Objective:
The core objective of this methodology is to deliver an independent, data-driven ranking of hotels in the Indonesia region, leveraging only statistically validated guest feedback. Each property is benchmarked against regional minimum and maximum performance to clearly position it within the competitive landscape. This approach relies on a significant volume of verified customer reviews, so even outstanding but very exclusive hotels may score lower—or be excluded—if their review base is too limited. This trade-off is intentional and highlights our commitment to measurable, scalable, and transparent guest validation across the market.

Ranking Index Scale (0 – 999):
Hotels are assigned a final score on the Ranking Index from 0 (minimum regional performance) to 999 (best-in-class). A higher index score indicates a stronger market position and higher performance under this model.

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

Key Methodological Components:

• Multi-Platform Rating Aggregation: Consolidates and normalizes scores from multiple platforms to minimize single-source bias and present a holistic view of guest sentiment.
• Sample-Size Confidence: Bayesian adjustments increase the impact of properties with 100+ verified reviews, ensuring ratings are reliable and statistically sound.
• Rating Stability Factor: Hotels with consistently high guest scores receive a positive adjustment, reflecting operational excellence and consistency in service delivery.
• Cross-Source Consistency: Minimal variance across platforms is rewarded, indicating a stable and trustworthy brand reputation in the market.
• Regional Benchmarking: All metrics are recalibrated between observed regional minimum and maximum values before weighting, ensuring that only genuine outperformance is recognized.

Weighting of Ranking Factors

This methodology empowers decision-makers with a transparent, actionable, and standardized 0-to-999 scoring system. By recognizing hotels that consistently deliver guest satisfaction at scale, and clearly identifying competitive strengths, the model provides valuable market intelligence for both hospitality leaders and consumers—while also openly acknowledging the data requirements that highly exclusive properties may not always meet.