Online Content Collection System for Ad Creative Validation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing online advertising systems face challenges in efficiently tracking and validating creative URLs and click-throughs across multiple websites, including determining their validity and eliminating redundant analysis, while also capturing and analyzing creatives and click-throughs from the internet.
Innovation Solution
An online content collection system that scans websites to retrieve potential creative URLs, analyzes their validity by comparing against stored data, and downloads creatives and click-throughs, using regular expressions and failover capabilities to ensure comprehensive and efficient data collection, including detection within Iframes and recursive scanning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If comprehensive scanning of multiple websites is performed to track creatives, then the completeness of ad campaign monitoring is improved, but the time and computational resources required increase significantly
Solution Approach 1:
The system performs preliminary actions by maintaining a database of previously seen creative URLs and clickthrough URLs. Before analyzing new URLs, the system checks against this pre-existing database to quickly identify and eliminate duplicates, avoiding redundant scanning and validation processes while maintaining comprehensive monitoring coverage
Solution Approach 2:
The system creates and maintains a copy of creative URL data in a structured database format. This copied data serves as a reference repository that enables rapid comparison and identification of duplicate creatives across multiple website scans, significantly reducing the time required for comprehensive ad campaign tracking
2Measurement precision
If all retrieved creative URLs are analyzed in detail to ensure validity, then the accuracy of creative validation is improved, but the processing time and system complexity increase
Solution Approach 1:
The system uses a copied reference database of previously validated creative URLs to quickly filter and identify potential duplicates before performing detailed analysis. This two-stage approach (quick copy-based filtering followed by detailed validation only when necessary) maintains high validation accuracy while reducing overall processing complexity
Solution Approach 2:
The system extracts and isolates only the URL identification and comparison function into a separate database lookup process. This extraction allows the main validation system to focus on detailed analysis only for non-duplicate URLs, reducing the complexity burden on the overall system while maintaining accurate validation
3Productivity
If the system stores and compares all creative URLs against a comprehensive database, then the ability to eliminate redundant analysis is improved, but the data storage requirements and processing overhead increase
Solution Approach 1:
The system maintains a copied database of creative URL identifiers that serves as a reference for rapid duplicate detection. This compact copied database enables efficient elimination of redundant analysis across multiple website scans while using minimal storage resources compared to storing complete creative assets
Solution Approach 2:
The system extracts only the essential URL identifier information from complete creative data and stores this extracted key information in the database. This extraction approach enables effective duplicate detection with minimal storage requirements, as only the identifying URL string is retained rather than complete creative assets
Data Source
AI summary
An online content collection system includes a scanning server to scan web sites to retrieve a potential creative uniform resource locator (URL). The scanning and retrieving includes parsing web pages for the web sites, identifying a potential creative URL from the parsed web pages that matches a predetermined criterion for retrieving potential creative URLs, and retrieving the potential creative URL that matches the predetermined criterion. A data storage may be used to store creative URLs. An online content collection server analyzes the retrieved potential creative URL by determining whether the retrieved potential creative URL has been seen before by comparing the retrieved potential creative URL against the creative URLs stored in the data storage, and determining whether the retrieved potential creative URL points to a creative if the retrieved potential creative URL has been seen before.