Targeted Ad Display for Uniquely Identifiable Objects
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Solution Overview
Problem
Conventional online publishers lack the ability to effectively distinguish and monetize PPC advertising campaigns for uniquely identifiable objects, such as vehicles or real estate, due to the absence of a centralized service to provide targeted advertisements on third-party digital platforms, leading to inefficient ad targeting and revenue generation.
Innovation Solution
A system and method for displaying sponsored advertisements related to uniquely identifiable objects, where a remote host is queried for relevant ads based on identification information, allowing for real-time verification of pay-per-click budgets and differentiation across various connection mediums, enabling targeted ads to be displayed alongside uniquely identifiable objects on third-party web pages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional online publishers use standard advertisements selected based on keywords or categories, then advertisement delivery is simple and straightforward, but the ability to effectively target uniquely identifiable objects (such as specific vehicles or real estate properties) is lost
Solution Approach 1:
The patent introduces a centralized ad server as an intermediary between publishers and advertisers. This server receives queries containing uniquely identifiable object information from publishers, matches them with relevant ads from its database, and returns targeted advertisements. This mediator enables precise targeting of specific objects (like a particular vehicle or property) without requiring each publisher to build their own complex matching system.
Solution Approach 2:
The patent segments the advertising system into distinct functional components: publishers who display ads, a centralized ad server that manages ad delivery and matching, and advertisers who fund campaigns. The ad server itself is segmented into modules for receiving queries, matching ads based on uniquely identifiable objects, verifying budgets, and returning results. This segmentation allows each component to specialize and improves overall system efficiency.
2Productivity
If publishers display sponsored advertisements for uniquely identifiable objects in real-time, then ad campaign effectiveness and revenue are improved, but system complexity and processing requirements increase
Solution Approach 1:
The ad server performs preliminary actions by pre-loading and indexing advertisement data before real-time queries arrive. Advertisers submit their ads and bidding information in advance, and the system pre-processes this data into searchable formats. When a publisher queries for ads related to a uniquely identifiable object, the matching process is accelerated because the data is already organized and ready, reducing real-time processing complexity.
Solution Approach 2:
The system implements feedback mechanisms where the ad server continuously monitors ad performance, budget consumption, and click-through rates. This feedback information is used to dynamically adjust ad delivery decisions, prioritize high-performing ads, and manage budget allocation. The feedback loop enables the system to handle real-time demands efficiently by learning from past performance patterns.
3Measurement precision
If a centralized service provides targeted advertisements for uniquely identifiable objects, then ad targeting effectiveness improves, but the complexity of managing and verifying PPC budgets across multiple publishers increases
Solution Approach 1:
The centralized ad server is designed as a universal platform that handles multiple functions: ad storage, query processing, budget verification, click tracking, and reporting. This single multi-functional system serves all publishers and advertisers, eliminating the need for each entity to maintain separate budget management systems. The universal architecture simplifies complexity by consolidating functions into one coordinated system.
Solution Approach 2:
The system implements self-service mechanisms where advertisers set their own PPC budgets and bidding parameters through the ad server interface. The automated system continuously monitors budget consumption and stops ad delivery when budgets are exhausted, without requiring manual intervention. Publishers automatically receive relevant ads based on their content, and the system self-regulates budget allocation across all interactions.
4Adaptability or versatility
If advertisements are tailored to specific devices and connection mediums, then user experience and engagement improve, but the complexity of adapting ad delivery across multiple platforms increases
Solution Approach 1:
The system adapts advertisements to different devices by changing parameters such as ad size, format, and delivery timing based on the publisher's device characteristics. The ad server receives information about the requesting device and adjusts ad parameters accordingly - for example, serving smaller ads on mobile devices with limited screen real estate, or different formats for different connection speeds. This parameter-based adaptation allows flexibility without requiring completely separate systems for each device type.
Data Source
AI summary
A publisher web page comprising of any uniquely identifiable object is enhanced with sponsored advertisements related to the uniquely identifiable object. The sponsored advertisements are served from a pre-populated database or are queried in substantially real-time from a remote host. Eligible ads (sponsored termination point, another related uniquely identifiable objects, or a peripheral products or services) can be made available along with each uniquely identifiable object.