Learn why performance marketers are leaving MNTN for tvScientific: the transparent, AI-optimized CTV platform built for guaranteed outcomes.
Performance TV has evolved, and marketers are moving on from MNTN
MNTN made a name for itself by bringing performance marketing to Connected TV. For a while, that was enough. Marketers finally had a way to buy TV ads with a performance mindset, and the industry took notice.
But here's the thing: as marketers have gotten sharper, their expectations have changed too. Today's growth-focused advertisers aren't looking for just exposure. They want proof of what really matters: ROI, incrementality, attribution.
They need to know that every dollar they put into TV is actually driving results. They want to see exactly how their campaigns are performing. They want automation that learns and improves, not just systems that pace out budgets on autopilot.
That's exactly why more and more performance marketers are making the switch from MNTN to tvScientific, the first Performance TV platform actually built around guaranteed outcomes, AI-powered optimization, and real transparency.
Why marketers are looking for an MNTN alternative
Many advertisers find themselves asking the same questions: Where is my money actually going? What's really driving these conversions? Why can't I see the full picture?
Here's what's pushing people to look elsewhere:
- Limited transparency. MNTN gives you surface-level reporting. No log-level data, no visibility into campaign decisions, no independent verification.
- Impression-based billing. You only have the option to pay for ad views, not conversions. That creates a disconnect between spend and results.
- Rules-based "automation." MNTN's optimization follows static rules for pacing and rotation. It doesn't learn or adapt based on what's working.
- Support that fades. Once campaigns launch, strategic support often disappears.
Performance marketers used to channels like search and social expect their tools to optimize toward real results and prove revenue impact. They won't settle for vague claims or inflated metrics.
That's why they're switching to tvScientific, a platform that works like the performance channels they already trust: measurable, adaptive, and transparent.
The problem with MNTN's version of "Performance TV"
Under the hood, MNTN's "automation" isn't true AI. It's rules-based pacing focused on spending your budget, not driving outcomes. It rotates ads evenly instead of learning which placements, shows, or audiences actually convert. That helps you hit spend targets, but not performance goals.
The attribution model falls short too. MNTN's "Verified Visits™" only tracks website visits. It misses lift, halo effect, and multi-touch journeys. That makes it hard to connect TV investment to actual revenue.
And without transparency, you're taking the platform's word for it. MNTN's black-box reporting hides critical data. There's no log-level visibility, no way to validate performance independently. For brands focused on measurable growth, that's a dealbreaker.
How tvScientific redefines Performance TV with AI optimization
tvScientific was built to fix what's broken in Performance TV, starting with how outcomes are measured, optimized, and billed.
1. Guaranteed CPA billing
With tvScientific, you have the option to pay on a true cost-per-action (CPA) basis. With tvScientific’s Guaranteed Outcomes, you only pay for verified conversions. Whether you're optimizing for app installs, purchases, impressions, or leads, every dollar ties directly to results.
It's the same principle that drives modern performance marketing, now finally working for TV.
2. Patented AI optimization that actually learns
MNTN automates pacing. tvScientific automates learning.
The platform's patented AI engine constantly analyzes thousands of campaign signals: creative performance, audience segments, geo data, frequency, show-level placements. Then it autonomously shifts spend to drive better outcomes.
This is real machine learning, not rules-based automation. It adapts in real time, finding which combinations of creative and audience deliver the highest ROI, then scales them automatically.
If you're used to algorithmic optimization in Google Ads or Meta, tvScientific brings that same intelligence to TV. It makes the medium as accountable and efficient as any digital channel.
3. Full-funnel attribution and incrementality measurement
tvScientific gives you visibility across your entire funnel.
The platform includes always-on incrementality testing, spike and geo lift analysis, and log-level data showing every bid placed, impression won, and conversion tied back to spend.
Unlike MNTN's single-point model, tvScientific gives you a complete picture of TV's true impact: how it drives discovery, lifts conversions across other channels, and grows revenue.
And because the data is transparent, you can connect it to your analytics stack, mobile measurement partners, or affiliate systems to verify performance independently.
4. Transparency and flexibility on your terms
At tvScientific, you get whitebox visibility into how AI makes optimization decisions, plus flexibility to manage campaigns however you want. Run fully self-serve, let AI do the heavy lifting, or work closely with the tvScientific team.
That flexibility makes tvScientific perfect for performance-focused teams who want both autonomy and accountability.
The bottom line: It's time for true Performance TV
MNTN made Connected TV accessible. tvScientific makes Performance TV accountable.
Performance marketers don't have to choose between scale and transparency, or between automation and control. With Guaranteed Outcomes, patented AI optimization, and verifiable attribution, tvScientific turns connected TV into a channel that works like search: measurable, adaptive, and focused on ROI.
If you're still buying TV on views-only, it's time to upgrade to outcomes.
See how tvScientific guarantees performance, powered by AI built for marketers who demand proof, not promises.
FAQ: MNTN vs. tvScientific for performance marketers
1. What makes tvScientific different from MNTN?
MNTN focuses on impressions and basic reporting. tvScientific is built for verified performance, with CPA-based billing, patented AI optimization, and log-level transparency that ties your spend to measurable outcomes.
2. How does CPA-based billing work for TV advertising?
CPA billing means you only pay when a conversion happens, whether that's a purchase, install, or signup. tvScientific aligns your spend directly with performance results, guaranteeing return on investment.
3. How does tvScientific's AI differ from MNTN's automation?
MNTN uses rules-based pacing to spread budget evenly. tvScientific's AI actually learns, analyzing thousands of campaign variables to find what drives conversions and automatically shifting spend to the best-performing combinations.
4. Can I verify results independently with tvScientific?
Yes. tvScientific provides log-level data showing every bid, impression, and conversion. You can integrate this into your existing analytics platforms or mobile measurement partners to validate performance on your own.
5. Do I need a large budget to start with tvScientific?
No. While MNTN often requires high minimum spends, tvScientific offers flexible entry points that scale with your goals. The platform's AI and CPA-based model make it efficient at any scale.
See which CTV platform is right for you
Your first step into CTV shouldn’t feel like a waiting game. The faster you launch, the faster you learn, and the faster you grow.
Download the Evaluation Guide to find out the best platform for you
What’s the best way to guarantee your outcomes?
tvScientific’s Guaranteed Outcomes (GO) Program makes it simple to get started with CTV by letting you pay only when you hit the results you choose: whether that’s installs, purchases, clicks, or site visits. No guessing, no wasted spend, just performance that’s tied directly to your business goals.
