Ad Positioning and Cost Determination via Performance Metrics

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Solution Overview

Problem

Advertisers face challenges in managing their advertising costs effectively due to unfair bidding processes and the lack of incentives for targeting ads accurately, leading to wasted investments and compromised relevancy in online advertising.

Innovation Solution

An advertising system that uses accepted maximum ad bid information and performance metrics to determine ad positioning and cost, ensuring fair bidding and minimizing the amount paid by winners to maintain their ad preference, while also considering user interest and conversion rates.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If advertisers use popular Web sites as conduits to reach a large audience, then the reach of advertisements is improved, but the return on advertisement investment deteriorates

Engineering Contradiction:
Improvereach of advertisementsVSAvoidreturn on advertisement investment
Core Design Contradiction:
Quantity of substanceVSLoss of energy

Solution Approach 1:

The patent applies local quality by transitioning from uniform ad placement across popular websites to targeted ad placement based on specific performance metrics and audience characteristics. Ads are selectively positioned on specific websites or sections that demonstrate higher conversion rates, click-through rates, or audience relevance, rather than distributing ads uniformly across all high-traffic sites. This allows advertisers to concentrate their investment on locations that deliver measurable returns while maintaining broad reach.

Inventive Principle:
Principle #3Local quality

2Quantity of substance

If Web site hosts place advertising revenues over the interests of users, then ad revenue is improved, but user experience deteriorates

Engineering Contradiction:
Improvead revenueVSAvoiduser experience
Core Design Contradiction:
Quantity of substanceVSObject-affected harmful factors

Solution Approach 1:

The patent implements feedback mechanisms that monitor user interactions with advertisements, including click-through rates, conversion rates, and engagement metrics. This feedback loop allows the system to identify which ads are genuinely valuable to users and which are merely revenue-generating distractions. Based on this feedback, the system dynamically adjusts ad placement, frequency, and targeting to maximize revenue while maintaining or improving user experience by showing users ads they are actually interested in.

Inventive Principle:
Principle #23Feedback

3Ease of manufacture

If advertisers use cost-per-click schemes, then payment efficiency is improved, but ad relevancy deteriorates

Engineering Contradiction:
Improvepayment efficiencyVSAvoidad relevancy
Core Design Contradiction:
Ease of manufactureVSManufacturing precision

Solution Approach 1:

The patent extends the traditional cost-per-click metric by incorporating multiple performance parameters into the pricing and selection mechanism. Instead of relying solely on click-through rate, the system considers conversion rates, engagement depth, audience quality, and other relevant metrics when determining ad placement and pricing. This multi-parameter approach allows the system to maintain payment efficiency while significantly improving ad relevancy by selecting ads that perform well across multiple dimensions of success, not just clicks.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS7844493B1Automated price maintenance for use with a system in which advertisements are rendered with relative preference based on performance information and price information
Publication Date: 2010.11.30 GOOGLE LLC
  • US7844493B1 patent drawing
  • US7844493B1 patent drawing
  • US7844493B1 patent drawing

AI summary

A cost maintenance scheme useful with an advertising system which orders ads in a manner that maximizes both their relevance and their economic value, and which provides a fair bidding process in which a winning bidder is assured of not having paid too much. Ordering may be done based on accepted maximum ad bid information and/or ad performance information. For example, this information may be used to determine a position value. Cost may be determined based on accepted maximum ad bid information and/or performance information. Billing the determined cost may be subject to a condition precedent.