Dynamic Advertising Playback Rate Adjustment
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Solution Overview
Problem
Conventional out-of-home advertising systems are inefficient as they operate on a time-linear basis, failing to account for variable endpoint availability and audience fluctuations, leading to suboptimal advertising delivery, especially in businesses with irregular operating hours or changing audience demographics.
Innovation Solution
An advertising system that processes location-based advertising information by constructing and adjusting an optimal playback plan based on user requests, incorporating audience measurement and endpoint availability data, including weather forecasts and demographic statistics, to ensure steady and targeted ad delivery across multiple media playback endpoints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional time-linear advertising systems are used, then simple and straightforward ad delivery is achieved, but advertising efficiency deteriorates due to inability to account for endpoint availability and audience fluctuations
Solution Approach 1:
The patent implements dynamic playback rate adjustment by continuously monitoring endpoint availability and audience metrics, then modifying ad delivery rates in real-time. The system transitions from static time-linear scheduling to dynamic rate adaptation based on current conditions, resolving the contradiction between simple delivery and efficient advertising.
Solution Approach 2:
The system incorporates feedback loops that monitor endpoint status, audience engagement metrics, and playback performance. This feedback drives automatic adjustment of playback rates to optimize advertising efficiency while maintaining system manageability through automated control mechanisms.
2Productivity
If playback rate is increased to catch up after endpoint outages, then ad delivery volume is improved, but ad delivery precision deteriorates due to overemphasis on beginning of playback day
Solution Approach 1:
The system changes the parameter of playback rate dynamically based on time of day, endpoint availability, and audience metrics. Instead of uniform rate increases, the system applies differentiated rate adjustments that maintain precision by considering contextual factors, thus improving volume without sacrificing delivery precision.
Solution Approach 2:
The patent applies different playback rates to different time periods and endpoints based on local conditions. Rather than a blanket rate increase, the system tailors playback rates to specific contexts (time of day, endpoint status, audience availability), maintaining precision while achieving necessary volume targets.
3Stability of the object's composition
If uniform ad delivery rate is maintained, then consistent ad exposure is achieved, but adaptability to audience fluctuations and endpoint availability deteriorates
Solution Approach 1:
The system maintains stability through dynamic adaptation rather than static uniformity. By continuously adjusting playback rates based on real-time conditions while maintaining overall campaign objectives, the system achieves both consistency in meeting delivery goals and adaptability to changing conditions.
Solution Approach 2:
The system autonomously adjusts playback rates in response to endpoint availability and audience fluctuations without external intervention. This self-service capability maintains delivery consistency while adapting to changes, resolving the contradiction between uniform delivery and adaptability.
4Productivity
If multiple playback rates are implemented for different endpoints and time periods, then advertising optimization is improved, but system complexity increases
Solution Approach 1:
The system manages complexity by systematically varying playback rate parameters based on defined criteria (endpoint characteristics, time periods, audience metrics). This structured parameter management enables optimization across multiple dimensions while maintaining system manageability through rule-based adjustments.
Data Source
AI summary
A networked computerized advertising system used for integrating, processing and displaying location-based advertising information is provided. The system comprises at least one computing device, and a network that connects the computing device with multiple playback endpoints. The computing device includes a data storage subsystem component that stores information about the multiple end points, a data entry subsystem component that allows input of the information about the multiple end points, and a data analytics component programmed to process the information about the multiple end points and compute optimal advertising playback plans for each endpoint. Playbacks at endpoints are continuously monitored, and the playback plans are repeatedly reconstructed to provide flexible advertising campaigns to be customized in accordance with the schedule and the operations of the host business.