Call Detail Record Analysis for Demographic Projection
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Solution Overview
Problem
Current methods lack an efficient way to derive demographic data from call detail records for optimizing advertising content and pricing in specific coverage areas, leading to suboptimal targeting and revenue generation.
Innovation Solution
A system and method that analyze call detail records to determine demographic characteristics of subscribers, projecting subscriber volumes and adapting pricing for advertising content based on historical data, allowing for informed decisions on billboard advertising and media placement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If call detail records are analyzed to derive demographic data, then advertising effectiveness and revenue generation are improved, but system complexity and data processing requirements increase
Solution Approach 1:
The patent introduces an intermediary processing system that acts as a mediator between raw call detail records and advertising decision-making. This intermediary system aggregates and anonymizes data into demographic profiles, reducing the complexity burden on both data collection infrastructure and advertising platforms while maintaining the ability to derive actionable insights for targeted advertising.
Solution Approach 2:
The patent extracts only the essential demographic characteristics needed for advertising purposes from the comprehensive call detail records. By selectively extracting relevant data elements (such as aggregated location patterns, time-of-day usage, and service type preferences) rather than processing entire datasets, the system reduces computational complexity while preserving advertising effectiveness.
2Measurement precision
If demographic data is derived from call detail records, then subscriber targeting precision is improved, but data privacy concerns and measurement complexity increase
Solution Approach 1:
The patent applies local quality by differentiating between types of data processing: individual-level data is processed with high precision for direct subscriber identification and targeting, while aggregated demographic data is processed with appropriate anonymization for broader market analysis. This layered approach allows precise targeting where needed while maintaining privacy protections for population-level insights.
Solution Approach 2:
The patent segments data processing into distinct layers: individual subscriber data processing for precise targeting, and aggregated demographic data processing for market analysis. This segmentation allows the system to achieve high measurement precision for individual targeting while separately managing privacy concerns through aggregation and anonymization at the demographic level.
Data Source
AI summary
A system for analyzing call detail records to derive demographic data is provided. The system comprises a processor, a memory, and an application stored in the memory. When executed by the processor, the application analyzes call detail records associated with a base transceiver station to determine statistical information about the subscriber calls within the coverage area and to estimate demographics of people within the coverage area.