Web Traffic Estimation via Secured-Unsecured Data Correlation
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Solution Overview
Problem
The increased use of secure search protocols, such as SSL and TLS, by search engines and social media platforms limits the availability of detailed reporting information, making it difficult for marketers to accurately track and analyze organic web traffic and optimize their online marketing campaigns effectively.
Innovation Solution
A method that involves obtaining reporting information from both secured and unsecured external sources, using correlation and estimation techniques to generate a comprehensive view of organic web traffic, by applying parameters and algorithms to the data from unsecured sources to supplement the incomplete data from secured sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If secure search protocols (SSL/TLS) are used by search engines and social media platforms, then security and privacy are improved, but detailed reporting information becomes unavailable
Solution Approach 1:
The patent introduces an intermediary system that acts as a mediator between secured external sources and the analytics platform. This intermediary captures and processes reporting information before it is encrypted or hidden by secure protocols, allowing detailed traffic analysis while maintaining the security benefits of SSL/TLS. The intermediary extracts visible elements from secured sources and transforms them into analyzable data formats.
Solution Approach 2:
The system performs preliminary actions by capturing and processing reporting information from external sources before the secure protocols mask or encrypt the data. By pre-extracting visible elements, URLs, and traffic patterns before security measures obscure them, the system preserves detailed reporting information while still allowing secure communication channels to function.
2Measurement precision
If detailed reporting information is obtained from unsecured external sources, then traffic analysis accuracy is improved, but data security and privacy are compromised
Solution Approach 1:
The patent segments the data collection process into multiple stages: first capturing visible elements from secured sources, then supplementing with data from unsecured sources, and finally processing all information through correlation algorithms. This segmentation allows the system to use unsecured sources for detailed analysis while limiting exposure by processing data in controlled stages rather than collecting all unsecured data at once.
Solution Approach 2:
The system applies partial action by using unsecured external sources only for specific supplementary information that cannot be obtained from secured sources. Rather than relying entirely on unsecured sources for all traffic analysis, the system combines partial data from unsecured sources with processed data from secured sources, achieving accurate analysis while minimizing security risks through selective data collection.
3Measurement precision
If correlation algorithms process data from multiple external sources, then estimation accuracy is improved, but system complexity increases
Solution Approach 1:
The patent implements a universal processing framework that handles multiple data types from various external sources through a single correlation engine. This multi-functional system can process visible elements, URLs, traffic patterns, and supplementary data using the same correlation algorithms, reducing the need for separate specialized systems for each data type and managing complexity through standardized processing procedures.
Data Source
AI summary
A method for estimating web traffic to a website is disclosed. The method may include obtaining a first set of reporting information from a secured external source that directs traffic to the website. The first set of reporting information may have a corresponding portion of reporting information which is not provided from the secured external source. The method may include obtaining a second set of reporting information from a unsecured external source that directs traffic to the website. The second set of reporting information may be different than the first set of reporting information. The method may also include generating an estimation of the corresponding portion of reporting information which is not provided from the secured external source by correlating the second set of reporting information with the first set of reporting information.