Airbnb 75/55 Rule Calculator: Set Your Target Rate and Safe Floor

What the 75/55 Calculator Actually Does

The calculator gives you a boundary. It does not give you a demand forecast. Enter a target ADR. Multiply it by 0.55. The result is the lowest rate allowed by the framework. You then compare that result with the lowest rate your business can safely accept.

For example, a $200 target produces a $110 framework floor. That arithmetic does not prove that $200 is the right target or that $110 covers the property. The quality of the result depends on the quality of the input.

Use the calculator as a control tool. It tells you when a planned discount crosses the framework boundary. It also forces you to name your target ADR instead of letting a pricing tool choose an anchor in the background.

The cornerstone explanation of the 75/55 rule remains the source for the definition. This page is the worksheet that turns that definition into numbers.

Step 1: Choose a Target ADR You Can Defend

Your target ADR is the price anchor for a normal night. It is not the highest price on your calendar. It is not a holiday price. It is not the price you wish the market would pay. It is a working target that you can explain from current listing evidence.

Start with live Airbnb listings that compete for the same guest. Match the property type, bedroom count, guest capacity, area, quality, amenities, and date. A luxury two-bedroom downtown is not a useful comparable for a basic two-bedroom thirty minutes away. A booked calendar is also hard to read because you cannot see the price that converted.

Build a small set of current choices a guest can still book. Note the visible nightly prices for ordinary dates. Remove dates driven by a large event or holiday. Do not average weak and strong nights into one false number. Your goal is a usable base anchor, not a market report.

Keep the target provisional when evidence is thin. You can start with a reasoned position and adjust after you observe bookings, views, guest questions, and the pace of the calendar. A target is a controlled hypothesis. It is not a fact just because it lives in a spreadsheet.

A target rate is useful only when you can say what evidence would make you change it.

The canonical Airbnb pricing strategy guide separates strategy, execution, and diagnosis. Use that split here. The target belongs to strategy. Nightly calendar prices belong to execution. Your weekly review belongs to diagnosis.

Step 2: Calculate the 55% Framework Floor

Once the target ADR is set, the framework floor takes one line of arithmetic:

Framework floor = target ADR × 0.55

For a $200 target ADR, multiply 200 by 0.55. The result is $110. For a $160 target, the result is $88. For a $275 target, the result is $151.25. Your pricing interface may require whole dollars. Choose and document a consistent rounding rule.

Every number in that table is illustrative arithmetic. None is a market average, a recommendation for your city, or a reported result. Replace the target with your own defended input.

Do not reverse the calculation. The floor is not a target that you mark up to invent an ADR. Start with the target, then calculate the floor. If the result is economically unsafe, revisit the target, the listing costs, and the market fit.

Step 3: Calculate a Separate Cost Floor

The framework floor protects price discipline. The cost floor protects unit economics. Those are different jobs.

A simple cost-floor worksheet begins with fixed monthly costs, realistic booked nights, variable cost per stay, and average nights per stay. The linked pricing guide gives the structure. This article uses it as a safety check, not as a claim that one formula captures every tax, fee, or operating condition.

Start with fixed monthly costs tied to the unit. Examples can include rent or mortgage expense, utilities, insurance, software, and a fair share of recurring property costs. Include only costs you can support from records. Do not fill gaps with guesses just to finish the sheet.

Next, choose a realistic booked-night input. This is not the best month you ever had. It is not a generic city occupancy rate. It is a planning input you can defend from your own records or a cautious new-listing assumption. If the number is uncertain, calculate several cases.

Then add variable cost per occupied night. A cleaning charge that occurs once per stay must be spread across the average stay length if the host absorbs any part of it. Consumables, laundry, wear allowances, and payment costs may also matter. Your accounting rules decide what belongs here.

Do not present the result as guaranteed profit, taxes, platform fees, damage, refunds, owner labor, maintenance. Unusual costs can change the actual outcome. The purpose of the cost floor is to stop obvious loss-making discounts from slipping through an automated rule.

Step 4: Use the Higher of the Two Floors

Now compare the framework floor with the cost floor. The higher number becomes the effective working floor.

Effective working floor = higher of framework floor or cost floor.

This is a practical safety synthesis. Sean's 75/55 definition supplies the 55% framework floor, while the pricing guide supplies the cost-floor check. Combining them prevents a percentage rule from overruling known unit economics.

If the cost floor is higher, do not force the business below it to preserve a neat percentage, investigate the cause. The target may be too low. The realistic booked-night input may be too optimistic. The property may carry costs the market will not support. A pricing framework cannot repair a unit that fails its own math.

If the framework floor is higher, that is the active guardrail for this method. You can still hold rates above it. A floor is not a suggested selling price. It is the line you have chosen not to cross.

Three Worked Examples With Clearly Labeled Inputs

Example 1: The framework floor controls

Assume an operator sets an illustrative target ADR of $200. The framework floor is $110. The operator's own cost worksheet produces an illustrative cost floor of $94. The effective working floor is $110 because it is the higher number.

The operator can price a normal night at $200. Make modest moves when evidence supports them. Reserve the deepest cut for the limited last minute part of the calendar. The operator still does not have to reach $110. That number is a boundary, not a goal.

Example 2: The cost floor controls

Assume a target ADR of $220. The framework floor is $121. The unit's cost worksheet produces a $137 floor. The effective working floor becomes $137. A tool set to $121 could accept a rate that fails the operator's own cost rule.

The right response is not to hide the cost calculation. The operator should inspect the target, fixed cost, stay cost, and market fit. If $137 cannot attract enough demand, the issue may sit above the nightly-price setting.

Example 3: The target changes

Assume a target ADR begins at $180. The framework floor is $99. Later, the operator reviews current comparable choices and property evidence and moves the target to $195. The new framework floor is $107.25. If the interface uses whole dollars, the operator documents how that value is rounded.

The old floor should not remain in the tool by accident. The target and its derived floor must travel together. Record the date, old value, new value, and reason. Without a change log, a floor becomes a stale number with false authority.

Run a Sensitivity Check Before You Trust the Result

A single input can make a clean formula look more certain than it is. Run low, base, high cases for the inputs that carry uncertainty.

For the target ADR, test a conservative value, your base value, and a stronger value. Calculate 55% for each. For the cost floor, change the realistic booked-night input and average stay length. Watch which assumption moves the result most.

This does not predict the future. It tells you where the worksheet is fragile. If a small change in booked nights pushes the cost floor far above the framework floor, the unit has little room for error. That is useful operating information.

Keep assumptions labeled. Observed invoice totals and booked nights are evidence. A future occupancy guess is an assumption. The multiplication is computed. The decision to use a buffer is judgment. Mixing those labels makes the worksheet harder to audit.

Map the Floor to the Calendar Without Turning It Into a Target

After the worksheet is complete, move to execution. Airbnb says hosts can set a default nightly price and custom prices for one or more selected nights. Airbnb also says a custom price can override default nightly pricing and other listed pricing settings for those dates. Read the current Help Center page before changing a live calendar because interfaces can change (Airbnb nightly-pricing documentation).

Use the target ADR as the anchor for the broad part of the calendar. Use the effective floor as the boundary for the limited discount zone. Events, weekends, gaps, and unusual dates still need judgment. The 75/55 framework does not require one flat price across every date.

Do not paste the floor across the final 25% of nights. That would turn a protective line into a blanket discount. Build a curve that can stop above the line when demand supports it. The companion guide on the 75/55 discount curve shows how to stage that decision.

Write down the target, framework floor, cost floor, effective floor, date set, next review date. This small record turns a pricing move into a test you can understand later.

Common Calculator Mistakes

Mistake 1: Treating list price as target ADR

A hopeful list price is not the same as a defended target. Use live comparable choices and property evidence. If the target is fantasy, the floor will be fantasy with better formatting.

Mistake 2: Using a generic market average

A city average can hide property type, quality, neighborhood, date. The calculator needs a listing-level input. Broad market figures can provide context. They do not choose your nightly rate.

Mistake 3: Ignoring the cost floor

A percentage floor can still sit below known costs. Compare both numbers. If the cost floor wins, investigate why.

Mistake 4: Counting cleaning money twice

If the guest pays a cleaning fee that fully covers cleaning, do not also treat the same amount as an uncovered nightly cost. If the fee covers only part, include only the part the business carries. Use records.

Mistake 5: Changing several inputs at once

If you change the target, minimum stay, discount curve, photos, and promotion at the same time, you will not know which move affected the calendar. Change one pricing variable when practical and record it.

Mistake 6: Letting the floor become stale

Costs and market position can change. Review the inputs on a fixed cadence and after a material change. Do not grant an old number permanent authority.

A 10-Minute Implementation Checklist

The next step is implementation. Read how to translate the 75/55 framework into PriceLabs controls without inventing a feature that does not exist.

Keep a Change Log So the Calculator Stays Useful

The calculator is a snapshot. Your listing keeps moving: costs change, comparable choices change, and the calendar reveals new evidence. Without a change log, the target and floor can drift away from the facts that created them.

A useful log does not need special software. One row per reviewed change is enough. Record the property, date, target ADR, framework floor, cost floor, effective floor, affected dates, exact reason, and next review date.

Separate facts from interpretation in the log. A rate shown on the Airbnb calendar is observed. A floor produced by multiplication is computed; a belief that demand will improve next week is an assumption. A decision to hold the target is judgment. Those labels keep an uncertain belief from hardening into a fake fact.

Review the result at two levels. First, verify execution. Did the intended price reach the intended dates? Did any discount or override push a rate below the floor? Second, review the strategy. Is the target still supported? Are costs still represented? Do the comparable choices still match the listing?

Do not judge a change only by occupancy. A night can book at a rate that fails the property economics. A night can remain empty because the listing has a visibility or conversion problem. The price log should sit beside the listing diagnostic, not replace it.

When a result is weak, resist the urge to rewrite the whole system. Identify the first failed assumption. If the calendar price did not match the intended value, repair execution. If it matched but guests did not respond, inspect the offer and market position. If bookings came but the unit lost money, repair the strategy or the business model.

Archive old values instead of deleting them. The history shows whether the team is learning or merely reacting. It also makes rollback possible when a new target creates obviously wrong prices.

The point of the worksheet is not to produce one impressive number. The point is to keep a pricing boundary tied to evidence as the listing changes.

Assign one person to own the record when several people manage the listing, whether that person is the cleaner, co-host, revenue manager, or owner. Each may notice different evidence. The target should not change through five private conversations. Put the proposed change in one place, name who approved it, and name who checked the Airbnb calendar after it was applied.

For a portfolio, keep property-level rows. A target or floor that works for one unit can fail another unit with different rent, guest capacity, location, or stay pattern. A portfolio average may help you scan for outliers, but it should not erase the property math that sets the boundary.

Finally, keep the calculator reversible. A new target should never destroy the old evidence. Save the prior row and change the active value. Verify the calendar. That small discipline makes the next pricing discussion faster and more honest.