Contextual Ad Injection System for Web Pages
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Solution Overview
Problem
Current web and mobile device advertising faces challenges such as 'banner blindness,' low ad click rates, lack of analytical standards, and non-personalized ads, leading to consumer dissatisfaction and low revenue for publishers.
Innovation Solution
An improved advertising system that allows users to receive personalized ads, enables merchants to bid on ad placement, and uses data analytics to select ads based on user behavior and context, allowing transactions to be completed without redirecting users from their current page, with features like decaying pricing rules and social media integration for targeted advertising.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional banner ads are displayed on web pages, then advertisers can reach consumers, but consumers ignore the ads due to banner blindness
Solution Approach 1:
The patent applies dynamics by transitioning from static banner ads to dynamic, contextual ad placements that adapt to user behavior and page content. Ads are injected at specific locations within the web page based on real-time analysis of user interactions and page structure, making them more engaging and less likely to be ignored.
Solution Approach 2:
The patent introduces an intermediary system (ad injection system) that acts as a mediator between advertisers and consumers. This system analyzes web pages and user behavior, then strategically places ads within the page content rather than as separate banners, effectively bridging the gap between advertising intent and consumer attention.
2Object-affected harmful factors
If ads are displayed as separate pop-up windows, then ads are more visible, but users experience interruption and seek ad blockers
Solution Approach 1:
The patent merges ads with the web page content itself, injecting ad elements directly into the page structure rather than displaying them as separate pop-up windows. This integration allows ads to be viewed within the natural flow of the webpage, maintaining visibility while eliminating the disruptive pop-up experience that prompts users to install ad blockers.
3Object-affected harmful factors
If interstitial pages are shown before desired content, then ad visibility increases, but user waiting time increases
Solution Approach 1:
The patent applies preliminary action by analyzing web page structure and user behavior patterns in advance to predict optimal ad placement locations. Rather than forcing users to wait for interstitial pages, the system pre-determines where ads should appear within the page content based on previous user interactions and page navigation patterns, allowing ads to be displayed immediately without additional waiting time.
4Productivity
If ads are not personalized, then ad delivery is simple, but ad relevance to consumers is low
Solution Approach 1:
The patent implements feedback mechanisms that continuously monitor user interactions with the web page and ad elements. This feedback data is used to refine ad placement decisions and personalize future ad deliveries, improving ad relevance while maintaining efficient delivery through automated analysis of user behavior patterns and page engagement metrics.
Data Source
AI summary
Techniques and systems for selecting advertisements for dissemination over a network are disclosed. In one embodiment, an advertisement service stores information indicative of offers from merchants, including information indicating an amount of revenue that the offering merchant would be willing to share with the advertisement service if a consumer consummates a transaction with the merchant based on the good or service advertised in the offer. The service computes predicted conversion rates for these offers, and uses the predicted conversion rates and the revenue sharing information to select an advertisement for dissemination according to which advertisement is expected to generate the greatest amount of revenue for the advertisement service. The predicted conversion rate can be based on various features, including physical location of the consumer, the consumer's preferences on a third-party information sharing service, amount of discount reflected in the offer, the customer service rating of the merchant, etc.


