Stop asking 30 people what they think. Find out which ad actually wins — based on 200 million real behaviors. Then see exactly what's working at the scene and copy level.
Unlimited predictions and scene-level diagnostics — in under 20 seconds, starting at $6K/mo. No recruiters. No facilities. No waiting.
Request a Proof of ConceptIn a focus group, participants are paid to have opinions. They're sitting in a room with strangers, being watched through one-way glass, trying to be helpful. Of course they'll say your ad is good.
But saying "I would definitely click on that" in a conference room is very different from actually clicking on it while scrolling Instagram at 11pm.
The gap between stated preference and actual behavior is well-documented across decades of research. Focus groups capture what people say they'll do — not what they actually do.
Focus groups are notorious for groupthink. One dominant personality can sway the entire room. Moderator bias shapes the conversation. Participants anchor on early opinions and give socially desirable answers.
Videoquant is trained on 18 trillion real-world outcomes — when two pieces of content competed for engagement in the real world, which one won? We learn from what actually worked in market, not opinions about what might work. We then build AI models of your target audience so you can ask why one creative wins over another — without the groupthink, moderator bias, or social desirability that distort every focus group.
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.
In a focus group, participants are paid to have opinions. They're sitting in a room with strangers, being watched through one-way glass, trying to be helpful. The gap between what someone says about an ad and what they actually do when they see it is well-documented across decades of research.
Focus groups are notorious for groupthink. One dominant personality can sway the entire room. Moderator bias shapes the conversation. Participants anchor on early opinions and give socially desirable answers. Videoquant's AI audience models have no groupthink, no moderator bias, and no social desirability — just behavioral data from 200M+ adults.
30 people in a focus group. $20,000 total cost (facility + recruitment + moderation + incentives + analysis) = $667 per opinion. Starting at $6K/mo for unlimited testing, Videoquant lets you test every creative variation, headline option, and audience segment you're considering — with predictions based on real behavior, not paid opinions.
While you're waiting 6–8 weeks for focus group results, your competitor has already tested 50 variations, found the winner, and launched. Videoquant delivers predictions, diagnostics, and scene-level diagnostics in under 20 seconds. Test during the meeting, not after the quarter.
The promise of focus groups is understanding why people react. But that "why" is distorted by groupthink, moderator influence, observer effect, and social desirability. Videoquant builds AI models of your target audience trained on real behavioral data. Ask why one concept resonates more than another. Explore messaging angles. Pressure-test a CTA. Get the "why" without the noise.
Focus groups recruit 20–50 people by demographics. 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. You can ask your AI audience questions in plain language, and the answers come from behavior, not performance in a conference room.
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.
Which cut drives more response?
CTV, YouTube, TikTok, Meta
Which image grabs attention?
Who resonates with your audience?
Which creative wins the glance?
Which treatment performs?
For predicting which ad wins — yes. And for understanding why — increasingly yes. Focus groups promise qualitative depth, but that depth is distorted by groupthink, moderator bias, observer effect, and social desirability. Videoquant predicts which creative wins, provides diagnostics, and provides scene, utterance, and copy-level diagnostics — trained on real behavioral data from 200M+ adults. No recruited panelists, no conference rooms, no 8-week wait.
Videoquant breaks down predicted performance at the scene, utterance, and copy level — so you know exactly which elements are driving or hurting results. Then it identifies alternative concepts with higher predicted performance. Separately, Ask My Audience lets you brainstorm with an AI model of your audience about concepts and messaging angles — based on real behavioral data, not from 30 people performing in a room. If you still want focus groups for stakeholder buy-in, use Videoquant to narrow 20 concepts to 3 finalists first — reducing focus group costs by 80%+.
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.
Focus groups capture what 30 people say in a research environment. Videoquant is trained on 18 trillion real-world outcomes — what actually won when content competed in market. The gap between stated preference and actual behavior is well-documented. An ad that gets enthusiastic nods in a focus group can completely fail in market. We learn from revealed behavior, not stated opinion.
For quantitative prediction, yes. Statistical significance requires much larger samples. But the bigger problem isn't sample size — it's that focus group participants behave differently than real consumers. They're in an artificial environment, being paid to have opinions, influenced by group dynamics. Videoquant learns from what 200M+ people actually did in the real world.
We analyze your creative against 18 trillion real-world outcomes where content competed for engagement. Instead of asking 30 people "would you click on this?", we learn from what 200M+ people actually did. And with our AI audience models, you can ask questions and explore the "why" — based on behavioral data, not opinions. We proved with Fortune 500 & Super Bowl advertisers that this beats other approaches, and were awarded a patent on it.
Share results showing 4.1x acquisition improvement and 81% lower acquisition cost from Super Bowl advertisers — with statistical significance (p < 0.001). Or use our free proof of concept: we'll score your ads and show predictions against what you already know worked. The results make the case better than any slide deck.
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