Click Fraud Prevention via Cross-Engine Pattern Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for detecting and preventing click fraud in pay-for-placement search engine marketing are inadequate as they often require software installation on web servers, do not analyze click patterns across multiple search engines, and lack integration with website advertising management systems, making them cumbersome and ineffective.
Innovation Solution
A computerized advertising management system that receives clicks from search engines, redirects them to target websites, analyzes user behavior data, and uses a click analysis application to detect fraudulent clicks across multiple search engines, modifying bids and advertisements to prevent fraud without requiring software installation on web servers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If software installation on web servers is required for click fraud detection, then detection capability is improved, but ease of operation deteriorates
Solution Approach 1:
The patent introduces an intermediary service provider that performs click fraud detection without requiring installation on web servers. The service provider analyzes click data received from search engines and websites to identify fraudulent patterns, acting as a mediator between search engines, websites, and advertisers. This resolves the contradiction by maintaining detection capability while eliminating the need for software installation on web servers.
2Measurement precision
If click analysis is limited to single search engine, then system complexity is reduced, but detection accuracy deteriorates
Solution Approach 1:
The patent implements a universal click analysis system that handles clicks from multiple search engines (e.g., Yahoo!, Google, MSN, Ask) through a single integrated platform. The service provider aggregates and analyzes click data across different search engines to identify fraudulent patterns that may span multiple sources, improving detection accuracy without requiring separate analysis systems for each search engine.
3Productivity
If no integration with advertising management systems, then device complexity is reduced, but productivity deteriorates
Solution Approach 1:
The patent merges click fraud detection functionality with advertising management systems by integrating the service provider into the existing infrastructure. The system receives click data from search engines, analyzes it for fraud, and provides reports to advertisers through the advertising management platform, combining multiple functions (data collection, analysis, and advertiser communication) into a unified system that improves productivity.
4Measurement precision
If manual analysis of click patterns is used, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent implements automated self-service click fraud detection where the system automatically collects, analyzes, and reports on click patterns without requiring manual intervention. The service provider continuously monitors click data, identifies fraudulent patterns using automated algorithms, and generates reports for advertisers, eliminating the need for manual analysis while maintaining precision and reducing time loss.
Data Source
AI summary
A click fraud prevention system and method that analyzes click patterns across multiple search engines and integrates with a website advertising management system that manages advertisements and bids across multiple search engines.