Revenue management
Revenue management directs the flow of incoming revenue rather than managing existing funds — setting the pricing and controls that optimize earnings from your asset. Revenue is the downstream output we evaluate to judge whether prices are set correctly.
The revenue manager
The role has evolved. Entry-level revenue managers often do data-analyst work, structuring datasets and learning statistical forecasting; with experience they manage rates and controls — a high-stakes job, since pricing errors are costly. The airline industry once put the training cost of a new revenue manager near $1,000,000.
Manager + software
Today the strongest approach pairs human expertise with software. Software can’t replicate human judgment about real-world context — major events and holidays that models struggle to detect, or coming regulatory and market shifts. But most managers now spend their time evaluating model outputs and adjusting them with overrides, multipliers, and additions — tedious, time-consuming work whether in STR, airlines, or hotels.
Fixing the input, not the output
Quibble proposes a different path. Optimization models might need ~10% of prices adjusted and base-price models 30–40%, but overriding prices only masks the underlying problem. The goal is a model that handles 99% of pricing without intervention — achieved by understanding and improving the inputs rather than repeatedly overriding outputs.
The revenue scientist
The revenue scientist overlaps with the traditional role but diverges in execution: evaluating output still matters, but direct overrides are the last resort. When pricing errors occur, they investigate the model and its data inputs to find the root cause — recognizing, say, that a given amenity affects booking probability differently across regions and warrants a regional model variation. As models mature and analyst work automates, the role shifts from examining prices before adjusting prices to examining prices before deciding what model changes are needed. The vacation-rental market’s very fragmentation and diversity make this technical challenge harder than standardized hotel rooms — and a bigger opportunity.