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Testimonials & Case Studies

What decision-makers say about AI market research.

Strategic decisions are lonely. All the more important to hear from others who have already taken the step towards data-driven validation. All quotes are from real mandates, anonymised according to the Lucerne Standard.

Client testimonials from four industries

Data-driven results instead of opinions.

Wealth Management
“The analysis saved us from a misjudgement that would have cost us mandates worth hundreds of millions.”
Head of Client Relations — Established Swiss private bank, >1 Mrd. CHF AuM
R-Score post-pivot8.4

Mandate «The Legacy Bridge»: The simulation with 10,000 synthetic agents validated the teleological substance (P) and minimised structural resistance in the denominator of the resonance equation. Three strategic corrections secured mandate continuity across generations.

Full case study (PDF)
Luxury & Heritage
“We were one board decision away from destroying 140 years of brand equity.”
CEO — Swiss watch manufacture, founded 1884
D-Factor identified9.1

Mandate «The Heritage Rebirth»: The planned rebranding would have weakened brand perception in the core segment by 74%. Our simulation identified the exact dissonance point in the aggregation (Σ Dk) between tradition and modernisation.

Full case study (PDF)
Pharma & Biotech
“41% of our target audience perceived the campaign as technological paternalism. Without the simulation, we would never have known.”
CMO — Swiss biotech, Series C, diagnostics
Ethics resonance post-pivot7.2

Mandate «Project Aeon»: Repositioning the AI diagnostics campaign from a control narrative to an empowerment narrative increased acceptance from 59% to 83%. The resonance analysis showed exactly which formulations triggered resistance.

Full case study (PDF)
Real Estate
“The R-Score of 0.65 was a shock. But it saved us CHF 200 million in misinvestment.”
Project developer — Luxury residence project, Central Switzerland, CHF 200M+
R-Score initial0.65

Mandate «ELYSIUM-ALPS»: The initial R-Score of 0.65 signalled a critical instability in the dissonance aggregation (Σ Dk). Through precise identification of the narrative rupture (D2), we were able to transfer the project into a stable sovereignty space. After repositioning, the R-Score rose to 7.8.

Full case study (PDF)

“Every one of these mandates began with the same question: Does it work? Our job is to provide an honest, data-driven answer.”

Marcel Tobien, Founder SERL Lab

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