Marketing Science & Data Analytics

Depth psychology turned into numbers, data science turned into impact, behavioural science turned into explanation. concept m combines depth-psychological research with quantitative precision and the explanatory power of behavioural science. The result is robust decision models instead of isolated data points.

More data is not enough.
You need better explanations.

Many quantitative studies deliver precise measurements but stop at the question of what is happening. concept m adds psychological depth logic to the measurement: we start from unconscious meanings and motives and translate them into valid measurement models.

The result is research that is scientifically robust and strategically usable, from hypothesis to recommendation.

Integration instead of parallel worlds.

At concept m, Marketing Science is not a department alongside depth psychology but its systematic extension.

‍One team. One research process. One consistent model, from meaning to number.

01

Qualitative depth logic

We reconstruct psychological structures of meaning: motives, tensions, longings and identity logics as the basis for hypotheses and models.

02

Quantitative operationalisation

Questionnaires, stimulus and study designs are developed across disciplines. Depth psychology and quantitative expertise build the measurement logic together, so that the implicit becomes measurable. With nothing lost in transfer.

03

Behavioral + Data Science

We model drivers, impact relationships and decision logics, and test which variables actually take effect. The result is an evidence-based space for decisions.

Modular,
combinable,
‍integrable.

Every module can be used on its own or as part of an integrated study design.

Meaning & Equity Measurement

Measure the implicit. Model brand strength as a score.
Implicit Measurement
Implicit evaluations, anchors of meaning and unconscious preference patterns.
Brand & Meaning Equity
Psychologically grounded brand strength: identity fit, meaning profile, loyalty and activation.

Communication & Choice Impact

Test creative. Understand drivers. Model decisions.
Communication & Creative Effectiveness
Impact diagnostics for campaigns, claims and visuals: comprehension, resonance, activation.
Decision Drivers & Choice Modeling
Driver analyses, decision logics and purchase probabilities, including contextual logics.

Growth Architecture

Segments and need states. Validate innovation. Quantify journey levers.
Segmentation & Need-State Models
Segmentations that explain behaviour: mindsets, motives, situations, barriers.
Innovation & Concept Validation
Validation of concepts, products and offers, including benefit logic and barriers to acceptance.
Customer Journey & Touchpoint Impact
Impact along the journey: channel contributions, touchpoint quality, conversion drivers.

Revenue Science

Pricing power. Profit optimum. Early warning systems. Advanced analytics.
Pricing Power & Value Architecture
Price psychology and value architecture: willingness to pay, price anchors, price thresholds, pricing strategy.
Demand Curves & Profit Optimization
Price-response models, elasticities, optimisation for revenue and profit, including scenarios.
Implicit Pricing Meter
The unconscious link between price and brand as an indicator of pricing latitude.
Tracking & Early Warning Systems
Continuous monitoring: brand indicators, campaign drift, a radar for risks and opportunities.
Data Science Lab
Structural equation and multilevel models, classification, regression, time series. Always interpreted psychologically.

Data becomes a system.

Our research does not stop at insights. Qualitative and quantitative data form the basis for AI-supported tools: to simulate impact, to test hypotheses faster, to scale decision models. concept m ai is not a separate product universe but an extension module within our research and consulting: human depth expertise leads, AI amplifies.

Get in touch and start your project.