by way of an order from an advertiser and may include advertising space position information, demographic information, behavioral information, geographic information, technology information, and web site content information.