Correlating Web Page Visits with External References
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Solution Overview
Problem
Current methods for tracking website visitors and their actions are inaccurate, as they rely on tracking pixels and referral headers, which fail to provide detailed insights into visitor behavior and marketing campaign effectiveness, leading to suboptimal marketing strategies due to limited data on visitor origins and actions.
Innovation Solution
A method and system for correlating external references with conversions on a website, using a cloud warehouse and job coordinator to identify and match visitor actions with external references, enabling precise tracking and analysis of visitor behavior and marketing campaign effectiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If tracking pixels and referral headers are used to track visitors, then visitor tracking is implemented, but measurement precision and information completeness deteriorate
Solution Approach 1:
The patent introduces a crawler as an intermediary that visits external references and captures referral information, acting as a mediator between the tracking system and external websites. This crawler-based approach supplements the insufficient data from tracking pixels and referral headers by actively gathering detailed referral information from external sources.
Solution Approach 2:
The system performs preliminary crawling of external references before visitor arrival to pre-fetch and store referral information. By proactively visiting external websites and capturing their content and referral data in advance, the system ensures accurate tracking information is available when needed, rather than relying solely on passive tracking pixels.
2Measurement precision
If crawling and analyzing external pages is performed to get accurate visitor origin data, then measurement precision improves, but device complexity and processing requirements increase
Solution Approach 1:
The patent divides the tracking system into separate modular components: a crawler module that visits external references, a data extraction module that captures referral information, and a correlation module that matches visitors with their origins. This segmentation allows each component to perform its specific function efficiently without requiring the entire system to be complex.
Solution Approach 2:
Instead of continuously crawling external pages in real-time, the system creates copies of external reference data by crawling and storing it in advance. These stored copies are then used for correlation with visitor data, eliminating the need for complex real-time crawling operations while maintaining measurement precision.
3Measurement precision
If detailed visitor behavior tracking is implemented, then conversion analysis accuracy improves, but loss of time and processing overhead increase
Solution Approach 1:
The system performs preliminary correlation between visitor data and external reference data before conversion analysis is needed. By pre-matching visitors with their referral sources and storing this correlated information, the system eliminates time-consuming real-time matching operations when conversions need to be analyzed.
Solution Approach 2:
The tracking system automatically correlates visitor data with external reference data using automated matching algorithms based on common identifiers. This self-service correlation process eliminates manual data matching and reduces processing time by having the system perform the correlation operation autonomously using structured data relationships.
Data Source
AI summary
One embodiment includes a method for correlating external references to a Web Page with conversions performed by one or more visitors to the Web Page. The method includes receiving the Web Page to monitor and determining one or more conversions to correlate. The one or more conversions to correlate include one or more actions performed on the Web Page by a visitor to the Web Page. The method also includes identifying the visitor to the Web Page. The visitor to the Web Page completed at least one action included in the conversions to correlate. The method also includes identifying the at least one action completed by the visitor and identifying an external reference that directed the visitor to the Web Page. The external reference contains a reference to the Web Page.