Subscriber Profiling for Targeted Content Delivery
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Solution Overview
Problem
Existing content delivery systems for targeted advertising in IP and mobile communications networks face inefficiencies due to unnecessary network traffic and the inability to account for subscriber movement, particularly in areas with overlapping cell coverage, leading to irrelevant content delivery.
Innovation Solution
A profiling method and system that receives event parameters and location information from subscribers, compares them to identify likely attendees, assigns profile ratings, sorts subscribers, and delivers content specific to their categories, using location-based systems and event management to optimize content delivery without overburdening existing infrastructure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If content is delivered to all subscribers in a network location, then content delivery coverage is improved, but network traffic volume increases and relevant content delivery is reduced
Solution Approach 1:
The system applies local quality by delivering different content to different subscriber groups within the same network location based on their event attendance likelihood. Instead of uniform content delivery to all subscribers in a location, the system segments subscribers into categories (high, medium, low likelihood attendees) and delivers tailored content to each segment, thereby reducing unnecessary network traffic while maintaining targeted coverage.
Solution Approach 2:
The system segments subscribers into distinct categories based on their likelihood of attending events at a given location. By dividing the subscriber base into segments (e.g., high likelihood, medium likelihood, low likelihood attendees), the system can selectively deliver content only to relevant segments, reducing overall network traffic volume while improving content relevance for those who receive it.
2Area of stationary object
If content is delivered to all subscribers in overlapping cell coverage areas, then network coverage is improved, but content relevance decreases due to subscriber movement
Solution Approach 1:
The system addresses subscriber movement dynamics by continuously updating subscriber profiles with latest location information and event attendance likelihood assessments. When a subscriber moves between cell coverage areas, the system dynamically adjusts content delivery based on their current location and updated profile, ensuring content remains relevant despite changes in network coverage area.
Solution Approach 2:
The system performs preliminary actions by pre-calculating and storing subscriber profiles with event attendance likelihood scores before content delivery. When a subscriber is detected in a network location, the system retrieves their pre-computed profile and delivers content based on their stored likelihood assessment, avoiding the need for real-time re-evaluation and ensuring consistent content relevance despite subscriber movement.
3Measurement precision
If detailed subscriber profiling and location tracking is implemented, then content targeting accuracy is improved, but network infrastructure burden increases
Solution Approach 1:
The system extracts essential profiling and location tracking functions from the core network infrastructure and implements them as separate, dedicated components. By isolating these functions into specialized modules that operate independently from the main network switching and routing infrastructure, the system achieves detailed subscriber profiling and location tracking without proportionally increasing the burden on core network elements.
Solution Approach 2:
The system introduces an intermediary profiling system that acts as a mediator between network location data and content delivery decisions. This intermediary layer collects location information, maintains subscriber profiles, and determines content delivery targets, thereby shielding the core network infrastructure from direct handling of complex profiling and targeting logic. The intermediary absorbs the computational burden of detailed analysis while the network infrastructure focuses on efficient data transmission.
Data Source
AI summary
System and method for providing content to a plurality of subscribers in a communications network. The method includes receiving event parameters associated with an event from a third party; receiving location information for each subscriber from the communications network; comparing the event parameters with the location information for each subscriber to identify one or more subscribers within the plurality of subscribers within a predetermined range of the event associated with the event parameters; profiling each of the one or more subscribers to produce a profile rating and/or profile score wherein the profile rating and/or profile score are indicative of the likelihood of a given subscriber to attend the event; sorting the one or more subscribers into a number of categories based on the profile rating and/or profile score; compiling content for each category of subscribers; and delivering the content to said one or more subscribers within range of the event.