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.

High Rigor
Low Rigor
Slow
Fast
Traditional Firms
KwantumLabs
DIY Tools
AI Platforms

Four Studies. Every Major Research Decision.

Why do people buy in your category?

Buyer Analysis: JTBD

Reconstruct real buying decisions with switch interviews and MaxDiff priority ranking. Learn why buyers chose you, why they chose alternatives, and what language drives the market.

Learn more

How does the market perceive your brand and what is it worth?

Brand Associations + CSV

Measure Brand Density, Consumer Surplus Value, and the emotional landscape across your full competitive set. Quantify what your brand is worth in dollar terms and where you own white space.

Learn more

What will buyers pay and which features do they value?

Conjoint: Pricing and Packaging

Force real buyers to make real trade-offs between features and price points. Get willingness-to-pay estimates per feature, a feature value hierarchy, and a market simulator for testing packaging scenarios before launch.

Learn more

How is our brand perception and value changing over time?

Brand + CSV Tracking

Repeat core brand and CSV measurement wave over wave. See which associations are gaining or losing strength, track competitive moves, and prove to leadership that brand investments are producing measurable outcomes.

Learn more
100+ Peer-reviewed papers
8,000+ Research citations
27+ Combined years at LinkedIn
2-4 weeks Kickoff to deliverable
30-40% Savings vs. traditional firms

From question to answer in 2-4 weeks

1
Days 1-3

Scope and design

Define objectives, select methodology

2
Week 1-2

Data collection or ingestion

New studies via our platform, or analysis of your existing data

3
Week 2-3

Expert analysis

PhD team applies proven frameworks

4
Week 2-4

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 process

Conversations 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

Rogier Verhulst, MBA

CEO and Co-Founder

Built LinkedIn's 30+ person research org

Marco Vriens, PhD

Marco Vriens, PhD

Chief Methodologist

50+ publications. Former Global CRO at Ipsos

Forest Baker, PhD, MBA

Forest Baker, PhD, MBA

Head of Growth

Launched LinkedIn's ad effectiveness program. 2,200+ citations

Felix Eggers, PhD

Felix Eggers, PhD

Scientific Advisor

Published in PNAS and Marketing Science. Full Professor at CBS

Trusted by leading companies

Have a research question? Let's talk about it.