In the rapidly evolving world of Connected TV (CTV), a new frontier is emerging that promises to revolutionize how advertisers connect with viewers: contextual advertising. With scarcity of first-party data and increased privacy regulations, contextual advertising is stepping into the spotlight to offer a powerful solution blending relevance, effectiveness, and privacy in ways previously unseen in the CTV space.
Contextual advertising is hardly a new concept in the digital marketing world: Google has been using it for years to power AdSense, enabling web site publishers to display highly targeted ads and earn revenue from clicks and impressions. Google's algorithms match ads with a site's audience and content, increasing ad performance and conversions.
While contextual advertising has been table stakes for digital marketing for years, similar capabilities have been conspicuously absent from the CTV space. Why? Limited metadata. Until recently, available data for video content typically covered broad categories such as “genre” and show titles, but lacked specific scene information, such as data about the setting, tone, dialogue or action. This made it difficult – if not impossible – to tailor ads effectively and deliver relevant experiences to viewers.
Not surprisingly, this limitation has been a notable hurdle for CTV advertisers. In the face of sophisticated contextual targeting options in digital media, advertisers have seen the value of reaching audiences via CTV, but struggled with the targeting challenges that came with the territory. But that’s changing – thanks to advancements in AI and machine learning that allow advertisers to target audiences with precision and at scale.
AI: The Game-Changer for CTV Contextual Advertising
The true game-changer in bringing contextual advertising to CTV is the application of advanced AI.
With AI-powered technology, we’re now able to analyze video content to identify details that go far beyond simple genre classifications or show titles – and do it at scale. Pioneering this, Anoki's ContextIQ leverages advanced AI models to analyze video frames and identify scene components ranging from the details of the room in which the scene takes place to the music being played in the background. This level of granular analysis was previously impossible in the CTV space. Today it's opening up a whole new world of possibilities for advertisers who want to reach desirable audiences with highly resonant ad content while still maintaining brand safety and navigating increasing privacy regulations.
The Future of CTV Advertising
As we look to the future, it's clear that contextual advertising is set to become a keystone of CTV advertising strategies. The ability to deliver highly relevant, engaging ads to the household’s largest screen without compromising user privacy is a game-changer for advertisers.
Ready to join us in shaping the future of CTV? Learn more about how Anoki helps brands increase the relevance and efficacy of their contextual advertising with Anoki’s ContextIQ. If you’re seeking to deepen your knowledge, our Contextual CTV Advertising Primer will walk you step-by-step through the advancements in AI upending traditional advertising for maximum viewer engagement, brand safety and adherence to privacy standards.
You will learn:
Why today’s CTV landscape is poised for change
How AI is making CTV targeting challenges a thing of the past
Exactly what Anoki ContextIQ does to deliver relevance and personalization at scale
Download Anioki’s Contextual CTV Advertising Primer today to discover the new frontier of CTV advertising and stay ahead of the curve.
Heading 1
Heading 5
Heading 2
Heading 3
Heading 4
Heading 6
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
