Contextual In Action: How United Airlines Reached New Heights with CTV Advertising


When United Airlines launched its new nonstop service from the United States to Marrakech, Morocco, they partnered with Seedtag for a Connected TV (CTV) advertising campaign to reach travelers with relevant interests. Through an innovative contextual advertising approach powered by our contextual AI Liz, the campaign has achieved a 48% increase in consumer recognition of the new route and drove notable lifts in brand favorability and travel consideration.
In collaboration with agency partner Carat, United Airlines aimed to build awareness for its new Marrakech route by connecting with potential travelers whose interests aligned with the unique aspects of the destination, building an audience based on what inspires them. Traditional travel advertising typically focuses on narrow targeting categories, but this campaign pushed boundaries by using contextual AI to uncover custom audience interests beyond conventional travel themes.
How It Worked:
As a result, the campaign went beyond the limits of traditional travel advertising by identifying white-space opportunities and placing United Airlines’ ads where they would be most effective and earn the most engagement from viewers.
According to a third-party analysis by Cint, the partnership between United Airlines and Seedtag has delivered major results across key brand metrics:
Additionally, the campaign reached over 122,000 unique households through CTV, placing ads in content genres that resonated with audiences ready to be inspired by new travel experiences. This targeted approach maximized relevance while keeping messaging contextually appropriate.
"This campaign was a perfect example of how our contextual advertising solutions can redefine audience engagement," said Kartal Goskel, CTO at Seedtag. "By merging our AI-powered contextual analysis of the open web with CTV execution, we connected United Airlines with travelers at the moments that truly mattered."
The ability to reach potential travelers through contextually relevant ads enabled United Airlines to establish a compelling narrative about its new route to Marrakech while reinforcing its brand promise. This strategy not only boosted awareness but also fostered deeper audience engagement, ensuring long-term brand loyalty.
The partnership with United Airlines highlights the transformative potential of contextual advertising in travel marketing. By blending CTV targeting with AI-driven open web content analysis, brands can craft campaigns that resonate emotionally while driving measurable business outcomes.
As travel continues to recover globally, contextual strategies will remain essential for brands seeking to differentiate themselves in a crowded market. Seedtag’s contextual solutions empower brands to stay ahead in a rapidly evolving advertising landscape, going beyond conventional targeting to create tailored, high-impact campaigns.
Ready to make your brand’s advertising strategy first class? Discover how contextual targeting can help your campaigns reach for the sky.
Find answers to get the most out of Seedtag.
Neuro-Contextual Advertising is an evolution of contextual advertising that uses AI to understand interest, emotion, and intent within content. Instead of relying on personal data, it helps brands align advertising with the moment people are experiencing in real time.
Contextual advertising places ads based on the content a person is engaging with, rather than personal browsing history or identifiers. Neuro-Contextual approaches go beyond traditional contextual targeting by understanding audience interest, emotion, and intent.
CTV advertising refers to ads delivered through Connected TV environments, including streaming platforms and smart TV applications. It allows brands to reach audiences across premium video experiences using more contextual and privacy-first targeting approaches.
Liz is Seedtag’s proprietary Neuro-Contextual AI, designed for full-funnel advertising across premium open web, video, and CTV environments. Grounded in neuroscience, Liz understands contextual signals such as interest, emotion, and intent in a human-like way to deliver relevant advertising experiences in real time while respecting user privacy.
With consumers increasingly wary of data collection and cookies, privacy-first advertising focuses on delivering personalized and relevant ads while respecting user privacy. Neuro-Contextual advertising enables relevant advertising experiences without relying on personal data or third-party cookies.
Leveraging neuroscience principles, Liz recognizes patterns, interprets context, and responds dynamically to user interests, emotions, and intentions. This creates a more cohesive and intelligent system capable of delivering more relevant advertising experiences.