Beacon Identifier Content Selection and Retailer Reward System
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Solution Overview
Problem
Current methods for selecting online content in networked environments fail to effectively reward or compensate physical retail locations for providing valuable information that influences online content interactions, leading to missed opportunities for retailers.
Innovation Solution
A system and method that utilize beacon identifiers to associate attribute data with user devices, allowing for the selection of content items based on geographic location and interaction data, and subsequently reward retail locations for interactions with those content items, using a data processing system with modules for geographic location, beacon identifier management, content selection, and performance tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If beacon identifiers are used to associate attribute data with user devices for content selection, then content selection effectiveness is improved, but system complexity increases
Solution Approach 1:
The patent introduces a data processing system as an intermediary that manages beacon identifiers, attribute data, and content selection logic. This centralized mediator handles the complexity of associating retail location data with user devices and selecting relevant content, thereby improving content selection effectiveness while containing system complexity within a dedicated component rather than distributing it across multiple systems.
Solution Approach 2:
The system segments functionality into distinct modules: beacon identifier reception, attribute data management, user device tracking, and content selection. By dividing the complex task into separate functional components, the system achieves improved content selection effectiveness while managing complexity through modular design, where each segment handles a specific aspect of the overall process.
2Adaptability or versatility
If retail locations are rewarded for providing valuable information, then retailer engagement is improved, but implementation complexity increases
Solution Approach 1:
The patent implements a feedback mechanism where retail locations receive rewards based on the value of their beacon data and the resulting content interactions. This feedback loop improves retailer engagement by demonstrating tangible benefits from participation. The complexity of tracking interactions and calculating rewards is managed by the data processing system, which automatically monitors content selection performance and distributes rewards without requiring complex manual processes at retail locations.
3Measurement precision
If geographic location data is collected and processed, then content relevance is improved, but data processing requirements increase
Solution Approach 1:
The patent performs preliminary processing of geographic location data by associating beacon identifiers with attribute data in advance, before content selection occurs. Retail locations are pre-mapped with their beacon identifiers and relevant attributes, so that when a user device is detected, the system can quickly retrieve pre-associated data rather than processing raw location information in real-time. This preliminary action improves content relevance while reducing the computational power required during actual content selection.
Data Source
AI summary
Systems and methods of the disclosure relate to selecting content using beacon identifiers. An indication of a location of a user device and a beacon identifier are received. The beacon identifier can correspond to a beacon at a retail location. A data structure storing attribute data associated with the beacon identifier can be accessed. The attribute data can be associated with a signal having a unique identifier of the user device. The signal can indicate the retail location having the beacon. A request for content for display on the user device can be received. A content item can be selected for display on the user device based on the attribute data. A reward value can be determined based on receiving an indication of user interaction with the content item and the attribute data used to select the content item.