Get real insights in days.
Run live market experiments on social media that reveal true customer preferences, while protecting your brand and saving time.

Free


Have more questions? Book a demo with a member of the Heatseeker team here.



Why Heatseeker?
Make smarter decisions
Get rapid insights
Reach more, spend less


Frequently Asked Questions (FAQs)
With Heatseeker, you can test product concepts, value propositions, messaging, benefits, and buying drivers — live in-market, with real buyers. It's the fastest way to find out what your audience actually responds to, so you can make smarter decisions and build what matters.
You choose what to test — a value proposition, feature, message, or strategic direction. We turn that into a live market experiment, run across platforms like Meta or LinkedIn. Real customer behavior reveals what resonates, what converts, and what to prioritize. No surveys, no guesswork — just real-world data.
Experiments are run using stealth or neutral brand identities, so you can test bold directions without impacting your company’s public brand. This means you can explore pricing, messaging, or entirely new concepts safely and at scale.
You can run a wide range of market experiments across the entire growth lifecycle. Value Proposition Test, Benefit Test, Feature Test, Buying Driver Test, Strategic Concept Test, and more. Each is designed to help you answer a specific strategic question — and move forward with clarity.
Most experiments run for 5–9 days to gather statistically meaningful results. You can monitor performance in real time and end early if you’ve seen enough — but we recommend letting tests complete for reliable insight.
Heatseeker is SOC2 Type 2 certified. Heatseeker uses AES-256 encryption at rest and TLS 1.2+ encryption in transit to safeguard data across all services. Encryption practices are enforced at the infrastructure level and are continuously monitored to ensure compliance with industry standards.
No. We do not use customer-specific data for AI model training. All models are trained on aggregated and anonymized engagement patterns, ensuring data isolation and respecting customer confidentiality.