Objective:
Our main goal is to create an independent, evidence-based ranking of hotels in the Thailand region, based only on guest feedback that has been checked using statistical methods. Each hotel is compared to the regional minimum and maximum values to show its true place among local competitors. Because our system depends on a large number of verified guest reviews, even excellent but very exclusive hotels with fewer guests may score lower or not appear in the ranking simply because there isn't enough data. This is a conscious choice and shows our focus on broad, reliable guest feedback.

Ranking Index Scale (0 – 999):
The Ranking Index gives hotels a score from 0 (the lowest in the region) to 999 (the best). Higher scores show stronger positions in our ranking system.

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

Key Methodological Components:

• Multi-Platform Rating Aggregation: Collects and adjusts scores from all platforms to avoid bias from any one source.
• Sample-Size Confidence: Hotels with 100+ verified reviews count more, while those with fewer reviews have less influence on the final ranking.
• Rating Stability Factor: Hotels with consistent (low variation) guest scores get a bonus for their stability.
• Cross-Source Consistency: When a hotel’s ratings are similar across different sites, that consistency is rewarded, showing trustworthiness.
• Regional Benchmarking: All scores are recalculated between the region's minimum and maximum, so only real outperformance is highlighted.

Weighting of Ranking Factors

This ranking approach uses local benchmarks and hotel statistics to create a clear 0-to-999 scale. The methodology helps highlight hotels with strong guest satisfaction and enough reviews, while also noting that some exclusive properties may not be included due to limited data.