Geolocation-Based Content Delivery for Targeted Non-Digital Advertising
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Solution Overview
Problem
Existing non-digital advertising methods fail to effectively target consumers based on their interests, leading to wasted resources as advertisements often reach disinterested individuals.
Innovation Solution
Segment populations using geolocation data from mobile devices, combined with other relevant data such as website visits and search queries, to identify potential recipients for non-digital advertisements, and deliver targeted content through various channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If non-digital advertisements are distributed broadly without targeting, then coverage of potential recipients is improved, but resource waste increases due to reaching disinterested individuals
Solution Approach 1:
The patent segments the population into distinct groups based on geolocation data, device characteristics, and behavioral patterns. By dividing the broad audience into targeted segments, the system delivers non-digital advertisements only to relevant groups, maintaining wide coverage potential while eliminating waste on disinterested individuals.
Solution Approach 2:
The patent applies local quality by tailoring advertisement delivery to specific geographic locations and local characteristics. Different regions receive different advertisements based on local demographics, interests, and contextual data, ensuring that each local area receives appropriately targeted content rather than uniform broad distribution.
2Measurement precision
If geolocation data and multiple data sources are collected and processed, then advertisement targeting precision is improved, but system complexity increases
Solution Approach 1:
The patent implements a multi-functional platform that handles diverse data sources (geolocation, device fingerprints, behavioral data) through a unified processing architecture. This universal system performs multiple functions including data collection, segmentation, targeting, and delivery coordination, reducing overall complexity despite handling diverse inputs.
Solution Approach 2:
The patent introduces intermediary components such as device fingerprinting systems and geolocation services that mediate between raw data sources and the advertisement delivery system. These intermediaries standardize and process diverse data into usable formats, simplifying the overall system architecture while maintaining high targeting precision.
3Reliability
If multiple data sources are integrated for population segmentation, then content relevance is improved, but data processing time increases
Solution Approach 1:
The patent performs preliminary actions by pre-collecting and pre-processing data from multiple sources (geolocation, device characteristics, behavioral patterns) before advertisement delivery is needed. Population segmentation and targeting profiles are established in advance, allowing rapid deployment of relevant advertisements without time-consuming processing at delivery moment.
Data Source
AI summary
Methods, apparatus, systems, and computer-readable media are set forth for providing digital and non-digital content to a segment of a population that is identified using geolocation data and other activity data. In some implementations, non-digital content is delivered via postal mail to a segment of a population according to whether the segment of the population viewed certain content before, during, or after visiting a particular geographic location. In other implementations, digital content, such as phone calls or voice messages, can be delivered to a segment of a population according whether the segment of the population is present or has recently been present at a particular location and previously viewed certain content associated with the location. Segmenting populations in this way can conserve computational resources and materials that might otherwise be wasted on serving a larger population that may have less of an interest in the content.


