

Named account targeting on streaming TV works by uploading your target account list — from HubSpot, Salesforce, Klaviyo, or a CSV — to a CTV platform, which matches it to residential streaming households through an identity graph. When a matched employee streams at home that evening, your ad runs. The same account-based approach you run on LinkedIn now extends to a channel that reaches those same buyers when they're not at their desks.
B2B ad budgets have gotten efficient at a channel that's becoming expensive. According to eMarketer, 242 million Americans stream TV in 2026 — 64% more than Instagram's US audience. CPMs to reach senior decision-makers on LinkedIn have climbed to $55–$150 per thousand impressions, up roughly 28% year over year. The named account list sitting in your CRM is already your best targeting asset for this channel. Most B2B teams haven't connected it yet. Understanding the difference between ABM and demand generation is the starting point; this guide covers the targeting mechanics once you've made that call.
On Vibe.co, account lists come in three forms, and your match rate depends on which you use.
A CSV with business email addresses is the simplest starting point. Export your target account contacts from your CRM — names, companies, and emails — and upload the file directly. Vibe's identity graph ingests TransUnion signal data alongside the upload to connect those work identities to home streaming devices. For a closer look at how CRM data connects to streaming TV targeting, that piece covers the full data flow.
A native platform sync eliminates the export step entirely. The Vibe HubSpot integration connects to HubSpot list segments and workflow audiences directly; Salesforce and Klaviyo work the same way — your source of record stays intact and the audience refreshes automatically. Reporting rolls up at the company level: individual households aggregate into company-level coverage, impressions, and CPM — not a scatter of anonymous viewer data.
Firmographic targeting builds the audience without a list at all. If you don't have enriched contact data for every target account, Vibe lets you filter by industry, company size, job function, and job title. You can preview your matched company count before spending a dollar.
On a 500-account segment, expect to reach roughly 300 to 350 companies — a 60–70% match rate, which is normal for B2B identity resolution, according to Vibe's own ABM benchmarks. Lists that include personal emails or phone numbers alongside business addresses raise match rates further.
The mechanics start with an identity graph — a database that links professional and personal signals across device types. What an identity graph is and how it works is covered in depth elsewhere; in practical terms for named account targeting, a work email resolves through Vibe's graph — enriched with TransUnion data — to a verified home IP address and CTV device ID.
This is household-level reach, not work-device targeting. You're not serving an ad on a LinkedIn sidebar or a corporate laptop. You're reaching the VP of Engineering on Thursday night, streaming on their TV at home. For most B2B purchases, the decision happens outside office hours. The economic buyer, specifically, often delegates research and holds veto power — they're not filling out forms or clicking ads, but they do go home and stream.
There are two resolution modes. Deterministic matching — a confirmed email or phone tied directly to a streaming device — is the most precise. Probabilistic matching extends reach beyond what your contact list covers, at lower confidence. Most campaigns run both.
B2B purchases involve 5 to 16 people across roughly 4 functions, according to Gartner's B2B Buying Research. Consensus across the committee lifts deal quality by 2.5x. With household-level targeting, you're not just reaching one contact per account — you're reaching the committee.
A suppression list works exactly like your targeting list: upload a CSV or sync a segment from HubSpot, Salesforce, or Klaviyo, and Vibe excludes matched households from impressions. Skipping this step wastes budget and muddies measurement. You can also target or blacklist your full CRM database on CTV — the same mechanic applies.
The cleaner structure is two lists running simultaneously:
CRM deal stages drive this split naturally. In HubSpot, sync your "Target Accounts — Not a Customer" list for new-account campaigns and your "Opportunities — Stage 2+" segment for mid-funnel creative; Salesforce Opportunity Stage filters and Klaviyo list conditions work the same way. Same platform, two distinct audience pools, two different messages reaching the buying committee at different points in their journey.
This is where most B2B teams stall. CTV exposure is a view, not a click — it won't appear in GA4 or your CRM by default. The fix is wiring the Vibe Pixel to a custom deal property in your CRM before launch.
Here's the setup: the Pixel fires when an exposed viewer visits your site after seeing the ad. That contact gets tagged with a "Vibe Matched" property in your CRM. When the contact becomes a deal, the pipeline credit appears alongside SEM and paid social — not in a separate CTV dashboard that requires a separate justification step before anyone looks at it.
Northbeam integrates natively for cross-channel attribution, connecting CTV exposure to the same view as Search and Social. For incrementality — whether CTV actually caused the outcome, not just correlated with it — Prescient and Stella both integrate natively to measure lift against a randomized holdout. Set the holdout before launch. The rule is simple: never accept delivered vs. undelivered as proof of anything.
AirOps, a B2B SaaS company, wired this setup before its first Vibe campaign. Results in 90 days: 3.4x lead volume growth, a 47% cost-per-lead reduction, and $580,600 in qualified pipeline from $43,500 in spend — a 12.9x pipeline-to-spend ratio, visible in HubSpot alongside every other paid channel. “CTV was the only paid channel we couldn’t track to pipeline. That was the whole blocker,” said Jim Tan, Head of Growth Marketing. “Once it showed up in HubSpot next to everything else, it stopped being a guessing game.”
Not all CTV platforms are built for account-based campaigns. Before choosing one, ask three questions: Does it accept business email lists or CRM-based segments natively, or only through a third-party data partner? Does it integrate with your CRM so audiences update automatically? And where do results appear — in the platform's own dashboard, or alongside your other paid channels in Northbeam, HubSpot, or Salesforce?
NYXT, an automotive dealership marketing platform, ran named account campaigns on Vibe targeting financial decision-makers at dealerships. Cost per lead landed at $0.85 — against $3.50 running the same audience profile on LinkedIn. Same decision-makers, different channel, different economics.
For more on building a full B2B lead generation program on streaming TV, that piece covers the full-funnel structure. And for teams exploring growth tactics specific to B2B marketers on CTV, there's a dedicated guide there too.
Performance advertising for B2B runs on three channels: Search, Social, and TV. LinkedIn owns the work device during the day; streaming TV owns the living room in the evening. For TV to function as a real third pillar — not a separate media experiment — its results need to show up in the same dashboard as the other two. Vibe's native integrations with Northbeam, HubSpot, and Salesforce mean pipeline attributed to CTV sits next to pipeline from Google and LinkedIn, without reconciliation. Browse Vibe's B2B advertising capabilities for the full integration overview.
Not effectively. Without an identity graph, CTV platforms can only target by demographics or geography — which delivers reach, not account precision. Matching a named account list to streaming households requires resolving company identity data (email, domain) to a residential device ID or home IP address. Platforms without a first-party or enriched identity graph can't do this deterministically; you'd be reaching broad audiences that might include some target accounts by coincidence, not by design.
LinkedIn reaches buyers on work devices during business hours; streaming TV reaches the same people at home in the evening on their TVs. LinkedIn match rates on named account lists are typically high because matching happens within LinkedIn's own professional network. Streaming TV match rates for B2B lists run 60–70% for email-based lists, according to Vibe benchmarks. Both are additive — TV extends reach to the 60% of waking hours that aren't work hours. NYXT ran the same audience profile on both channels and found the CPL on Vibe was $0.85 against $3.50 on LinkedIn.
On a 500-account segment, expect to reach roughly 300–350 companies — a 60–70% match rate using Vibe's identity graph, per Vibe's own ABM benchmarks. Including personal emails or phone numbers in your upload alongside business emails raises that rate. Company domain lists without email addresses match lower, since domain-to-household resolution is probabilistic rather than deterministic.
Vibe's identity graph resolves work email addresses to home streaming devices by mapping professional identities to residential signals using first-party data and TransUnion enrichment. You don't need your contacts' personal emails in your CRM — the graph handles the translation internally. Match rates improve when the uploaded list includes multiple signals per contact (business email plus phone, for example), but business email alone is a valid starting point.
Yes. Vibe is self-serve — connect your HubSpot, Salesforce, Klaviyo, or other CRM list directly, set your firmographic filters, and launch without a media agency involved. A dedicated account team is included to assist with list setup, audience configuration, and attribution troubleshooting. There are no minimum spend requirements to get started.


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