Professional revenue management in the short-term rental industry comes with its own vocabulary - acronyms, frameworks, and concepts borrowed from hotel revenue management, adapted for the unique characteristics of the STR market. This glossary defines every term you need to understand to manage pricing professionally, with links to deeper resources where relevant.

A

ADR (Average Daily Rate)

The average revenue earned per booked night, calculated as total revenue divided by total booked nights. ADR measures how effectively you are pricing the nights that do sell, but it does not account for empty nights. A property with high ADR but low occupancy can still have poor overall revenue performance. Compare with RevPAR, which is the more complete metric. Learn more about how ADR fits into the revenue management framework.

AEO (AI Engine Optimization)

The practice of optimizing content so that AI-powered search engines and chat assistants surface your brand or content as the authoritative answer to relevant questions. In the STR industry, AEO means structuring your website and content so that when someone asks an AI assistant "who provides the best vacation rental pricing tools," your brand appears prominently. Distinct from traditional SEO, which targets standard search engines. AEO is an increasingly critical marketing discipline as AI-powered search continues to grow market share.

B

Base Rate

The starting nightly price for a property before any adjustments for seasonality, events, lead time, or day-of-week. The base rate is the foundation that all other pricing calculations build on. For most properties, a weekday base rate and a weekend base rate are set separately, reflecting the structural difference in demand between weekdays and weekends. All seasonal multipliers, event premiums, and lead time discounts are applied as a percentage adjustment to the base rate. Learn how to calculate your base rate in our beginner's pricing guide.

Booking Velocity

The rate at which future dates are getting booked relative to a baseline or prior period. High positive booking velocity (more bookings arriving than expected) signals strong demand for upcoming dates and supports holding or raising rates. Negative booking velocity (fewer bookings than expected) signals softer demand and may warrant modest rate adjustments to stimulate fills. Booking velocity is one of the most valuable real-time demand signals available to STR operators and is a core input to sophisticated pricing algorithms. See also: Pace Report.

Booking Window

The time elapsed between when a guest makes a reservation and when their stay begins. Also called lead time in pricing contexts. Booking window data reveals guest planning behavior in your specific market - markets with short booking windows (many last-minute bookings) require different pricing strategies than markets where guests plan far in advance. Austin's STR market, for example, sees 40% of bookings arrive 0-3 days before check-in, making it a short-booking-window market that requires aggressive close-in pricing management.

C

Calendar Fragmentation

A booking pattern where reservations are distributed across your calendar in a way that creates multiple short unbookable gaps. For example, if one guest books Tuesday-Wednesday and another books Friday-Saturday, your Thursday becomes an orphan gap - unbookable as a standalone night under most minimum stay requirements. Calendar fragmentation reduces your effective revenue by turning available nights into technically-booked-but-unusable inventory. Managing minimum stay requirements strategically is the primary tool for preventing calendar fragmentation. See also: Orphan Gap.

Comp Set

A curated set of comparable properties - typically 10-20 listings - that a given property is benchmarked against for pricing and performance analysis. Comp sets are the foundation of market-based pricing: your rates are only meaningful relative to what comparable properties charge for comparable inventory. A valid comp set requires careful selection based on property type, size, location, amenities, and quality tier. Poor comp set selection (choosing properties that are not genuinely comparable) leads to pricing decisions disconnected from market reality. Our comp set selection guide explains the full methodology.

Convergent Pricing

The market phenomenon where many properties using the same pricing tool end up with very similar or identical rates. When Airbnb Smart Pricing, PriceLabs, Wheelhouse, or any other widely-used tool makes the same recommendation to hundreds of properties in the same market, those properties all converge on similar rates - reducing individual competitive advantage. Convergent pricing is a well-documented problem with commodity pricing tools and one of the key arguments for property-specific pricing methodologies rather than market-wide algorithm recommendations.

D

Dynamic Pricing

The practice of adjusting nightly rates in real time based on market conditions, demand signals, booking velocity, and other factors. Dynamic pricing is the core capability that separates sophisticated revenue management from static rate-setting. Properties using effective dynamic pricing consistently earn 20-40% more annual revenue than comparable properties using static or minimally dynamic rates. True dynamic pricing requires a rules engine with guardrails (like the 15% maximum discount rule to prevent Airbnb algorithm suppression) - not just a tool that moves rates whenever a competitor moves theirs. Read our complete dynamic pricing guide.

F

Floor Price

The absolute minimum nightly rate a property will accept, regardless of demand conditions, lead time, or competitive pressure. The floor price is set above your breakeven cost per night to ensure every booking is profitable. For premium properties, the floor also serves a brand protection function: accepting rates below floor signals to the market that the property is a budget option, which can undermine premium positioning during high-demand periods. Floor prices are non-negotiable - no lead time discount, no last-minute deal should ever push a rate below the floor. Read the complete floor pricing guide for the full methodology.

G

Golden Engine

Calibr8ted's proprietary pricing algorithm that generates property-specific nightly rate recommendations by synthesizing comp set data, market-wide demand signals, booking velocity, seasonal factors, event calendars, and lead time analysis. Unlike commodity pricing tools that apply market-wide averages, the Golden Engine uses property-specific configuration files with individual floor prices, seasonal multipliers, occupancy targets, and market type designations to generate recommendations that are unique to each property's competitive position and market context. The Golden Engine runs daily at 6 AM, updating rates for every property in the portfolio. Read a detailed explanation of how it works.

L

Lead Time

The number of days between the current date and a specific future booking date. A date that is 30 days away has a lead time of 30. Lead time is a critical dimension of dynamic pricing: guests who book far in advance behave differently from last-minute bookers, and your pricing should reflect these differences. The widely used Calvin Tran 75-55-35 occupancy targeting framework is built around lead time buckets. Read the complete lead time pricing strategy guide.

Length of Stay (LOS)

The number of nights included in a single reservation. LOS management - setting minimum and maximum stay requirements strategically - is one of the most powerful revenue management levers available to STR operators. Longer stays typically mean fewer turnovers (lower operating cost), less calendar fragmentation risk, and often signal a higher-value guest type. Minimum LOS requirements during peak periods prevent short bookings that would block higher-value longer stays. Maximum LOS restrictions protect against long bookings that lock out the ability to capture premium rates as the dates approach and demand increases.

M

Market Position Index (MPI)

A ratio that compares a property's average rate to the average rate of its comp set, expressed as a decimal. An MPI of 1.0 means the property prices at the comp set median. An MPI of 1.2 means the property commands rates 20% above the median. An MPI of 0.85 means the property prices 15% below the median. MPI should be a deliberate strategic choice that reflects the property's quality position relative to its comps - not an accidental outcome of rate-setting. Premium-positioned properties should target MPI above 1.0; value-positioned properties may intentionally target MPI below 1.0 for volume.

Minimum Stay

The shortest booking duration a host will accept, expressed in nights. Minimum stay requirements are one of the primary tools for managing calendar shape, preventing orphan gap creation, and ensuring appropriate revenue per booking. During peak season, 2-3 night minimums are standard; during major holidays, 5-7 night minimums maximize revenue from guests who are committed to traveling regardless of the requirement. During low season, 1-night minimums maximize calendar fill by accepting any booking length. Strategic minimum stay management is a core revenue management skill.

MPI (Market Position Index)

See Market Position Index.

O

Occupancy Rate

The percentage of available nights that are booked and generating revenue, typically expressed as a monthly or annual figure. Occupancy rate is one of the two primary performance metrics in STR (the other is ADR), but neither should be optimized in isolation. High occupancy at low rates produces less revenue than moderate occupancy at premium rates in many market conditions. The RevPAR metric combines occupancy and rate into a single number that better represents true performance. Occupancy targets in professional revenue management are set by lead time window - the 75-55-35 framework sets different occupancy goals depending on how far out a date is.

Orphan Gap

A single unbookable night appearing between two confirmed reservations, typically caused by minimum stay requirements or guest booking patterns that leave an isolated night that cannot be sold at standard terms. Orphan gaps represent direct revenue loss - nights you technically own but cannot monetize. Managing them proactively through orphan gap strategy - including messaging adjacent guests with extension offers, temporarily dropping minimum stay requirements, or applying aggressive discounts specifically to orphan dates - can recover significant revenue that would otherwise be wasted.

OTA (Online Travel Agency)

A third-party platform that connects travelers with accommodations and takes a commission or fee for facilitating the booking. In the STR context, the primary OTAs are Airbnb (which charges hosts approximately 3% and guests 14-20%), VRBO/HomeAway (which offers host-fee or subscription models), and Booking.com (which charges 15-20% host commission). Distribution strategy - which OTAs to list on and how to manage your presence across multiple channels - is a component of comprehensive STR revenue management. Direct booking (capturing guests without OTA fees) is increasingly valuable for operators who can invest in the required infrastructure.

P

Pace Report

A tracking tool that compares your current booking position for a future period against where you were at the same point in time during a prior year (or baseline period). A pace report for June 2026 would compare your current June bookings (as of February 2026) to how many June bookings you had booked at this same point in February 2025. Positive pace (more booked ahead than last year) signals strong demand and supports holding or raising rates. Negative pace triggers investigation - is it a pricing issue, a listing quality issue, or a market condition change?

Peak Season

The highest-demand period in a given market's annual calendar, characterized by the highest occupancy rates, longest advance booking windows, and strongest rate environment. During peak season, demand consistently exceeds supply for quality properties, giving operators pricing power they do not have during other periods. Peak season varies by market: June-August for beach markets like San Diego, March (SXSW) and October (ACL, F1) for event markets like Austin, winter for ski markets, summer for mountain markets. Read the complete seasonal pricing strategy guide.

R

RevPAR (Revenue Per Available Room/Night)

The single most important performance metric in STR revenue management. Calculated as total revenue divided by total available nights (including both booked and empty nights). Unlike ADR (which only considers booked nights), RevPAR forces operators to account for vacancy as a performance factor. A property with RevPAR of $200 is outperforming one with RevPAR of $150, regardless of the individual occupancy and ADR combinations that produced those numbers. Tracking RevPAR monthly and year-over-year is the clearest way to measure whether your revenue management is improving. Read more in the complete revenue management framework.

S

Seasonal Pricing

The practice of adjusting nightly rates systematically based on the time of year, reflecting predictable changes in market demand. A mature seasonal pricing strategy uses a 4-tier framework (Peak, High, Shoulder, Low) with corresponding rate multipliers (1.5x, 1.2x, 1.0x, 0.8x) applied to a base rate. Seasonal pricing provides the structural rate foundation on top of which event overlays, lead time adjustments, and day-of-week differentials are applied. Properties without seasonal pricing structures leave 15-25% of annual revenue uncaptured by charging inappropriate rates during both peak and slow periods. See the complete seasonal pricing strategy guide.

Seasonal Factor Score (SFS)

A multiplier applied to base rates in pricing algorithms to reflect seasonal demand conditions. The SFS encodes both calendar-based seasonality and event-driven demand into a single number. For example, a SFS of 1.50 during SXSW week means rates for that period are set at 150% of the base rate. A SFS of 0.75 during low season means rates are 75% of base rate. In the Golden Engine, SFS values are set per-property and updated when event dates are confirmed or market conditions change.

Shoulder Season

The transition period between peak and low demand seasons, characterized by mixed demand signals - often strong on weekends and soft on weekdays, or strong in the first part of the month and softer in the second. Shoulder season requires the most nuanced pricing of the four demand tiers: not flat discounting (which undersells weekend potential) and not peak-level rates (which over-prices weekdays). A well-structured shoulder season pricing approach uses weekend rates near peak levels and weekday rates near base level, capturing the best of both rather than averaging down to a single compromise rate.

Smart Pricing

Airbnb's built-in dynamic pricing tool that automatically adjusts listing rates based on Airbnb's proprietary demand model. Smart Pricing optimizes for Airbnb's revenue objective - maximizing booking volume across all listings on the platform - rather than for individual host revenue maximization. This misaligned incentive structure consistently results in Smart Pricing rates that are 10-20% below what dedicated host-focused pricing tools recommend. Hosts using Smart Pricing typically underperform the market on RevPAR compared to hosts using dedicated tools or informed manual pricing strategies.

STR (Short-Term Rental)

A rental property leased for a short duration - typically defined as fewer than 30 days, though definitions vary by jurisdiction. STRs are the category of property that includes Airbnb listings, VRBO listings, and properties managed on other OTAs. The STR industry has grown dramatically over the past decade and now represents a significant segment of the accommodation market in most major tourist and event destinations. STR operators face unique revenue management challenges compared to hotels, including the inability to spread statistical models across large room counts and the high dependency on single-platform (Airbnb) distribution.

T

TSVFP (Type, Size, View, Features, Price)

A 5-dimension scoring system developed by Calibr8ted for evaluating the quality and comparability of properties in a comp set. Each dimension is scored on a 0-20 point scale (100 points total):

Properties that score 70 or above are considered valid comps. Properties below 70 are excluded because they are not genuinely comparable enough for their pricing data to be meaningful for benchmarking. Read the full comp set selection guide for the complete TSVFP methodology.

Turnover Cost

The total cost of cleaning and preparing a property for the next guest after a checkout. Turnover cost includes direct cleaning labor or service fees, supplies consumed (toiletries, paper products, laundry), any maintenance or replacement items identified during the turnover, and the opportunity cost of the time required if the host manages turnovers personally. Turnover cost is a critical input to floor price calculation and affects the minimum stay economics of short versus long bookings. High turnover costs favor longer minimum stay requirements; low turnover costs support 1-night minimum policies.

V

Velocity Dampening

A pricing mechanism that reduces rates when booking velocity drops below expected levels, preventing overpricing during periods of soft demand. When booking velocity declines by 20% or more from baseline, the Golden Engine applies a dampening multiplier (typically 0.25-0.35) to the rate calculation, pulling proposed rates below what the market-based formula would otherwise suggest. This prevents the common mistake of holding high rates during demand troughs that were not anticipated by seasonal or event pricing frameworks - such as the post-SXSW hangover in Austin, when demand drops sharply as event energy dissipates.

W

WHMP (What the Market Will Pay)

An estimate of the maximum rate a specific date could achieve based on comparable listings, booking velocity, and demand conditions. WHMP is used as the reference point in Golden Engine rate calculations - proposed rates are set as a fraction of WHMP based on lead time, occupancy targets, and strategic positioning. Pricing at WHMP maximizes short-term revenue but risks conversion (bookings may not arrive at the maximum rate), while pricing below WHMP sacrifices some rate for higher booking probability. The right WHMP fraction depends on how far out the date is, how full your calendar needs to be, and your property's competitive position.

Weekend Premium

The rate differential applied to Friday and Saturday nights (and sometimes Sunday) compared to weekday rates, reflecting the structural difference in leisure travel demand between weekends and weekdays. A weekend premium of 1.3x means weekend rates are set 30% above the weekday base rate. Weekend premiums of 20-40% are appropriate for most leisure vacation rental markets. Failing to apply a weekend premium is one of the most common and costly beginner mistakes in STR pricing, as it effectively discounts every weekend night by 20-40% relative to market rates. See the complete guide to weekend vs weekday pricing.

Y

Yield Management

A synonym for revenue management, borrowed from the airline and hotel industries where the concept originated. Yield management is the practice of maximizing revenue from fixed, time-perishable inventory by adjusting prices based on demand conditions, booking patterns, and competitive positioning. In the hotel context, "yield" refers specifically to the percentage of maximum potential revenue being captured. In the STR context, yield management and revenue management are used interchangeably. The fundamental insight of yield management - that selling the right unit to the right customer at the right price and time generates more total revenue than any static pricing approach - applies as powerfully to vacation rentals as to hotel rooms or airline seats.

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This glossary covers the foundational terminology of professional STR pricing and revenue management. For deeper exploration of any of these concepts, explore our full library of guides:

If you have a question about a term not covered in this glossary, or want a free analysis of how these concepts apply to your specific property and market, we are here to help.

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