🚀 Invest in the Revolution of Market Research
Boomerang Ideas is reinventing surveys by offering the first self-service platform that delivers representative market research on social media and messaging channels (TikTok, LinkedIn, WhatsApp, etc.). We’ve developed a breakthrough methodology based on behavioral science, AI and adTech, validated by two independent studies, and we’re leading the way in transforming how businesses gain insights from the world's most relevant channels. With our LLM trained on 25yrs of proprietary data, we are bringing a new agility into research by giving insights in minutes instead of days.
💡 Current Opportunity: We’re raising USD 2M in a Seed+ round to scale globally. Participation is open for a limited time.
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1. Why Boomerang Ideas?
Proven Traction & Product-Market Fit
- 27 paying customers, including leading brands like Lindt, Mobiliar or BERNINA.
- $180’000 ARR, growing with an increasing customer base.
- Defensible tech, patent-pending, 2 studies and strategic collaboration with research institute gfs.bern and academia (University of Zurich, University of Basel, Stanford University)
Massive Market Potential
- The global market for market research is valued at $50B. We’re positioned to capture a significant share by 2032, estimated at $100M.
- Expanding into DACH, LATAM, and the US with AI-driven tools designed to automate and democratize market research.
2. What Makes Boomerang Ideas Unique?
Game-Changing Technology
- We are the first platform to provide representative samples from social media and messaging—delivering real-time, validated feedback from the channels where your consumers spend the most time.
- AI Simulations & BoomerangAgent: Our cutting-edge technology enables faster insights, reducing the need for human sampling and enhancing research agility.
3. Validated Methodology
- Backed by two independent studies with the University of Zurich and supported by a USD 600k grant from Innosuisse (Read one of the studies here).
- Collaboration with University of Basel and Stanford in our next study on synthesized answers and reducing sample size