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- Metadata Bingo: How CTV’s Contextual Targeting is One Big Joke
Metadata Bingo: How CTV’s Contextual Targeting is One Big Joke
How the Ad Industry is Paying Top Dollar for Junk Data (Again)

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There are only a handful of truly informed people in this industry who actually understand what’s happening here—and how big of a mess it really is.
The rest? Either blissfully ignorant, willfully complicit, or too busy cashing checks to care.
But let’s be clear: this isn’t just another minor annoyance in ad-tech’s long list of inefficiencies.
This is the same playbook we’ve seen before, the same sleight-of-hand trick that verification companies pulled on social networks.
Remember when the platforms let so-called "verification" companies run around grading content based on vague, arbitrary, and often biased guidelines set by the very platforms they were supposed to be independently evaluating?
It was a brilliant con: sell the illusion of oversight while ensuring the platforms still controlled the game. And now, that very same scam has crept into CTV and streaming audio, hidden behind buzzwords like "brand safety" and "contextual targeting," designed to make buyers feel safe while they’re really just getting duped.
What a joke.
At ADOTAT, we’re not here to let that slide. We’re pulling back the curtain so you actually understand what’s going on—who’s selling the illusion, who’s profiting from it, and how it’s shaping the future of digital media in ways most people don’t even realize. Because the only thing worse than paying for garbage data is thinking you’re getting something premium while the entire ecosystem laughs all the way to the bank.
The Great Contextual Con Job: Why Your CTV Targeting Is Built on a House of Lies 🎭💸
Ah, the sweet, musky scent of ad-tech snake oil. You know it well—the kind that fills boardrooms with the promise of “next-gen” solutions that are really just an elaborate shell game played by guys in Patagonia vests who wouldn’t know real tech if it smacked them across the face with a line of Python. And yet, here we are again, peeling back another layer of this industry’s grand illusion.
So, a well-known ad exec—who, let’s just say, has enough industry scars to make a CTV fraudster sweat—sat down with me to drop a truth bomb that should have the entire ad-tech ecosystem squirming in their Aeron chairs. This guy isn’t just some LinkedIn loudmouth; he’s been in the trenches, working for some of the largest networks and is currently embedded deep in the CTV and streaming world. He knows where the bodies are buried because, well, he’s been in the rooms where they were dumped.
Here’s his claim, and it’s a doozy:
👉 Every so-called "contextual" or "brand safety" solution in CTV and online video is an absolute farce—a smokescreen wrapped in buzzwords, sprinkled with AI jargon, and sold to advertisers like it’s some kind of digital panacea.
You’ve heard the pitch before:
“Our cutting-edge, AI-powered, machine-learning-driven, next-gen contextual targeting solution ensures brand safety by analyzing video content in real time!”
Sounds fantastic, right? Almost too good to be true. And that’s because it is.