A compset is a defined group of competing hotels selected for performance comparison, typically four to ten properties matched on segment, location, brand tier and amenities. The compset feeds benchmarking reports such as the STAR report, exposing how the subject hotel performs on ADR, occupancy and RevPAR relative to peers.
Revenue managers monitor compset rates daily through rate-shopping tools and adjust pricing to maintain a target index against the set. Sales and marketing teams use compset benchmarks when negotiating corporate accounts and OTA promotions, while general managers review monthly performance to identify whether share gains or losses are market-driven or property-specific. The compset should be reviewed annually to remain relevant as the local market evolves.
Choosing the right compset is more impactful than any single rate decision. A compset skewed too premium will make the property look weak even when performing healthily, while one set too low will mask underperformance. The strongest compsets balance peer aspiration and substitutability, reflecting the real choices a guest weighs when booking.
Viqal's AI Operator drives direct bookings and ancillary revenue that lift RevPAR and GOPPAR against the compset, supported by deep PMS data flowing into Viqal's journey campaigns.
Most properties select between four and ten compset members. Fewer than four exposes the index to noise from any single hotel's anomalies, while more than ten dilutes relevance and slows decision-making. Branded benchmarking tools such as STR require a minimum number of properties for confidentiality, so the practical floor is usually five.
Selection criteria include geographic proximity, segment and chain scale, room count, amenity profile, target customer mix and price point. The goal is to capture properties a guest would realistically consider as substitutes. Many hotels also include one or two aspirational properties to track competitiveness against the next tier, although these are weighted carefully in interpretation.
The ADR index, or ARI, compares a hotel's average daily rate to the compset average. The RevPAR index, or RGI, compares revenue per available room. ARI isolates pricing power, while RGI captures combined pricing and occupancy share. A high ARI with a low RGI indicates strong pricing but weak share, often a sign of overpricing relative to demand.
An annual review is standard, with ad-hoc updates if a major new property opens, an existing competitor closes or rebrands, or the local market repositions. Updating mid-year requires recasting historical comparisons, which complicates trend analysis, so changes should be deliberate. Document the rationale for each member to support future reviews.
Yes. Many properties operate a primary commercial compset for daily pricing decisions and a secondary aspirational set for board-level reporting. Some also maintain segment-specific compsets, for example a corporate compset for weekday nights and a leisure compset for weekends. Multiple compsets give a richer view but require disciplined definition to avoid confusion.
STR's STAR report is the most established benchmarking source, with HotStats covering profitability metrics. Rate-shopping platforms such as OTA Insight, Lighthouse and TravelClick provide daily rate visibility. Many revenue management systems integrate compset data directly into pricing recommendations, automating the loop from market signal to rate decision.
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