Automated Content Analysis for Brand Safety and Yield
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Solution Overview
Problem
Advertisers face brand safety concerns when purchasing advertisement slots, often limiting their reach by avoiding certain content categories, leading to reduced advertising yield and unfilled inventory for media platforms.
Innovation Solution
An automated workflow using machine learning and artificial intelligence to analyze content and generate suitability ratings based on client tolerance profiles and risk level information, allowing for more precise matching of content with advertiser safety profiles, thereby identifying suitable advertisement slots.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If advertisers exclude advertisement slots alongside certain content categories to address brand safety concerns, then brand safety is improved, but the reach and yield of advertising campaigns deteriorate
Solution Approach 1:
The patent segments content categories into overly broad categories (e.g., all news content, all episodes of a TV series) and overly specific categories (e.g., specific segments within a show), with a gap in between. The invention fills this gap by enabling advertisers to define and exclude only the specific content segments they are concerned about, rather than excluding entire categories. This segmentation allows advertisers to maintain brand safety for specific problematic content while preserving access to the majority of content that would otherwise be unnecessarily excluded.
2Reliability
If advertisers use overly broad content category exclusions to ensure brand safety, then brand safety concerns are addressed, but the incremental reach of advertising campaigns is unnecessarily limited
Solution Approach 1:
The patent applies local quality by enabling advertisers to target their brand safety concerns to specific local segments of content rather than applying blanket exclusions across entire categories. The system allows advertisers to identify and exclude only the specific segments, scenes, or portions of content that pose brand safety risks, while permitting advertisements to run alongside the rest of the content. This localized approach ensures brand safety assurance is applied precisely where needed without unnecessarily limiting advertising reach across the broader content landscape.
3Ease of operation
If media platforms reduce the number of advertisement slots sold to address advertiser concerns, then advertiser comfort level is improved, but advertising yield and inventory fill rate deteriorate
Solution Approach 1:
The patent introduces an intermediary system that acts as a mediator between media platforms and advertisers. This intermediary comprises tools and interfaces that enable advertisers to independently define their brand safety parameters, identify problematic content segments, and set exclusion criteria. The system then automatically applies these criteria to identify suitable advertisement slots. This intermediary empowers advertisers with control and transparency, improving their comfort level and trust, while simultaneously maintaining a larger pool of available inventory for media platforms, thus preserving advertising yield without requiring platforms to manually reduce slot availability.
Data Source
AI summary
According to at least one embodiment, one or more potential advertisement slots may be identified based on contextual characteristics relating to content. Such contextual characteristics may include tonality, sentiment and/or data that places potentially worrisome content in context. By identifying potential advertisement slots based on such characteristics, a seller develops a better understanding of content running on its own media platform(s), builds a greater level of trust with its advertiser partners, and generates better yield with respect to its advertisement inventory.


