Targeted Ad Delivery via IMS and Sensor Data Matching
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Solution Overview
Problem
Current advertising methods, such as television and online advertising, lack precision in targeting specific consumers based on their location and interests, leading to inefficient use of advertising resources and mismatched consumer data.
Innovation Solution
A system and method that utilizes data from multiple devices and sensors to match advertisers with customers by analyzing customer behavior, location, and interests, delivering targeted advertisements through various devices and media platforms, including mobile devices, IPTV, and radio, using IP Multimedia Subsystem (IMS) technology and yellow page data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional television and online advertising methods are used, then advertising coverage is broad, but targeting precision is poor
Solution Approach 1:
The patent segments the advertising system into multiple components: data collection module (gathering customer information from multiple sources), data analysis module (analyzing behavior patterns and location), matching module (matching customers with relevant advertisers), and delivery module (delivering ads through appropriate channels). This segmentation enables precise targeting while managing system complexity through modular design.
Solution Approach 2:
The patent introduces an intermediary advertising system that acts as a mediator between customers and advertisers. This intermediary collects and analyzes customer data, matches it with advertiser requirements, and delivers targeted advertisements. The intermediary resolves the contradiction by processing information centrally rather than requiring direct complex interactions between all parties.
2Measurement precision
If customer data is collected from multiple sources, then targeting accuracy improves, but data quality and matching reliability deteriorate
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors advertising effectiveness and customer responses. This feedback is used to refine data collection, improve matching algorithms, and enhance overall system reliability. The feedback loop ensures that data quality improves over time through iterative optimization.
Solution Approach 2:
The patent dynamically adjusts parameters such as data collection thresholds, matching criteria, and weighting factors based on observed performance. By changing these parameters adaptively, the system maintains high targeting accuracy while ensuring data quality through optimized collection and validation processes.
3Productivity
If advertisements are delivered through multiple channels, then advertising reach increases, but resource efficiency decreases
Solution Approach 1:
The patent employs dynamic ad delivery that adapts to customer context in real-time. Based on current location, behavior, and device state, the system dynamically selects the most appropriate delivery channel and timing. This dynamic approach maximizes advertising effectiveness while minimizing resource waste by avoiding redundant or inappropriate deliveries.
Solution Approach 2:
The patent applies different delivery strategies to different customer segments and contexts. Rather than using a uniform approach across all channels, the system tailors ad delivery to local conditions - selecting specific channels and timing based on individual customer characteristics, location, and behavior patterns. This local quality approach improves productivity while reducing overall resource consumption.
Data Source
AI summary
Disclosed are systems, computer-readable medium and a method for delivering advertisements to user devices. The method includes storing first data associated with online and physical activity of plurality of customers, storing second data associated with current status of plurality of advertisers, matching a customer with an advertiser based on analysis of the first data and the second data and delivering an advertisement to a device associated with the matched customers online and physical activity. The on-line and physical activity is captured by a plurality of devices including a mobile device via a plurality of sensors.