The evidence
Look under the prediction.
Our published retrospective study compares general AI models with completed market experiments. It shows why predictions need to be checked; it does not measure Heatseeker panel accuracy.
Audience Behavior Prediction
Predict their next move. Before you make yours.
Predict how the audiences you need to win will behave, so your biggest marketing calls come with evidence you can defend.
Powered by an on-demand synthetic customer panel, trained and checked through live experiments with real audiences.
- Observed behavior
- Real buyers see real ads in market.
- Days to evidence
- Live results in three to seven days.
Ask the questions that change your next move.
AIExample questions for Heatseeker AI
Read the questions
- Which audience should we win next?
- Which promise gives people a reason to switch?
- What needs to change before we enter this market?
- Which campaign idea works beyond our loyal customers?
- Where are competitors leaving customer needs unmet?
- What wins younger buyers without losing our core?
- What does real behavior tell us that surveys missed?
- What should we test before we commit the budget?
Customer evidence for teams at
The difference
Surveys ask what people will do. Heatseeker shows what they do.
From the people who make the call
What marketing leaders say.
“You're bringing this ability to de-risk amazing creativity, to de-risk innovation in a space that's been needing that for hundreds of years.”
Lex Bradshaw-ZangerChief Marketing & Digital Officer, L'Oréal SAPMENA
Hear the conversation →Hear Lex say it (34 seconds)
“Our Australian team were sure they knew the market. So we put it in front of 40,000 real Australians, and saw a 44% uplift. That ended the debate instantly.”
Patrick StalCMO, HelloFresh
“Heatseeker gives me confidence, clarity, and conviction. It lets us explore ideas before our customers even see them.”
Steve BrennenCMO, Wamo Bank
“We had eight different creatives. We only ended up running two in paid social, and they were the highest-performing traffic campaigns we'd ever done. We eliminated the duds via Heatseeker in a few days, which would have taken a month.”
Madison WestallHead of ANZ Brand, DoorDash
The next 60 days
Which call are you about to make?
These are the choices that put real budget and brand at risk.
Change your positioning.
Which promise should we stand behind?
What you getA ranked set of promises, and the audiences each one wins.
Reach a new audience.
Who beyond our current buyers deserves the investment?
What you getThe audiences most likely to respond, and the reasons that move them.
Enter a new market.
Where do we go next, and what do we adapt?
What you getHow each market responds to the same offer, and what has to change.
Change your campaign platform.
Which big idea carries the next campaign?
What you getThe idea your audience responds to, and what to check before the full spend.
- What do people really do?Close the gap between saying and doing.
- Why this audience?Find who is worth the next investment.
- Why this promise?Test the positioning before the spend.
- Is the idea worth backing?Check the business case before you commit.
Facing a different choice, such as a product launch or an offer to invest in? That is what the first conversation is for.
The boardroom test
Never trust. Always check.
Up to 95%correlation with real-world behaviorHighest daily correlation observed between synthetic and live experiment results. Results vary by audience and question.
Every live experiment in Heatseeker runs a synthetic experiment alongside it in the background. Customers can see how closely the synthetic results match the live results for their experiments. The comparison is built into the product and visible to them.
The evidence.
The research, panel predictions and live results behind a recommendation, and how closely each relates to your choice.
The assumptions.
What had to be true for the recommendation to hold, set out where your CEO and board can challenge it.
The gaps.
What the evidence does not yet show, and whether a fresh live experiment would close the gap.
A shared basis for the decision. It shows what the call rests on.
See what makes people choose
Find what makes them choose.
Meridian Bank
The leading promise
Airfare savings.
Engagement relative to the winner.
Find the promise that leads.
Results show engagement relative to the winner.
Bring a decision. We'll show you how it would work.
Book a working sessionCustomer evidence
They were ready to bet the brand on it. The market disagreed.
The decision
A bank was certain its whole brand should be built on human-led customer support.
What Heatseeker showed
Tested as a concept against real buyers, in market, it lost. In every market.
What changed
What won was speed: set up an account in less than 10 minutes. The bank found out before the rebrand, not after.
The bank’s betHuman-led customer supportLost in every market
What wonSet up an account in less than 10 minutesBeat it in every market
When the panel was wrong
For a consumer-services brand, the panel’s first pick was Expertise.
What the market said
Real buyers chose Belonging. The live test caught the miss.
What changed
The result joined the panel’s history. Run again, it picked Belonging.
The panel’s first pickExpertiseCorrected by the live result
What the audience choseBelongingNow in the panel’s history
Anonymized customer examples. Read the full bank story.
How the advantage builds
Every decision makes the next one smarter.
Every live experiment teaches your customer panel automatically, so everyday questions get answered without a new test.
Build the panel
Your customer panel starts from your research and your data.
Measure behavior live
Real audiences make real choices. A synthetic run checks alongside every live experiment.
Predict the next call
The panel answers your next question, from brand to product to customer experience.
- Every result teaches the panel, automatically.
- Needs fresh evidence? Run the next live test.
One shared customer model
An answer your whole team can get behind.
- BrandWhich promise should we lead with?
- InsightsWhat does the evidence support, and what should we investigate next?
- ProductWhich customer need should the next concept address?
- GrowthWhich proposition should we put into market next?
- 93%
- of everyday questions answered by an existing panel, with no new experiment
- 1 in 13
- questions needs a fresh live experiment
- 91% to 95%
- answered by the panel after a customer's first six months
Product analytics across Heatseeker customer workspaces, May to September 2026. Live results feed the panel automatically. Your research and other data are added with your team.
Product walkthroughs
See a question become an experiment.
Explore the banking and grocery walkthroughs. They may show earlier wording.
The details that matter
Straight answers.
What does Heatseeker actually predict?
How a defined audience is likely to respond to competing needs, propositions, product directions or offers. The prediction helps you choose what to investigate or back. Its meaning depends on the audience, context and behavior you are trying to influence.
How do you find high-potential audiences?
Use market listening and existing research to surface candidate audiences and unmet needs. When the target is unclear, start with a broader live experiment and inspect response by relevant segments or regions. Go deeper on priority audiences, compare reasons to buy and use the evidence to guide whom to pursue. This does not automatically establish market size or future share growth.
What sits behind Audience Behavior Prediction?
A reusable synthetic customer panel: AI models of your audiences, informed by your research and trained and checked through live experiments with real people. The panel supports predictions across the decisions your team faces. Modelled responses are predictions, not fresh human interviews.
How does this connect to profitable share?
Start with the commercial decision and combine audience evidence with your economics, market context and share data. A behavioral response helps inform that decision. A click, signup or purchase in an experiment is not by itself a forecast of profit or market share.
Do you need to run a new test every time?
No. Teams can keep using the panel and accumulated evidence between experiments. Fresh live testing helps when a new audience, changed context or consequential decision exposes a material evidence gap.
What does a first engagement involve?
Start by choosing which consequential decisions matter most, then define the audiences to investigate and what evidence would change each choice. Agree research inputs, model scope, live experiments, media allowance, timing and price before starting. Existing research and agency partners can be part of the work.
Audience Behavior Prediction
Which choices matter most right now?
Bring the call you are about to make. We will work out what evidence would settle it, and show you how it would work.
Start by choosing the decisions that matter. Define the evidence each needs. Agree the scope before beginning.