Predictive Route-Based Ad Targeting System
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Solution Overview
Problem
Existing advertisement systems fail to effectively target users based on their predicted direction of travel, leading to wasted advertising efforts on individuals who will not pass by specific establishments.
Innovation Solution
A computer system that determines a user's current location and predicts their change in direction, selecting and broadcasting targeted advertisements to users within a vehicle based on this prediction, using a CPU, memory, and program instructions to dynamically display ads on various devices such as smartphones, GPS systems, or billboards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If advertisements are broadcast to all users regardless of location or direction, then advertisement coverage is maximized, but advertising costs increase and effectiveness decreases
Solution Approach 1:
The system performs preliminary actions by determining current location and predicting future direction before broadcasting advertisements. This allows the system to pre-identify relevant users and only broadcast ads to those predicted to pass by the establishment, eliminating wasted advertising spend on irrelevant audiences.
Solution Approach 2:
The system applies local quality by tailoring advertisement delivery to specific local conditions - each user receives advertisements based on their individual predicted trajectory relative to the establishment. This localized targeting ensures ads are only shown to users in the relevant geographic context, improving effectiveness while reducing overall broadcast costs.
2Reliability
If advertisements are targeted based on predicted direction of travel, then advertising effectiveness increases, but system complexity increases
Solution Approach 1:
The system determines current location and predicts direction of travel before advertisement selection. This preliminary analysis of user trajectory allows the system to make informed decisions about which advertisements to display, ensuring relevance without requiring complex real-time adjustments during ad delivery.
Solution Approach 2:
The system introduces an intermediary prediction mechanism that bridges raw location data and advertisement selection. By inserting the direction prediction step as an intermediary, the system transforms simple location tracking into meaningful targeting information without directly coupling the complexity of trajectory analysis with the ad delivery mechanism.
3Ease of manufacture
If static advertisements are used on billboards and retail outlets, then implementation is simple, but advertising effectiveness decreases due to inability to target specific users
Solution Approach 1:
The system transforms static advertisements into dynamic, adaptive content that changes based on predicted user direction and location. Advertisements are no longer fixed but are selected and delivered dynamically according to real-time trajectory predictions, allowing the same infrastructure to serve multiple targeted audiences effectively.
Solution Approach 2:
The system performs preliminary determination of user location and prediction of travel direction before ad delivery. This advance preparation allows the system to pre-select appropriate advertisements from available options, enabling dynamic targeting without requiring complex real-time decision-making at the moment of ad display.
Data Source
AI summary
A method implemented in a computer infrastructure having computer executable code tangibly embodied on a computer readable storage medium having programming instructions operable to determine a current location of a user, predict a change of direction of the user, and provide at least one advertisement to the user based on the predicted change of direction of the user.