If you’ve been part of a campaign review involving Connected TV (CTV), you’ve probably seen how the conversation goes. The topline numbers look solid—good reach, high completion rates, premium inventory—but when it comes to answering what the campaign actually delivered, things start to feel a bit less certain. Not wrong, just… not as clear as everyone would like. In an industry that’s become used to precise tracking and quick answers, CTV still leaves room for interpretation. It’s not that the medium isn’t working—it’s that we’re still figuring out how to measure it in a way everyone agrees on.
A big part of the confusion comes from what CTV really represents. It behaves like television in how it’s consumed—on a big screen, often shared—but it’s powered by digital systems that suggest individual-level targeting and tracking. That overlap creates grey areas. When an ad plays on a connected TV, are we counting a household or a person? If multiple people are watching, how do we account for that? And when the same user moves between devices, how accurately can we track that journey? These are everyday questions for planners now, and the answers aren’t always consistent depending on the platform or partner involved.
Then there’s the fragmentation. CTV isn’t one ecosystem—it’s a mix of smart TV manufacturers, streaming platforms, apps, and ad tech layers, each operating slightly differently. Everyone has their own way of defining metrics, their own dashboards, and their own version of performance. So when you’re trying to pull everything together into one report, it can feel like stitching together pieces that weren’t designed to fit perfectly. Someone once summed it up quite simply: “There’s no shortage of data in CTV—just no single version of it.” And that’s where a lot of the friction lies.
From a practical standpoint, this makes decision-making a bit more nuanced. You can still plan effectively, choose the right environments, and reach the audiences you want—but proving impact in a clean, linear way is harder. Attribution, especially, tends to rely on models rather than direct signals. You can make strong assumptions, but not always definitive claims. For teams that are used to performance metrics driving conversations, this can feel like a step back. At the same time, it’s clear that audiences are spending more time on connected platforms, which means brands can’t afford to ignore it either.
What’s interesting is how this is slowly pushing the industry to think beyond just immediate metrics. CTV doesn’t always deliver in clicks or quick conversions—it works more subtly. It builds familiarity, reinforces messaging, and often plays a role alongside other channels. You might see an ad on your TV and only act on it later through your phone. That journey is harder to map, but it’s very real. In that sense, the challenge isn’t just about better tools—it’s also about adjusting expectations around what measurement should capture.
That said, progress is happening. There’s more effort now around standardising metrics, improving cross-platform tracking, and reducing duplication. Some brands are already combining different data sources—platform reports, brand lift studies, and broader models—to get a more complete picture. It’s not perfect, but it’s more grounded in reality than relying on a single metric to explain everything.
For those working in media today, CTV measurement often feels like working with partial visibility. You can see enough to know you’re on the right track, but not always enough to answer every question with certainty. And maybe that’s where the shift needs to happen. Instead of expecting complete clarity from a still-evolving medium, there’s value in learning how to read between the lines a bit more.
Because the truth is, CTV isn’t going anywhere. If anything, it’s becoming a bigger part of how people consume content. The opportunity is already there—the measurement just needs to catch up.
Until then, this remains one of those areas where the industry is learning in real time. Not broken, just still being figured out.
