A hotel Revenue Management System (RMS) is designed to help you sell the right room, to the right guest, at the right price. But what happens when your hotel RMS consistently recommends room rates that seem too low?
For many hotels, the problem isn't necessarily the revenue management software itself. It's the data, rules, competitive set, and assumptions the system uses to make pricing decisions.
When those inputs don't accurately reflect your hotel's demand or market position, even a sophisticated RMS can leave significant revenue on the table.
Most hotel revenue management systems use historical performance to help forecast future demand.
But if your hotel was historically underpriced, your RMS may learn from those lower rates.
For example, if your hotel consistently sold rooms for $180 when guests may have been willing to pay $220, historical data can reinforce a pricing strategy that undervalues your inventory.
Renovations, better reviews, new amenities, improved service, changes in your competitive set, and stronger local demand can also increase your hotel's pricing power.
Your hotel today may simply be worth more than the hotel represented by last year's data.
Competitor pricing is an important part of hotel revenue management, but only when you're comparing your property with the right hotels.
Your hotel shouldn't automatically lower room rates simply because another property nearby is cheaper.
Location, room quality, amenities, brand reputation, guest reviews, property condition, and target customers all influence what guests are willing to pay.
If your RMS gives too much weight to lower positioned competitors, their pricing decisions can indirectly pull your rates down.
A strong hotel pricing strategy requires understanding where your property actually sits within the market, not simply matching nearby rates.
Low occupancy doesn't always mean your hotel rates are too high.
Imagine your property is at 45% occupancy three weeks before arrival. Your RMS might respond by lowering rates to stimulate bookings.
But what if most bookings in your market occur within the final 10 days before arrival?
Reducing rates too early could mean selling inventory cheaply to guests who would have booked anyway, leaving fewer rooms available for higher paying guests closer to the arrival date.
Understanding booking pace, pickup, booking windows, and market demand is essential to maximizing hotel revenue.
A hotel RMS operates within the parameters and restrictions it has been given.
Minimum rates, maximum rates, occupancy thresholds, room type differentials, competitor weighting, and other pricing rules can significantly affect its recommendations.
If those settings were established during a weaker market, they may no longer reflect current demand.
In that situation, your RMS might be working exactly as configured while still producing the wrong pricing strategy for your hotel today.
A full hotel isn't automatically a profitable hotel.
Consider two 100 room properties:
Hotel A: 95 rooms × $150 ADR = $14,250 in room revenue
Hotel B: 80 rooms × $190 ADR = $15,200 in room revenue
Hotel B sold 15 fewer rooms but generated $950 more in room revenue.
It may also experience lower variable operating expenses because fewer occupied rooms require housekeeping, utilities, amenities, and other services.
Occupancy is important, but your hotel revenue strategy should focus on the relationship between occupancy, ADR, RevPAR, and profitability rather than simply filling every available room.
Concerts, conventions, sporting events, festivals, weddings, corporate meetings, and other local events can dramatically increase hotel demand.
If your RMS doesn't recognize the magnitude of an upcoming event early enough, it may continue pricing rooms as though the date were ordinary.
By the time the system detects unusually strong booking activity, a large portion of your inventory may already have been sold below its potential value.
Effective hotel revenue management requires looking forward, not simply reacting to demand after bookings arrive.
The answer isn't abandoning hotel revenue management technology.
Instead, make sure your RMS is working alongside a strong revenue strategy.
Start by reviewing your competitive set and determining whether those properties truly compete for the same guests.
Analyze historical pricing, booking windows, pickup patterns, market demand, and dates when your hotel reached high occupancy unusually early.
Pay particular attention to dates that sell quickly.
Selling out isn't always a victory.
If your hotel consistently sells out far in advance, it can indicate that room rates were too low and additional ADR could have been captured.
Hotels should also review upcoming events, monitor changes in market demand, and compare RMS recommendations against real world market conditions.
Finally, establish appropriate pricing floors and strategic guardrails so your RMS doesn't chase occupancy at the expense of ADR, RevPAR, and overall profitability.
Revenue management technology can analyze enormous amounts of data faster than any individual revenue manager.
But technology still needs the right data, configuration, oversight, and strategy behind it.
The objective isn't simply to make your RMS increase room rates.
It's to identify when guests are willing to pay more and make sure your hotel captures that demand.
At RevOptimum, we help hotels uncover revenue opportunities that automated systems can miss, refine hotel pricing strategies, and ensure revenue management technology is supporting the property's full revenue potential rather than limiting it.
Because successful hotel revenue management isn't just about selling more rooms.
It's about selling the right room, to the right guest, at the right price.