Netflix's ad business will evolve beyond replicating traditional TV ads. The plan is to create ad experiences that tell a cohesive story across a binge-watching session, recognizing and adapting to user behavior for greater impact and differentiation from linear TV.
GenAI transforms advertising's core pillars. It enables hyper-personalized creatives at scale, democratizes ad production for smaller businesses, and fundamentally enhances the two most critical functions of any ad platform: predicting user behavior and measuring campaign outcomes.
The future of media is not just recommended content, but content rendered on-the-fly for each user. AI will analyze micro-behaviors like eye movement and swipe speed to generate the most engaging possible video in that exact moment. The algorithm will become the content itself.
The real economic value of generative video lies in advertising, not filmmaking. Unlike movies with finite consumption, there is unlimited demand for personalized, diverse ad content. This makes advertising a perfect fit for the technology's scalable content creation capabilities.
Netflix requires early action scenes and repeated plot points because they directly compete with viewers' phones for attention. Unlike traditional filmmakers with a captive theater audience, Netflix must optimize for retention in a distracted home environment, treating content more like science than art.
Brands must adapt messaging for different buyer personas, even for the same product. Just as Netflix customizes thumbnails to appeal to varied viewer preferences (e.g., focusing on a male vs. female lead), businesses should highlight different benefits to resonate with distinct customer motivations.
For 20 years, Netflix's identity was built on 'no ads, no live sports, and no big acquisitions.' Its recent reversal on all these fronts to maintain market dominance shows that adapting to new realities is more critical for long-term success than rigidly adhering to foundational principles.
The goal for advertising in AI shouldn't just be to avoid disruption. The aim is to create ads so valuable and helpful that users would prefer the experience *with* the ads. This shifts the focus from simple relevance to actively enhancing the user's task or solving their immediate problem.
The next major shift in ad tech is performance-based CTV. This merges the attention of linear TV with the accountability of digital media, allowing advertisers to tie ad spend directly to outcomes like sales—a revolutionary change from traditional television's limitations.
Netflix's content strategy has adapted to the reality of dual-screen viewing. Realizing audiences are often on their phones, they produce shows that are easy to follow in the background. This involves constant plot "signposting" so a distracted viewer can look up and immediately understand what's happening.
Services like HBO Max rely on occasional "FOMO TV" hits (e.g., *White Lotus*), but their weakness is low daily engagement. Netflix's dominance stems from its daily-use nature, which generates vast data to train its powerful content discovery algorithm, creating a moat that competitors struggle to cross.