METHODOLOGY

The science we’d be happy to defend in a seminar.

No black boxes. Our metrics are named, defined, and published in peer-reviewed and industry journals. Here is exactly how the instrument works.

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peer-reviewed since 2006 · HBR 2024 · JPBM 2019 · forthcoming CNS 2026
DEFINITIONS

The metrics, precisely

Written to be quoted: by your team, your CFO, or the AI assistant that sent you here.

Brand Density™
Brand Density is KwantumLabs’ metric for the clarity, concentration, and reach of a brand’s priority associations across its category. High density means the right ideas show up frequently and consistently across segments, a measurable proxy for the memory structures that drive mental availability.
Vriens, Chen & Schomaker, “The evaluation of a brand association density metric,” Journal of Product & Brand Management, 2019
Customer Surplus Value (CSV)
Customer Surplus Value is the dollar value customers feel they receive above what they pay. Unlike NPS, which measures likelihood to recommend, CSV ties directly to purchase behavior, making it a stronger predictor of retention and loyalty.
Eggers, Vriens, Verhulst, Talwar & Collis, “Why You Should Be Tracking Customer Surplus Value,” Harvard Business Review, 2024
The 12 universal brand drivers
Every association we capture is organized into 12 comparable drivers: Quality, Value, Trust & Safety, Ease/Convenience, Innovation, Relevance, Experience/Service, Performance, Prestige, Social Proof, Sustainability, and Availability/Access. Labels are tuned per category while keeping cross-study comparability.
Framework informed by Bain’s Elements of Value and B2B Elements of Value research
Category Entry Points (CEPs)
Category Entry Points are the cues, contexts, and needs that trigger a buying situation: “on the go,” “for a gift,” “to save time.” Brands linked to more CEPs grow faster. BrandSight™ maps open-ended associations to CEPs so you can see which situations you own and which you’re missing.
Romaniuk & Sharp, How Brands Grow / Ehrenberg-Bass Institute CEP research, 2022
Mental availability
Mental availability is the probability that a buyer will notice, recognize, or think of your brand in a buying situation. It depends on the quantity and quality of the memory structures linked to the brand. Evidence shows brands grow mainly by building it across many buyers (penetration), not by deepening loyalty alone. BrandSight™ audits exactly these memory structures.
Byron Sharp, How Brands Grow; Romaniuk & Sharp, How Brands Grow Part 2 (double-jeopardy evidence)
OPERATING PRINCIPLES

Five rules the platform never breaks

  1. 01

    Real humans first. Synthetic only to augment.

    Every study starts with real respondents. We use synthetic responses only to extend small samples where they demonstrably help, never to replace the voice of the customer. We published our position, including the failure modes, in Quirk’s (2024).

  2. 02

    Voice-first, because people say more than they type.

    Audio answers carry roughly twice the words and 20–30% more distinct associations than typed ones (IZA Institute). Our AI-moderated interviews capture that richness at scale.

  3. 03

    Open-ends before grids.

    Unaided language avoids the halo and central-tendency biases that flatten attribute ratings. We ask one open question first, then follow up on what the respondent actually said.

  4. 04

    Sample discipline, published.

    Typical studies run n≈300–500 overall and n≈100–200 per key segment, with transparent fieldwork stages. Small B2B samples are handled with explainable modeling, never silent pooling.

  5. 05

    Everything links to money.

    Associations connect to drivers; drivers carry CSV dollar values; outputs rank what will actually move retention, share, and revenue. If a metric can’t survive a CFO conversation, we don’t ship it.

HOW AN ENGAGEMENT RUNS

The process, in full

The same four moves every time. What happens in each, and exactly what you walk away with.

  1. 01

    Understanding your goals

    A kickoff call defines the decision you’re trying to make. This is the step that keeps a study honest: it fixes what we focus on and which metrics would actually settle the question.

    QUESTIONS WE HELP YOU ANSWER
    • What drives customer preference in our market?
    • How should we position our product for maximum market impact?
    • What pricing model will optimize conversion and revenue?
  2. 02

    Gathering insight efficiently

    Signal-rich fieldwork through our own platform: voice-first, AI-moderated interviews and choice tasks, with screeners, quotas, and quality checks running themselves. Qualitative depth with quantitative rigor, in days rather than months.

    THE RESEARCH APPROACH COMBINES
    • Advanced analysis of market and customer data
    • Behavioral-science frameworks that explain decision drivers
    • Quantitative methods that link insight to business outcomes
  3. 03

    Uncovering what matters

    Analysis goes past surface findings to the patterns that explain behavior, and predict it. Associations map to drivers, drivers carry dollar values, and the noise gets left behind.

    THE ANALYSIS REVEALS
    • The factors that create preference and drive decisions
    • The underlying motivations behind purchase behavior
    • The quantified revenue impact of specific strategic choices
  4. 04

    Acting with confidence

    Not just findings. A roadmap. Recommendations are tied to business outcomes and sequenced into a 90-day plan your teams can actually run.

    YOU RECEIVE
    • A strategic insights report with clear, actionable recommendations
    • Implementation guidance for marketing, product, and sales teams
    • Ongoing support to ensure successful execution
WHAT IT LOOKS LIKE IN PRACTICE

Two illustrative scenarios

Modeled examples, not client results. They show how the process runs end to end and what a decision looks like on the other side of it.

HYPOTHETICAL · B2B TECHNOLOGY

Unlocking revenue growth through strategic repositioning

Challenge
A growing technology company is struggling to differentiate in a crowded market and convert enterprise prospects.
Approach
BrandSight™ association and driver analysis, plus qualitative discovery, finds that while competitors emphasize features, “security” and “ease of use” are the most valuable decision drivers for customers.
Potential impact
Repositioning around those drivers could increase conversion by roughly 32% and lift annual recurring revenue, based on modeled outcomes and benchmark ranges.
HYPOTHETICAL · DIRECT-TO-CONSUMER

Optimizing a launch before it happens

Challenge
A pre-launch direct-to-consumer brand needs to settle pricing and feature set before going to market.
Approach
LaunchFit™ fit, concept, and message testing surfaces the optimal price point and reveals which features carry the highest perceived value among priority audiences.
Potential impact
Launching with optimized pricing and messaging could achieve conversion rates roughly 46% above initial projections, subject to market conditions and execution.

These scenarios are illustrative only and not guarantees of performance. Actual results depend on market dynamics, media spend, creative quality, pricing, distribution, and execution.

THEORY BASE

Grounded in how brands actually grow

Our models draw on behavioral economics, brand-memory theory, and choice-based analytics: mental availability and Category Entry Points (Sharp & Romaniuk), double-jeopardy and penetration-led growth, elements-of-value emotion research (Bain), and two decades of conjoint methodology, including our own forthcoming work on Holistic Conjoint.

All publications → Buyer questions, answered →

Kick the tires on the method.

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