AI-powered contextual advertising for CTV
The challenge with traditional CTV advertising
In the rapidly expanding realm of CTV, traditional advertising strategies are no longer relevant or effective. Traditional CTV ads are often broadly targeted and disconnected from the content they accompany. This mismatch leads to diminished viewer engagement and can harm brand perception if ads are placed next to inappropriate content. That's not all; privacy regulations are expanding and limiting the use of tracking technologies. What's needed is an intelligent, content-focused advertising strategy that uses context to deliver ads that are highly relevant - to the right people at the right time, when they are primed and ready to engage.
Transforming CTV advertising with advanced AI
Magically serve up hyper-relevant, perfectly-timed CTV ads matched to the scene and sentiment of the surrounding content.
Advanced contextual targeting
ContextIQ dissects scene-level metadata to understand the context, keywords, and sentiment of what viewers are watching, enabling hyper-relevant ad placements, ensuring that your brand is seen in the right context at the right time. This approach is far more intelligent than traditional methods that may only consider the genre of the content.
Enhanced brand safety
Our AI-driven platform analyzes and evaluates the suitability of scenes based on brand safety standards, protecting your brand's integrity and aligning with your audience's values and expectations.
Privacy-focused approach
ContextIQ works by focusing on the content, not viewer data, making it easy to adhere to new and emerging regulatory frameworks around data privacy. The result? A future-proof solution for contextual CTV advertising.
Contextual CTV Advertising —
A Primer
Contextual CTV advertising assures ads are highly relevant and contextually aligned with the content viewers are watching. Learn how advancements in AI upend traditional advertising and usher in contextual CTV ads that ensure maximum viewer engagement, brand safety, and adherence to privacy standards.
