Sets each night’s price where expected revenue (price × booking probability) is highest.
Reacting to demand isn’t the same as maximizing it. Quibble sets each night’s price where expected revenue, price times the probability the night books, is highest.
No base price. A probability instead — watch how the model finds the rate the market will actually pay.
This is the actual app your team would run every morning — click any surface, or just watch it work.
Dynamic pricing changes price over time by rules. Quibble sets each night’s price where expected revenue, price × the probability the night books at that price, is highest.
The same units and nights — a different pricing engine. Here’s what changed.
Automated pricing for unique high-value properties with AI Vision Boost.
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Quality-based comp sets surfaced the gaps behind flat summer bookings.
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Same-store, same months — Quibble grew revenue and nights while a non-Quibble control group didn’t.
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Nearly the whole portfolio moved at once — the calendar filled at rate, with ADR up 2%.
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Where occupancy has a ceiling, rate is the only lever left — and it grew nights booked anyway.
Read the story →A flat per-listing subscription — never a commission on your revenue. Month-to-month, no setup fees, no long-term contracts.
Connect your PMS and see what optimized pricing looks like in minutes — just a simple integration, no manual work.
