A/B testing tells you what worked after you spent. Videoquant predicts what will work — before a dollar is committed.
Unlimited predictions and scene-level diagnostics — in under 20 seconds, starting at $6K/mo.
Request a Proof of ConceptA/B testing answers: "Which ad performed better with real users in market — after I spent the money?"
Videoquant answers: "Which ad will win, why, and for which audience — before I spend anything?"
A/B testing is the gold standard for measuring actual in-market performance. When you need causal proof that Ad A drove more conversions than Ad B, nothing beats a well-run A/B test with real users and real spend.
We solve a different problem. Videoquant predicts which ad will win before you commit budget — trained on 18 trillion real-world outcomes. We provide diagnostics on what's working and what isn't, and we build AI models of your target audience you can ask questions to. We're not better at measuring what happened. We're faster, cheaper, and more informative at predicting what will happen.
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.
A/B tests require live media spend, finished creative, and weeks to reach statistical significance. You get causal proof — but only after committing real budget to losing variants.
Videoquant predicts which ad wins before you spend, provides diagnostics on what's working and what isn't, and lets you get scene, utterance, and copy-level diagnostics from. Ask why one concept outperforms another. Explore messaging angles. Pressure-test a CTA. All in under 20 seconds, at any stage from concept to finished cut.
A/B tests require live media spend to generate results — often $5,000–$50,000+ depending on sample size needs and cost per impression. Videoquant predicts winners before you allocate a dollar to any variant. Use us to pick which concepts are worth A/B testing in the first place.
A/B tests need time to reach statistical significance — typically 2–4 weeks minimum, often longer for brand campaigns or smaller audiences. Videoquant returns predictions, diagnostics, and scene-level diagnostics in under 20 seconds. When your CMO needs a decision by Friday, you can't wait for significance.
A/B testing gets expensive fast when you're comparing multiple variants — each additional cell increases your required sample size and spend. Starting at $6K/mo for unlimited testing, Videoquant lets you screen every concept, then reserve your A/B testing budget for validating the finalists.
A/B testing requires finished creative ready for market. Videoquant works at any stage: test scripts before production, concepts before design, rough cuts before final edit. Kill losers early when changes are cheap.
A/B tests tell you which ad won. They don't tell you why. Videoquant builds AI models of your target audience trained on real behavioral data from 200M+ adults. Ask why one concept outperforms another. Explore whether the CTA, visual, or message is driving the result. It's the diagnostic layer A/B testing has always been missing.
A/B tests often end with "no statistically significant difference" — a valid result that doesn't help you pick a winner. Videoquant always returns a prediction with a confidence score, plus scene, utterance, and copy-level diagnostics, giving you a directional answer even when differences are subtle.
A/B tests measure whoever happens to see your ad in market. Videoquant builds LLMs that learn how your specific target audience behaves — trained on real behavioral data from 200M+ adults. Test against the audience you're actually trying to reach, not a random sample of impressions.
Predictions validated across TV, paid social, app store, and offer testing by publicly traded brands spending billions on marketing.
For most creative decisions, yes. A/B testing gives you causal proof of what worked in market with real users — after you've spent the money. Videoquant predicts what will work, provides diagnostics, and provides scene, utterance, and copy-level diagnostics — before you spend anything. If you need to prove to your CFO that Ad A drove 15% more conversions, run an A/B test. If you need to pick which 3 of 15 concepts are worth producing, understand why one outperforms another, and move faster than your competitors — start with Videoquant.
The smartest teams use both: Videoquant to rapidly screen concepts, get diagnostics, and explore audience thinking early (when changes are cheap), then A/B testing to validate the finalists in market (when you need proof). This reduces A/B testing costs by ensuring you're only spending real budget on strong contenders — and you already know why they're strong before the test runs.
Exactly. A/B tests give you a winner and a loser — but no explanation. Videoquant provides predictions plus diagnostics, and provides scene, utterance, and copy-level diagnostics one version outperforms another. Explore whether the CTA, visual, headline, or offer is driving the result. It's the "why" that A/B testing has never been able to provide.
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.
Different signal, different methodology. A/B tests measure what a small sample of real users did with your specific ads after you spent money. Videoquant is trained on 18 trillion outcomes — when content competed for engagement across 200M+ people in the real world, which one won? We learn patterns that generalize across creative. Our predictions have driven 4.1x acquisition improvement and 81% lower acquisition cost in controlled tests (p < 0.001). We were awarded a U.S. patent for proving our methodology beats other approaches.
Keep doing it — and make it work better. Videoquant isn't meant to replace A/B testing for teams that have the budget and timeline for proper tests. We're for the 90% of creative decisions that never get A/B tested because it's too slow, too expensive, or the creative isn't final yet. And for the tests you do run, we give you the "why" that A/B testing can't.
This is a valid A/B test result — it tells you the variants performed similarly in market. But it doesn't help you pick a winner, and it doesn't tell you why. Videoquant always returns a directional prediction with scene, utterance, and copy-level diagnostics. When two ads are close, we'll tell you they're close — and we'll tell you what's driving the difference.
Yes. A/B testing requires finished creative that can run as actual ads. Videoquant works on scripts, storyboards, rough cuts, concept mockups, and final assets. Test earlier when changes cost nothing — and understand why one direction is stronger before you invest in production.
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