Robert Hayes on the Science of Modern Revenue Management

Robert Hayes spent fifteen years as a revenue management director for major hotel groups before founding a consultancy that has now advised over two hundred properties across Europe and North America. His perspective on revenue management combines analytical rigour with an operational realism that is rare in the field.

We open by discussing how Robert thinks about the fundamental mission of revenue management, which he defines not as maximising rate but as maximising the long-term value of the guest relationship. This framing, he argues, changes the decisions you make: a rate decision that optimises revenue tonight but damages a relationship has a negative expected value over time, even if the revenue management software does not capture it. Total revenue optimisation requires treating rooms, F&B, spa, and ancillary revenue not as separate lines but as an interconnected system driven by guest lifetime value.

Robert walks us through the evolution of demand forecasting, from the spreadsheet-based models of the early 2000s to the machine learning systems now operating at the most sophisticated properties. He is candid about what these systems can and cannot do: they are extraordinarily good at pattern recognition in stable environments and meaningfully less reliable when demand is disrupted by events outside their training data. Revenue managers who understand these limitations are the ones adding the most value in 2026, using AI-powered tools as a foundation and applying human judgment on top, rather than deferring to algorithmic outputs uncritically.

The conversation explores the organisational dimension of revenue management, specifically the challenge of integrating revenue thinking across a hotel's commercial functions. The properties performing best are those that have broken down the silos between rooms, F&B, spa, and events, creating what Robert calls a revenue management culture rather than a revenue management department. This requires investment in data infrastructure, in shared metrics, and in leadership that can communicate revenue strategy in terms that resonate across disciplines. A property management system that cannot share data with the POS and spa booking platform is not just an operational inconvenience. It is a strategic constraint on total revenue performance.

We spend time on the channel strategy question, the complex calculus of OTA relationships, direct booking investment, and the emerging role of metasearch and loyalty programmes in shaping channel mix. Robert has strong, data-grounded views on where hotels should be investing in 2026. His argument is that the commission savings from direct bookings are only half the story. The data advantage of a direct relationship, the ability to build a genuine guest profile that persists across stays, is worth far more over time than any single commission point recovered.

The episode closes with Robert's prediction for the single most significant development in revenue management over the next three years, an answer that surprised us and will likely challenge assumptions across the industry. His view connects data analytics for hotels with the broader shift toward total revenue management, and it points toward a future where the best-performing properties are those with the most disciplined data governance and the clearest strategic thinking about guest relationship value.