Review Performance Index (RPI)

Measuring reputation beyond review scores.

The Review Performance Index (RPI) is DATAFQ’s proprietary methodology for measuring customer experience performance by combining numerical review ratings with customer sentiment. By integrating both dimensions, the RPI provides a more comprehensive view of reputation performance than ratings alone.

Moreover, the methodology has been developed through years of industry experience and the analysis of billions of customer reviews across multiple sectors and markets. As a result, organizations gain deeper insights into how customers truly perceive their products, services, or destinations.

Consequently, leaders can identify hidden strengths, uncover areas for improvement, and make more informed decisions based on a complete picture of customer experience performance.

Why Traditional Ratings Are Not Enough

A property with a rating of 4.4 may outperform a property with a rating of 4.6 when customer sentiment, consistency and experience quality are taken into account. The RPI was developed to bridge the gap between what customers score and what customers actually say.

How the RPI Works

The RPI combines:

Review Ratings
Customer Sentiment
Review Volume
Review Consistency
Competitive Benchmarking

Into a single performance framework that enables organizations to benchmark assets, destinations and brands more accurately.

Built on Experience and Research

The RPI is part of DATAFQ’s methodology framework, developed by industry practitioners, researchers and authors with decades of experience in reputation intelligence, customer analytics and hospitality technology.

The methodology is supported by:

20+ years of industry experience
Billions of reviews analyzed
Academic research and validation
Real-world application across hospitality, tourism and travel

Available Through…

Organisations can access RPI data directly through the DATAFQ API or Dashboard. As a result, the data can be seamlessly integrated into existing dashboards, BI environments, benchmarking platforms, and customer intelligence solutions.

Moreover, organizations can combine RPI insights with their own operational and performance data to create a more complete view of customer experience and reputation. In addition, the flexible integration options make it easy to embed reputation intelligence into existing workflows and decision-making processes.

Consequently, teams can monitor performance more effectively, identify opportunities faster, and make data-driven decisions with greater confidence.

Part of the DATAFQ Methodology Framework

Together with the Asset Value Index (AVI) and Guest Experience Index (GEI co created with dr. Wouter Hensens), the Review Performance Index helps organisations measure reputation, customer experience and value creation through a consistent and transparent methodology.

Together, these methodologies help organizations move beyond traditional review scores by providing a more comprehensive understanding of performance, reputation and value creation. Developed through years of industry experience, academic research and practical application, they form the foundation of DATAFQ's approach to reputation intelligence and customer analytics.