What is a hotel compset?
A competitive set is a short list of properties chosen because they compete for similar guests. Location, standard, amenities, room type and reputation can all matter. A traditional rate shopper follows these named properties across future dates and sometimes across several channels.
A compset answers a focused question: how are the hotels I watch pricing this stay night? Its value depends on the quality of the selection and on comparing equivalent offers.
What is a citywide benchmark?
A citywide benchmark starts with the search market rather than a hand-picked list. Bed&Market collects the public asking prices returned for the city and summarizes the distribution with a median, percentile bands and sample counts.
This view answers a broader question: where does the accommodation market sit for this night, and which dates look unusual across the wider supply?
The differences at a glance
| Question | Selected compset | Citywide benchmark |
|---|---|---|
| Who is included? | Named similar properties | The wider returned city market |
| Best for | Close rival tracking | Market position and unusual dates |
| Main strength | Specificity | Breadth and distribution |
| Main blind spot | Selection can miss wider shifts | Mix includes unlike properties |
| Bed&Market output | Not the core view | Median, ranges, sample and scan date |
Where a small compset can mislead
Five similar hotels may move together because they copy one another, share the same segment or face the same restrictions. That does not always describe the rest of the city. A selected property may also sell out and disappear from a simple price comparison.
A compset is still valuable. The risk comes from treating it as the whole market rather than one deliberate slice of it.
Where the citywide view needs caution
A whole-city distribution mixes different standards, locations and property types. The median is context, not the correct rate for your room. A luxury suite should not be priced by blindly copying a city midpoint.
Use district, star, guest-score and property-type context where the sample supports it. Then combine the market view with your own bookings, room characteristics and strategy.
How to use both views
Start with the city curve to find a date that stands out. Check the sample, measurement date and nearby weekday class. Then open your closest rivals and compare equivalent room and rate conditions.
If both views point in the same direction, you have stronger evidence. If they disagree, investigate the mix rather than averaging the answers into a false certainty.