UserTesting shows you what people say about your ad. Videoquant predicts which ad wins — before you spend a dollar.
Unlimited predictions and scene-level diagnostics — in under 20 seconds, starting at $6K/mo.
Request a Proof of ConceptUserTesting answers: "What do people say about this ad when they know they're being recorded?"
Videoquant answers: "Which ad wins, why, and what does the target audience actually think?"
UserTesting lets you watch people narrate their reactions to your creative. That feels rich — but it's still opinions. People in a research environment, knowing they're being recorded, explaining what they think they think. It's stated preference dressed up as qualitative depth. Brands like Microsoft, Canva, Grammarly, and HelloFresh use UserTesting for this kind of feedback.
Videoquant predicts which ad wins when content competes in the real world — trained on 18 trillion actual outcomes, not stated opinions. And we go further: we build AI models of your target audience you can ask questions to — why one concept resonates more, what's driving the reaction, how messaging changes land. It's the "why" without the opinion bias, at the speed and scale of AI.
We proved with Fortune 500 & Super Bowl advertisers that this beats all other approaches to predicting real-world outcomes, and were awarded a patent on it.
UserTesting gives you 5–50 video recordings of recruited panelists narrating their reactions to your creative. It feels like depth — but it's people performing in a research setting. What someone says on camera about an ad is not the same as how they'd actually respond to it in the wild.
Videoquant predicts which ad wins, provides diagnostics on what's working and what isn't, and lets you get scene, utterance, and copy-level diagnostics from — trained on real behavioral data from 200M+ adults. Ask why one concept resonates more than another. Explore messaging angles. Pressure-test a CTA. All in under 20 seconds.
UserTesting gives you hours of video recordings to watch and synthesize. That's hours of opinions to sift through — and research consistently shows people can't accurately predict their own responses to advertising. Videoquant lets you score, diagnose, and explore audience thinking instantly, based on what actually happened in market.
UserTesting requires annual subscriptions starting at $15,000 for basic plans, scaling to $49,000+ for enterprise. Videoquant starts at $6K/mo for unlimited testing — every concept, brief, and cut. No seat licenses, no procurement process, no volume caps.
UserTesting recruits 5–100 panelists per test. Videoquant builds LLMs that learn how your specific target audience behaves — sports bettors, luxury shoppers, competitor viewers — trained on real behavioral data from 200M+ adults. Custom audiences as narrow as your specific market — trained on what people actually do, not what they say on camera.
Videoquant breaks down predicted performance at the scene, utterance, and copy level — so you know which specific elements are driving or hurting results. Then it identifies alternative copy and concepts with higher predicted performance. It's the diagnostic depth that teams think they're getting from UserTesting — except ours is informed by what 200M+ people actually did, not what 50 recruited panelists said on camera.
UserTesting's core promise is qualitative depth — real people explaining why they react. But a person sitting in a research panel, knowing they're being recorded, narrating their thoughts about an ad, is not behaving naturally. They're performing. Research consistently shows people can't accurately predict their own responses to advertising. UserTesting gives you confident-sounding opinions. Videoquant gives you predictions trained on what actually happened in market.
People are notoriously bad at predicting their own behavior. UserTesting captures what people say they'll do. Videoquant is trained on what 200M+ people actually did when presented with competing content in the real world.
Predictions validated across TV, paid social, app store, and offer testing by publicly traded brands spending billions on marketing.
All phases: concept to finished cut, across TV, social, app store, OOH, and more.
For ad testing, yes. UserTesting's qualitative feedback is stated preference — people narrating opinions in a research setting, on camera, knowing they're being observed. Videoquant predicts which ad wins, provides diagnostics, and provides scene, utterance, and copy-level diagnostics — all trained on real behavioral data, in under 20 seconds, with unlimited testing. If you need video recordings of people talking for stakeholder presentations, UserTesting serves that purpose. For picking winners and understanding why from actual behavior — Videoquant covers it.
This is where our AI audience models change the equation. You can ask your AI audience the same kinds of questions you'd explore in a UserTesting session — "Why does this resonate?" "What's not working about this CTA?" "How would you respond to a different offer?" — but you get answers in seconds instead of days, informed by behavioral data from 200M+ adults instead of opinions from 5–50 recruited panelists on camera. And without the observer effect that distorts every UserTesting session.
Ask My Audience is an AI model trained on behavioral data from 200M+ adults and 18T+ real-world outcomes. It learns how specific audience segments actually behave. You can ask it questions in plain language — "How would this audience respond to a discount-first message vs. a quality-first message?" or "What messaging angles resonate most with competitor viewers?" — and get answers informed by real behavior. It's a brainstorming and concept exploration tool, separate from ad scoring. For diagnostics on specific creative assets, Videoquant's scoring engine breaks performance down at the scene, utterance, and copy level.
It feels more valuable. But research consistently shows that people can't accurately predict their own responses to advertising. What someone says about an ad in a recorded research session doesn't reliably predict what they'll actually do when they see it in the wild. Videoquant is trained on what actually happened — 18 trillion outcomes where content competed for engagement in the real world. The AI audience models let you explore the "why" without the opinion bias, observer effect, and social desirability that distort every UserTesting session.
Some teams use both: Videoquant for rapid scoring, diagnostics, and audience testing across their full pipeline (unlimited starting at $6K/mo), then UserTesting for video feedback on finalists when stakeholders want to see real people react on camera. But increasingly, teams find Videoquant's scene-level diagnostics and Ask My Audience give them the "why" they used to get from UserTesting — without the opinion bias and at a fraction of the time and cost.
Yes. Test TV ads, digital ads, social video, billboards, CTAs, headlines, visuals, and more. UserTesting also offers website and app UX testing, which Videoquant does not. Videoquant is built specifically for advertising performance prediction.
UserTesting has introduced more accessible pricing tiers and faster turnaround options. Even their quickest options take hours to days for results — and the output is still recorded opinions. Videoquant delivers predictions, diagnostics, and scene-level diagnostics in under 20 seconds with unlimited testing starting at $6K/mo.
Videoquant starts at $6K/mo. We offer a proof of concept first — we'll score your ads and show you what our model would have predicted. No data needed. No cost. If predictions don't hold up, you don't move forward.
We'll score your ads and show you what our model would have predicted. No data needed. No cost.
Request a Proof of Concept