Quibble pricing FAQ
Common questions about how Quibble’s pricing works.
How do I access property insights?
Open the Analytics dropdown and select Insights for a portfolio snapshot, or Property for a single listing. See “Using filters on the Insights page.”
What’s the difference between a Base Price Model and an Optimization Model?
A base-price model adjusts a price you set using rules and competitor moves. An optimization model has no base price — it computes the revenue-maximizing rate directly using probability.
How does Quibble determine booking probability?
Quibble estimates the probability that a shopper books your listing when it appears alongside competitors in a search, using its search-based comp set and choice model.
Why does Quibble eliminate the base price?
A base price is a guess you have to set and maintain, and every rule-adjusted price inherits its error. Quibble removes it by solving for the optimal price directly.
What is the “binary booking problem,” and how does Quibble solve it?
A single rental is either booked or vacant — there’s no room to average out a forecast error the way a 300-room hotel can. Quibble addresses this with shopper-choice modeling rather than thin per-unit history.
Does Quibble handle seasonality?
Yes. The model segments demand into season and weekday pools and generates a minimum of 21 optimized prices per property to capture seasonal and day-of-week patterns.
How does the model improve over time?
Every new reservation feeds the model, and it tests several model fits each run, so accuracy improves as data accumulates.