Ad Exchange Device Targeting via Managed Relationships
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Solution Overview
Problem
Existing advertising techniques often result in wasteful bulk purchases of ad space, as they fail to effectively target specific viewer information, leading to reduced sales of advertised products or services.
Innovation Solution
Implementing targeted ad buys by leveraging relationships between advertisers and publishers, using real-time user data and web page information to selectively activate ad campaigns based on user behavior, location, and interests, allowing for dynamic pricing and placement optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If bulk purchases of ad space are made, then ad inventory is acquired efficiently, but ad relevance to viewers deteriorates
Solution Approach 1:
The patent segments bulk ad purchases into individual ad opportunities, evaluating each against real-time viewer information. Instead of treating all ad space uniformly, the system divides the ad inventory into discrete units that can be individually assessed and purchased based on specific viewer characteristics, thereby maintaining purchase efficiency while improving ad relevance.
Solution Approach 2:
The patent introduces dynamic decision-making into the ad purchase process. Rather than static bulk purchases, the system continuously evaluates viewer information and adjusts ad purchase decisions in real-time. This dynamic approach allows the system to optimize ad relevance while maintaining efficient acquisition of ad inventory through automated real-time bidding.
2Loss of information
If targeted ad purchases are implemented, then ad relevance to viewers is improved, but ad purchase complexity increases
Solution Approach 1:
The patent introduces an intermediary system that manages the complexity of targeted ad purchases. This intermediary layer processes viewer information, evaluates ad opportunities, and executes purchases automatically. By inserting this intermediary between the advertiser and the complex targeting requirements, the system handles information utilization effectively while shielding users from the underlying complexity through automated decision-making.
Solution Approach 2:
The patent implements self-service mechanisms where the ad purchase system automatically evaluates and purchases ads based on predefined criteria and real-time viewer information. The system serves itself by making autonomous purchase decisions without requiring manual intervention for each ad opportunity, thereby managing complexity internally while delivering targeted advertising benefits.
3Reliability
If real-time viewer information is used, then ad effectiveness is increased, but data processing requirements increase
Solution Approach 1:
The patent applies partial action by selectively processing only the most relevant viewer information for each ad opportunity rather than analyzing all available data. The system identifies and processes key data elements that have the highest impact on ad effectiveness, avoiding unnecessary processing of less relevant information. This approach maintains high ad sales effectiveness while reducing overall data processing energy requirements through focused, selective analysis.
Data Source
AI summary
Certain embodiments herein relate to targeting ads for purchase by leveraging relationships between advertisers and publishers. Ad campaigns may be established between an ad device associated with an advertiser and publisher devices associated with publishers. An ad campaign for displaying an ad may be determined based on information associated with a communication session from a user device (e.g., as identified in a cookie) and/or information associated with a user utilizing the user device. An ad device may activate one or more established ad campaigns as part of an auction process, and may subsequently provide one or more ads for displaying on a web page according to attributes that may characterize the ad campaigns.