Institutional-grade data collection, validation, and analysis standards that power Switzerland's most trusted retail intelligence platform.
Deep Dives are comprehensive property-level analyses of Switzerland's most valuable high-street retail corridors. Unlike traditional market reports that focus on aggregate statistics, our Deep Dives provide granular, asset-by-asset intelligence covering ownership structures, tenant histories, valuation trends, and market dynamics.
Each Deep Dive represents months of primary research, combining on-the-ground fieldwork, public records analysis, industry interviews, and proprietary valuation models. The result is an institutional-grade dataset that enables investors, family offices, and advisors to make informed decisions about portfolio allocation, acquisition targets, and market positioning.
Our research team conducts systematic on-site surveys of every property along target high-streets. We document tenant occupancy, storefront characteristics, property boundaries, and observable market activity. This fieldwork is supplemented by photographic documentation and GPS-tagged mapping data.
We extract ownership data from Swiss land registries (Grundbuch), commercial registers, and transaction databases. Historical ownership changes are tracked to identify institutional investors, family offices, and corporate landlords. Property valuations are cross-referenced with recent transaction comparables and assessed values.
We maintain a longitudinal database of tenant changes dating back to 2012. Brand entries, exits, relocations, and expansions are documented with precise dates. Tenant categorization (Luxury, Premium, Fast Fashion, etc.) follows industry-standard classifications and is validated against parent company structures.
Property valuations are estimated using a combination of comparable transaction analysis, income capitalization models, and market rent benchmarks. We apply location-specific cap rates and adjust for property-specific factors such as tenant quality, lease terms, and physical condition. Valuation ranges reflect market uncertainty and data availability.
All data points undergo multi-stage validation. Ownership records are cross-checked against multiple sources. Tenant information is verified through brand websites, social media, and industry contacts. Valuation estimates are peer-reviewed by independent real estate professionals. Any discrepancies trigger additional research cycles.
Our database is updated quarterly through systematic re-surveys and transaction monitoring. Major tenant changes, ownership transfers, and valuation shifts are captured in real-time. Subscribers receive notifications of material changes affecting properties in their portfolios or target markets.
Ownership Accuracy: 95%+ verified through official land registry records. Unverified ownership is clearly flagged.
Tenant Accuracy: 98%+ current occupancy verified through on-site surveys within 90 days of publication.
Valuation Confidence: Ranges reflect 80% confidence intervals based on comparable transaction analysis and expert appraisal.
Historical Data: Tenant histories validated against archived records, brand announcements, and industry sources dating back to 2012.
Update Frequency: Quarterly re-surveys for active markets; annual updates for stable corridors; real-time alerts for major transactions.
Real-world examples of our research methodology in action
Switzerland's most valuable retail corridor analyzed at property level
Our Bahnhofstrasse Deep Dive demonstrates the full depth of our property-level research methodology. For each of the 86 properties along Zürich's premier shopping street, we documented:
Comprehensive market-wide intelligence across Switzerland's retail landscape
The Swiss Retail Report showcases our market-wide research capabilities, providing a comprehensive overview of Switzerland's retail landscape. This annual publication includes:
We're happy to discuss our research process, data sources, and quality assurance standards in detail.