Know which creative wins before you spend a dollar.
AI-simulated audiences that predict real human response. Test on your actual target demographic in minutes, not weeks. No budget burned. No focus-group flattery.
Proof
Validated against reality, not opinions
We don't ask you to trust a methodology. We ask you to look at what happened when our predictions met real audiences.
We predicted which of two multi-national charity donation appeals would win. A live A/B test on the same audience confirmed it: our pick generated 13.5% more donation revenue.
Our synthetic audience rated a global CPG brand's logo 18% five-star. Their own focus group said 40%. The focus group was telling them what they wanted to hear. We don't.
Every pilot includes an A/B test designed up front, with a success metric agreed before we start. If we're wrong, you'll know. That's the point.
The problem
Every way you test creative today fails differently
Every campaign is a study you already ran. The only question is how well it was designed.
Gut and experience
The industry defaultMost creative ships on a senior director’s instinct. Free and instant — and still a study, just one with a sample of one and no control. When the call is wrong, nobody finds out until the budget is spent, and there is nothing left to learn from.
Focus groups
Biased twice over$15K–$65K and 3–6 weeks for 6–20 people who flatter the moderator. Worse: the room often isn’t even your demographic — the customers you actually target don’t show up for a gift card.
Properly powered A/B tests
Valid but expensiveStatistically valid, at $40K–$120K per test and 1–4 weeks. And every impression served to the losing variant is real audience burned before you knew it would lose.
Underpowered A/B tests
The quiet trapWhat most teams actually run: $500–$7,500 on Meta, 48 hours, a fraction of the conversions needed for significance. Fast, cheap, and statistically meaningless — but decisions get made anyway.
The math
Same question, four ways to answer it
Which creative wins? Here is what each answer actually costs.
| Method | Cost | Time | Audience | Real audience burned | Bias |
|---|---|---|---|---|---|
| Focus group | $15K–$65K | 3–6 weeks | 6–20 people | No | High |
| Powered A/B test | $40K–$120K | 1–4 weeks | 10K–100K+ consumers | Yes, losers included | Low |
| Underpowered A/B (the norm) | $500–$7.5K | 48 hours | 1K–10K consumers | Yes, inconclusive | Invalid |
| streetlamp | A fraction of one A/B test | Hours | 1K–100K+ synthetic respondents, your demographic | No | None |
Industry cost figures: Drive Research and Farnsworth Group, 2026. A/B significance thresholds: ROASPIG Meta benchmarks, 2026.
How it works
Test creative the way engineers test everything else
Cars are designed in crash simulation and confirmed with one physical test. Chips are simulated before a single one is made. Your creative deserves the same.
Upload your variants
Two to five ad concepts, finished or rough. If you can show it to a focus group, you can show it to us.
Your audience responds, synthetically
Thousands of simulated respondents matched to, and trained on, your actual target demographic. No panels, no gift cards, no one performing for a moderator.
Get the winner and the why
A ranked prediction with reasoning you can defend in a creative review. In hours, not weeks. Validate it with a live A/B test whenever you want.
You'd never crash-test your way to a car design. Stop crash-testing creative on live audiences.
Where it applies
Start with ads. Grow from there.
Creative testing is where we prove revenue impact first. The engine goes further.
Ad creative testing
Head-to-head creative pre-testing for paid social, donation appeals, and brand campaigns. The wedge we validated with a live +13.5% revenue result.
Packaging concepts
The same simulated-audience engine, pointed at pack designs and shelf-readiness. In early testing with a global CPG brand.
New product concepts
Concept-level demand reads before you brief an agency or tool a line. In early experiments with select brands.
Put it to the test
Run the study before you run the campaign.
A campaign is a study you pay for in media. We run it first, against a simulated audience, then structure a pilot with live A/B validation built in and a success metric agreed up front. We win when the prediction holds.