Why hotel competitive set analysis must move beyond the hotel next door
Hotel competitive set analysis used to be a comfortable ritual. A revenue management équipe would select five or six hotels with similar star rating, location and pricing, then track index scores and call it a day. That narrow view of the competitive set worked when most demand stayed inside the traditional hotel industry and when alternative lodging was a niche, not a structural force.
That era is over, and hotel managers who still rely on a static compset are flying blind in a market where short term rentals, serviced apartments and hybrid concepts are taking share. In the United States, short term rental demand has grown several points faster than hotel RevPAR, while global research shows a double digit growth of alternative accommodations and a corresponding decline in traditional hotel bookings. This shift means that any serious competitor analysis must now integrate non hotel supply, or the analysis hotel teams produce will misread both pricing power and the true strengths weaknesses of each property.
For asset managers and corporate strategy leaders, the implication is clear and uncomfortable. The hotel competitor that matters most to your flagship property might be a professionally managed apartment building with flexible leases, not the branded hotel across the street. When you run set analysis only on hotels, you understate the pressure on guest experience, misjudge revenue management headroom and risk allocating capital to concepts that cannot stay ahead of new competitors in real time.
Redefining the competitive set across hotels, rentals and serviced apartments
Building a modern competitive set starts with a simple question : which options does the guest actually compare when deciding where to stay. In many urban markets, that comparison now spans hotels, short term rentals, serviced apartments, boutique properties and even premium hostels that blur the line between hotel business and residential living. Corporate travel policies increasingly allow non hotel options, which means the comp set for a central business district hotel now includes extended stay apartments and high quality rentals with hotel like services.
To operationalise this broader competitive analysis, management teams need to segment demand by stay purpose, length and price band, then map each segment to its real competitors. A three night corporate stay might see a traditional hotel competitor set, while a twenty eight night project stay will compare aparthotels, co living and residential rentals with kitchen facilities. This is where structured competitor analysis becomes strategic asset management, because the same property can sit in several overlapping competitive sets, each with different pricing strategies and revenue management levers.
Labour and operating models also shape who your true competitors are. A full service hotel with a unionised workforce and complex amenities competes very differently from a lean serviced apartment platform optimised for long stay revenue and low variable cost. When you review your portfolio playbook, you should evaluate not only ADR and star rating, but also labour flexibility, as highlighted in analyses of labour contract cliffs and smart operator preparation in markets like New York, where strategic labour planning directly influences which competitors you can profitably match on price and guest experience.
From STR reports to blended compsets : data sources that actually reflect the market
Traditional STR style reports remain essential, but they now cover only part of the market that matters for hotel competitive set analysis. To build a blended compset that reflects reality, hotel management teams must combine hotel data with alternative accommodation data from platforms that track short term rentals and serviced apartments. This blended view allows hotel managers to see how many guests choose non hotel options at each price point, and how that choice shifts when hotels change pricing strategies or when events compress demand.
In practice, the most effective hotel managers use three layers of data for competitive analysis. First, they track hotel industry benchmarks such as occupancy, ADR and RevPAR for their traditional competitive set, ensuring continuity with existing revenue management processes. Second, they integrate alternative lodging data that shows rental penetration by market, average length of stay and pricing for comparable units, which reveals where the comp set is leaking demand to non hotel competitors.
Third, they overlay real time signals from social media, review platforms and direct guest feedback systems to understand guest experience gaps that pure pricing analysis cannot see. This is where strengths weaknesses become visible at the level of each property, because guests will explicitly compare hotels and rentals in their comments about space, amenities and service. As AI driven workflow intelligence tools mature, the most advanced hotel management équipes are starting to automate this blended competitor analysis, turning fragmented data into daily decision support for revenue management, marketing and on property operations.
How to build a blended comp set that reflects real guest choices
Constructing a blended comp set starts with defining the demand pools that matter most for your asset performance. For each pool, you identify which hotels, rentals and serviced apartments a rational guest would consider as substitutes at the moment of booking. This exercise forces hotel managers to move beyond brand centric thinking and focus on the property attributes, location, price and guest experience that actually drive competitive choice.
For a central city upscale hotel, the blended competitive set might include three branded hotels, two independent boutique hotels, one serviced apartment building and a cluster of professionally managed short term rentals within a defined radius. Each competitor in this comp set should be tagged with key attributes such as star rating, unit size, amenity mix, cancellation policy and distribution channels, so that set analysis can go deeper than headline ADR comparisons. When you run analysis hotel by hotel in this structured way, you can see which competitors win on space, which win on service and which win on price, then align your pricing strategies accordingly.
Revenue management teams should then build dashboards that show how this blended competitive set behaves over time. For example, you might track how often a specific hotel competitor or serviced apartment undercuts your property on weekends, or how short term rental pricing reacts to major events compared with hotels. These real time insights allow management to adjust comp set definitions as the market evolves, ensuring that your competitive analysis remains aligned with actual guest behaviour rather than with legacy assumptions about who your competitors are.
Metrics that matter when comparing hotels to alternative lodging
When you compare hotels to alternative lodging, traditional hotel industry metrics are necessary but not sufficient. Occupancy, ADR and RevPAR remain core, yet they must be complemented by measures that capture space, flexibility and perceived value, because guests weigh these factors heavily when choosing between a hotel and a short term rental. For asset managers, the objective is to translate these guest centric metrics into portfolio level revenue and margin outcomes.
One useful approach is to normalise revenue per available square metre across hotels, serviced apartments and rentals in your competitive set. This metric reveals where a property generates superior revenue from its footprint, even if its ADR appears lower than that of a nearby hotel competitor. You can then layer in stay length distribution, because a comp set with a high share of long stay guests will show different revenue management dynamics and lower acquisition costs than a set dominated by one night stays.
Qualitative indicators also matter, especially those visible in social media reviews and guest feedback about cleanliness, noise, safety and service responsiveness. A property with a slightly lower star rating but consistently strong comments on reliability and support may be a more dangerous competitor than a higher rated but inconsistent hotel. When you integrate these qualitative signals into your competitor analysis, you gain a more accurate view of strengths weaknesses across the comp set, which in turn informs where to invest in guest experience upgrades, where to adjust pricing and where to reposition an asset entirely.
Strategic implications for M&A, asset management and corporate portfolio design
For corporate strategists and investment committees, the shift in hotel competitive set analysis has direct implications for capital allocation and deal theses. When alternative accommodations grow faster than hotels in a given market, the right move may be to acquire or develop flexible stay assets rather than double down on traditional full service hotels. This is not about chasing a trend, but about aligning the portfolio with the real competitive landscape that guests face when they search for a place to stay.
In M&A, due diligence must now include a rigorous blended competitor analysis that covers hotels, serviced apartments and short term rentals within the relevant catchment area. A target property that appears strong within a narrow hotel only comp set may look far weaker once you account for non hotel competitors that capture high value demand segments. Conversely, an underperforming hotel might present a compelling repositioning opportunity if its physical asset can be converted into a flexible stay concept that better matches the evolving comp set.
Asset management teams should embed this broader view of the competitive set into annual business plans, operator performance reviews and brand selection decisions. When you evaluate a management contract or franchise proposal, the key question is not only whether the brand can lift RevPAR versus the hotel competitor group, but whether it can help the property compete credibly against alternative lodging in terms of guest experience, digital marketing and pricing agility. In a market where hotels now compete with non traditional accommodations, the winners will be those who treat competitive analysis as a living, cross category discipline rather than as a static report filed once a year.
Key figures that reshape hotel competitive set thinking
- Global studies show that alternative accommodations have grown by around 15 % in recent periods, while traditional hotel bookings have declined by roughly 10 % over the same timeframe, signalling a structural shift in the market rather than a temporary swing.
- In several major urban markets, short term rentals now account for more than one fifth of available lodging supply, meaning that any hotel competitive set analysis that ignores them underestimates true competitors by a significant margin.
- Corporate travel policy reviews indicate that a rising share of companies now allow employees to book non hotel options for certain trip types, which expands the effective comp set for business focused hotels into serviced apartments and professionally managed rentals.
- Guest surveys consistently report that travellers choose alternative accommodations for unique experiences, flexibility and perceived value, which reinforces the need for hotels to differentiate on guest experience rather than rely solely on brand and location.
- Market shift analyses project ongoing pressure on traditional hotels in destinations with high alternative accommodation penetration, making blended competitor analysis a prerequisite for realistic revenue management and asset valuation.
FAQ about modern hotel competitive set analysis
What are alternative accommodations and why do they matter for my comp set ?
Alternative accommodations are non traditional lodging options such as short term rentals, serviced apartments and boutique stays that operate outside the classic hotel model. They matter for your comp set because many guests now compare these options directly with hotels when deciding where to stay. If you ignore them in your competitor analysis, you misjudge both demand and pricing power.
How can hotels compete effectively with alternative accommodations ?
Hotels can compete by offering distinctive guest experience, reliable service and strong value at each price point. This requires targeted revenue management, thoughtful pricing strategies and marketing that highlights what the property does better than rentals or serviced apartments. As one expert summary puts it, "How can hotels compete with alternative accommodations? By offering unique experiences and personalized services."
Which data sources should I use for blended hotel competitive set analysis ?
You should combine traditional hotel performance data with alternative accommodation datasets that track rental supply, demand and pricing in your market. Layer this with guest feedback, review scores and social media sentiment to understand qualitative strengths weaknesses across the comp set. The goal is to build a single view of all competitors that your target guests consider when booking.
How often should I update my competitive set definitions ?
In dynamic markets with strong alternative accommodation growth, you should review competitive set definitions at least quarterly. Significant changes in supply, corporate travel policies or guest behaviour may require more frequent updates. Treat comp set design as an ongoing management discipline rather than a one time exercise.
Why are more travellers choosing non hotel options over traditional hotels ?
Travellers often choose non hotel options for greater space, kitchen facilities, local neighbourhood immersion and perceived value for longer stays. Flexibility in check in, cancellation and group accommodation also plays a role. These preferences mean that hotels must refine their guest experience and pricing strategies to remain competitive within a broader, cross category market.