In the dynamic world of hospitality, where every decision influences the bottom line, comp sets—or competitor sets—play a pivotal role in benchmarking and profit intelligence. The right comp set doesn’t just offer data; it delivers context, enabling hotel operators to make informed decisions that optimize operations and boost profitability.
Why Comp Sets Matter
At its core, a comp set is a curated group of hotels considered direct competitors to your property. The value of benchmarking hinges on selecting the right properties for comparison. A well-defined comp set:
Without the right comp set, data can mislead rather than guide. For instance, comparing a boutique property to a luxury resort in a different market segment would yield skewed insights, hindering strategic growth.
The Dimensions of an Effective Comp Set
Building a comp set involves balancing two critical dimensions: similarity and competition. These dimensions ensure that comparisons are both relevant and meaningful.
Similarity: Finding Comparable Hotels
The foundation of any comp set is similarity. Hotels in the same comp set should share key characteristics, such as:
For example, if your hotel features a renowned spa, including properties with similar wellness offerings provides actionable insights. When perfect matches aren’t available, flexibility is crucial—consider secondary sets for specialized attributes like banquet revenues or F&B performance.
Competition: Seeing Through the Guest’s Perspective
Similarity defines operational traits, but competition captures market dynamics. Competition is fluid, influenced by:
For example, during a city’s conference season, your hotel might compete with larger business-oriented properties. Off-season, you might focus on boutique competitors catering to transient leisure travelers.
Internal vs. External Comp Sets
A robust benchmarking strategy often involves both internal and external comp sets:
Best Practices for Comp Set Formation
Creating an effective comp set isn’t a one-time task. Market conditions, renovations, and rebranding efforts continuously reshape the competitive landscape. Regular reassessment ensures relevance and accuracy. HotStats’ can simplify this process by providing tailored support for defining and maintaining comp sets.
Key guidelines for forming external comp sets with HotStats include:
Operational Benchmarking Shedding Light on Efficiency Gains
Operational benchmarking provides valuable insights for hoteliers by enabling a granular comparison of key performance indicators (KPIs) across properties. Beyond traditional metrics like RevPAR and occupancy, advanced benchmarking focuses on departmental performance, profitability, and cost controls, offering a clearer picture of operational efficiency.
One Size Does Not Fit All: Customizing Comp Sets for Operational Departments
While a single comp set can provide valuable high-level benchmarking, it’s important to recognize that operational departments within a hotel often have distinct needs and priorities. A one-size-fits-all comp set may overlook these nuances, limiting its utility for specific departmental benchmarking.
Hotels can—and should—select different comp sets tailored to individual operational areas. For example:
Food & Beverage (F&B): When analyzing F&B performance, a hotel might choose competitors with similar restaurant concepts, banquet facilities, or menu pricing strategies, in totally different geographic locations and regardless of broader market differences.
Spa and Wellness: For properties with a spa, the comp set might focus on facilities that attract a similar wellness clientele, even if these competitors vary in other areas such as location or guest segmentation.
Conference and Banqueting: For properties targeting corporate events, comparing venues with comparable meeting space capacities and AV amenities is critical.
Rooms Division: Metrics like labor costs and utilities may warrant comparison against properties with similar room layouts, HVAC systems, or operational footprints.
Tailoring comp sets to these departmental needs allows hoteliers to extract more granular insights. For example, a hotel may outperform its overall comp set in GOPPAR but underperform in F&B profitability. By creating a specialized comp set, the hotel can identify more precise areas for improvement and strategize effectively.
The flexibility to define multiple comp sets ensures that every department benefits from relevant benchmarking. HotStats make it easier to manage these tailored sets, enabling operators to focus on actionable intelligence rather than manual data manipulation.
With this tailored approach, hotels can uncover more meaningful insights, such as the following examples of how operational benchmarking reveals efficiency gains.
For example, comparing food and beverage costs as a percentage of revenue across similar properties can reveal opportunities for cost optimization. Identifying these insights helps hotel operators take actionable steps toward improved profitability.
HotStats’ platform supports these benchmarking efforts by providing detailed operational data, enabling hotels to drill down into their performance metrics and uncover trends that might otherwise go unnoticed. For example:
Consider this scenario: A boutique hotel’s utility costs are 25% higher than its comp set average. By benchmarking with HotStats, the hotel identifies outdated HVAC systems as the culprit. Upgrading to energy-efficient solutions not only reduces costs but also aligns with sustainability goals.
Empowering Hotels with Profit Intelligence
Comp sets are the cornerstone of effective benchmarking, offering the context needed to turn data into decisions. By carefully defining and maintaining these sets, hoteliers unlock opportunities to refine operations, enhance guest satisfaction, and drive profitability.
With operational benchmarking tools, you’re not just comparing—you’re leading. Empower your hotel with profit intelligence and redefine what success looks like in hospitality.
Discover more on our website and take the first step toward smarter benchmarking today.