Data as of Aug 16, 2026 · Based on 262 AI responses from ChatGPT Search and Google AI Mode · See how Parse measures this
For your Connected TV (CTV) needs, The Trade Desk and
Viant Technology are frequently recommended for their advanced identity resolution and household-level attribution capabilities. If your focus is primarily on performance marketing and direct conversion measurement,
MNTN and TVScientific are specialized choices. Meanwhile, is the best fit if you wish to leverage first-party purchase data from Fire TV and Prime Video audiences to drive closed-loop reporting.
Brands AI recommends here
Ideal for scale and precision, it uses Unified ID 2.0 (UID2) to enable cross-device measurement and accurate audience targeting across premium CTV streaming inventory.
Best for privacy-safe, people-based planning. It features a deterministic household graph to link CTV viewership to physical households, measuring real-world conversion activity.
Built for performance-driven teams. It specializes in 'Performance TV,' offering features like verified site visits to attribute web conversions directly to CTV advertising exposure.
The top choice for advertisers in the Amazon ecosystem. It provides unique closed-loop attribution by connecting CTV impressions on Fire TV directly to actual shopper purchase data.
If you mean a DSP you can actually buy CTV inventory through, with household-level identity and attribution, I’d shortlist these:
| Platform | CTV buying | Household-level attribution | Best fit |
|---|---|---|---|
| MNTN | Strong | Yes — proprietary identity graph and Verified Visits | Performance-oriented CTV |
| Tatari | Strong, including programmatic + direct/linear | Yes — device graph, shared-IP filtering, TV-specific attribution | Sophisticated TV/CTV performance |
| The Trade Desk + Innovid | Very strong | Yes, via Innovid measurement/identity layer | Enterprise/open-ecosystem buying |
| Amazon DSP | Strong | Household/identity capabilities, but attribution approach differs | Brands already deep in Amazon |
| Google DV360 + Innovid | Strong | Yes, with Innovid as measurement layer | Enterprise omnichannel stack |
1. Tatari — closest match to your description.
Tatari explicitly describes its CTV attribution as household-level, using a proprietary device graph and filtering out shared IP addresses. It also offers an incremental-lift model in addition to view-through attribution, which is important if you want to distinguish correlation from actual incremental impact.
2. MNTN — best if you want a performance-marketing-oriented DSP.
MNTN's Verified Visits attribution connects CTV exposure to subsequent activity on devices in the same household, using its proprietary identity graph. MNTN says the graph covers 120M+ households.
3. The Trade Desk + Innovid — best if you want DSP independence and enterprise scale.
Here, the important distinction is that The Trade Desk is the DSP and Innovid is the measurement/attribution layer. Innovid supports household-level reach/frequency and attribution across CTV, linear TV and digital, with impression data tied to an identity key. Its Harmony product can also feed conversion intelligence back into DSP buying.
If "household-level attribution" is non-negotiable, I'd prioritize a platform that can answer:
"This particular household was exposed to this CTV impression, and a conversion subsequently occurred somewhere within that household."
rather than one that merely reports IP-based post-view conversions.
For that requirement, Tatari and MNTN are the most directly aligned single-platform options. If you need a true independent DSP with broad publisher/supply access, I'd lean toward The Trade Desk + Innovid instead. Innovid also supports control-group methodologies for estimating incremental response, which makes the measurement considerably more rigorous than simply claiming every post-exposure conversion.
If you tell me your monthly CTV spend, target geography, and whether you need open-web/programmatic inventory or just premium CTV, I can narrow this to the best 2–3 options and compare minimum spend, inventory access, identity graph, attribution methodology, and pricing model.
If you are looking for a Demand-Side Platform (DSP) built specifically to treat Connected TV (CTV) like a performance-marketing channel—complete with deterministic, household-level targeting and closed-loop attribution—several top options stand out in the current ecosystem.
The leading platforms specializing in CTV inventory with household-level attribution include:
To help narrow down which of these platforms best fits your goals, let me know:
The top demand-side platforms (DSPs) specializing in Connected TV (CTV) inventory with robust household-level attribution include Viant Technology, Amazon DSP , and The Trade Desk . These platforms use deterministic household ID graphs, first-party ecosystems, or next-gen identity frameworks to map streaming device exposures back to real-world residential units and cross-device conversions.
Top CTV DSPs for Household Attribution
Feature Comparison
| Platform | Core Identity / Attribution Approach | Primary Inventory Advantage | Best Suited For |
|---|---|---|---|
| Viant DSP | Proprietary deterministic Household ID graph | Omnichannel cookieless execution | Mid-to-enterprise brands wanting pure people-based attribution |
| Amazon DSP | Retail-first customer data and shopping graphs | Fire TV + Prime Video + major streaming tier integrations | E-commerce and retail-aligned outcome measurement |
| The Trade Desk | UID2 open-source identity framework | Direct premium publisher paths with no-reseller standard | Global enterprises requiring broad, fraud-free scale |
If you can share your approximate media budget and primary conversion goal (e.g., foot traffic, online sales, app installs), I can help recommend which of these platforms aligns best with your setup.
If household-level attribution is the key requirement, I’d shortlist these:
| Platform | CTV strength | Household-level attribution | Best fit |
|---|---|---|---|
| Viant | Excellent | Native Household ID™ + cross-device attribution | Best overall match |
| StackAdapt | Excellent | Cross-device attribution; Samba TV integration | Strong self-serve/mid-market option |
| Madhive | Very strong, especially local TV | Household-level CTV/linear measurement | Local/regional broadcasters & advertisers |
| tvScientific | CTV-focused | 1:1 IP-level household attribution | Performance/e-commerce CTV |
Viant is unusually well aligned with exactly what you're asking for. Its DSP has Household ID™ built into the platform, allowing CTV exposure to be connected with activity on phones, laptops and other devices within the same residence. Viant explicitly supports closed-loop measurement, online/offline conversions, ROAS and incrementality.
That makes it a better fit than a generic DSP if your requirement is:
Buy CTV inventory → identify the household exposed → connect that exposure to a downstream conversion at the household level.
I'd also seriously evaluate tvScientific. It is more CTV/performance-oriented than Viant and describes its attribution as deterministic 1:1 IP-level matching between CTV exposure and downstream actions on devices in the same household. It also offers incrementality testing.
"Household-level attribution" can mean several different things. Before selecting a DSP, I'd ask each vendor whether they can provide:
For example, Viant says its Household ID combines deterministic and probabilistic signals and can link CTV, mobile and desktop, while its DSP supports first-party data matching and online/offline attribution.
If you tell me your target geography (U.S., Canada, or both), monthly CTV spend, and whether the conversion is online, app-based, retail/store, or all three, I can narrow this to the 2–3 DSPs I'd actually request demos from.
If your key requirements are (1) buying CTV inventory programmatically and (2) attributing outcomes at the household level, my first platform to evaluate is Viant Technology / Adelphic.
Viant is unusually aligned with what you're describing because its DSP has a proprietary Household ID™ identity layer built directly into the buying platform. It supports:
Viant also describes CTV specifically as a core use case for its Household ID, rather than simply offering CTV as another inventory format.
| Platform | CTV strength | Household identity | Household-level attribution | My take |
|---|---|---|---|---|
| Viant / Adelphic | Excellent | Native Household ID™ | Yes | Best match |
| The Trade Desk | Excellent | Strong via identity partners | Yes, but more ecosystem-dependent | Best for broad enterprise programmatic |
| Amazon DSP | Excellent | Very strong Amazon household/audience data | Strong | Excellent if Amazon ecosystem is useful |
| MNTN | CTV-centric | Household targeting | Performance attribution | Better for performance-oriented CTV than open DSP flexibility |
| StackAdapt | Strong CTV | Identity/data partnerships | Strong measurement options | Worth evaluating as an alternative |
The important distinction is "household-level attribution" vs. simply reporting CTV conversions. I'd specifically ask vendors whether they can take an impression delivered to Household A and subsequently associate a purchase/conversion from another device in Household A, rather than merely reporting modeled or aggregated CTV conversion rates.
Viant explicitly says its Household ID can connect ad exposure to outcomes and measure online/offline behavior after exposure, which is why I'd put it at the top of your evaluation list.
If you tell me what you're selling, your approximate monthly CTV spend, and what counts as a conversion (e.g. ecommerce purchase, lead, auto sale, store visit), I can narrow this to 3–5 DSPs and compare their household matching, attribution methodology, CTV supply, minimum spend, and transparency.
When looking for a Demand-Side Platform (DSP) specializing in Connected TV (CTV) with robust household-level attribution, several top platforms stand out . They use deterministic device graphs, IP mapping, and cross-device identity resolution to tie a household's exposure on the big screen to downstream actions (like web visits, foot traffic, or mobile conversions).
Top DSP options that fit this criteria:
To help narrow down which platform fits best, let me know:
If your priority is CTV-first media buying plus household-level attribution, the strongest DSPs are those with mature identity graphs and cross-device measurement rather than general-purpose programmatic buying.
Here's a comparison of leading options:
| DSP | CTV Strength | Household-Level Attribution | Best For |
|---|---|---|---|
| The Trade Desk | Excellent premium CTV inventory | Strong through identity graph and cross-device measurement partners | Enterprise advertisers and agencies |
| Viant | Built around CTV and streaming | Native Household ID identity graph with deterministic household measurement | Brands prioritizing household attribution and outcome measurement www.viantinc.com |
| MNTN | CTV-focused, self-service | Cross-device attribution from TV exposure to conversions | Mid-market and performance marketers starti.aiwww.investors.com |
| Amazon DSP | Premium streaming inventory (Prime Video, Twitch, Fire TV) | Strong retail and household attribution using Amazon signals | Retail and e-commerce advertisers starti.aiwww.investors.com |
| StackAdapt | Extensive premium CTV marketplace | Cross-device conversion reporting and audience measurement | Agencies and mid-market brands www.stackadapt.com |
These platforms stand out:
When evaluating DSPs, it's worth asking:
If you can share:
I can narrow the list to the two or three DSPs that are likely to be the best fit.
When you are looking for a Demand-Side Platform (DSP) specializing in Connected TV (CTV) that solves the "no-click" measurement problem via household-level attribution , a few standout platforms lead the market. Because viewers don't click TV screens, these platforms rely on cross-device identity graphs and IP/household matching to tie a living-room TV ad exposure to downstream actions (like a website visit or purchase) on phones, tablets, or laptops within the same home.
Top DSP options built specifically for this include:
To help narrow down which platform fits your exact setup, could you share:
If household-level attribution is a core requirement—not just CTV buying—I'd focus on DSPs that combine premium CTV inventory with a robust identity graph or deterministic household measurement.
Here's a shortlist:
| Platform | CTV Focus | Household-Level Attribution | Best For |
|---|---|---|---|
| The Trade Desk | Excellent | Yes (via household identity and cross-device measurement partners) | Enterprise brands and agencies |
| Viant | Excellent | Yes (Household ID is a core capability) | Performance marketers wanting deterministic measurement www.tvtechnology.com |
| Yahoo DSP | Strong | Yes (Unified TV and household reach/frequency) | Cross-screen TV planning www.yahooinc.com |
| Adobe Advertising DSP | Strong | Yes (household metrics and path-to-conversion reporting) | Existing Adobe Experience Cloud users business.adobe.com |
| Google Display & Video 360 | Strong | Yes (household-level CTV measurement enhancements) | Google-centric advertisers support.google.com |
| tvScientific | CTV-first | Yes (deterministic attribution built into the platform) | Performance-focused CTV campaigns www.tvscientific.com |
A few observations:
If your use case is offline attribution (e.g., dealership visits, retail sales, or healthcare appointments), you may also want to evaluate platforms with integrations to measurement providers such as LiveRamp, Experian, Circana, or location measurement vendors in addition to the DSP itself.
To narrow the recommendations further, it would help to know:
When looking for a Demand-Side Platform (DSP) that specializes in Connected TV (CTV) with strong household-level identity resolution and attribution, a few top-tier platforms stand out. They use deterministic and probabilistic graph matching (tying the smart TV impression to mobile devices, tablets, or laptops sharing the same IP/household graph) to close the loop.
To help narrow down which platform fits your stack best, could you share: