Network Traffic Analysis for Targeted Digital Signage
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Solution Overview
Problem
Current advertising architectures face challenges in efficiently managing and delivering targeted advertising content in communication environments, often resulting in universally broadcast ads that are not relevant to specific groups or locations, leading to inefficiencies and ineffective purchasing influences.
Innovation Solution
A communication system that analyzes network traffic to identify user location and search keywords, using this information to render targeted advertisements on digital signage proximate to the user, leveraging access switches and traffic analyzers to match IP addresses and HTTP requests with relevant advertising content from search engines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If advertising content is universally broadcast to entire groups of people, then the coverage and reach of advertisements is improved, but the relevance and effectiveness of advertisements to specific users deteriorates
Solution Approach 1:
The patent segments the universally broadcast advertising audience into specific user groups based on network traffic analysis, device characteristics, and behavioral patterns. By dividing the broad audience into targeted segments, the system maintains comprehensive coverage while improving relevance for each segment through customized advertising content delivery.
Solution Approach 2:
The patent applies local quality by delivering different advertising content to different user segments based on their specific characteristics and behaviors. Instead of uniform advertising, the system tailors advertising quality and content to match local user preferences, devices, and contexts, thereby improving overall advertising effectiveness.
2Manufacturing precision
If advertising technologies increase in sophistication to enable targeted delivery, then the relevance and effectiveness of advertisements is improved, but the complexity of advertising architectures deteriorates
Solution Approach 1:
The patent makes network infrastructure components (routers, switches, access points) perform multiple functions by adding advertising delivery capabilities to existing devices. These universal network elements handle both traditional network functions and advertising content delivery, reducing the need for separate specialized advertising infrastructure and thereby managing complexity.
Solution Approach 2:
The patent enables the advertising system to automatically analyze network traffic, identify user characteristics, and select appropriate advertising content without extensive manual configuration. The system self-adjusts and optimizes advertising delivery based on real-time network data, reducing operational complexity while maintaining high targeting accuracy.
3Measurement precision
If network traffic is analyzed to identify user characteristics, then the targeting accuracy of advertisements is improved, but the processing time and computational resources required deteriorates
Solution Approach 1:
The patent performs preliminary actions by pre-analyzing network traffic patterns and pre-segmenting users into target groups before advertising campaigns are launched. User characteristics and preferences are identified in advance, allowing the system to quickly retrieve and deliver appropriate advertising content without real-time analysis delays.
Solution Approach 2:
The patent replaces complex real-time computational analysis with more efficient data retrieval and matching mechanisms. By substituting heavy computational processing with pre-computed user profiles and rule-based matching systems, the patent reduces processing time while maintaining accurate user identification and advertising targeting.
Data Source
AI summary
An example method includes receiving packets associated with network traffic and identifying location information associated with an end user related to the network traffic. The method also includes extracting keywords from the network traffic, the keywords and the location information are used as a basis for rendering an advertisement on digital signage that is physically proximate to a current location of the end user. In other embodiments, the network traffic can be matched against access control lists, which are configured with Internet protocol (IP) addresses relating to search engines. Additionally, the network traffic can be classified based on fields in the packets, wherein the fields include a source Internet protocol (IP) address, a destination IP address, and a transmission control protocol (TCP) port. In more particular embodiments, the network traffic is hypertext transfer protocol (HTTP) requests originating from a handheld device operated by the end user.


