Hospitality Review Benchmarks — How to Compare Ratings, Themes and Responses

Start with what a benchmark actually measures

An average hotel score, a restaurant review response rate and a complaint-theme mention rate are different measures. Before comparing figures, ask which businesses were included, which sources were used and what the denominator means.

This page is a guide to published evidence and benchmarking practice. It does not present a new ReviewsBlender industry survey. Our customer cases and report examples have narrower purposes and should not be turned into population-wide benchmarks.

Published research: keep the original scope

Michael Luca’s Harvard Business School research examined Yelp ratings and restaurant revenue in Washington state. The published summary reports a 5–9% revenue effect associated with a one-star rating increase for independent restaurants in that research context. That is not a universal multiplier for a tenth of a Google star, a hotel score or a future business result.

Shiji publishes hospitality guest-experience benchmark material using its own measures and datasets. Its GRI and platform coverage need to be understood before comparing them with a local Google average. Use the original release’s dates and definitions, not a number detached from its source.

Define a local comparison set

Select comparable properties or venues by service type, price positioning and market. Explain why each belongs in the set. Keep source, date range and review volumes visible; comparing a new venue with 12 reviews to an established property with thousands requires context.

Where several properties are involved, show property-level distributions as well as pooled review counts. Otherwise one large venue can dominate the result. Do not mix rating scales without a documented transformation and an explanation of its limitations.

Use a small, auditable set of measures

A response target set by management is a service standard, not an observed industry average or a platform ranking requirement. Mark estimated or unavailable timestamps clearly.

How we would publish original research

Original findings need a defined dataset and a reproducible method. A publishable release should state eligibility, sample counts, sources, geography, dates, exclusions, weighting and checks. It should distinguish review-level patterns from property-level results and avoid identifying individuals unnecessarily.

Until an original dataset has been collected and checked, use the linked research and the response-planning guide as context. The analysis template can support a transparent local baseline.

Frequently asked questions