U.S. Patented & Super Bowl Validated

Moneyball for ads.

Most ads lose money. Our AI knows which ones, before you spend. Up to 81% lower CAC.

Direct Mail TV / CTV Meta

See case studies by channel

Free proof of concept · ~1 hour

Prove CAC reduction on your data today.

Book your free POC

See validated case studies

We work with teams at

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Protected by U.S. Patent No. 12,020,279.
Others make claims. We have IP.

Why is my CAC so high?

You're optimizing media. But 70% of the outcome is creative, and nobody manages its P&L impact.

Why is testing so slow and expensive?

Each test takes weeks and burns budget. Videoquant takes seconds, before you spend.

Prove it.

No integration. No commitment. Your ads, your data.

Proof of Concept

Why I Built Videoquant

"I wasted $100M+ on ads, paying 2x a competitor's CAC on identical media, all because of creative. I felt like crying. That's why I built Videoquant."

— Tim D'Auria, ex-Bloomberg Quant, ex-Tripadvisor TV Head ($100M+/year spend)

Where it started

Ad creative drove 2× more growth per dollar…

for my competitor!(oh that's nice)

When I led TV at Tripadvisor, we could run the exact same media plan and flighting as a rival. Yet they'd get roughly 2× the lift per media dollar. Root cause: creative.

My vs. Competitor TV Lift (on Identical Media Plan)

Illustrative TV-caused lift vs. seconds from spot start (0 = airtime; response onset ~5 s with exponential decay tail). Competitor clears roughly 2× the peak lift I saw on identical media.

Put another way:creative cost $40M in media inefficiency.

This chart hangs on my wall as a reminder of why Videoquant exists.

The Problem

76% of ads don't break even... because of creative

70% of ad outcomes are driven by creative (Google Research). Yet most teams still guess, causing CAC bloat. Super Bowl advertisers like DraftKings and Uber use Videoquant to move 100x faster using outcomes data, not opinions. Read the case studies.

How brands decide where to spend on creative today

🎯

Gut Instinct

Subjective

🗣️

Opinions & HiPPOs

Biased

📊

Post-Launch Data

Too Late, Too Little, Too Expensive

The Videoquant Fix

Predict which ads will perform — before you spend.

Our AI analyzes behavioral data from 200M+ adults to predict creative performance in seconds, not weeks.

💵

Revenue

Sales lift

👤

Acquisitions

New customers

📱

App Downloads

Install rate

📈

Brand Lift

Awareness

⚡

Engagement

Interaction rate

🎯

Your KPI

Custom metrics

The ROI Mechanism

Simple capital allocation for creative.

Score your creative before you spend. Put more money behind high scores, less behind low ones. It's that simple. See how it shows up in client results.

📈

Spend More

on high-scoring creative

📉

Spend Less

on low-scoring creative

Who It's For

Every media dollar pays the 'Creative Gamble Tax'.

Four teams get impacted by one blind spot.

⚠️

Marketers believe creative drives 20% of sales. Google Research measures 70%. The gap is where budgets go to die.

↔ Select a role

Your CAC problem is creative. You just can't prove it yet.

A/B tests take weeks. Focus groups take months. And both require you to guess what's even worth testing. Videoquant tells you which creative wins — in 20 seconds — using outcomes data, not opinions.

The Pain

Traditional creative pre-testing: 4–8 weeks, $20K+, and you still have to guess what to put in them
Focus groups: 6–8 weeks, $30K+, based on what people say — not what they do
Post-launch data: by the time you have signal, the budget is already burned — and the creative has fatigued

The Relief

Score any creative — briefs, concepts, raw cuts, finished ads — in 20 seconds
Outcomes data from 200M+ adults and 18 trillion real interactions, not surveys
Enter every A/B test already knowing what wins — cut losers before they cost you

81% lower acquisition cost from creative reallocation (publicly traded Super Bowl advertiser)

p < 0.001

Stop defending creative decisions with opinions.

80% of marketers say creative quality is the most important factor in campaign success. Less than half measure it. Videoquant closes that gap — before production wraps, before budget is committed, before your competitor gets there first.

The Pain

Creative directions get greenlit by HiPPOs, gut instinct, and agency recommendations — not outcomes data. 66% of senior marketing executives still rely on gut instinct for critical decisions (Qualtrics, 2025)
Focus groups take 6–8 weeks at $30K+ and tell you what people say, not what they do — and research shows stated preference has a negative correlation with actual sales results
Post-campaign measurement arrives too late to change anything — and only shows you what you already tested, never what you didn't
No visibility into why competitor creative is outperforming yours

The Relief

Pre-screen creative briefs, concepts, and directions before any production budget is committed
Behavioral prediction from 18 trillion real-world experiments — not stated preference
Run competitor ads against your own audience — see exactly where you're losing and why
Walk into every creative review with predicted brand lift, awareness, and revenue per asset

4.4× higher brand lift. $240K saved per $1M in TV spend.

Blinded study, p = 0.03

You're weighting spend equally across unequal creative. That's the leak.

Creative drives 70% of media outcomes (Google Research). Yet when campaigns underperform, the channel gets blamed. Videoquant gives you a pre-launch quality signal so you know which creative deserves the dollars — and proof that the media was right.

The Pain

You're handed 4 creatives and a $10M budget. You weight them equally because you have no quality signal
When performance disappoints, the channel gets blamed — Nielsen's research found that weak creative produces weak sales lift that gets attributed directly to media
You have no way to tell your client the media was right. The creative was wrong.

The Relief

VQ scores give you a pre-launch quality signal for every asset before spend is committed
Weight higher-probability creative with more dollars. Pull back on low scorers before they cost you
When a campaign underperforms, you'll know whether it was the media or the creative — and you'll have the data to prove it

81% lower acquisition cost — driven entirely by reweighting spend toward higher-scoring creative. The media plan didn't change. The creative weighting did.

p < 0.001

Creative is the black box breaking your attribution model.

MMM treats all impressions as equal. They're not. Right now, creative quality is disappearing into your error term — and biasing every channel coefficient around it.

The Pain

Creative quality is uncontrolled variance in every regression you run — and your model has no way to see it. One dollar of ad spend is treated the same regardless of which ad was running
A great ad and a terrible ad at the same placement produce completely different outcomes. MMM can't tell them apart — and the difference gets absorbed as media performance variance
When a campaign swings, you can't tell stakeholders whether it was the media, the audience, or the creative

The Relief

Use VQ scores as a covariate in MMM or MTA — creative quality becomes a measurable input, not a confound, removing the omitted variable bias distorting your other coefficients
Pre-launch signal that validates media planning before dollars are committed
Compatible with Google Meridian, Measured.com, and leading attribution frameworks — drop it in as a variable, not a rebuild

A $60B brand. $2B/yr in media. Blinded test.
VQ-guided creative: 4.4× higher brand lift.
Four independent internal teams validated the signal — across TV, paid social, app store, and offer testing — without coordinating.

p = 0.03

Proof of Concept Case studies

Reason for Videoquant

Why Billion-Dollar Brands Trust Videoquant

"Managing billion-dollar marketing budgets requires rigorous testing. Our tests confirmed Videoquant's predictions significantly correlated with crucial downstream metrics. Videoquant's innovative approach leverages others' marketing investments to measure what works in the market before we spend."

— Michael Strickman, ex-Uber VP Performance Marketing and Growth

Why This Matters

Often the answer isn't channel. It's creative.

Most brands ask "Why didn't this channel work?" or "Why did CTV fail?" or "Why did performance drop?"

If you can predict creative performance before launch, you remove the largest source of waste in paid media. Browse case studies for channel-by-channel proof.

How It Works

20 seconds for outcomes-based insight

Not weeks for opinions or costly A/B tests.

Input Creative

Ideas, briefs, CTAs, visuals, or complete ads.

Select Audience

Choose the audience you want to test against.

Score + Diagnostics

See predicted results with scene, utterance, and copy-level diagnostics.

Incremental Lift

Spend more on high scores, less on low ones.

Teams run this workflow across direct mail, Meta, TV, and beyond — from app screenshots to offer testing and creative briefs.

Proof of Concept Case studies

Reason for Videoquant

Tripadvisor's founder explains

"Tim led Tripadvisor's TV advertising data science, optimizing $100M+/year in TV across 10 countries. With Videoquant, he developed a breakthrough approach and technology I wish we had back then—removing guesswork from advertising."

— Steve Kaufer, Tripadvisor Co-founder & ex-CEO of 22 years, CEO of GiveFreely

Proof of Concept Case studies

Results

How Super bowl brands put Videoquant to the test

Full write-ups: case studies (Fortune 500 CTV, Super Bowl TV, and more).

Blind study done by a $60B brand spending $2B/yr on marketing.
VQ predictions gave 4.4x higher brand lift & ROI (p-val 0.03).
$240K savings per $1M spent on TV.
In a two-year enterprise engagement, one client saw an estimated $20M+ in incremental value on a $330K annual investment. Discounting that estimate by 95% still yields a 3x return.

Proof of Concept Case studies

Practice areas

We focus on three channels

Direct mail, TV, and Meta — same prediction engine, tuned for how each medium actually performs.

Direct Mail

Packages & letters — Score creative, offers, and formats before print and postage.
Inserts & catalogs — See predicted lift on appeals, layouts, and CTAs.
Lift vs. cost — Know which variants deserve house file or prospecting volume.

TV

Linear & CTV — Proven in large controlled tests; trusted in major TV campaigns.
Scene-level diagnostics — Pinpoint what helps or hurts performance.
Capital allocation — Put serious dollars only behind creative the model already likes.

Moneyball for ads.

Prove CAC reduction on your data today.

Why is my CAC so high?

Why is testing so slow and expensive?

Prove it.

Ad creative drove 2× more growth per dollar…

Input Creative

Select Audience

Score + Diagnostics

Incremental Lift

Direct Mail

TV

Meta

Tim w/ CBS + Roku

Tim w/ CEO iSpot

Tripadvisor ex-CEO