CTV Advertising

More U.S. households now stream than watch cable. That’s not a trend anymore, it’s the market. But most advertisers are still buying CTV inventory the way they used to buy linear: broad, reach-driven, and blind to who’s actually on the other side of the screen.

VentiveIQ closes that gap. Our CTV data is built from real household viewership, not modeled assumptions, so you’re not paying to reach a screen. You’re paying to reach the right person, watching the right content, at the right moment to convert.

Most CTV targeting stops at “household.” VentiveIQ goes further, pairing device-level viewership with our cookieless identity graph so you can target by genre, platform, and streaming behavior, then verify who actually watched.

VentiveIQ’s Total Home Panel passively measures viewership across tens of thousands of Wi-Fi-connected devices, capturing real behavior on Netflix, Hulu, Amazon, and YouTube as it happens, without relying on self-reported surveys or stale panels. That deterministic data becomes the seed set for our modeling, so accuracy scales with your campaign instead of degrading as you grow.

The result: you can finally tell the difference between a casual viewer and a heavy SVOD household, and build campaigns around that difference instead of ignoring it.

Viewership data is only useful if it connects to the rest of your stack. VentiveIQ’s Identity Graph fuses CTV viewership with digital and CRM signals in real time, so a household you see streaming tonight is the same household your DSP, your CRM, and your attribution model recognize tomorrow. Cookieless, and built to hold up as third-party identifiers keep disappearing.

That means:

• Frequency capping that actually works, because you’re not duplicating spend across devices you don’t know are the same home
• Suppression and conquesting, so you stop paying to advertise to your own customers, or start targeting your competitor’s
• Closed-loop measurement, connecting a CTV impression to what happened next: a site visit, a lead, a sale

Samples/Tables Included: OTT Viewership Data · Genre Taxonomy · Household Match KeysFields Included: User ID · ID Type · Segment ID · Segment Name · Household ID

Generic CTV targeting is fine if you’re selling something nobody has to think twice about. It falls apart the moment your category has a compliance requirement, a long consideration cycle, or a budget your CFO is going to ask about.

VentiveIQ’s CTV data is already doing the harder version of this job:

• Healthcare & Pharma: Reach patient and caregiver audiences on streaming platforms without touching a single protected data point you shouldn’t.
• Automotive: Layer in-market shopper signals on top of streaming behavior, so your dealership ad hits someone actually shopping, not just someone home on a Tuesday night.
• Political & Advocacy: Move fast, target precisely, and prove reach across a fragmented, cord-cutting electorate.
• Insurance: Find and retain policyholders with household-level precision instead of buying broad demo-based reach and hoping.

Every targeting claim on this page is backed by deterministic data, not a black box. Our Total Home Panel measures real devices. Our Identity Graph resolves real households. And our privacy approach is built to survive regulatory change, not just react to it.

That’s part of why VentiveIQ already runs inside the stacks marketers trust most, including The Trade Desk, PubMatic, Lotame, and Google DV360, instead of asking you to rip and replace what already works.

Built on Trust. Proven by Partnerships.

Streaming isn’t the future of TV advertising anymore. It’s the present, and the advertisers still buying it like it’s 2015 are the ones leaving reach, and revenue, on the table.

Request Demo / Talk to Our Team / Download the CTV Guide