Cross-Service Subscriber Profile Targeting via Deep Packet Inspection
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Solution Overview
Problem
Current targeted advertising methods often broadcast advertisements to large geographic areas, resulting in inefficiencies and wasted advertising dollars, as they fail to deliver personalized ads based on individual subscriber interests and behaviors across various devices and platforms.
Innovation Solution
A system that monitors and correlates data from IPTV, VoIP, and Internet services to create holistic subscriber profiles, enabling targeted, personalized advertisements on individual service bases, using deep packet inspection to integrate data from various devices and platforms, and delivering ads via IPTV, web pages, and mobile devices based on subscriber interests and context.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If advertisements are broadcast to large geographic areas, then regional advertisers can reach potential customers, but advertising costs increase and effectiveness decreases due to wasted impressions on unresponsive recipients
Solution Approach 1:
The patent segments the advertising delivery system by service type (IPTV, VoIP, Internet) and creates separate profile data structures for each service. This segmentation allows targeted advertising to be delivered through each specific service channel based on service-specific subscriber profiles, preventing wasted advertising impressions on unresponsive recipients and reducing overall advertising costs while maintaining effectiveness.
Solution Approach 2:
The patent performs preliminary actions by monitoring and collecting subscriber data across multiple services before advertising delivery. Holistic subscriber profiles are created in advance by integrating data from IPTV, VoIP, and Internet services, enabling advertisers to pre-identify responsive recipients before campaign launch, thereby eliminating wasted advertising spend on unresponsive audiences.
2Adaptability or versatility
If subscriber data is monitored across multiple services to create holistic profiles, then advertising personalization improves, but system complexity increases due to data integration requirements
Solution Approach 1:
The patent implements a universal advertising framework that handles multiple service types (IPTV, VoIP, Internet) through a single holistic profile structure. The system uses unified data structures that can accommodate diverse service data, and a single advertising delivery mechanism that adapts to different service contexts, thereby achieving high personalization without proportionally increasing system complexity.
Solution Approach 2:
The patent introduces an intermediary advertising system that sits between multiple service providers and advertisers. This intermediary collects, integrates, and standardizes subscriber data from various services into holistic profiles, then delivers targeted advertisements back to appropriate services. This mediator approach simplifies the complexity by centralizing data integration functions rather than requiring each service to independently handle cross-service data integration.
3Measurement precision
If deep packet inspection is used to integrate data from various devices, then advertising targeting precision improves, but processing requirements and system resources increase
Solution Approach 1:
The patent extracts only the essential and relevant subscriber data needed for advertising purposes from deep packet inspection results. Rather than processing all captured data, the system selectively extracts profile-relevant information (service usage patterns, preferences, behaviors) and discards irrelevant data, thereby maintaining high targeting precision while reducing processing resource consumption.
Solution Approach 2:
The patent applies partial action by monitoring and processing only the subset of subscriber data that is most valuable for advertising personalization across services. The system selectively deep-packets inspects traffic relevant to profile creation while avoiding exhaustive analysis of all data streams, achieving sufficient targeting precision without the full resource cost of complete data processing.
Data Source
AI summary
A system for targeted advertising is disclosed having with a non-transitory computer readable storage medium, having a computer program stored therein, the computer program including but not limited to instructions to map each of N channel numbers to the new and unique channel number at a set top box when a subscriber selects one of the N channel numbers, wherein each of the N channel numbers is the same in each of the K advertising groups, and wherein each of the N channel numbers is mapped to a different new channel number in each of the K advertising groups.