Real-Time Mobile Device Targeting via Geographic Segmentation
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Solution Overview
Problem
Current systems lack an efficient method to target and deliver messages to mobile devices based on specific qualifiers such as user characteristics and geographic location in real-time, limiting the effectiveness of marketing campaigns.
Innovation Solution
A message distribution system comprising an analytics system, a data visualization system, and a common campaign system that identifies qualified mobile devices, generates lists, and transmits messages to devices within selected geographic areas, allowing for real-time targeting and messaging based on user and device characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If real-time mobile device identification and messaging is implemented, then marketing campaign effectiveness is improved, but system complexity increases
Solution Approach 1:
The system is divided into three distinct modules: an analytics system for identifying mobile devices based on qualifiers, a data visualization system for mapping device locations to geographic areas, and a common campaign system for message distribution. This segmentation allows each component to specialize in one function, improving overall system effectiveness while managing complexity through modular design.
Solution Approach 2:
The common campaign system serves multiple functions: it receives qualifiers from the analytics system, coordinates with the visualization system for location-based targeting, and handles message transmission to mobile devices. This multi-functionality reduces the need for separate specialized systems, managing complexity while maintaining real-time marketing effectiveness.
2Measurement precision
If real-time geographic location tracking is implemented, then message targeting precision is improved, but data processing requirements increase
Solution Approach 1:
The data visualization system extracts and processes only the location data component from mobile device information, separating it from other device characteristics. By isolating and focusing on geographic location data, the system achieves precise geographic targeting without needing to process and analyze all possible device data, thereby reducing overall data processing requirements.
Solution Approach 2:
The system applies different processing qualities to different data aspects: full analytics processing for device qualifiers and simplified geographic coordinate mapping for location data. This local quality approach allows precise geographic targeting while using appropriate levels of processing detail for each data type, optimizing resource usage.
3Reliability
If comprehensive device qualifiers are used for targeting, then message relevance is improved, but identification time increases
Solution Approach 1:
The analytics system pre-processes and stores mobile device information according to multiple qualifiers before real-time campaigns are launched. By preparing device profiles in advance with relevant characteristics organized by qualifier, the system can quickly retrieve and match devices during real-time operations, maintaining message relevance while reducing identification time.
Solution Approach 2:
The system dynamically adjusts the level of qualifier complexity based on campaign requirements. For time-sensitive campaigns, it may use a subset of qualifiers, while for less time-critical campaigns, it can apply more comprehensive qualifier filtering. This dynamic approach balances message relevance with identification speed.
Data Source
AI summary
A message distribution system for distributing messages to qualified mobile devices comprises an analytics system configured to identify mobile devices associated with one or more qualifiers, generate a list of mobile devices based on the association with the one or more qualifiers. A data visualization system may identify mobile devices from the list of one or more mobile devices is located at a selected geographic area and transmit a list of one or more mobile device located at a selected geographic area and associated with one or more qualifiers. A common campaign system may transmit the qualifiers to at least the analytics system to identify the mobile devices associated with the one or more qualifiers, and send a message to the mobile devices on the list of mobile devices located at a selected geographic area and associated with one or more qualifiers.