Real-Time Audience Statistics Extraction System
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Solution Overview
Problem
Advertisers face challenges in accessing and analyzing user behavior data across multiple websites, making it difficult to predict advertising campaign audiences and determine correlations between different user populations in real-time.
Innovation Solution
A system that computes and projects arbitrary audience statistics in real-time using historical data, allowing users to specify queries to compare, contrast, and correlate audiences based on various categories, enabling interactive tuning of audience properties such as volume and correlation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If advertisers access and analyze user behavior data across multiple websites, then they can predict advertising campaign audiences and determine audience correlations, but the system complexity and data processing requirements increase significantly
Solution Approach 1:
The patent introduces an advertising exchange system as an intermediary that centralizes user behavior data from multiple websites. This exchange acts as a mediator between data sources and advertisers, providing a unified interface for querying and analyzing audience data without requiring advertisers to directly access complex distributed data systems across multiple websites.
Solution Approach 2:
The advertising exchange system provides multiple functions within a single platform: data collection from various websites, real-time audience statistics computation, correlation analysis between different audiences, and predictive analytics for advertising campaigns. This multi-functional approach consolidates what would otherwise require separate systems for each function.
2Loss of time
If real-time computation of audience statistics is performed, then timely insights are provided for advertising campaigns, but the processing time and computational resources increase
Solution Approach 1:
The system pre-computes and stores audience statistics and correlations in advance based on historical user behavior data. When advertisers query for audience information, the system retrieves pre-computed results rather than performing complex real-time analysis, significantly reducing response time while maintaining accuracy.
Solution Approach 2:
The patent replaces heavy real-time computational processing with efficient data retrieval operations. By substituting complex mechanical computation with pre-computed data lookup and simple aggregation, the system achieves real-time performance with reduced computational resource requirements.
3Measurement precision
If detailed user behavior data is collected across multiple websites, then accurate audience correlations can be determined, but data privacy concerns and information security risks increase
Solution Approach 1:
The system extracts and aggregates user behavior patterns at a higher level of abstraction rather than collecting and storing detailed individual user data. By extracting only the necessary statistical information (audience sizes, correlation metrics) without retaining sensitive personal behavior details, the system maintains correlation accuracy while reducing privacy risks.
Solution Approach 2:
The advertising exchange acts as a privacy-protecting intermediary that processes user behavior data without exposing raw personal information. The exchange computes correlations and statistics internally and provides only aggregated results to advertisers, preventing direct access to sensitive user behavior data while still enabling accurate audience analysis.
Data Source
AI summary
A system, method, apparatus, and processor readable storage media are described for real-time computation of statistics between audiences including, but not limited to, correlations, comparative metrics, and/or other statistical analysis for the audiences. Embodiments enable a user to specify a query that defines a specific audience for analysis in real-time. A past time period may be determined that indicates the amount of historical data that is to be analyzed to generate the statistical comparisons and/or correlations. Employing the user-specified query, statistical comparisons and/or correlation may be provided, based on an analysis of retrieved historical audience data for the time period. Embodiments may also enable a user to generate new statistics in real-time through modification of the audience in one or more iterations. Embodiments may also enable a user to filter, sort, and search through audiences by setting desired statistical boundaries for the resulting audience set.