Marketing Science + AI for Product & Brand Teams
Learn what customers think, feel, and value
KwantumLabs applies PhD-level marketing science to conversational data from any source, delivering quantified, decision-ready insights in weeks, not months.
Four Questions Facing Every Company
What do customers actually need?
Foundational ResearchUncover unmet needs, market perceptions, and jobs-to-be-done opportunity scores through AI-moderated interviews analyzed by PhD researchers.
Learn moreHow should we configure and price it?
Conjoint Analysis & Pricing ResearchMeasure willingness to pay for every feature and configuration. Optimize your pricing and packaging with precision.
Learn moreIs our brand working?
Brand Measurement & TrackingQuantify what your brand is worth in economic terms. Link brand perception directly to the premium customers will pay.
Learn moreWhat can we learn from our customer data?
Unstructured Data AnalysisTurn sales calls, support transcripts, and recorded interviews into strategic product, pricing, and brand insights.
Learn moreFrom question to answer in 2-4 weeks
Scope and design
Define objectives, select methodology
Data collection or ingestion
New studies via our platform, or analysis of your existing data
Expert analysis
PhD team applies proven frameworks
Strategic deliverables
Decision-ready reports and recommendations
Our researchers handle the thinking. AI handles the volume. Already have data? We analyze that too.
See the full processConversations provide the richest data on what people actually think. Our expertise turns that data into insights.
Interviews with customers, sales calls, podcasts, YouTube videos... The volume of potential conversations about brands and products is massive. But companies lack the analytical frameworks to turn that data into quantified, business insights.
KwantumLabs fills that gap. Our team developed the marketing science frameworks that connect conversational data to economic outcomes: Consumer Surplus Value for measuring what brands are worth, Brand Density for quantifying brand associations, and Holistic Conjoint for precise willingness-to-pay measurement. We apply these frameworks to conversational data from any source, whether we collect it through our proprietary platform or analyze data the client already owns.
Built by the researchers who wrote the textbooks
Rogier Verhulst, MBA
CEO and Co-Founder
Built LinkedIn's 30+ person research org
Marco Vriens, PhD
Chief Methodologist
50+ publications. Former Global CRO at Ipsos
Forest Baker, PhD, MBA
Head of Growth
Launched LinkedIn's ad effectiveness program. 2,200+ citations
Felix Eggers, PhD
Scientific Advisor
Published in PNAS and Marketing Science. Full Professor at CBS
Trusted by leading companies