A market research method that uses AI and live in-market experiments to gather real evidence of customer behavior and purchase decisions — without recruiting survey panels.
Validate positioning and value props against real B2B decision-makers, not panels.
Find the segments that actually respond differently — and message each one right.
Move past stated preference to revealed behavior — what real consumers choose in market.
Validate a business case against real buyer behavior — not a survey or a room of opinions.
Validate which concepts real buyers want before engineering commits a quarter to them.
Before you tune the funnel, validate the promise that earns the click.
Everything worth knowing before you put surveys behind you — no jargon, no hedging.
Evidence of what customers actually do — verified clicks, purchases and choices observed in live markets — rather than what they say they'll do in a survey or focus group.
Surveys predict real purchase behavior only 20–30% of the time. Heatseeker calibrates its predictions to up to 95% correlation with verified behavior.
An AI model of a customer segment trained on verified behavioral data and your own first-party data — not scraped web text. You can question it directly and get an answer in minutes.
A/B testing optimises one asset for one metric. Heatseeking reveals the deeper drivers behind a decision — jobs to be done, pain points, pricing, language-market fit — and feeds them into a private model of your market.
Synthetic experiments return a behavior-backed read in minutes. Live in-market experiments return statistically significant proof in days, not weeks or months.
No. Your synthetic audience is trained only on your tests, your first-party data and your behavioral signals. No one else gets access to it.
The thinking, experiments and results behind behavior-first marketing — written for operators, not algorithms. Straight to your inbox, no fluff.
See behavioral ground truth on your own question in a 15-minute demo.
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