AI vs. Human Moderation for Brand Safety: Results
Brand safety has never been more crucial in digital advertising. Due to the rise in harmful, misleading, or dangerous content on the internet, businesses are reevaluating their moderation strategies. This blog examines AI vs. Human Moderation for Brand Safety: Results, showing the advantages and disadvantages of each strategy as well as how a human-tech hybrid produces more robust, scalable security measures.
When Brand Safety Hurts Results: The Over-Blocking Problem
While brand safety is critical, over-blocking can limit reach and results. It erases the opportunity for an ad to appear in safe, high-value content and wastes ad spend. What’s needed is safety calibrated with suitability to make sure ads appear in environments that are safe and contextually appropriate. Filament supports advertisers in finding this balance through daily exclusions, audits, and advanced targeting, which safeguard brands and improve results.
How to Measure Incremental Lift in YouTube and Video Campaigns
YouTube ads can directly drive sales; however, last-click metrics often overlook their impact. Incrementality testing compares two groups, one exposed to ads and one not exposed, and reveals the true lift. The adoption of incremental ROAS measurement and safe, relevant placements can empower brands to optimize spending, grow campaigns with assurance, and reap better results across all channels. Filament ensures that ads are placed safely and effectively.
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Contextual advertising is making a comeback and doing better than audience advertising. Audience advertising needs to be tracked, while contextual advertising looks at the content the user engages with and shows ads relevant to that content. It maintains user privacy and gains better engagement. Because of the need for relevance, contextual advertising provides a persistent answer to the problems of targeted advertising.
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Contextual advertising is making a comeback and doing better than audience advertising. Audience advertising needs to be tracked, while contextual advertising looks at the content the user engages with and shows ads relevant to that content. It maintains user privacy and gains better engagement. Because of the need for relevance, contextual advertising provides a persistent answer to the problems of targeted advertising.
Whitepaper 1
Contextual advertising is making a comeback and doing better than audience advertising. Audience advertising needs to be tracked, while contextual advertising looks at the content the user engages with and shows ads relevant to that content. It maintains user privacy and gains better engagement. Because of the need for relevance, contextual advertising provides a persistent answer to the problems of targeted advertising.
- 1Function: Builds a custom contextual targeting network for your campaign.
- Capabilities: Finds relevant content in real time based on your input, creating a mini-network of related content.
- Impact: Custom networks are integrated into your campaign, starting from a topic and expanding into a network of similar channels, viewing behavior.
- 1Function: Builds a custom contextual targeting network for your campaign.
- Capabilities: Finds relevant content in real time based on your input, creating a mini-network of related content.
- Impact: Custom networks are integrated into your campaign, starting from a topic and expanding into a network of similar channels, viewing behavior.
