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Sales-ready competitive cheat sheets for Moloco CTV — built from the same intel stream feeding the CI Dossier, CTV Signal Engine, and Roadmap Engine.
Last updated: April 06, 2026 · 4 cards · Moloco-First positioning

The Trade Desk

thetradedesk.com
"The independent DSP for the open internet"
The Trade Desk is the largest independent DSP and a dominant force in programmatic CTV. In 2026 TTD is layering an AI-native narrative on top of its Ventura CTV OS and Kokai platform, including reported talks with OpenAI to power ChatGPT ads. Strong agency footprint via the Premier Partner Program, but increasingly perceived as an ecosystem-orchestrator rather than a performance-outcome platform.

Elevator Pitch (Moloco)

For growth marketers tired of defending CTV spend with reach curves, Moloco turns every impression into a measurable business outcome — so you can finally walk into the QBR with ROAS, not impressions.

Value Proposition vs. The Trade Desk

Functional: per-impression operational ML that bids against your actual outcome, not media KPIs. Monetary: materially lower CPA at matched budget vs. TTD's reach-optimized buying, with no Identity Alliance data fees layered on top. Psychological: the confidence of owning your own model trained on your first-party signals — not renting a shared graph every TTD advertiser also has access to.

Features → Benefits

Outcome-based bidding powered by operational ML
Advertisers see CTV treated like a performance channel — measurable ROAS, not just reach curves
Direct access to biddable CTV supply across FAST, AVOD, and live
Scale without being locked to a single DSP agency certification track or ecosystem fee
First-party signal ingestion + model training per advertiser
Campaigns get smarter the more you spend — no dependency on third-party identity alliances
Self-serve activation with performance-marketer UX
Growth teams launch CTV campaigns in hours, not after weeks of agency onboarding

Target Buyer

Meet the Head of Growth at a scaling consumer brand. She came up running mobile performance, is fluent in ROAS and CAC, and hates that her agency-run TTD campaigns force her to defend CTV to her CFO with reach curves instead of revenue. She's the economic buyer and the blocker-remover — if she believes the outcome model, her team moves this week.

Customer Pain Points

  • CTV spend on TTD is measured against impressions and reach, not downstream ROAS
  • Identity Alliance payout restructures have created uncertainty around data quality and cost
  • Premier Partner Program creates a tiered support system — non-certified agencies feel deprioritized
  • TTD's AI story (OpenAI talks) is directional, not in-product today — leaves a gap for a true ML-first platform
  • Agency-mediated buying slows iteration for performance marketers used to self-serve platforms

Also in the Room

  • Head of Growth / Performance Marketing
  • Director of Paid Media at a DTC or app-first brand
  • CTV / Video Lead inside a performance team
  • CMO at a scaling consumer brand evaluating CTV as a growth channel

Qualifying Questions

  • How are you currently measuring the incremental revenue your CTV spend on TTD is driving — not reach, but revenue?
  • When you launch a new CTV campaign on TTD, how long does it take from brief to first optimized impression?
  • How much of your TTD CTV budget is flowing through Identity Alliance data segments, and how did the recent incrementality payout shift affect your costs?
  • If OpenAI brings its ad stack in-house, what is your contingency for the AI-native inventory TTD is positioning around today?
  • Are you managing TTD directly or through a Premier Partner agency — and how quickly can you test a new optimization hypothesis?

Competitor Strengths & Weaknesses

Where They Win

  • Dominant DSP scale and the deepest agency relationships in programmatic
  • Ventura CTV OS and Kokai give a strong orchestration story across publishers
  • Premier Partner Program drives ecosystem lock-in through certified agency training
  • Brand-safe, credentialed, and the default 'safe' choice for large holding-company buyers

Where They Fall Short

  • Optimizes to media KPIs (reach, frequency, viewability), not downstream business outcomes
  • Identity Alliance payout overhaul (volume → incrementality) has shaken data-partner confidence
  • AI-native narrative is dependent on a reported OpenAI deal — OpenAI has publicly said it will build its own ad stack long term
  • Agency-mediated model slows time-to-value for performance marketers
  • ~39 roles cut in Dec 2025 suggests margin pressure as the ecosystem economics tighten

Kill Points — How to Win

  • Frame the conversation around downstream ROAS, not reach — TTD cannot answer 'what did this campaign sell' without a third-party measurement vendor
  • Show an outcome curve: Moloco models improving impression-by-impression on a single advertiser's first-party signal, vs. TTD's reliance on Identity Alliance data
  • Highlight time-to-first-optimized-impression: Moloco self-serve vs. TTD's agency-certified onboarding
  • Use the OpenAI contingency question to expose that TTD's AI story is partnership-dependent, not product-native

Objection Handling

Objection
“We already spend on TTD and our agency manages it — switching is too much lift.”
Response
You don't have to switch — you can incremental-test Moloco on 10-15% of your CTV budget for 30 days and compare downstream ROAS head-to-head. Most performance teams see the outcome delta inside two weeks.
Objection
“TTD has better scale and premium inventory access.”
Response
Moloco bids into the same biddable CTV supply across FAST, AVOD, and live streaming. The question isn't who can buy the impression — it's who can decide whether that specific impression is worth buying for your outcome. That's what operational ML does.
Objection
“TTD's Identity Alliance gives us better audience data.”
Response
Identity Alliance is a shared pool that every TTD advertiser can access — which means no competitive advantage. Moloco trains a model on your first-party signals, so the advantage compounds for you specifically, not for the ecosystem.
Objection
“TTD is partnering with OpenAI — that's the future of advertising.”
Response
OpenAI has publicly stated it plans to build its own in-house ad stack. TTD is likely a bridge partner, not a permanent one. Meanwhile, Moloco's ML is already in-product and delivering outcomes today — not dependent on a future deal.

Proof Points

★ Leading mobile-first brands that scaled from app installs to full-funnel CTV with Moloco★ DTC advertisers who moved CTV budget from agency-managed DSPs into self-serve performance buying▲ Outcome-based bidding typically delivers materially lower CPA vs. reach-optimized DSP buying on matched budgets▲ Self-serve time-to-launch measured in hours vs. weeks of agency onboarding

MNTN

mountain.com
"Performance TV for DTC brands"
MNTN popularized the 'Performance TV' category and built a self-serve CTV platform historically aimed at SMB and DTC brands. In 2026 MNTN is pivoting toward enterprise: a Magnite partnership unlocks live streaming supply, a new CRO from TikTok and a Head of Premium Content from NBCUniversal signal an upmarket move. Q4 2025 revenue grew 36% YoY to $87.1M with 2026 guidance of $345M-$355M.

Elevator Pitch (Moloco)

For performance marketers who've outgrown template-driven 'Performance TV,' Moloco gives you a CTV model that gets smarter with every dollar you spend — the difference between campaigns that plateau and campaigns that compound.

Value Proposition vs. MNTN

Functional: per-advertiser operational ML trained on your signals vs. MNTN's shared template optimization. Monetary: compounding performance gains as spend scales, with no ceiling on sophistication and no reliance on free AI creative to paper over the gap. Psychological: the pride of buying a platform built for performance marketers at scale, not for the 97% of MNTN's base that are first-time TV advertisers.

Features → Benefits

Operational ML per-advertiser model
Outperforms template-based bidding as spend scales — no ceiling on sophistication
Biddable CTV supply including FAST, AVOD, and live
Access to the same premium inventory MNTN is now chasing via Magnite, without the platform lock-in
Bring-your-own creative plus full first-party signal integration
Creative is yours, data is yours, model is yours — no reliance on AI-generated video templates
Growth-marketer UX with enterprise-grade measurement
Solves for both SMB onboarding speed and enterprise reporting rigor

Target Buyer

Meet the VP of Paid Media at a fast-growing DTC brand. He runs a sophisticated performance stack across Meta, Google, and mobile, and is allergic to template-driven optimization and AI-generated creative that doesn't clear his brand bar. He's the decision-maker on channel expansion and feels personal ownership over every dollar of ROAS — he'll champion the switch the moment the outcome delta is real.

Customer Pain Points

  • Outgrowing MNTN's DTC / SMB template-driven workflow as budgets scale into enterprise territory
  • QuickFrame AI-generated creative feels risky for premium live inventory
  • 97% first-time-TV-advertiser stat signals a buyer base that isn't performance-native
  • Uncertainty about whether MNTN's roadmap now serves SMB customers or the new enterprise push
  • Limited transparency into bidding logic — hard to answer 'why did my campaign spend where it spent?'

Also in the Room

  • Head of Growth / Performance Marketing at a DTC brand
  • VP of Paid Media at a scaling consumer brand
  • Performance Marketing Lead who already runs mobile and social at scale
  • CMO evaluating CTV as a measurable growth channel, not an awareness line item

Qualifying Questions

  • As your CTV budget scales, how confident are you that MNTN's optimization logic is improving with your spend vs. running against a shared template?
  • Are you using QuickFrame AI for creative — and does AI-generated video meet your brand bar, especially for live sports placements via Magnite?
  • MNTN just hired a CRO from TikTok and a Premium Content head from NBCUniversal. Has your account team told you how the product roadmap will continue to serve your specific scale?
  • How are you measuring incremental revenue from your MNTN spend — is it platform-reported attribution or a third-party incrementality study?
  • If you needed to test a new bidding strategy tomorrow, how much of that decision is in your hands vs. MNTN's platform defaults?

Competitor Strengths & Weaknesses

Where They Win

  • Owns the 'Performance TV' category positioning and brand recognition
  • Strong self-serve UX that made CTV accessible to first-time TV advertisers
  • Magnite partnership unlocks live streaming, home screen placements, and pause ads
  • QuickFrame AI removes the creative cost barrier for SMB advertisers
  • Strong growth (Q4 36% YoY, $345-355M 2026 guidance) — momentum in the category

Where They Fall Short

  • Template-driven optimization — no per-advertiser ML model that compounds with spend
  • 97% first-time TV advertiser base means a buyer mix skewed toward less sophisticated performance marketers
  • Enterprise pivot (CRO from TikTok, Premium Content hire) creates uncertainty for the SMB installed base
  • QuickFrame AI creative may not clear the brand bar for premium/live inventory
  • Performance claims are largely platform-reported, not incrementality-validated
  • Narrower supply footprint vs. an omnichannel ML-driven performance DSP

Kill Points — How to Win

  • Position Moloco as 'what you move to when you outgrow MNTN' — no category fight, just a scale argument
  • Pit per-advertiser ML vs. template optimization: show how Moloco's model improves with spend while MNTN's optimization logic is shared across all advertisers
  • Use the enterprise-pivot question to expose SMB customers' uncertainty about their roadmap priority
  • Challenge platform-reported attribution with an incrementality-based measurement story
  • Frame QuickFrame AI as a creative cost-saver for SMB — then ask whether AI-generated video belongs on live sports or premium CTV inventory

Objection Handling

Objection
“MNTN is easier to use and we're already live on it.”
Response
Easy on-ramp is exactly MNTN's play — and it works well for first-time TV advertisers. The question is whether 'easy' is still the right word when your budget is 5x what it was last year. Moloco's UX is built for growth marketers at scale, and onboarding is days, not weeks.
Objection
“MNTN gives us free creative via QuickFrame AI.”
Response
Free AI-generated video is a great deal for an SMB kickstarting CTV. For a brand buying premium live sports inventory via Magnite, the question becomes whether AI creative is credible enough for the placements you're paying for. Moloco keeps your creative workflow intact so you control the brand bar.
Objection
“MNTN is growing 36% YoY — they're clearly doing something right.”
Response
Market-level growth says the CTV category is expanding, not that MNTN is the best platform for every advertiser in it. The real test is whether your spend on MNTN is generating incremental revenue vs. what the same budget would do on an ML-first platform like Moloco. We can run that test.
Objection
“MNTN just added live streaming via Magnite — that's a big deal for us.”
Response
It is — and Moloco already bids into biddable CTV supply including live streaming. The differentiator isn't which platform can access the impression, it's which platform can decide whether that impression is worth buying for your specific outcome.

Proof Points

★ Growth-stage DTC brands that scaled from mobile-first performance into full-funnel CTV with Moloco★ Performance marketers who moved CTV budget from template-optimized platforms onto per-advertiser ML▲ Per-advertiser model training typically delivers compounding performance gains as spend increases▲ Outcome-based bidding validated via third-party incrementality, not platform-reported attribution

StackAdapt

stackadapt.com
"Unified adtech + martech platform powered by AI"
StackAdapt is a Toronto-based self-serve DSP that has moved upmarket from multichannel programmatic into a unified adtech + martech story. Recently named a Forrester Wave Strong Performer (Q1 2026), ranked #1 in G2 Cross-Channel Advertising (Spring 2026), and backed by $500M+ in growth capital. 2026 push is squarely on B2B/ABM via Bombora, Lead Forensics, and Leadspace integrations — positioning StackAdapt as a B2B programmatic consolidator rather than a CTV performance platform.

Elevator Pitch (Moloco)

For growth teams who need CTV to behave like performance — not line four of a multichannel report — Moloco is the specialist CTV engine that beats generalist DSPs on the only KPI that matters: your business outcome.

Value Proposition vs. StackAdapt

Functional: CTV-native per-advertiser ML vs. StackAdapt's generalist multichannel optimizer averaged across display, native, audio, and CTV. Monetary: better cost-per-outcome on CTV alone, more than offsetting the 'consolidation savings' story StackAdapt sells to finance. Psychological: stop settling for well-rounded — own best-in-class on the channel that's growing fastest in your mix, and stop worrying about a VC-funded roadmap drifting toward B2B.

Features → Benefits

CTV-specialized operational ML
Impression-level bidding against your outcome — not a generalist model repurposed across channels
Per-advertiser model training on first-party signals
Performance compounds with your spend, not across a shared multichannel buyer base
Direct biddable CTV supply (FAST, AVOD, live)
No dependency on third-party B2B data vendors to justify CTV investment
Performance-marketer UX with outcome reporting
Answers 'what did my CTV spend sell' — not 'how many channels did I activate'

Target Buyer

Meet the Director of Paid Media at a growth-stage consumer brand. She consolidated display, native, and CTV onto StackAdapt last year for the operational wins, but her CTV CPA has plateaued and her CMO is asking harder questions every QBR. She's the one building the 2026 channel plan and is quietly shopping for a specialist to layer in — influence the plan and you win the budget.

Customer Pain Points

  • Using StackAdapt for consolidation means CTV is one of many channels — not the focus
  • Multichannel optimization averages across display, native, audio, CTV — diluting CTV-specific performance
  • B2B / ABM ecosystem expansion (Bombora, Lead Forensics, Leadspace) signals where StackAdapt's roadmap attention is going — and it isn't CTV performance
  • Self-serve UX is strong, but ML sophistication is generalist, not CTV-native
  • Venture-backed pricing aggression is great today — but what happens at the next funding round?

Also in the Room

  • Head of Growth / Performance Marketing at a DTC or app-first brand
  • CTV / Video Lead inside a performance team
  • Director of Paid Media scaling CTV beyond experimental budget
  • CMO at a consumer brand who needs CTV to behave like performance, not brand

Qualifying Questions

  • How much of your StackAdapt spend is in CTV specifically, and how are you measuring CTV outcomes independently from the rest of your multichannel mix?
  • When StackAdapt's optimization model bids on a CTV impression, is it trained on your CTV performance signals or on a shared cross-channel dataset?
  • StackAdapt's 2026 roadmap is heavily B2B/ABM. If you're a consumer brand, how confident are you that CTV performance will stay a priority for them?
  • What is your actual CPA trend on CTV over the last two quarters — and can you attribute that to StackAdapt's optimization or to your own targeting logic?
  • If StackAdapt raised CPMs tomorrow to meet investor margin expectations, what's your contingency?

Competitor Strengths & Weaknesses

Where They Win

  • Forrester Wave Strong Performer + G2 #1 Cross-Channel Advertising — strong analyst validation
  • Breadth of channels (display, native, audio, CTV, email, ABM) appeals to consolidation buyers
  • Forrester-recognized pricing transparency and flexibility — rare among enterprise DSPs
  • $500M+ growth capital supports aggressive feature expansion and competitive pricing
  • Strong self-serve UX that lowers the cost of activation for mid-market teams

Where They Fall Short

  • CTV is one of many channels, not the core product focus — generalist optimization, not specialist
  • ABM push (Bombora, Lead Forensics, Leadspace) is all third-party data integrations, not first-party deterministic
  • No per-advertiser ML model that compounds with spend on a single channel
  • VC-funded pricing aggression is inherently unsustainable — margin pressure is a matter of when, not if
  • Performance claims are generalist — no CTV-specific outcome proof points rival a specialist platform
  • No public market accountability (still private) — limited transparency for enterprise procurement

Kill Points — How to Win

  • Reframe the choice as 'breadth vs. depth' — StackAdapt is a consolidation story, Moloco is a CTV performance story
  • Show the outcome delta: CTV-native per-advertiser ML vs. a multichannel optimization model averaged across channels
  • Use the B2B/ABM roadmap question to expose that StackAdapt's attention is moving away from consumer CTV performance
  • Challenge 'pricing transparency' with a CPA comparison — transparent pricing is meaningless if outcomes aren't competitive
  • Highlight the VC-funding risk for enterprise procurement teams doing vendor stability reviews

Objection Handling

Objection
“StackAdapt lets us consolidate display, native, audio, and CTV in one platform — that's a huge win.”
Response
Consolidation is a finance story, not a performance story. The question is whether your CTV CPA improves more on a specialist platform than your combined savings from consolidation. Most performance teams find the CTV outcome delta more than pays for running two platforms.
Objection
“StackAdapt is a Forrester Strong Performer — that's serious validation.”
Response
Forrester evaluated StackAdapt against other multichannel DSPs on breadth criteria. That doesn't tell you whether it's the best CTV performance platform — it tells you it's a well-rounded generalist. For a growth team, well-rounded isn't the same as best-in-class.
Objection
“StackAdapt has strong pricing transparency and flexibility.”
Response
Pricing transparency is great, and we support it. But transparent pricing on a generalist platform still costs more per conversion than a higher-ROAS platform tuned to your specific outcome. Let's compare effective cost-per-outcome, not sticker CPMs.
Objection
“StackAdapt just added Bombora, Lead Forensics, and Leadspace for ABM targeting.”
Response
Those are all third-party data integrations — shared with every StackAdapt advertiser. Moloco trains a model on your first-party signals, so the advantage is yours alone and compounds with your spend.

Proof Points

★ Performance teams who migrated CTV budget off generalist DSPs onto Moloco's per-advertiser ML★ Growth-stage brands who built CTV as a ROAS-accountable channel alongside their mobile performance stack▲ CTV-specialist bidding typically outperforms generalist multichannel models on matched budgets▲ Per-advertiser model training delivers compounding gains that shared optimization cannot match

Amazon DSP

advertising.amazon.com
"CTV built on shopper data and a closed-loop purchase graph"
Amazon DSP is the most aggressive CTV player of 2026. NewFronts 2026 headline: a Samsung partnership that makes Samsung TV Plus shoppable via the TV remote (launch July 2026) — the first device-level ad-to-purchase bridge in CTV. Paired with Prime Video, Tubi Priority Access (85% audience match), Comcast local supply, iHeartMedia/Spotify audio, and an authenticated graph claiming 42% more unique reach and 3x ROAS. Managed-service minimums ~$35K-50K. Amazon is positioning DSP as the default buying path for a growing share of CTV supply.

Elevator Pitch (Moloco)

For brands who refuse to hand their CTV campaign signals to their biggest retail competitor, Moloco is the independent performance layer that optimizes to your revenue — not Amazon's basket.

Value Proposition vs. Amazon DSP

Functional: independent operational ML across the open biddable CTV market (FAST, AVOD, live) with no walled-garden dependency. Monetary: self-serve activation in hours with no $35-50K managed-service minimums, and no signal leakage that subsidizes a competitor's shopper graph. Psychological: the peace of mind of knowing your first-party data is training your model — not a retailer-competitor's closed-loop purchase graph that you can never audit.

Features → Benefits

Independent DSP, no retailer competition
Your first-party signals train a model you own — not a graph shared with a direct retail competitor
Open biddable CTV supply including Samsung, FAST, AVOD, live
No dependency on walled-garden inventory that could be repriced or restricted at Amazon's discretion
Per-advertiser operational ML
Performance compounds with your spend, not with Amazon's expanding shopper graph
Self-serve at performance-marketer pace
Launch in hours, not the managed-service onboarding and $35-50K minimums Amazon DSP requires

Target Buyer

Meet the CMO at a DTC or non-Amazon-native consumer brand. She sees Amazon as both a channel and a threat, loses sleep over how much first-party signal she's feeding a retailer-competitor every time a campaign runs, and wants a CTV partner she can genuinely trust with the keys. She sets channel strategy and has the authority to mandate a multi-DSP approach — she just needs the independent alternative that actually performs.

Customer Pain Points

  • Uncomfortable giving campaign signals and audience data to Amazon while also selling through Amazon
  • Managed-service minimums ($35-50K) price out growth-stage performance teams
  • Amazon's performance claims (42% reach, 3x ROAS) are self-measured — hard to audit independently
  • Concentration risk: Amazon controls a growing share of CTV supply (Tubi, Prime, Samsung, Freevee, Comcast SMB)
  • Shoppable formats and 'Add to Cart via remote' only work if the purchase lands on Amazon — no benefit if you want the customer on your own store

Also in the Room

  • Head of Growth at a consumer brand that also sells on Amazon
  • CMO at a DTC brand worried about data leakage to a retailer-competitor
  • Director of Paid Media at a retailer or marketplace that directly competes with Amazon
  • Performance Marketing Lead priced out of Amazon DSP's managed-service minimums

Qualifying Questions

  • Do you sell direct-to-consumer on your own site, or primarily through Amazon? How does your CTV KPI align with where the revenue actually lands?
  • How do you independently verify Amazon DSP's 42% reach and 3x ROAS claims today — is it Amazon-reported or third-party measured?
  • The Samsung shoppable integration drives purchases to Amazon storefronts. If you're not optimizing for Amazon revenue, does that feature create value or just give Amazon more data?
  • What is your contingency if Amazon reprices or restricts access to any of the supply in its walled garden — Prime Video, Tubi, Samsung, Freevee?
  • Are you comfortable with the level of campaign signal Amazon DSP ingests, given that Amazon is also your largest retail competitor?

Competitor Strengths & Weaknesses

Where They Win

  • Unmatched first-party purchase data across Amazon shoppers, Prime Video, Tubi, Freevee
  • Samsung NewFronts 2026 partnership — first device-level shoppable CTV experience in market
  • Authenticated graph performance claims: 42% more unique reach, 3x ROAS, 27% less frequency waste
  • Tubi Priority Access (85% audience match) and Comcast SMB partnership expand supply footprint
  • Brand+ and Performance+ now global; iHeart + Spotify programmatic audio; Upfront 2026 at Beacon Theatre signals C-suite commitment

Where They Fall Short

  • Walled-garden dependency — campaign signals and audience data flow to a direct retail competitor for most brands
  • Managed-service minimums ($35-50K) exclude most growth-stage performance teams
  • All performance metrics are Amazon-reported — no independent third-party verification at claim level
  • Shoppable CTV formats only create value if the transaction lands on an Amazon storefront
  • Concentration risk for the ecosystem — publishers lose leverage as one DSP controls more supply
  • Supply/inventory access is Amazon's to reprice or restrict at any time

Kill Points — How to Win

  • For any brand that is not Amazon-native: frame Amazon DSP as a retailer-competitor DSP — 'Are you comfortable with that?'
  • Use the shoppable-to-Amazon-storefront question to expose that the Samsung integration only benefits Amazon revenue, not your direct revenue
  • Challenge the 42% reach and 3x ROAS claims with a third-party verification ask — Amazon rarely provides clean audit paths
  • Price out the $35-50K minimum vs. Moloco's self-serve model — the real TCO for a growth-stage team is very different
  • Use concentration risk to support a multi-DSP strategy — growth teams should hedge against any single walled garden

Objection Handling

Objection
“Amazon DSP has shopper data nobody else has — we can't afford to miss that.”
Response
You're right that Amazon's shopper graph is unique. The question is whether it's worth the data you give up in exchange. Most non-Amazon-native brands we talk to run Amazon DSP as one of several DSPs — they don't bet their full CTV budget on a retailer-competitor's platform. Moloco is the independent performance layer in that mix.
Objection
“Amazon is claiming 42% more unique reach and 3x ROAS — those are huge numbers.”
Response
Those are self-reported, measured by Amazon on Amazon's graph. There's no independent auditor publishing that result. We'd suggest running a third-party incrementality study to see what the real lift is — and comparing it to an ML-optimized CTV platform head-to-head.
Objection
“The Samsung 'Add to Cart via remote' integration is a game-changer.”
Response
It is — for Amazon. The shopping basket lands in an Amazon storefront. If your goal is to drive sales on your own site, that format doesn't move the needle for you. If your goal is to drive Amazon purchases, it's a great fit — just know which KPI you're actually buying.
Objection
“Amazon's minimums are fine for us — we're big enough.”
Response
Great — scale isn't your constraint. The more important question is how much of your CTV spend should be inside a retailer-competitor's walled garden vs. on independent biddable supply. Most large performance teams run both, and use Moloco as the independent optimization layer.

Proof Points

★ DTC brands that maintained independent CTV performance measurement by running Moloco alongside Amazon DSP★ Non-Amazon retailers and marketplaces that built CTV growth without feeding signal into a retailer-competitor▲ Self-serve activation in hours vs. managed-service onboarding and $35-50K minimums▲ Independent per-advertiser outcome measurement, not walled-garden self-reporting