Objective:
The purpose of this methodology is to establish an independent, evidence-based ranking of hotels in the USA region, relying solely on statistically validated guest feedback. Each hotel is assessed relative to regional minimum and maximum values to accurately determine its competitive position. Since this analysis requires a substantial volume of verified customer reviews, even exceptionally high-quality but highly exclusive hotels with limited feedback may receive lower scores or be excluded due to insufficient data. This approach is intentional and reinforces our commitment to broad, measurable, and reliable customer validation.

Ranking Index Scale (0 – 999):
The Ranking Index assigns each hotel a score from 0 (lowest regional performance) to 999 (best-in-class). A higher score reflects a stronger market position based on our analytical framework.

Data Sources:
Booking.com, TripAdvisor, Google Reviews, Expedia, Hotels.com, Trip.com

Key Methodological Components:

• Multi-Platform Rating Aggregation: Integrates and standardizes scores from all major platforms, minimizing bias from individual sources and ensuring a comprehensive assessment.
• Sample-Size Confidence: Bayesian adjustments increase the impact of hotels with 100+ verified reviews and reduce volatility for properties with lower review counts.
• Rating Stability Factor: Hotels with consistent guest feedback—indicated by lower standard deviation—receive a positive adjustment for dependable performance.
• Cross-Source Consistency: Minimal variance across platforms is rewarded, highlighting a stable and trustworthy reputation.
• Regional Benchmarking: All performance metrics are normalized between the observed regional minimum and maximum, ensuring that only genuine outperformance is recognized.

Weighting of Ranking Factors

By combining rigorous regional benchmarks with property-level analytics, this methodology provides a clear, standardized 0-to-999 scale. The system highlights hotels with strong guest satisfaction, meaningful review volumes, and demonstrated market leadership—while also making transparent the data requirements that some exclusive properties may not meet.