Revenue managers face hard time constraints: a single property has up to 365 days of future availability, so across a large portfolio you have to prioritize which properties and periods deserve attention to maximize impact.
Manage what’s empty
The simplest approach targets the lowest-occupancy properties. It prevents vacancies but is reactive and ignores the forecast — a ski property with one week left and few bookings may hold little opportunity, while a city-center listing still climbing its demand curve has plenty, even if occupancy looks equally weak.
Use a forecast curve
Forecast curves visualize expected future activity across seasons, cities, neighborhoods, and properties, revealing which listings diverge from expectation. Curves are built on seasonal and regional bases, assigned to properties, and update continuously as reservations land — properties running above forecast need a price increase before inventory sells out at a discount.
The timing of the pricing adjustments is critical. The sooner a manager can find the properties diverging from the curve, the quicker they can adjust.
The Revenue Opportunity Model (ROM)
Strong revenue management prioritizes revenue, not occupancy. ROM estimates earning potential by comparing a property against peer benchmarks and calculating the revenue gap — how much more it could earn. It works at the property/month level, aggregates by city or state for large portfolios, and tracks daily at-risk revenue with feedback on capture rates.
A good revenue manager is not an occupancy maximizer; they are a revenue maximizer.
Strategic daily planning is what separates effective revenue managers from reactive ones — and ROM, available in Quibble’s free analytics tier, is an advance in how to prioritize.