

Paid social CPMs have climbed steadily over the past three years, and iOS privacy changes stripped out a significant portion of the signal performance marketers relied on for prospecting. The channels that used to find net-new customers at scale are now better optimized for retargeting audiences you’ve already built. CTV and Meta aren’t competing for the same audience — they’re competing for the same budget. That distinction matters when you’re deciding where to move upper-funnel prospecting spend.
Performance marketers don’t move budget because Meta stopped working. They move because Meta stopped scaling. Once a brand reaches a meaningful share of its addressable audience on paid social, incremental prospecting becomes harder — not because of ad quality, but because the pool has limits. iOS changes compressed the identifiable prospecting universe further, making lookalike modeling less reliable than it was before 2021. The signal loss made it harder to exclude existing customers from prospecting delivery, which meant some portion of “prospecting” spend was simply retargeting people who already knew the brand.
The CPM pressure compounds this. Every brand in your category bids against you in the same auction. More competition on a fixed inventory means higher costs for the same reach — reach that’s increasingly concentrated in audiences you’ve already touched.
Shinesty, a DTC underwear and apparel brand, ran into this ceiling clearly. They’d reached roughly 40% of US adults on Meta — not from underperformance, but from running an effective program long enough that the incremental audience had nearly run out. More spend didn’t produce more net-new customers. That’s the point where adding channels stops being optional.
Four things determine whether a new channel can carry prospecting load:
Linear TV checked some of these boxes historically but failed on measurement and targeting. Display advertising reaches incremental audiences but at low attention levels. Streaming TV — full-screen, targeted, verifiable — addresses all four. And unlike upper-funnel search, which tops out in audience scale, the 120M+ US streaming households provide real room to grow.
On Vibe.co, performance marketers build prospecting campaigns using the same first-party data infrastructure they’ve already built on social. Klaviyo suppression lists become targeting exclusions, removing existing customers from impression delivery so that every streaming impression reaches someone who hasn’t bought. High-LTV customer cohorts become seed audiences for lookalike modeling. CRM segments sync directly through Vibe’s Klaviyo integration without requiring a data contract or a third-party audience service.
The ad environment itself changes the economics. Streaming TV ads are full-screen, delivered on a 55-inch screen, and unskippable. Completion rates on Vibe campaigns average above 95%. That’s not comparable to an in-feed social impression competing with 40 other posts in a scroll — the attention quality is categorically different.
Shinesty’s result illustrates this directly. By loading their all-time purchaser list as a Klaviyo suppression, 70% of Vibe-driven purchases came from net-new customers — at a CPM under $19, with no holiday spike through Q4. The brand wasn’t bidding against its own retargeting audience. It was reaching households it had never touched.
The most effective prospecting campaigns start from data you already have, not from demographic profiles assembled from scratch.
The setup follows a consistent pattern. Upload your customer list — email, phone, or Shopify customer ID — to suppress existing buyers from prospecting delivery. Build a lookalike from your highest-LTV cohort or highest-converting customer segment. Layer in intent signals if available: keyword audiences, category interest, in-market behavioral data from Vibe’s audience targeting tools.
Klaviyo segments transfer directly. A suppression list you’ve been building for years — non-purchasers, lapsed customers by cohort, unengaged subscribers — becomes a precision targeting tool for DTC brands within hours, not weeks. The sync is automatic.
The common mistake is building CTV audiences from scratch — age ranges, income brackets, broad interest categories — when the targeting work already exists in the tools you’re using. Your CRM data is your best prospecting asset on streaming TV. Most brands haven’t connected it.
Performance advertising functions best when all three channels — Search, Social, and TV — appear in the same reporting layer. When TV lives in a separate dashboard that requires its own logic to interpret, it can’t be managed as a real pillar in the channel mix. It stays an experiment.
The practical question is whether your existing attribution stack can see it. Vibe integrates natively with Northbeam, Triple Whale, and Haus — so TV impressions run through the same Clicks + Deterministic Views model as your other channels, not a walled-garden attribution system that can only compare CTV against itself. The full suite of attribution platform integrations means results land in the same view as your Meta and Google spend.
Sijo Home, a DTC home textiles brand, saw 57% lower new-customer CAC versus social after integrating CTV into its channel mix — verified by Northbeam and visible in the same dashboard alongside other channels. Sijo’s full case study covers how they attributed CTV to new customer acquisition and scaled from there.
TYR, a performance athletic brand, ran Klaviyo and Shopify CRM data for retargeting and prospecting concurrently. Over 60 days: 234.6% revenue growth, a 24.2% blended CAC reduction, and 5.24x overall MER. Northbeam provided cross-channel visibility across Meta, Google, and Vibe in a single view. “Northbeam gives us the true story of the customer journey,” said Natalie McGowan, paid media specialist at TYR.
One thing to understand about attribution windows: most upper-funnel channels get undercounted by last-click models. A customer who saw a CTV ad, then converted on Meta two days later, shows up as a Meta conversion. Incrementality testing — running a holdout group that doesn’t receive CTV impressions — is what separates actual contribution from correlated lift. Vibe’s measurement tools include built-in holdout test configuration. Platforms that show results only from within their own system, without holdout comparison, aren’t giving you a real number.
Not every brand is in the same situation. CTV prospecting works best when you have a suppression list worth using — existing customers at enough scale to meaningfully define your exclusions. It works best when you’ve hit diminishing returns on Meta lookalike expansion. Product category matters too: streaming TV is video, so visually rich categories (apparel, home goods, food, beauty, outdoor, wellness) have a natural creative advantage.
Before adding a new channel, you need to be able to run a proper attribution window — 7 to 30 days — to see the prospecting contribution. Shinesty landed on 7 days after testing 1-day and 30-day windows against Northbeam’s Clicks + Deterministic Views model; that calibration matters before making budget decisions based on early results.
If you’re still in early stages of building paid social infrastructure, the clearer move is building that first. But if you’re scaling paid social and noticing CAC rising without corresponding audience expansion, that’s the signal worth acting on. The full-funnel streaming TV strategy guide covers how to sequence prospecting and retargeting for mid-market brands adding CTV to an existing performance stack.
Streaming TV performs as a real pillar in a performance stack — not a brand experiment — when the results show up in the same Northbeam or Triple Whale view as your Search and Social spend. That’s when the budget conversation becomes straightforward.
Streaming TV is the most direct answer for brands that have built first-party data infrastructure. It reaches households that aren’t in the Meta or Google auction, delivers full-screen video that can’t be skipped, and uses the same targeting data — Klaviyo segments, Shopify customer lists, CRM cohorts — you’ve already built. The measurement question is no longer the blocker it was three years ago: attribution platforms like Northbeam and Triple Whale now measure streaming TV alongside Search and Social in a single view.
The most reliable method is incrementality testing — running a holdout group that doesn’t receive upper-funnel impressions to separate true lift from correlated conversions. Multi-touch attribution, blended CAC, and MER all describe what happened across the funnel, but only a holdout test tells you whether your upper-funnel spend caused it. Platforms like Northbeam use a Clicks + Deterministic Views model that applies consistent logic across channels, making TV comparable to social and search in a single reporting layer.
The audiences don’t overlap as much as the budgets do. Meta excels at in-market audiences and behavioral lookalikes — it gets saturated when the addressable audience on the platform has been reached. Streaming TV reaches households that aren’t engaging with Meta, in a full-screen, sound-on environment where completion rates typically run above 95%. The trade-off: creative needs to work as a 30-second video, not a static image or in-feed format.
The fastest path starts with a suppression-based setup: upload your customer list, build a lookalike from your best-converting cohort, and run a prospecting campaign targeted at net-new households. Most brands can launch in under a week. Attribution integration with Northbeam or Triple Whale takes a few hours to configure. The common mistake is treating it as a set-and-forget brand spend — streaming TV responds to the same creative testing, audience refinement, and attribution discipline as any performance channel.
CPMs on streaming TV from direct publisher deals typically range from $15 to $25 for premium inventory — comparable to or below high-intent paid social CPMs during peak auction periods. Unlike programmatic open exchange buys, direct publisher relationships mean transparent pricing without auction volatility. Campaigns don’t require minimum commitments, which lets teams test before scaling. For brands benchmarking against Meta prospecting CPMs, the unit cost comparison is usually favorable, particularly when factoring in attention quality and completion rates.


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