Zone-Based Mobile Action Initiation via Proximity Detection
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Solution Overview
Problem
Current proximity marketing technologies lack the ability to effectively initiate targeted actions on mobile devices based on user location within specific zones, such as venues, leading to inefficient engagement with consumers.
Innovation Solution
A method that utilizes processors to determine a user's proximity to a defined zone within a venue by monitoring their computing device's movement, identifying associated actions, and initiating those actions on the device, leveraging GPS, triangulation, and beacon signals for precise location tracking and communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If proximity marketing sends out electronic messages to mobile device users in close proximity to a business, then consumer engagement is improved, but the ability to initiate targeted actions on mobile devices based on specific zone location is insufficient
Solution Approach 1:
The venue is divided into multiple defined zones, each with specific characteristics and associated actions. The system segments the venue space into distinct regions (e.g., retail zones, dining areas, event spaces) and assigns different marketing actions to different zones, enabling precise location-based targeting rather than blanket messaging to all users in proximity.
Solution Approach 2:
The system pre-configures actions associated with specific zones before users arrive. When a user enters a defined zone, the corresponding action is automatically initiated on their mobile device without requiring user selection or additional processing. This preliminary setup enables immediate, context-relevant engagement as users cross zone boundaries.
2Measurement precision
If the system monitors computing device movement to determine user proximity to zones, then location-based targeting is improved, but system complexity increases
Solution Approach 1:
The system employs an intermediary processing layer that receives location data from multiple sources (GPS, Wi-Fi triangulation, beacon signals) and translates it into zone proximity determinations. This intermediary layer abstracts the complexity of multi-source location tracking from the core marketing logic, managing the integration of various positioning technologies while maintaining clean interfaces for zone-based action initiation.
3Productivity
If the system initiates actions on user computing devices based on zone proximity, then user engagement is enhanced, but the requirement for precise location determination increases
Solution Approach 1:
The system adjusts location determination parameters dynamically based on zone characteristics and context. Different zones may use different proximity thresholds, accuracy requirements, or combinations of location technologies. For example, large outdoor venues may use broader GPS-based zones while intimate indoor spaces use precise beacon-based positioning, optimizing the balance between engagement effectiveness and technical requirements for each context.
Data Source
AI summary
Aspects of the present invention disclose a method, computer program product, and system for initiating actions based on mobile device location of a user. The method includes one or more processors determining that a user is within a defined proximity to a zone within a venue, based on monitoring a computing device of the user moving through the venue. The method further includes one or more processors identifying an action associated with the zone, where the action includes performing a function of the computing device of the user. The method further includes one or more processors initiating the identified action associated with the zone on the computing device of the user.