COD Asset Insertion Decision System for Real-Time Campaign Optimization
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Solution Overview
Problem
In Content On Demand (COD) systems, advertisers face challenges in determining the effectiveness of their asset insertion strategies, as current systems lack the ability to optimize and modify campaigns based on real-time viewer data and preferences.
Innovation Solution
A COD asset insertion decision system that processes asset campaigns, collects viewer data, and modifies campaigns to optimize asset placement by analyzing viewer behavior, demographic information, and third-party analytics to improve campaign effectiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional shotgun advertising approach is used in COD systems, then broad audience coverage is achieved, but campaign effectiveness cannot be optimized based on real-time viewer data
Solution Approach 1:
The system implements feedback loops where viewer data collected from COD content consumption is analyzed and fed back into campaign modification processes. This enables continuous optimization of asset insertion strategies based on actual viewer behavior, demographics, and engagement patterns, transforming static shotgun advertising into dynamic, data-driven campaigns
Solution Approach 2:
The patent transforms static advertising campaigns into dynamic systems that adapt in real-time. Campaign parameters such as asset selection, insertion timing, and targeting criteria are continuously adjusted based on analyzed viewer data, allowing the system to respond to changing viewer preferences and behaviors rather than following fixed predetermined schedules
2Productivity
If asset insertion follows predetermined timeslots without modification, then implementation simplicity is maintained, but campaign effectiveness decreases due to inability to respond to viewer preferences
Solution Approach 1:
The system performs preliminary analysis of viewer data and campaign performance metrics before making asset insertion decisions. By pre-processing and analyzing viewer preferences, demographics, and engagement patterns, the system prepares optimization recommendations in advance, enabling efficient real-time campaign adjustments without adding significant processing complexity during asset insertion
Solution Approach 2:
The patent introduces an intermediary analytics and decision-making layer between the viewer data collection system and the asset insertion execution system. This intermediary component analyzes raw viewer data, translates it into campaign optimization recommendations, and manages the complexity of modifications, thereby simplifying the overall system architecture while enabling sophisticated campaign optimization
Data Source
AI summary
One embodiment herein includes a Content On Demand (COD) asset insertion system that is operable to process a plurality of asset campaigns from a plurality of asset managers, to process information from a remote COD content distributor about COD content selections by a plurality of Customer Premises Equipment (CPEs), to identify and qualify assets of the asset campaigns for insertion in the COD content selections, and to direct the remote COD content distributor to insert the qualified assets into the COD content selections. The embodiment also includes an analytics processor that is operable to collect information about the assets inserted in the COD content selections, to modify the asset campaigns based on the collected information, and to present the modified asset campaigns to the COD asset insertion decision system. The COD asset insertion decision system is further operable to re-qualify the assets based on the modified asset campaigns.