Heatseeker shows food brands what customers actually order, not what they tell a survey. Walk into the menu, promo or positioning decision with behavioral proof, not a best guess.


Starting it loads Storylane, which stores an ID in your browser and records how the demo is used.
The interactive tour is built for a bigger screen. Open it full screen to click through.
Open the Tour ↗Demo workspace. The brand and the results are fictional.
See the full product tour →Customers tell you they want healthy, local and good value. Then at 9pm, on their phone, they order what they always order. Big food brands have more data than almost anyone, and still can't see why customers choose what they choose.
Every promo teaches customers to wait for the next one. Surveys can't tell you which offer changes behavior and which one just gives margin away.
The data shows something odd, customers are already doing it, and nobody can prove it's worth backing. So it gets killed.
LTOs, seasonal ranges and promo calendars are locked in months ahead. Make the wrong call and you live with it for a quarter.
How well surveys predict what people actually buy
How well live behavioral experiments predict it
At McDonald's, Lex Bradshaw-Zanger watched the data point to something strange: customers were putting nuggets on their sundaes. It stayed a secret-menu curiosity, because nobody could prove it was worth more.
“If we'd had Heatseeker then...”

“Marketing's all about behavior change. We're trying to get a person from not buying something to buying something, from leaving to being loyal.”

HelloFresh's Australian team were sure they knew their market. A live test with 40,000 real Australians showed a 44% uplift and settled it.
See customer stories →A leading food delivery platform found which of eight partnerships would drive subscriptions in 72 hours, using behavioral proof.
“Do all the intelligent work. And then every few months, put yourself behind a mirror and listen to real customers.”
Once your synthetic audiences are trained, you can screen a dozen menu, offer or range ideas in minutes. Live tests are kept for the few that deserve market proof.
Live experiments run for 4 to 7 days on Meta, TikTok or LinkedIn, well before the calendar locks.
Every answer comes with a board-ready summary and cited sources, so the people who have to execute can see why.
SOC 2 Type II audited. Your data is never used to train AI models.
Past studies, loyalty and brand-tracking research, app reviews and campaign results, so you never start from scratch.
"Will a late-night value menu bring in new customers, or just take sales from dinner?" You get an answer based on behavior, with citations you can drill into.
Trained synthetic audiences answer most questions in minutes. Live experiments settle the rest in 4 to 7 days.
Every insight links to its source: a document, a customer quote or a live result. You leave with a board-ready summary, not a hunch. When the CEO asks "how do we know?", you have the answer.
It's research into how people choose what to eat, where to buy it and how often. Most of it relies on surveys and focus groups. Heatseeker measures behavior, because what people say about food and what they order are often very different.
Surveys record what customers say, and they predict purchase behavior 20 to 30% of the time. Heatseeker runs live experiments that put real choices in front of real people.
Yes. Test them as concepts with synthetic audiences in minutes, then live in market in 4 to 7 days, before you commit to supply or print.
Yes. Past studies, tracking and customer verbatims all go in, and every answer shows which source it came from.
A synthetic read takes minutes. A live experiment runs for 4 to 7 days.