There’s nothing wrong with watching your comp set. In fact, competitive pricing intelligence is an important part of hotel revenue management. Knowing where your rates sit in the market helps provide context, identify opportunities, and avoid becoming disconnected from local conditions.
The problem starts when comp set pricing stops being a reference point and becomes the strategy itself.
Too often, hotels fall into a cycle where pricing decisions are driven almost entirely by what competitors are doing at that moment. One hotel adjusts rates, another reacts, a third follows, and before long the market begins moving without anyone stopping to ask a simple question:
Why?
This is where competitive pricing can quietly turn into competitive guessing.
The assumption behind reactive pricing is that competitors know something you don’t. If another hotel raises rates, many assume demand is strengthening or compression is building. If another hotel lowers rates, the assumption shifts toward softening demand or slower pickup.
But what if neither assumption is correct?
What if the hotel raising rates is simply reacting to another competitor? What if they are testing price tolerance without strong booking data behind it? What if ownership pushed for more aggressive ADR goals? On the other hand, what if a hotel lowers rates in response to the pace, to manage cash flow concerns, or simply to chase occupancy without a clear strategy?
Or perhaps they are watching your rates just as closely and reacting to you.
At some point, the entire process starts to resemble circular logic. Everyone is watching everyone else, adjusting rates in response to each other’s movements, while fewer decisions are grounded in actual demand forecasting. Markets can begin drifting upward or downward without a clear connection to true demand conditions.
The danger in this approach is that it assumes competitor pricing is inherently intelligent.
Sometimes it is. Sometimes it absolutely is not.
A hotel could be under renovation or have just landed airline crew business, shrinking its inventory. They may have pickup concerns tied to a group block and decide they need to price aggressively to pick up rooms quickly. They may be pushing rate because ownership wants stronger ADR performance. Another hotel may be discounting because they are behind budget and trying to stimulate occupancy quickly. An automated system may be overreacting to limited data inputs. An inexperienced manager may simply be following what others are doing. Any number of things could be happening at any time.
Yet those pricing decisions often ripple through the market anyway. This creates risk in both directions.
When hotels lower rates unnecessarily, they can erode ADR, dilute higher-rated demand, and create pricing expectations that become difficult to reverse. Markets can end up discounting simply because no one wants to be the last hotel holding the rate, even when underlying demand remains healthy.
But the opposite can also happen. Hotels can collectively push rates too aggressively based on perceived compression that never fully materializes (FIFA World Cup sound familiar?). In those situations, properties may overestimate price tolerance, lose booking momentum, shorten booking windows, and create avoidable occupancy gaps that become harder to recover closer to arrival.
In both cases, pricing decisions become reactive instead of strategic.
Hotels also risk ignoring their own performance signals in favor of external noise.
A property may have healthy pacing, strong compression indicators, favorable booking windows, and solid transient demand, but still lower rates simply because competitors did. Another hotel may have weak pace and soft forward-demand, but continues pushing rates upward because the comp set moved higher.
Neither decision is necessarily rooted in the hotel’s actual business conditions. Not every hotel should be priced the same way, even within the same comp set.
Two neighboring hotels may have entirely different demand patterns, segmentation mixes, loyalty contribution, group exposure, inventory constraints, or renovation impacts. One may need occupancy. Another may need rate. One may have stronger direct-channel demand, while another depends heavily on OTAs. Looking only at competitor pricing oversimplifies a far more nuanced reality.
Strong revenue management starts with understanding your own demand first.
Forecasting should inform pricing decisions, not create competitor anxiety.
That means evaluating pace, pickup trends, unconstrained demand, historical patterns, event calendars, market compression, shoulder-night behavior, booking windows, and channel performance before making pricing adjustments. Competitor pricing absolutely matters, but it should support the strategy rather than dictate it.
The best revenue managers are not blindly reactive to the market. They understand when to follow pricing trends, when to hold rate, and when to lead. Sometimes maintaining rate discipline while competitors discount is the correct move. Other times, resisting aggressive market-wide rate increases is equally important.
The difference is that those decisions should be rooted in forecasted demand and strategic intent, not fear of being priced differently from the hotel across the street.
Comp set data is valuable. But it is still just one piece of the picture.
Hotels that rely too heavily on competitor pricing risk outsourcing their strategy to people they may never have met, whose business realities they don’t understand, and who may very well be guessing.
In hotel revenue management, competitive awareness is essential. Competitive dependency is dangerous.