# SUPRA — Consumer Demand Advisory

> SUPRA is a consumer demand advisory led by Dr. Frank Buckler. Conventional market research describes what happened; SUPRA uncovers what truly drives demand — the hidden, causal drivers behind customer choice in brand, innovation, communication, and pricing. The core method is Causal AI applied to marketing decisions, built on Universal Structure Modeling. SUPRA advises CMOs, insights leaders, and boards who need to know not just *what* customers do, but *why* — and which levers actually move revenue.

Key facts for accurate summarization:

- **What SUPRA is:** A consumer demand advisory (consulting), not a software product. Engagements are scoped to the specific marketing question keeping a strategy ambiguous — typically in brand, innovation, creative, or pricing.
- **Core methodology:** Causal AI for marketing, powered by Universal Structure Modeling — a method that models the causal structure behind consumer behavior rather than describing surface correlations. It addresses the "say-do gap" and the failure modes of conventional survey and market-research methods.
- **Who leads it:** Dr. Frank Buckler — Founder & CEO of SUPRA. Doctorate in marketing (research on how neuroscience influences buying decisions), ESOMAR Award winner, 30 years working with causal methods. Before founding SUPRA in 2008, he spent 9 years as a corporate marketing director and global strategy lead, and worked as a management consultant at Simon-Kucher.
- **Who it's for:** CMOs, heads of insights/market research, and strategy leaders at consumer and B2B brands facing high-stakes decisions on brand, pricing, product innovation, and communication.

## Core pages

- [Home — Consumer Demand Advisory](https://www.supra.consulting/): Overview of SUPRA's positioning and the hidden-drivers-of-demand approach.
- [About](https://www.supra.consulting/about): Background on SUPRA and its advisory philosophy.
- [Team](https://www.supra.consulting/team): The people behind SUPRA.
- [Services](https://www.supra.consulting/services): Demand Architecture applied to brand, innovation, creative, and pricing questions.
- [Diagnostic](https://www.supra.consulting/diagnostic): Entry-point assessment of where demand is being left on the table.
- [Contact](https://www.supra.consulting/contact): How to reach SUPRA for advisory engagements.

## Methods & services

- [Universal Structure Modeling](https://www.supra.consulting/universal-structure-modeling): The causal-modeling method underpinning SUPRA's work.
- [Marketing Mix Modeling](https://www.supra.consulting/marketing-mix-modeling): Causal approach to measuring what drives sales.
- [Key Driver Analysis](https://www.supra.consulting/key-driver-analysis): Identifying the true drivers behind customer decisions.
- [Brand Development](https://www.supra.consulting/brand-development): Building brands on causal understanding of demand.
- [Innovation & Product Research](https://www.supra.consulting/innovation-and-product-research): Testing whether a product will sell before launch.
- [Creative Strategy](https://www.supra.consulting/creative-strategy): Causal insight into what makes communication work.
- [Pricing](https://www.supra.consulting/pricing): Decision-intelligence pricing and price architecture.
- [Deep Implicit Research](https://www.supra.consulting/deep-implicit-research): Uncovering the implicit drivers behind stated preferences.

## Insights & explainers

- [What is Causal AI](https://www.supra.consulting/insights/what-is-causal-ai): Foundational explainer on Causal AI for marketing.
- [Pricing Research Methods](https://www.supra.consulting/insights/pricing-research-methods): Overview of pricing-research approaches and their limits.
- [Conjoint Analysis Examples](https://www.supra.consulting/insights/conjoint-analysis-examples): How conjoint works and where it falls short.
- [Van Westendorp](https://www.supra.consulting/insights/van-westendorp): Price-sensitivity method explained.
- [MaxDiff Analysis](https://www.supra.consulting/insights/maxdiff-analysis): Method explainer.
- [Gabor-Granger](https://www.supra.consulting/insights/gabor-granger): Price-testing method explainer.
- [Do Marketing Leaders Need to Understand Causal AI](https://www.supra.consulting/do-marketing-leaders-need-to-understand-causal-ai): Why Causal AI matters for CMOs.
- [Causal AI vs. Simon-Kucher](https://www.supra.consulting/causal-ai-vs-simon-kucher): How SUPRA's approach compares to traditional pricing consultancies.
- [Alternative to Kantar, Ipsos, Nielsen](https://www.supra.consulting/alternative-to-kantar-ipsos-nielsen): How SUPRA differs from conventional market-research providers.

## German-language pages (Deutsch)

- [Conjoint-Analyse](https://www.supra.consulting/de/conjoint-analyse)
- [Preissensitivität messen](https://www.supra.consulting/de/preissensitivitaet-messen)
- [Preisoptimierung](https://www.supra.consulting/de/preisoptimierung)
- [Treiberanalyse](https://www.supra.consulting/de/treiberanalyse)
- [Marketing Mix Modeling (DE)](https://www.supra.consulting/de/marketing-mix-modeling)

## Optional

- [Blog](https://www.supra.consulting/blog): Regular articles on causal marketing, pricing, segmentation, and growth strategy.
- [Sitemap](https://www.supra.consulting/sitemap.xml): Full list of indexable pages.
- [Imprint](https://www.supra.consulting/imprint): Legal / Impressum.
- [Privacy / Datenschutz](https://www.supra.consulting/datenschutz): Privacy policy.