# Quibble

> Revenue management for short-term and vacation rentals. Quibble sets each night’s price where expected revenue (price × booking probability) is highest, using a discrete-choice model, guest-style comp sets, demand forecasting, AI Vision, and guest-review sentiment.

Quibble is a revenue platform for short-term rental operators and property managers. Quibble matches comps the way a guest would compare them (radius starting at 10 km, same bedrooms first, a 75–200% rate band, scored on bedrooms, rate and distance) and attaches about 30 to each listing, and the model sets each night’s price from the probability it books, rather than nudging a base price with rules. Pricing is a flat per-listing subscription — never a commission on revenue. Month-to-month, no setup fees. MCP server access is included with every plan, so the platform connects to any MCP-capable AI client. On connect, Quibble imports listings, reservation history, rates, and calendar availability. For independent hosts with 15 listings or fewer, Quibble Lite is a self-serve tier running the same pricing engine at a flat per-listing price with no base fee.

Full article text for ingestion: https://quibblerm.com/llms-full.txt

## Key pages
- [Pricing](https://quibblerm.com/pricing): Flat per-listing subscription; build an instant quote (software vs. Revenue Desk, our managed service).
- [Quibble Lite](https://quibblerm.com/lite): Self-serve revenue optimization for hosts with 15 listings or fewer — flat $14.99/listing, no base fee, 14-day trial. Runs as its own app at lite.quibblerm.com.
- [About](https://quibblerm.com/about): Discrete-choice revenue management for short-term rentals; team and backers.
- [Customers](https://quibblerm.com/customers): Same-store customer results, each with its own baseline and period.
- [Integrations](https://quibblerm.com/integrations): Connects with the PMS platforms operators already run on.
- [Glossary](https://quibblerm.com/glossary): Plain-English definitions of short-term-rental revenue terminology.
- [Market data](https://quibblerm.com/solutions/market-data): License Quibble market data — short-term rental supply, asking rates, and forward availability — as recurring reports, raw extracts, a dashboard, or a metered…
- [Blog](https://quibblerm.com/blog): Articles on revenue management, pricing, forecasting, and STR strategy.

## PMS connection guides
- [How to connect OwnerRez](https://quibblerm.com/integrations/ownerrez): Connect Quibble to OwnerRez with a secure one-click sign-in — no API keys to copy.
- [How to connect Hospitable](https://quibblerm.com/integrations/hospitable): Connect Quibble to Hospitable with a secure one-click sign-in — no API keys to copy.
- [How to connect Streamline](https://quibblerm.com/integrations/streamline): A whitelisted, agreement-backed connection — we service Streamline accounts end to end.
- [How to connect Guesty](https://quibblerm.com/integrations/guesty): Connect Quibble to Guesty with a marketplace token.
- [How to connect Hostaway](https://quibblerm.com/integrations/hostaway): Connect Quibble to Hostaway with an API key and Client ID.
- [How to connect Hostfully](https://quibblerm.com/integrations/hostfully): Connect Quibble to Hostfully with one-click authorization.
- [How to connect 365Villas](https://quibblerm.com/integrations/365villas): We set up your 365Villas connection for you — just reach out.
- [How to connect Lodgify](https://quibblerm.com/integrations/lodgify): We set up your Lodgify connection for you — just reach out.
- [How to connect Escapia](https://quibblerm.com/integrations/escapia): An official Escapia integration, available on the Escapia marketplace.
- [How to connect Track](https://quibblerm.com/integrations/track): Connect Quibble to Track with a Server API key from your Track account.
- [How to connect Host Tools](https://quibblerm.com/integrations/hosttools): Connect Quibble to Host Tools with the Auth Token from your Host Tools settings.
- [How to connect CiiRUS](https://quibblerm.com/integrations/ciirus): Connect Quibble to CiiRUS with the API credentials CiiRUS issues for your management company.
- [How to connect Smoobu](https://quibblerm.com/integrations/smoobu): Connect Quibble to Smoobu with an API key and secret from your Smoobu settings.
- [How to connect Beds24](https://quibblerm.com/integrations/beds24): Connect Quibble to Beds24 with a one-time invite code from your Beds24 account.
- [How to connect Mews](https://quibblerm.com/integrations/mews): Connect Quibble to Mews with an access token from the Mews Marketplace.
- [How to connect Barefoot](https://quibblerm.com/integrations/barefoot): Connect Quibble to Barefoot with the API user Barefoot support issues for your account.
- [How to connect Uplisting](https://quibblerm.com/integrations/uplisting): Connect Quibble to Uplisting with an API key from your Uplisting account.
- [How to connect Lodgix](https://quibblerm.com/integrations/lodgix): Connect Quibble to Lodgix with an API key from your Lodgix account.
- [How to connect Rentlio](https://quibblerm.com/integrations/rentlio): Connect Quibble to Rentlio with an API key from the Developers section of your account.
- [How to connect Bookerville](https://quibblerm.com/integrations/bookerville): Connect Quibble to Bookerville by authorizing Quibble on your account — no token to copy.
- [How to connect iPro](https://quibblerm.com/integrations/ipro): Connect Quibble to iPro with an API client ID and secret issued for your iPro site.
- [How to connect Direct](https://quibblerm.com/integrations/direct): Connect Quibble to Direct with the organization ID and API key Direct issues for your account.
- [How to connect Smily](https://quibblerm.com/integrations/smily): Connect Quibble to Smily with a secure one-click sign-in — no API keys to copy.
- [How to connect Octorate](https://quibblerm.com/integrations/octorate): Connect Quibble to Octorate with a secure one-click sign-in — no API keys to copy.
- [How to connect Maxxton](https://quibblerm.com/integrations/maxxton): Connect Quibble to Maxxton with OTA API credentials generated inside your Maxxton account.

## Products
- [Pricing Engine](https://quibblerm.com/products/price-optimization): Price optimization: the revenue-maximizing price for every night
- [Portfolio Calendar](https://quibblerm.com/products/portfolio-calendar): Every night, every unit, one calendar.
- [Events & Holidays](https://quibblerm.com/products/events-pricing): Event multipliers, tapers, and minimum stays for the nights that matter.
- [Insights & Daily Brief](https://quibblerm.com/products/insights): See the number before it happens.
- [QPilot](https://quibblerm.com/products/qpilot): Set the target. Steer the whole book.
- [Properties](https://quibblerm.com/products/properties): Every listing, deep enough to act on.
- [Market Analytics](https://quibblerm.com/products/market-analytics): Is it you, or is it the market?
- [Market Hunter](https://quibblerm.com/products/market-hunter): Rates, demand, and supply for every market we track.
- [Property Scout](https://quibblerm.com/products/property-scout): Underwrite any address before you sign it.

## Comparisons
- [Quibble vs PriceLabs](https://quibblerm.com/compare/pricelabs): Rules-based dynamic pricing vs true price optimization.
- [Quibble vs Beyond](https://quibblerm.com/compare/beyond): A flat per-listing fee instead of 1–1.25% of booking revenue.
- [Quibble vs Wheelhouse](https://quibblerm.com/compare/wheelhouse): Great market data still needs the right price.

## Articles
- [AI Is Killing the Word “Pace”](https://quibblerm.com/blog/ai-is-killing-the-word-pace): AI probably isn't going to wipe out our civilization. It is wiping out parts of our language, though, and in short-term rental revenue management it has alread…
- [Your pricing tool loses you $6 a night](https://quibblerm.com/blog/your-pricing-tool-loses-you-6-dollars-a-night): Before we move any client off a base-price tool, we calculate the expected revenue at the price their current tool set and at our optimized price. The average…
- [What is a blocked day worth?](https://quibblerm.com/blog/what-is-a-blocked-day-worth): Owner blocks are one of the biggest unsolved problems in short-term rental revenue management: they blind the demand model and they eat the revenue goal. Here…
- [How to build a base-price dynamic pricing model](https://quibblerm.com/blog/how-to-build-a-base-price-dynamic-pricing-model): A step-by-step walkthrough of the model that sits inside most short-term rental pricing tools: what data it needs, how the market curve becomes percentage fact…
- [Brooks and Shorey Resorts grew revenue 30% across 137 beach units in one season](https://quibblerm.com/blog/brooks-and-shorey-resorts-fort-walton-full-portfolio): Fort Walton Beach operator Brooks and Shorey Resorts moved essentially its entire 140+ unit portfolio to Quibble pricing in March. Four months later, the same…
- [Simply Home lifted Pagosa Springs revenue 18%, mostly on rate](https://quibblerm.com/blog/simply-home-pagosa-springs-rate-and-revenue): Simply Home manages cabins and homes in Pagosa Springs, Colorado, on Hostfully. In the most recent year on Quibble pricing, the same properties earned 18% more…
- [How Triad Vacation Rentals prices 400+ properties with Quibble](https://quibblerm.com/blog/triad-vacation-rentals-pricing-400-properties): Triad Vacation Rentals runs a 400+ property portfolio across coastal, mountain, urban, and lakefront markets on Hostaway. On the same homes, year over year, Qu…
- [Dynamic pricing isn't optimized pricing](https://quibblerm.com/blog/dynamic-pricing-isnt-optimized-pricing): Revenue management, dynamic pricing, optimization — treated as synonyms, but they’re not. “Dynamic” is about how often the price changes; “optimization” is abo…
- [Quibble vs Wheelhouse vs Beyond vs PriceLabs (2026)](https://quibblerm.com/blog/best-short-term-rental-pricing-tools-quibble-vs-wheelhouse-vs-beyond-vs-pricelabs): The four leading tools charge and behave very differently. The honest 2026 comparison, including the cost math at scale.
- [Revenue opportunity: prioritizing where to act](https://quibblerm.com/blog/revenue-opportunity): With 365 days of availability per property, a revenue manager can’t watch everything. Three ways to prioritize — and why the Revenue Opportunity Model beats ch…
- [The end of base price: an essay](https://quibblerm.com/blog/the-end-of-base-price-quibblerm-case-study): The base price came to short-term rentals from hotels in the 1980s. It was never built for volatile, one-of-a-kind vacation homes — and Quibble replaces it wit…
- [How optimization models work](https://quibblerm.com/blog/how-optimization-models-work): Optimization means solving a function to find the point of highest expected revenue — not nudging a base price. A simple airline example shows why that distinc…
- [Vacation rental revenue management: the complete guide](https://quibblerm.com/blog/the-importance-of-revenue-management-for-short-term-rentals): Selling the right night, to the right guest, at the right price, through the right channel — using data instead of intuition. Here is how the four levers and t…
- [Occupancy rates and revenue management](https://quibblerm.com/blog/occupancy-occ-rates-and-revenue-management): Occupancy is a demand gauge, not a goal — and the way most operators calculate it quietly breaks their pricing. The formula, the blocked-days trap, and why occ…
- [RevPAR, broken down: revenue per available room](https://quibblerm.com/blog/revpar-breakdown-revenue-per-available-room): Turnover is vanity, profit is sanity, but cash is king. RevPAR is the one number that tells you whether occupancy and rate are working together — your revenue…
- [How AI Vision scores your listing photos](https://quibblerm.com/blog/how-ai-vision-scores-your-photos): A computer-vision model rates your photos the way a guest’s eye would — and tells you which images are quietly costing you bookings.
- [How do you know if your pricing model works?](https://quibblerm.com/blog/how-do-you-know-if-your-pricing-model-works): Most property managers using a pricing tool cannot answer a basic question: is it working? Four methods for evaluating pricing-model performance, ordered by an…
- [Reading the comp set: like-kind units vs the big three](https://quibblerm.com/blog/reading-the-comp-set): Pricing against the whole market is a blunt instrument. Pricing against units genuinely like yours is where the edge is.
- [Forecasting demand before it happens](https://quibblerm.com/blog/forecasting-demand-before-it-happens): By the time occupancy tells you demand shifted, the booking window has moved on. Insights forecasts the metrics that matter while you can still act.
- [Quibble named finalist in the Arizona Innovation Challenge](https://quibblerm.com/blog/quibble-finalist-arizona-innovation-challenge): Quibble was selected as a Finalist in the Arizona Innovation Challenge Fall 2025 — one of 15 AI and SaaS startups chosen from 67 applications by the Arizona Co…
- [Maximizing revenue during cleaning turnovers](https://quibblerm.com/blog/cleaning-turnovers-dynamic-pricing): Cleaning turnovers and the buffer days around them quietly cut into bookable nights. Pricing and stay rules turn those operational gaps back into bookable nigh…
- [Optimizing your pricing across multiple platforms](https://quibblerm.com/blog/optimizing-pricing-across-multiple-platforms): Airbnb dominates, but limiting yourself to one platform caps your reach and your revenue. A guide to pricing consistently across Vrbo, Booking.com, and direct…
- [Comp sets for STR success: how BookNOLA grew revenue](https://quibblerm.com/blog/book-nola-comp-sets-success-story): BookNOLA, a top New Orleans STR brand, was seeing flat summer bookings despite a strong market. Custom, quality-based comp sets surfaced the gaps — and drove t…
- [BeachHaus’s 18% RevPAR uplift with Quibble](https://quibblerm.com/blog/beachhaus-real-time-pricing-revpar-uplift): BeachHaus, a premier coastal vacation-rental manager, struggled to automate pricing for unique high-value properties. With Quibble — and AI Vision Boost — they…
- [How to select a revenue manager](https://quibblerm.com/blog/how-to-select-a-revenue-manager): A revenue manager can be a critical hire — and the qualified field is small. What to look for, full-time vs consultant, and how to set expectations and measure…
- [How to respond to pricing complaints](https://quibblerm.com/blog/how-to-respond-to-pricing-complaints): Every owner complaint arrives as an Airbnb screenshot of “better-priced” listings. Price has the highest coefficient of choice — here’s how to respond with rea…
- [ASTRHO Q&A with pricing experts](https://quibblerm.com/blog/astrho-qa-with-pricing-experts): Quibble CEO Neal Cyr and PriceLabs co-founder Anurag Verma joined an ASTRHO live Q&A — two pricing experts from opposite ends of the dynamic-pricing spectrum.
- [Quibble CEO Neal Cyr on the Valley Startup Podcast](https://quibblerm.com/blog/valley-startup-podcast-episode-33-neal-cyr-ceo-quibble): Quibble CEO Neal Cyr joined Valley Startup Podcast Episode #33 to talk Phoenix — one of the hottest US rental markets — and the story behind Quibble.
- [Quibble in partnership with SurveyEngine](https://quibblerm.com/blog/quibble-in-partnership-with-surveyengine): Quibble has partnered with SurveyEngine, an academic-grade choice-modeling platform — surfacing the consumer preferences that reservation data alone can’t reve…
- [Why you should join a vacation rental management association](https://quibblerm.com/blog/why-you-should-join-a-vacation-rental-management-association): In a crowded, fast-changing market, an association is a competitive edge. Eight benefits of joining a Vacation Rental Management Association — from advocacy to…
- [Exploring discrete choice experiments in consumer research](https://quibblerm.com/blog/exploring-discrete-choice-experiments-in-consumer-research): Discrete choice experiments — “stated preference” research — let you test prices and derive demand curves before you change a thing. Why they’re a powerful too…
- [Introducing Quibble Bookable Search™](https://quibblerm.com/blog/introducing-quibble-bookable-search): Search volume sounds like a demand signal — until you learn ~47% of web traffic is bots. Bookable Search™ counts only searches where a shopper actually booked.
- [Pricing a new vacation rental property](https://quibblerm.com/blog/pricing-a-new-vacation-rental-property): A new listing’s price signals quality to the market — set it wrong and the property turns invisible. The right data, the ramp-up period, and how to onboard a n…
- [Customer segmentation in STR](https://quibblerm.com/blog/customer-segmentation-in-str): Dividing guests into meaningful segments — families, business travelers, leisure seekers — lets you tailor marketing, experience, and pricing to each, lifting…
- [Could there be a strategy behind my cancellation policy?](https://quibblerm.com/blog/could-there-be-a-strategy-behind-my-cancellation-policy): Quibble’s research across 9 US markets found flexible cancellation policies drove 22% higher RevPAR than restrictive ones — and a lower cancellation rate. The…
- [Revenue analytics: the right way to process revenue data](https://quibblerm.com/blog/revenue-analytics-the-right-way-to-process-revenue-data): Raw reservation data isn’t built for revenue management — and the day-level pricing you need is usually lost on the way in. How sorting, proration, and real-ti…
- [Price sensitivity for STRs](https://quibblerm.com/blog/price-sensitivity-for-strs): When price rises, demand falls — but how much? Price elasticity is the answer, and Quibble’s research found STR demand splits into seven segments, each with it…
- [Revenue manager vs revenue scientist](https://quibblerm.com/blog/revenue-manager-vs-revenue-scientist): Most revenue managers spend their days overriding model outputs — a tedious treadmill. The revenue scientist fixes the inputs instead, aiming for a model that…
- [Improving your pricing with NLP](https://quibblerm.com/blog/improving-your-pricing-with-nlp): After computer vision, Quibble built a custom NLP model to read guest-review sentiment — chiefly to mitigate the sharp, short-term hit a recent negative review…
- [Managing revenue and pricing for special events](https://quibblerm.com/blog/managing-revenue-and-pricing-for-special-events): There’s high season, low season — and special events. They’re harder to predict than seasonality and easy to misprice. A price-probability approach beats follo…
- [The case against last-minute discounting](https://quibblerm.com/blog/the-case-against-last-minute-discounting): Airline fares rise as departure nears; STR operators do the opposite, programmatically cutting rates inside 21 days. That practice should stop — and forecastin…
- [Minimum-stay requirements, done right](https://quibblerm.com/blog/minimum-stay-requirements): Minimum-stay requirements reduce turnover costs but cap your bookings. The trade-offs they create — and four strategies to set them without sacrificing the gue…
- [Introducing search-based comp sets](https://quibblerm.com/blog/introducing-quibble-searched-based-comp-sets): “You can only be as good as your dumbest competitor” — true for airlines, wrong for rentals. Quibble’s comp sets, matched the way a guest compares, narrow thou…
- [Why dynamic pricing breaks in STR](https://quibblerm.com/blog/challenges-in-str-dynamic-pricing): Dynamic pricing changes price by rules and signals, and in short-term rentals the data behind those signals is thin and noisy. The seven biggest challenges, fr…
- [The 5 must-have software tools for every busy STR host](https://quibblerm.com/blog/the-5-must-have-software-for-every-busy-str-host): Running a short-term rental well means leaning on technology. Five categories of software every busy host should have — from OTA integration to pricing optimiz…
- [What are the top OTAs to be listed on?](https://quibblerm.com/blog/what-are-the-top-otas-to-be-listed-on): Listing across multiple online travel agencies widens your reach and reduces platform risk. A rundown of seven leading OTAs — their histories, strengths, and f…
- [How base-price models work](https://quibblerm.com/blog/how-base-price-models-work): The industry standard, explained: how scraped market data becomes a percentage curve applied to a base price you set — what makes it “dynamic,” and why it’s re…
- [The power of reviews on your STR](https://quibblerm.com/blog/the-power-of-reviews-on-your-str): Reviews are the currency of trust in vacation rentals — they can make or break a new listing. How they shape bookings, visibility, expectations, and repeat bus…
- [Partnership announcement: Guesty](https://quibblerm.com/blog/partnership-announcement-guesty): Quibble has partnered with Guesty, making its revenue-management app available directly in Guesty’s ecosystem — airline modeling for vacation rentals.
- [Partnership announcement: OwnerRez](https://quibblerm.com/blog/partnership-announcement-ownerrez): Quibble has integrated with OwnerRez — an internationally recognized leader in vacation-rental channel management, CRM, and PMS — bringing airline-based pricin…

## Glossary terms
- **revenue management**: The practice of varying price and availability over time to maximize total revenue, rather than chasing occupancy or a single nightly rate. (https://quibblerm.com/blog/the-importance-of-revenue-management-for-short-term-rentals)
- **dynamic pricing**: Pricing that changes frequently in response to demand. It describes how often the price moves — not how the price is decided. (https://quibblerm.com/blog/dynamic-pricing-isnt-optimized-pricing)
- **price optimization**: Using a model to solve for the revenue-maximizing nightly rate, as opposed to applying a base price plus manual rules.
- **optimization model**: A mathematical model that searches for the rate that maximizes expected revenue for a given night and listing. (https://quibblerm.com/blog/how-optimization-models-work)
- **demand forecasting**: Predicting future booking demand for a listing or market so pricing can react before the booking window closes. (https://quibblerm.com/blog/forecasting-demand-before-it-happens)
- **comp set**: The listings a property is compared with. Quibble attaches about 30 comps to each listing, matched the way a guest would compare them (radius starting at 10 km, same-bedroom listings first with backfill, a 75–200% rate… (https://quibblerm.com/blog/reading-the-comp-set)
- **RevPAR**: Revenue Per Available Rental night — revenue divided by available nights. The single metric that captures occupancy and rate together. (https://quibblerm.com/blog/revpar-breakdown-revenue-per-available-room)
- **ADR**: Average Daily Rate — total room revenue divided by the number of booked nights. Says nothing about occupancy on its own.
- **occupancy**: The share of available nights that are booked. A demand gauge, not a goal — high occupancy at low rates can leave revenue on the table. (https://quibblerm.com/blog/occupancy-occ-rates-and-revenue-management)
- **seasonality**: Recurring high, shoulder, and low demand periods across the year that pricing must anticipate rather than react to. (https://quibblerm.com/blog/forecasting-demand-before-it-happens)
- **length of stay**: The number of nights in a reservation. Pricing and discounts can be tuned to encourage more profitable stay lengths. (https://quibblerm.com/blog/minimum-stay-requirements)
- **minimum stay**: The shortest reservation a listing will accept for a given date. A lever for protecting high-demand dates and avoiding orphan gaps. (https://quibblerm.com/blog/minimum-stay-requirements)
- **gap night**: An unbookable single night left between two reservations because of minimum-stay rules — lost revenue that smart min-stay settings reduce.
- **lead time**: How far in advance a guest books. A single day of lead time can be the difference between capturing a demand spike and missing it.
- **booking window**: The period between when a booking is made and the stay itself. Pricing strategy changes as the window narrows.
- **pickup**: Bookings added over a period, e.g. the last 7 days.
- **OTA**: Online Travel Agency — a channel like Airbnb, Vrbo, or Booking.com where listings are distributed and booked.
- **computer vision**: AI that scores listing photos the way a guest perceives them — light, composition, and clutter that correlate with bookings. (https://quibblerm.com/blog/revolutionizing-the-short-term-rental-industry-with-computer-vision)
- **sentiment analysis**: Distilling thousands of reviews into the themes that actually move a guest’s willingness to pay.
- **reviews**: Guest feedback that both reflects and shapes achievable rate — strong sentiment supports higher pricing, weak sentiment suppresses it. (https://quibblerm.com/blog/the-power-of-reviews-on-your-str)
- **7-day pace**: What “pace” means at Quibble, and only this: this year’s 7-day pickup minus last year’s 7-day pickup for the same stay dates at the same number of days before arrival. It is described as positive or negative.
- **market pace**: Your 7-day build this year compared with your comp set’s 7-day build this year (the comp side aggregates all the comps’ data for the listing, group or portfolio selected). It is not a year-over-year measure. Shown on In…
- **on the books vs. last year**: The year-over-year gap for a future period: what is on the books today compared with what was on the books at the same point a year ago. It is not pace.
- **market share**: The probability that the next qualified shopper, someone who will book something in the comp set, picks your listing. Price, amenities, ratings, reviews, and photos all move it.
- **booking probability**: The chance that a night books at a given price. Quibble estimates it with a discrete choice model; expected revenue is the price times this probability.
- **expected revenue**: Price × the probability that the night books at that price. The Pricing Engine sets each night’s price where it is highest.
- **consideration set**: The small group of listings a shopper actually weighs before booking, about 10. Quibble attaches about 30 comps to each listing and puts the 10 best matches still available each night into the model.
- **discrete choice**: A family of models for predicting which one option a person picks from a set; here, which listing a shopper books. Quibble uses the multinomial logit form, developed largely by Daniel McFadden, who shared the 2000 Nobel…
- **multiplier**: A percentage adjustment applied on top of the optimized price at a scope: portfolio, market, group, property, or a date range. Multipliers add as percentage points, and they are the first control to use: price = clamp(o…
- **override**: A fixed price or minimum stay pinned to specific dates, above all other pricing logic. It is the last resort, for when a client explicitly wants a fixed rate; use multipliers first.
- **floor**: The lowest price a listing can be set to. Floors exist for owner minimums, protection under large negative adjustments, and holiday or peak-season protection. The model rarely prices below the lowest comp on its own.
- **annual rent target**: The annual rent a listing is expected to earn. The model prices toward it, and changing it triggers a recomp toward comps that produce similar rent. The better it is set, the fewer controls a listing needs.
- **Bookable Search™**: Searches that ended in a purchase: your listing appeared in the search and the shopper booked something very similar. Predicted bookings across the comp set set seasonality; revenue managers do not hand-pick seasons.
- **blocked days**: Nights that owners or maintenance hold out of sale. They are removed from available nights, so occupancy = booked ÷ (total − blocked).
- **base price**: A fixed starting nightly rate that rule-based tools adjust up or down. Quibble replaces it with a model that solves for the optimal rate directly.