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Future of TV Briefing: OpenX adds attention targeting for CTV ads backed by TVision

This week’s Future of TV Briefing looks at a new ad targeting option for CTV advertisers wary of people staring at their phones while an ad airs.

7 April 2026 at 08:08 am
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Future of TV Briefing: OpenX adds attention targeting for CTV ads backed by TVision

This week’s Future of TV Briefing explores a groundbreaking development in the world of advertising: OpenX’s introduction of attention targeting for CTV ads, backed by TVision. In an era where viewers are increasingly likely to engage with their smartphones while watching television, advertisers have long been concerned about the phenomenon of "second-screen viewing," where audiences split their attention between the TV screen and their mobile devices. This new ad targeting option aims to address these concerns by offering advertisers a way to ensure their messages reach viewers who are fully engaged with the content on their screens.

The rise of second-screen viewing has posed significant challenges for advertisers. Traditional TV advertising relies on the assumption that viewers are paying attention to the content being displayed. However, with the prevalence of smartphones and other mobile devices, many viewers are now multitasking, using their phones to browse social media, check emails, or engage in other activities while watching TV. This can lead to a disconnect between the advertiser’s intended message and the viewer’s actual attention, resulting in lower engagement rates and diminished returns on investment.

To combat this issue, OpenX, a leading provider of programmatic advertising solutions, has partnered with TVision, a company specializing in attention-based advertising, to introduce attention targeting for CTV ads. This innovative approach leverages advanced AI and machine learning algorithms to analyze viewer behavior in real-time, identifying those who are actively engaged with the content being displayed on their TV screens. By doing so, advertisers can ensure that their ads are shown exclusively to viewers who are paying full attention, thereby maximizing the effectiveness of their campaigns.

The introduction of attention targeting for CTV ads is not without its precedents. In recent years, other companies have explored similar strategies to address the challenges posed by second-screen viewing. For instance, Netflix, the streaming giant, acquired a startup called Paid Attention in 2021, which focuses on measuring and optimizing viewer engagement. Similarly, Amazon has introduced its own ad targeting option, allowing advertisers to target users based on their browsing and purchasing behavior on the platform.

While these developments represent a significant shift in the advertising landscape, they also raise important questions about the role of technology in shaping the future of TV advertising. As attention targeting becomes more prevalent, advertisers must carefully consider the ethical implications of using such tools. For example, does attention targeting infringe upon viewer privacy, or does it simply represent a more efficient way of delivering targeted content?

Furthermore, the success of attention targeting for CTV ads will depend on the accuracy and reliability of the technology used to measure viewer engagement. If the algorithms are not able to accurately distinguish between viewers who are genuinely engaged and those who are not, advertisers may end up paying for ads that are not as effective as they would like.

In conclusion, OpenX’s addition of attention targeting for CTV ads, backed by TVision, represents a significant step forward in the battle against second-screen viewing. By offering advertisers a way to ensure their ads are seen by viewers who are fully engaged with the content, this new targeting option has the potential to revolutionize the way TV advertising is conducted. As the technology continues to evolve, it will be interesting to see how advertisers, marketers, and viewers adapt to these changes and what new challenges they may present.

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