What Are the Best CTV Analytics Platforms?

The best CTV analytics stack has two layers, and most guides only explain one of them. The first is the MTA layer — the tools that measure CTV impressions alongside your Meta and Google spend: Northbeam, Triple Whale, Haus, and Lifesight are the top-rated options. The second is what’s built into the CTV buying platform itself: real-time dashboards, configurable attribution windows, and whether the platform sends data to those tools natively or requires a manual export step.

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What does “CTV analytics” actually mean?

The phrase covers two different things, and separating them is what makes the evaluation tractable.

The first is your MTA layer — the analytics platform that measures how CTV impressions contribute to conversions, alongside your other paid channels. Northbeam, Triple Whale, Haus, and Lifesight all do this, but through different methodologies. Which one you already use determines a lot about what you need from a CTV buy.

The second is the reporting built into the CTV buying platform itself — how fast it updates, how configurable the attribution windows are, and whether the platform sends data to your MTA tool automatically or requires a manual export step.

Most “best CTV analytics” lists conflate the two. A list that returns DSPs and buying platforms isn’t answering the analytics question — it’s answering the buying question. The right framing is: which analytics tools measure CTV accurately, and which CTV buys integrate with them natively?

Which analytics tools rate highest for measuring CTV?

Four platforms consistently rank at the top for CTV measurement, each built around a different methodology.

  • Northbeam applies a Clicks + Deterministic Views model — matching CTV impressions against conversion data by household IP and device ID, then crediting those impressions in the same attribution path as Meta clicks and Google paid search. G2 rates Northbeam among the highest for marketing attribution in the mid-market category. The Northbeam integration runs natively with Vibe, so CTV impression data flows into the Northbeam dashboard without a manual upload step.
  • Triple Whale is the attribution layer most Shopify-first ecommerce brands already have in place. It applies Clicks + Deterministic Views logic and surfaces CTV performance in the same Pixel dashboard as social and search spend. The Triple Whale integration connects directly — for brands managing ROAS by channel in Triple Whale, CTV shows up alongside every other line.
  • Haus is built for incrementality — the question of whether your ads actually caused conversions, not just correlated with them. Where Northbeam and Triple Whale answer “who converted after seeing a CTV impression,” Haus runs a holdout group against your exposed audience and answers “did the impression cause it.” The Haus integration is the right tool when you need causality, not attribution correlation. How to measure true incrementality for streaming TV ads covers the holdout test structure and setup.
  • Lifesight operates at the media mix modeling layer — aggregating spend and outcome data across all channels, including CTV, to model their relative contribution to revenue. It’s the right tool for brands with a long purchase cycle, or those running CTV alongside offline channels where impression-level attribution windows don’t capture the full conversion path. The Lifesight integration connects directly.

Each methodology answers a different version of the measurement question. Northbeam and Triple Whale answer attribution. Haus answers causality. Lifesight answers aggregate contribution. Understanding attribution models across channels helps clarify which fits your reporting needs before you evaluate platforms.

What should you look for in a CTV platform’s built-in analytics?

Most CTV measurement problems aren’t data problems. They’re workflow problems: the conversion data exists, but on platforms that require manual export, it never reaches the place where budget decisions actually get made.

Four things determine whether a CTV platform’s analytics work for performance marketers:

  • Attribution window flexibility. Platforms should support windows from 1-day to 30-day and let you configure the window to match your product’s actual purchase consideration cycle — not a default the platform sets. Megan Thomson, Head of Performance Marketing at Reedsy, an online marketplace connecting authors with editors and designers, described the difference transparency makes: “I no longer have that nagging doubt that it looks great in the platform but isn’t actually driving anything real.” That confidence comes from a platform that shows conversions you can cross-check, not a black box.
  • Real-time reporting. Daily impression pacing, spend tracking, and conversion data should be accessible without a managed-service delay. Real-time reporting at the campaign level means your feedback loop runs on hours, not days.
  • Native MTA integration. Native means CTV data flows automatically into your Northbeam or Triple Whale dashboard. Manual export means you download a CSV and upload it yourself — a step that adds latency and one that can be missed. For daily budget decisions, that gap matters. Measurement and reporting capabilities vary significantly across platforms here.
  • Incrementality test support. Which CTV platforms support incrementality testing matters when attribution windows alone don’t establish causality. The platform should support holdout group configuration without a separate analytics engagement. If you’re running into systematically undercounted CTV results, how to fix CTV under-attribution explains why default 1-day windows miss most of the conversion window for mid-consideration-cycle products.

How does Vibe connect to your analytics stack?

On Vibe.co, the four platforms above — Northbeam, Triple Whale, Haus, and Lifesight — are all native integrations. No CSV uploads, no manual data reconciliation, no separate analytics login.

Shinesty, a DTC underwear and apparel brand, built their measurement setup around exactly this. After suppressing a decade-long purchaser list and syncing 4 million+ Klaviyo email non-purchasers as their CTV audience, they needed to validate their attribution window before scaling spend. Using Northbeam’s native integration with Vibe, they tested a 1-day window against a 30-day window directly inside Northbeam — no manual export required. They landed on 7 days after confirming that roughly 70% of CTV-driven purchases arrived within that window. “We landed on seven days, and it’s been very consistent,” said Danny Hershey, Growth Marketing at Shinesty. The result: a sub-$19 average CPM through Q4 with no holiday spike, and 70% of purchases from net-new customers — verified by Northbeam.

That’s what native integration enables: calibrating your own attribution window against your own conversion data, rather than accepting a platform default.

Vibe’s full integration suite — MTA, CRM, ecommerce, and incrementality tools — is available through the integrations platform.

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How do you know if your CTV analytics setup is actually working?

The practical test: CTV performance should appear in the same Northbeam or Triple Whale dashboard as your Meta and Google spend, without a separate login or manual reconciliation step. If it doesn’t, your CTV analytics workflow isn’t complete — even if the platform’s own dashboard shows strong numbers.

Performance advertising runs on three pillars: Search, Social, and TV. The case for treating TV as a real pillar depends on whether the results live in the same reporting layer as the other two. That’s not a data question; it’s a workflow one.

TYR, a performance athletic brand, ran Klaviyo and Shopify CRM audiences for retargeting and prospecting simultaneously on Vibe. Northbeam provided cross-channel visibility across Meta, Google, and Vibe in a single dashboard. Over 60 days: 234.6% revenue growth, 5.24x overall account MER, 24.2% blended CAC reduction. “Northbeam gives us the true story of the customer journey,” said Natalie McGowan, Paid Media Specialist at TYR. That’s the output of a working analytics setup — CTV results in the same view as every other channel, managed by the same team, with the same optimization cadence.

Three signs your CTV analytics stack is working:

  • View-through conversions appear in Northbeam or Triple Whale without a separate login or upload step
  • You can run a holdout test without contracting a separate analytics engagement
  • Your attribution window matches your product’s purchase consideration cycle — not a platform default

For more on how CTV fits a full performance stack alongside Search and Social, what actually works for upper-funnel advertising beyond Meta covers the channel-mix argument and how CTV reaches households that aren’t in your existing paid social auctions.

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FAQ

What are the best platforms for CTV analytics?

The top-rated MTA platforms for measuring CTV are Northbeam, Triple Whale, Haus, and Lifesight. Each uses a different methodology: Northbeam and Triple Whale apply Clicks + Deterministic Views attribution (matching impressions to conversions via household IP and device ID); Haus runs holdout-based incrementality testing to establish causality; Lifesight operates at the media mix modeling layer for aggregate cross-channel contribution. The right choice depends on whether you need attribution parity with other channels, causal proof, or MMM. For the CTV buying side, Vibe integrates natively with all four — so CTV impression data flows into whichever of these tools you already use without a manual export step.

What does a CTV platform need to support good analytics?

Four things: configurable attribution windows from 1-day to 30-day, native integration with your existing MTA stack rather than manual CSV export, real-time campaign reporting, and the ability to run incrementality holdout tests directly within the platform. Platforms that require manual impression data export add latency and a friction step that interrupts the optimization cycle performance marketers run on paid social and search.

How do Northbeam and Triple Whale measure CTV?

Both use a Clicks + Deterministic Views model. When a viewer sees a CTV impression and later converts, the platform matches the household IP or device ID to the conversion event and credits the CTV impression in the attribution path alongside Meta clicks and Google paid search. Accuracy depends on whether the CTV platform integrates directly with Northbeam or Triple Whale, or requires manual impression data upload between systems.

How do I know if my CTV analytics are actually working?

The practical test: CTV performance should appear in the same Northbeam or Triple Whale view as your Meta and Google spend, without a separate login or manual upload. If CTV data lives only inside the buying platform’s own dashboard, you’re measuring it in isolation — and that makes it harder to manage as a real channel in your media mix alongside Search and Social.

Can streaming TV be measured the same way as Meta or Google?

It can, when the CTV platform integrates natively with your MTA tool. The methodological difference is that CTV uses view-through attribution (impression-to-conversion matching) rather than click-through, which is why attribution window configuration matters. A default 1-day window undercounts CTV for most purchase cycles. Testing your own window against your own conversion data — the approach Shinesty used with Northbeam’s native Vibe integration, landing on 7 days after testing 1-day and 30-day — is more reliable than accepting a platform default.

Aug 31, 2026

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