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.

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High Rigor

Low Rigor

Slow

Fast

Traditional Firms

KwantumLabs

DIY Tools

AI Platforms

Four Questions Facing Every Company

Why do people buy in your category?

Foundational Research

Prioritize product roadmap features and improve messaging.

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What are people willing to pay, and which features do they value?

Conjoint Analysis & Pricing Research

Maximize revenue with better pricing and packaging.

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How do people perceive brands in your category, and what are those perceptions worth?

Brand Measurement & Tracking

Reveal investment opportunities for brand awareness and positioning.

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What can we learn from our customer data?

Unstructured Data Analysis

Monitor messaging effectiveness and category threats/opportunities.

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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

Days 1-3

Scope and design

Define objectives, select methodology

Week 1-2

Data collection or ingestion

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

Week 2-3

Expert analysis

PhD team applies proven frameworks

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.