Connected TV is no longer the future, it’s firmly here. Audiences are shifting their viewing habits, brands are allocating significant budgets, and the promise of large, engaged screens is reshaping media planning. But as CTV grows, so too does a critical question:
“What does ‘premium’ really mean in this space?”
Over the past several months, working deeply in CTV, one uncomfortable truth has become increasingly clear: the industry treats Connected TV as premium by default. Often not proven, nor inspected. Just assumed. And that assumption is quietly shaping budgets, pricing, and expectations… often in ways that don’t reflect reality.
Not All Screens Are Created Equal
This is not a critique of CTV as a medium. On the contrary, CTV represents an enormous opportunity for advertisers and brands. It reaches audiences on large, engaging screens, often in brand-safe environments, and promises premium reach in a fragmented digital world. Yet despite the excitement, conversations around CTV too often skip a crucial step- namely understanding what CTV actually is, the different types of inventory available, and how value is delivered.
CTV is not just one thing. It encompasses a diverse ecosystem of ad-supported streaming (FAST), subscription-based services (SVOD), network-owned apps, and device platforms. Each delivers different audience behaviours, levels of engagement, and measurable outcomes. Understanding these nuances is essential to unlocking the medium’s full potential, as each environment comes with different engagement patterns, attention spans, and transparency levels. Treating all impressions as premium oversimplifies the reality.
At its core, CTV is programmatic at scale. Ads are delivered through complex supply paths, across multiple networks, and via intermediaries, often with limited visibility. Data can be inconsistent, inferred rather than observed, and context is frequently missing. Yet pricing often assumes that a large screen automatically confers premium value. Many buyers still cannot clearly see the supply path their budget takes, how many intermediaries sit between them and the screen, or what is actually being delivered. They rarely have insight into frequency, creative relevance, engagement, or even the environmental footprint of impressions. Without this visibility, buying decisions are often based on assumptions rather than insight.
Measurement That Matches The Medium
Even basic measurement in CTV is still catching up with the medium itself. Much of the industry continues to rely on traditional panel-based systems used by providers such as BARB. These models were designed for broadcast television, collecting viewing data from a limited panel of households through router meters, then using statistical modelling to estimate what the wider population is watching. In a linear TV world, that methodology worked well. But in modern CTV environments, where viewers access content through encrypted apps and complex streaming ecosystems, these systems cannot directly read granular digital signals such as URLs, app domains, or specific content identifiers due to SSL encryption.
As a result, viewing behaviour is often inferred using probabilistic models rather than observed through deterministic signals from the underlying content streams. The irony is that many FAST and streaming environments already generate rich contextual data (programme metadata, stream identifiers, and platform signals), but traditional measurement frameworks were never designed to capture or connect them. As CTV evolves, the industry has an opportunity to move beyond legacy estimation and start using the deterministic signals that already exist to understand what audiences are actually watching.
Signals Over Assumptions
By establishing these frameworks for signal visibility, context alignment, and creative relevance now, the industry can ensure that brands understand audience quality, that pricing reflects true value, and trust is maintained as the medium grows. In short, we have an opportunity to get the fundamentals right before assumptions become entrenched.
If CTV is to justify trust-level budgets, advertisers need actionable signals, and they go beyond impressions or device graphs. These include supply path quality, ad frequency and sequencing, creative relevance, engagement, and audience quality.
Context matters: a comedy ad in a horror movie is unlikely to resonate.
Frequency matters: showing the same ad too many times or too few can undercut performance.
Audience matters: a viewer who tolerates ads for free is different from a paying subscriber actively engaged with the content.
And increasingly, sustainability matters: carbon impact is a signal that brands are watching.
The CTV market is still maturing. We have a rare opportunity to establish measurement standards before the medium scales uncontrollably. Lessons from web programmatic are instructive. When inventory grows faster than measurement standards, the result is fragmented reporting, inconsistent metrics, and frustration for both advertisers and media owners. But we can learn from our mistakes and get the fundamentals right before CTV truly scales. Context, frequency, audience quality, and transparency can be the foundation, not the afterthought.
CTV is not just another screen; it is a new paradigm for brand engagement. Premium is no longer simply a matter of device or reach; it is defined by audience, context, and measurable impact. The challenge for the industry is clear; how do we embrace the medium’s growth responsibly, with insight driving decisions rather than assumption? Early adoption of measurement standards, context-aware strategies, and actionable signals isn’t just best practice; it’s essential to establishing long-term trust and performance in CTV.
If CTV is the future of premium media, the question is- will we measure it wisely, or just assume it delivers?
