Total Reviews
74,896
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Booking review analytics · hotel operations
What Guest Reviews Say About Da Nang Hotels
We analyzed Booking.com reviews and grouped hotels into segments (groups with similar guest feedback patterns). This helps hotel teams see what to fix first without reading thousands of comments manually.
Review source
Booking.com guest reviews
Project Snapshot
What This Project Does
This page summarizes findings from real Booking review text. Segment results are used for planning service priorities, while illustrative views are used only to explain decisions.
Hotels Covered
458 hotels
Guest Segments
10 segments
Evidence Tier
Reported
Quick Start
New Here? Read This First
This page turns a large set of guest comments into practical hotel action priorities. You do not need a statistics background to read it.
What was analyzed
Reviews from 458 hotels
The dataset includes 74,896 Booking.com reviews from Da Nang hotels between 27 Nov 2022 and 27 Jan 2026.
How to read the figures
Reported vs illustrative
Use reported figures for decisions. Treat illustrative figures as communication aids that explain logic and sequencing.
Decision output
Find the first problems to fix
Focus on repeated pain points across segments to prioritize service improvements with the clearest guest impact.
Industry Intelligence · Updated February 2026
Market Context: Why These Segment Results Matter Now
This market snapshot adds context to the segment findings using current global and local tourism signals. It helps teams choose priorities that are relevant to both demand growth and operating pressure.
Global International Arrivals (2024)
1.4B
UN Tourism reports the market returned to roughly 99% of pre-2019 levels.
International Arrivals (Q1 2025)
300M
Momentum remained positive at +5% year-over-year in early 2025.
Global Room-Night Demand (2024)
4.8B
JLL estimates demand rose by 102 million room nights from 2023.
Hotel Investment Volume (2024)
$57.3B
Global hotel transactions increased around 7% and liquidity improved.
Da Nang 2025 Visitor Plan
11.9M
Local target includes 4.8 million international overnight visitors.
Signal Board (2024-2026)
Global recovery vs 2019 baseline99%
Q1 2025 arrivals growth (YoY)+5%
2024 global RevPAR growth+4%
2025 investment outlook expansion+15-25%
Da Nang overnight visitor growth target+9%
Bar lengths are normalized for visual scanning and should not be read as directly proportional across unlike metrics.
What This Means for Hotel Operations
Speed wins conversion
In high-growth windows, service-lag penalties rise quickly. Segment playbooks should prioritize response and turnaround metrics.
Capital is returning
Improving transaction liquidity supports selective upgrades. Target capex on pain points with both high volume and high severity.
Margin discipline still matters
PwC's U.S. 2026 view points to a moderate cycle (occupancy around 62%, RevPAR +0.9%), so pricing and service quality must move together.
Method Overview
Simple Workflow
Step 1
Collect reviews
Gather and clean Booking review text so the dataset is consistent.
Step 2
Extract experience topics
Identify key topics such as room, service, location, and cleanliness.
Step 3
Group similar hotels
Use two grouping models (K-means and GMM) and keep patterns that stay consistent.
Step 4
Validate quality
Confirm that segment groups are clearly separated and stable.
Step 5
Turn insights into actions
Translate the segment patterns into service, pricing, and upgrade priorities.
Figures
How to Read the Figures
A. Market overview
Start here to see review volume trends and the baseline segment mix.
B. Segment separation check
This chart checks whether segment groups are distinct enough to use in planning.
C. Pain-point priorities
This layer highlights where guest pain points concentrate. The second map is illustrative and used for communication only.
Research Takeaways
Main Takeaways
Across 74,896 Booking reviews from 458 Da Nang hotels, guest dissatisfaction clusters in a few repeatable operational issues rather than being evenly spread across all service attributes.
Use reported diagnostics (segment share, separation check, and the pain-point heatmap) for decisions. Use illustrative maps only to explain the reasoning to stakeholders.
Evidence base
Large Coverage, Local Scope
The study covers 10 guest segments in one market and one review window (27 Nov 2022 to 27 Jan 2026), which is strong for local planning.
Priority signals
Top Friction Concentrates in Three Areas
The strongest repeated issues are service response lag, room consistency gaps, and arrival or checkout friction.
Interpretation rule
Use Reported Figures for Decisions
Operational choices should rely on reported evidence layers, while illustrative visuals are best used to explain sequencing and align stakeholders.