Geofenced Mobile Notification Clustering for Higher Conversion
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Solution Overview
Problem
Existing notification systems fail to effectively target consumers who are likely to convert offers, often overwhelming users with irrelevant promotions and lacking real-time location-based delivery, reducing conversion rates and making it difficult for marketers to assess notification effectiveness.
Innovation Solution
A system that creates microfences based on user location and behavior, aggregates location attributes, determines audience profiles, and selects notifications based on conversion probability for targeted delivery to mobile devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If notifications are distributed broadly to maximize reach, then the quantity of notifications delivered increases, but the conversion rate decreases due to consumer overload and irrelevant promotions
Solution Approach 1:
The patent segments the consumer base into distinct clusters based on behavior, demographics, and location attributes. By dividing the broad audience into specific segments, the system can deliver targeted notifications to each cluster, increasing relevance and conversion rates while maintaining overall delivery volume across multiple segments.
Solution Approach 2:
The patent applies local quality by delivering different notification content to different geographic locations and consumer clusters. Each location receives notifications tailored to its specific audience profile, ensuring that the notification content matches the local consumer characteristics and increases the likelihood of conversion.
2Ease of operation
If notifications are sent without considering real-time location, then the simplicity of distribution increases, but the effectiveness decreases as consumers must travel to locations that accept the offer
Solution Approach 1:
The patent performs preliminary actions by pre-defining geographic fences and associating them with specific notifications before consumers arrive. When a consumer enters a fence, the system has already prepared the relevant notification, enabling immediate delivery without requiring the consumer to actively search for offers or travel to unrelated locations.
Solution Approach 2:
The patent implements feedback by continuously monitoring consumer location data and device stationary status. This real-time feedback allows the system to detect when a consumer enters a geographic fence and automatically trigger the appropriate notification, creating a responsive distribution system that adapts to consumer movement patterns.
3Measurement precision
If the system tracks detailed location attributes and behavior patterns, then the precision of audience targeting increases, but the device complexity increases
Solution Approach 1:
The patent applies self-service by automatically collecting location attributes and behavior patterns from mobile devices without requiring manual input from consumers. The system autonomously processes this data to create and update audience profiles, reducing the need for complex manual configuration while maintaining high targeting precision.
Solution Approach 2:
The patent introduces an intermediary layer (the audience profile system) that mediates between raw location data and notification delivery. This intermediary aggregates and processes location attributes, converting complex raw data into simplified audience clusters that can be easily matched with appropriate notifications, thereby reducing overall system complexity.
4Measurement precision
If the system determines conversion probability based on multiple attributes, then the accuracy of notification selection increases, but the computational requirements increase
Solution Approach 1:
The patent applies partial action by calculating conversion probability based on a selective subset of the most relevant audience profile attributes and notification content attributes, rather than processing all possible data points. This approach achieves sufficient accuracy for effective notification selection while reducing computational energy consumption compared to analyzing every available attribute.
Data Source
AI summary
A system configured to execute programing instructions comprising. receiving a fence including an area having a geographic location, a plurality of notifications and their content attributes are associated with the fence; receiving location and speed from a mobile device of a user; determining the mobile device is stationary for a predetermine amount of time; identifying a location attribute for the location of mobile device; aggregating a plurality of location attributes associated with the user; determining an audience profile and audience profile attributes for the user based on the aggregated location attributes; detecting the user has crossed into an area defined by the fence; and in response to detecting the user crossing the fence determining a conversion probability based on content attributes of the notifications associated with the fence and audience profile attributes of the audience profile associated with the user; selecting a notification based the conversion probability.