程序化广告
Integral Ad Science
广告质量验证平台，在广告投放前后检测品牌安全、可见率和欺诈风险，提升广告投资回报。
主要用途
Integral Ad Science (IAS) is an independent verification vendor that scores the quality of digital media so advertisers know their ads ran in viewable, fraud-free, brand-safe environments. It measures viewability, invalid traffic, brand safety and suitability, contextual relevance, and increasingly attention across open web, social, CTV, video, audio, and in-game inventory. Pre-bid segments let buyers avoid risky impressions before they purchase, while post-bid measurement reports on what actually delivered. Because IAS is third-party rather than the platform selling the media, its numbers act as a neutral check; advertisers still set their own suitability tiers and risk thresholds, since one brand's acceptable context is another's no-go.
所在链路
IAS plugs into the analytics and optimization layer of programmatic buying, validating that DSP-purchased impressions meet quality standards before and after delivery.
核心功能
- Viewability and invalid-traffic (fraud) measurement across channels
- Brand safety and suitability classification with configurable tiers
- Pre-bid targeting segments integrated into major DSPs
- Contextual relevance and attention metrics
- Post-campaign reporting for open web, social, CTV, and video
适合谁用
- Brands and agencies wanting independent media-quality verification
- Buyers enforcing brand-safety rules across programmatic and social
- Publishers proving inventory quality to demand partners
新手提示
- Decide your suitability tier deliberately — over-blocking shrinks reach and inflates CPMs without always reducing real risk.
- Compare IAS viewability with the platform's own numbers; gaps are normal because measurement methods differ.
- Pre-bid avoidance is cheaper than post-bid regret, so configure exclusion segments before scaling spend.