Keyword-Based Asset Insertion for Broadcast Content
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional methods for targeting advertisements on broadcast networks are inefficient, particularly for small market share channels, as they rely on demographic sampling which may not be statistically representative and fail to provide granular audience matching, leading to poor ad placement and reduced revenue opportunities.
Innovation Solution
A system that inserts assets into a broadcast content stream based on textual information from the programming, matching keywords or constraints with the content to select and deliver targeted assets, allowing for real-time or pre-broadcast identification of relevant advertisements to align with the current audience's interests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If demographic sampling methods are used for ad targeting, then coverage of large audience channels is improved, but statistical representativity and granularity for small market share channels deteriorate
Solution Approach 1:
The patent replaces the mechanical sampling system (physical monitors in selected households) with an electronic content analysis system that automatically extracts keywords and topics from program content using computational methods, enabling precise audience inference without physical sampling infrastructure
Solution Approach 2:
The patent introduces program content keywords and topics as an intermediary between the program and the audience, using the content itself as a mediator to infer audience interests and enable ad targeting without directly measuring audience demographics
2Adaptability or versatility
If demographic-based targeting is used, then broad audience coverage is achieved, but granular matching of ads to specific viewer interests deteriorates
Solution Approach 1:
The patent applies local quality by making ad targeting specific to local program content characteristics rather than applying uniform demographic targeting across all programs, allowing each program to receive ads matched to its specific topic and keywords
Solution Approach 2:
The patent changes the targeting parameter from demographic characteristics (age, gender, income) to content characteristics (keywords, topics, program description), enabling granular matching based on what viewers are actually watching rather than who they are
3Ease of manufacture
If conventional ad insertion methods are used, then simplicity of implementation is maintained, but ad effectiveness and revenue generation deteriorate
Solution Approach 1:
The patent performs preliminary action by extracting keywords and analyzing program content in advance of ad selection, preparing content characteristics data beforehand so that ad matching can be performed efficiently without complex real-time processing
Solution Approach 2:
The system enables self-service by allowing the program content itself to provide the targeting information through its keywords and description, eliminating the need for external demographic data collection and processing infrastructure
Data Source
AI summary
A system and method (i.e., utility) is provided for use in connection with delivering content that is targeted to users of a broadcast network. More specifically a utility is provided for inserting targeted content into a broadcast content stream based at least in part on information associated with content of the programming that will be provided via a broadcast network. In this regard, one or more textual fields associated with the programming is monitored (2004) or otherwise reviewed. Based on the textual information from the at least one textual field of the programming, targeted content or ‘assets’ are identified (2008) (i.e., from a collection of assets) that have at least partially matching textual constraints. At least one of the identified assets may then be inserted (2010) into a content stream of the broadcast network and provided in conjunction with the programming.