One platform. Two engines. Every customer decision.
Heatseeker pairs always-on synthetic personas with live in-market experiments — both grounded in your first-party data, both calibrated against real behavior. Predict in minutes, prove in days.
Predict in minutes. Prove in days.
Put your customer on demand
Turn your own data into a customer you can question directly. Ask anything and get an answer in minutes — or run synthetic experiments at a fraction of the cost of fieldwork.
Know what your market will do
Real experiments with real audiences show what customers actually do — not what they say. Plan, design and launch live ads with Heatseeker AI; proof from the market in days.
From a growth question to a decision — built, run and analyzed for you.
“Which positioning wins the male skincare segment?” Plain language in.
Heatseeker proposes the audience and designs the experiment from your site & data.
Experiments run on Meta & LinkedIn — branded or in stealth — against real buyers.
The decision, the evidence behind it, and your next best experiment — ready to act on.
Every answer traces back to real buyers making real choices.
We measure revealed preference — the choices people actually make — not survey-stated intent. Here's the method, the sampling, and how confidence is calculated.
Ad variants go live to real audiences on Meta and LinkedIn. We measure revealed preference: the choices people actually make, not survey-stated intent.
Each result is tested for statistical significance before it informs a persona. A typical experiment gathers tens of thousands of impressions and hundreds–thousands of engaged responses.
Persona answers are grounded in that behavioral data, each carrying a confidence score derived from sample size, effect size, and consistency across experiments.
What you can audit
Every persona answer is fully traceable.
- ✓Sample size on every experiment
- ✓Exact audience definition and targeting
- ✓Statistical significance / confidence interval
- ✓The experiments behind any single answer, traceable by ID
The Customer Context Layer.
Everything Heatseeker learns about your brand, kept and compounding — CRM, transactions, performance marketing and research, all in one view. The two engines feed it, and it makes both of them smarter. The longer you run, the sharper every answer gets.
- →First-party data in, one customer view out
- →Refreshed monthly, weekly or daily by plan
- →Never used to train third-party models
Every prediction is checked against real outcomes; every answer scored for accuracy — 95% correlation to real behavior. Evidence trustworthy enough to act on.
Each experiment sharpens the next. Your context layer becomes a moat competitors can't buy off the shelf.
Live inside the AI tools your team already uses.
LLMs generate; Heatseeker validates. Through MCP, your assistant can ask Heatseeker to predict and prove — and get evidence back, not guesses.
Connect via MCP so your assistant validates messaging and pricing against real behavior in the flow of work.
Live experiments run on the platforms your buyers are actually on — branded or under a lookalike brand.
CRM, transactions, loyalty and performance marketing flow into one compounding customer view.
We don't optimize ads. We answer the questions behind your strategy.
Real ads are the instrument — the way we observe genuine behavior at scale. Every experiment is built around a strategic question, and the output is a decision: who your audience really is, what they value, and what they'll do.
Which promise actually moves your market.
What truly drives the decision to buy.
Which capabilities customers will pay for.
Where the next big bet should be placed.
The exact words that land in each market.
See the platform on your own decision.
Bring a live question. We'll show you both engines working on it.
Book a 15-minute demo →