Smart Pricing Companion
What should I review? Compare suggested and current rates using property inputs and relevant market context. Consider the dates, comparable properties and your own pricing boundaries.
Explore this tool →Smart pricing · simulation · revenue
Make the rate decision with more than a hunch.
Understand the question before changing the rate. Our Smart Pricing Companion, Dynamic Pricing Simulator and Revenue Calculator connect your property inputs with current market context from Mashvisor, PriceLabs and AirDNA.
Market Smarter! Price Smarter! Book More!We don’t manage your property, we GROW it.
Pricing gets easier when each tool has a clear job.
A nightly rate is what you charge for one night. Occupancy is the share of offered nights that are booked. Gross room revenue is the nightly rate multiplied by sold nights, before the costs of running the stay. Our pricing tools help you compare these assumptions; your separate cost records show what remains after expenses.
| Your step | What to do |
|---|---|
| Review the current rate | Our Smart Pricing Companion compares suggested and current rates for dates in the documented workflow. Add the property details, base price and minimum stay, then inspect the comparison. |
| Explore a different approach | Our Dynamic Pricing Simulator uses address, base/weekday/weekend rates, seasonal adjustments and confirmed event inputs to explore monthly and annual scenarios. |
| Follow the money assumptions | Our Revenue Calculator uses supported property and nightly-rate inputs. What If Scenario lets you compare occupancy, rate and average stay length; save the scenarios you want to revisit. |
| Choose deliberately | Check comparable-property fit, source dates, demand context and your own costs. You approve the choice and apply rates in the system controlling the listing. |
Picture this at your property
Illustrative arithmetic, not a forecast: 18 sold nights at $200 produce $3,600 in gross room revenue. The same 18 nights at $220 produce $3,960. The $360 difference explains the rate assumption; it does not establish that guests will book at the higher price. Review available Mashvisor, PriceLabs and AirDNA context for the actual market and dates.
A quick question for you
The simulator shows more revenue at a higher rate. Is that a guaranteed result?
See the answer and why
No. Check the demand, occupancy and cost assumptions. A scenario shows what its inputs imply. It helps you ask better questions before choosing a real offer.
Three tools. Three different questions.
Dynamic Pricing Simulator
What happens if I change the assumptions? Explore weekday/weekend, season, holiday and local-event scenarios before choosing an approach.
Explore this tool →Revenue Calculator
What do the assumptions add up to? Explore estimated income using rate, occupancy, stay length and the inputs available in the tool. Keep gross revenue and expenses separate.
Explore this tool →AirDNA. PriceLabs. Mashvisor. Put the context to work.
Our STR Tech Stack brings these named market-data resources into the pricing and revenue workflow. Review available comparable rates, occupancy signals and demand context alongside your location, amenities, dates and current rate. Check the source date and whether the comparable property actually resembles yours.
Data coverage, source dates and usage allowances vary by tool and plan. Market estimates support your decisions; they do not guarantee bookings or income.
Understand the role of each technology resource →Your rules belong in the decision.
The pricing enhancement includes custom boundaries and rules, specific-date/season/event recommendations and the ability to accept or fine-tune a suggestion. Compare the recommendation with your costs, property strengths and goals before acting. The website does not promise automatic rate changes on Airbnb, Vrbo or other booking channels.
A rate is only part of the revenue story.
Illustrative 30-night month: $200 × 30 nights × 50% occupancy = $3,000 gross revenue. At $180 and 60% occupancy, the result is $3,240 gross. Those are supplied assumptions, not a forecast that a lower rate will create demand. Neither figure deducts expenses, tax or financing.
Use Jack to explain the figures you have checked. Once you choose an offer, carry the actual rate, dates and stay terms into your listing and campaign.
STR Pricing Tools: Dynamic Pricing Simulator & Smart Pricing Companion
An open Tuesday is a question to investigate before it becomes an automatic discount.
What you can do with this feature
Our Dynamic Pricing Simulator models rate scenarios across seasons, holidays, local events and weekday/weekend patterns. Our Smart Pricing Companion helps compare current rates with recommendations and relevant pricing context. Current market-data resources from Mashvisor, PriceLabs and AirDNA support the research where available.
How to use the workflow
Bring the property facts, dates, current rate, occupancy assumptions, stay rules and relevant costs. Compare like periods and similar properties. Test one change, inspect what moved and use your actual cost floor and business judgment to choose a next step. Save available What If scenarios for a consistent comparison.
See it in a real task
Illustrative mountain-home example: a host is comparing a school-holiday weekend with a quieter late-season period. Use Dynamic Pricing Simulator and Smart Pricing Companion to test the dates and stay assumptions separately. Check relevant comparable properties and actual operating costs before choosing the offer.
Where the time savings come from
Organize rate questions and scenario comparisons in the same workspace as the marketing work that follows. Reduce repeated setup and scattered calculations. These are planning tools, not demonstrated automatic OTA rate synchronization or guarantees of demand.