Comp sets—short for competitive sets—are essential tools for short-term rental (STR) operators looking to increase revenue and stay competitive. Instead of relying on outdated market averages, a comp set focuses on similar, high-performing listings to inform smarter pricing strategies.

What Is a Comp Set in Short-Term Rentals?

A comp set is a curated group of listings that share key traits: location, size, guest capacity, amenities, quality, and availability. STR operators use comp sets to benchmark pricing and adjust strategies based on local demand—ensuring they’re staying ahead of the competition rather than following it.

While most dynamic pricing tools rely on broad averages or ZIP code–level data, platforms like Quibble offer a more sophisticated approach—building comp sets based on booking intent and quality signals, not just proximity.

How BookNOLA Boosted Revenue Using Better Comp Sets

BookNOLA, a top STR brand in New Orleans, was seeing flat summer bookings despite a strong market. After adopting Quibble, they built custom comp sets tailored to each property. This surfaced low-performing listings and revealed pricing gaps.

By refining their comps and making strategic listing upgrades, BookNOLA recovered lost revenue and achieved their best-performing summer ever.

Why Quibble’s Comp Set Engine Stands Out

  • Filters listings by photo count, guest rating, booking window, and availability
  • Excludes stale or irrelevant listings
  • Supports multi-property operators—not just individual hosts

This enables more accurate pricing based on the actual competition your listings face.

Quibble pricing model screenshot comparing STR comp sets

Start Building Stronger Comp Sets

Still relying on lagging pricing tools or basic averages? You’re probably leaving money on the table.

Start pricing competitively with Quibble. Visit Quibble or see how other operators like Cohova also improved occupancy and revenue with custom comp sets.

FAQs

What is a comp set in STR?

A comp set is a group of listings that compete directly with yours. They’re used to benchmark prices and improve strategy based on real market signals.

How did BookNOLA use comp sets effectively?

They used Quibble to find better comps, upgraded underperforming listings, and priced based on competition, not averages—resulting in record-high summer revenue.

What makes Quibble’s comp sets different?

Quibble filters by real-time availability, listing quality, guest reviews, and more—focusing on actual competitors, not generic market data.

Who else is using Quibble?

Operators like Cohova have seen strong gains in revenue and occupancy thanks to more intelligent comp set strategies.

Ready to give your STR a competitive edge with AI?

Contact us today to learn more about how we can help you achieve your business goals.

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