The Airbnb Pricing Checklist

Comp Set Analysis

Do this BEFORE setting any price — time: 25-40 min per listing

Identify 8-12 direct competitors within 1.5 miles

Same property type, same bedroom count (+-1), same guest capacity. Filter to Superhosts only for your pricing ceiling — their rates represent the market maximum for quality.
TARGET: 8-12 comps minimum
Record each comp's nightly rate for next 90 days

Screenshot or spreadsheet. Note their weekday rate, weekend rate, and any visible pricing patterns. You need 90 days because 30-day snapshots miss seasonal swings.
Calculate comp set median (not average)

Averages get skewed by one outlier charging $800/night. Median gives you the true market center. Drop any comp with fewer than 10 reviews — insufficient data.
USE MEDIAN, NOT AVERAGE
Note each comp's occupancy (booked calendar days / total days)

Manually check their calendars on Airbnb. A comp at $200/night with 40% occupancy is earning less than one at $150 with 85%. Revenue matters, not rate.
COMMON TRAP: Copying the highest-priced comp without checking their occupancy
Identify your amenity differential vs. top 3 comps

Hot tub = +15-25% pricing power. EV charger = +8-12% in metro areas. Dedicated workspace = +5-10% for business-travel markets. Pool = +20-30% in summer, +0% in winter. Stack these — they compound.
Check comp review scores and review count

A 4.95-star comp with 200+ reviews can command 15-20% more than a 4.7-star with 30 reviews. Your review score IS your pricing power. Below 4.8? Fix guest experience before touching price.
RULE: Below 4.8 stars = fix experience first, price second

From Managing 100+ Properties

I run this comp analysis quarterly, not just at launch. Markets shift. New listings appear. A hotel opens. Your comp set from 6 months ago might be completely irrelevant today. I assign a VA to refresh comp data every 90 days across our entire portfolio.

Base Price Calculation

Your foundation — get this wrong and nothing else matters

The Base Price Formula

Base = Comp Median × Amenity Multiplier × Review Multiplier

Start here. Every adjustment in Sections 3-5 builds on this number.

Set base price at comp set median (from Section 1)

This is your starting point, not your final price. Resist the urge to start high — you need booking velocity to build reviews and ranking.
Apply amenity multiplier from your differential analysis

Stack your premiums: hot tub (+18%), dedicated workspace (+7%), EV charger (+10%), game room (+5%), sauna (+12%). These are averages from our portfolio — your market may vary by +-5%.
CAP TOTAL AMENITY PREMIUM AT 40%
Apply review score multiplier

New listing (0 reviews): multiply by 0.80-0.85 — you need to earn trust. 4.8+ with 50+ reviews: multiply by 1.0 (no discount). 4.9+ with 100+ reviews: multiply by 1.10-1.15. Superhost badge: add another 5%.
Validate against your break-even number

Your base price at 65% occupancy must cover: rent + utilities + cleaning + supplies + platform fees (Airbnb takes ~14-17%) + your time. If it doesn't, the deal doesn't work. Walk away or renegotiate the lease.
RED LINE: If base × 0.65 occupancy < total monthly costs, do NOT sign the lease
Set your cleaning fee separately

Cleaning fee = your actual cleaning cost + $10-15 buffer. Don't bury cleaning in the nightly rate — it destroys your search ranking for short stays. Don't inflate it either — guests filter by total price.
WARNING: Airbnb now shows total price in search. Inflated cleaning fees no longer hide.
Set minimum stay: 2 nights (most markets), 3 nights (premium)

1-night stays have the worst RevPAN (revenue per available night) after accounting for cleaning, turnover time, and guest quality. The exception: urban markets near airports or hospitals where 1-night demand is consistent.

From Managing 100+ Properties

New listing strategy: price 15-20% below your calculated base for the first 30 days. Yes, you're leaving money on the table. But those early bookings generate reviews, and reviews generate ranking, and ranking generates sustained revenue. I've tested this across dozens of launches — the "discount launch" strategy pays for itself by month 3.

Dynamic Pricing Triggers

When and how to adjust — with exact percentages

21+ days out, unbooked → drop price 5% every 3 days

If a date is 21+ days away and still open, start the clock. Every 3 days without a booking = another 5% drop. Floor: never go below your break-even from Section 2.
MAX DISCOUNT: 25% below base before you hit floor
7 days out, unbooked → drop to 80% of base (aggressive fill)

An empty night at 80% of base is infinitely better than an empty night at 100% of base. At 7 days, the probability of a full-price booking drops dramatically. Be aggressive.
EMPTY NIGHTS = $0 REVENUE. There is no "saving" that inventory.
3 days out, unbooked → drop to 65-70% of base (last-chance)

This is your last-chance window. Some revenue beats zero revenue. Last-minute travelers expect deals — give them one and fill the night.
Local events detected → raise price 25-80%

Concerts, conferences, sports events, graduations, festivals. Set Google Alerts for your city + "event" + "festival" + "conference". Check your city's event calendar monthly. Major events = 50-80% increase. Minor local events = 25-35%.
TOOL: Google Alerts, Eventbrite, local CVB calendars
Occupancy above 80% for next 30 days → raise base 8-12%

If you're consistently above 80% occupancy, you're leaving money on the table. The market is telling you your price is too low. Raise it gradually — 8-12% at a time, then monitor for 2 weeks.
Occupancy below 55% for next 30 days → drop base 10-15%

Below 55% means you're overpriced for this market at this time. Don't wait — cut now. You can always raise later. Revenue lost to empty nights is gone forever.
CHECK FIRST: Is low occupancy from pricing or from a seasonal dip? (See Section 4)
Weekend premium: Fri-Sat +15-30% above weekday base

This varies by market. Tourist/leisure markets: +25-30%. Business travel markets: weekends might actually be LOWER. Urban mixed markets: +15-20%. Check your comp set data.
Gap night pricing: single nights between bookings → drop 30-40%

A 1-night gap between two bookings is almost impossible to fill at full price. Drop it 30-40% and capture something. Better yet, set up orphan-night discounts in your pricing tool.
PRO MOVE: Auto-detect gap nights and push instant-book discounts

From Managing 100+ Properties

At scale, I can't manually adjust 100+ listings every day. We use PriceLabs as our dynamic pricing backbone, but the triggers above are the rules we program INTO it. The tool executes — you still need to know the strategy. A pricing tool with bad settings is worse than no tool at all.

Seasonal Adjustment Calendar

Map your market's revenue cycle — adjust monthly

Map your market's high/shoulder/low seasons from AirDNA or 12-month comp data

Every market has a rhythm. Beach town? Summer peak, winter dead. Ski resort? Inverse. City center? More stable but dips in Jan-Feb. You need at least 12 months of data — don't guess.
High season: +20-40% above base price

Your peak months. Demand exceeds supply. Push pricing hard and don't discount early bookings — they'll fill at premium. This is where you make the money that covers low-season dips.
HIGH SEASON = 60%+ OF ANNUAL PROFIT
Shoulder season: base price, focus on occupancy over rate

Transition months. Demand is moderate. Keep pricing at or slightly below base. Prioritize occupancy — 85% at base is better than 60% at base+15%.
Low season: -15-25% below base, reduce minimum stay to 1-2 nights

Survival mode. Cut prices early, reduce minimum stay, consider weekly/monthly discounts (20-30% and 40-50% respectively). Some markets: pivot to mid-term rentals (30+ nights) for insurance adjusters, traveling nurses, relocations.
LOW SEASON PIVOT: 30+ night bookings at 50% discount often beat nightly with 35% occupancy
Holiday premiums: Thanksgiving +40-60%, NYE +60-100%, July 4th +35-50%

Major US holidays are pricing events. Set these 90+ days in advance. Require 3-5 night minimums over holidays. These are your highest-margin nights of the year — don't undersell them.
Set pricing adjustments 90 days ahead on a rolling basis

Don't wait until the month starts. Update your next 90 days of pricing every single month. Many guests book 30-60 days out — your prices need to be right when they're looking.
CALENDAR REMINDER: 1st of every month = 90-day pricing refresh

Weekly Review Checklist

15 minutes every Monday — non-negotiable

Check occupancy rate for next 14 and 30 days

14-day occupancy below 60%? Immediate price cut. 30-day occupancy below 55%? Reassess your base price. Above 85% on both? You might be leaving 10-15% on the table.
TARGET: 70-85% occupancy (market-dependent)
Scan for gap nights in the next 21 days

Single-night orphans between bookings. Apply 30-40% discount. Open instant book if not already. Consider messaging recent guests about extending their stay to fill the gap.
Review booking pace vs. same period last year (or last month)

Are you booking faster or slower than normal? Faster = raise prices. Slower = investigate. Is it the market, your listing, your reviews, or just your pricing? This comparison prevents panic-discounting.
Check for new competitor listings within your comp radius

New listings often launch with aggressive pricing. A new Superhost with a better-amenitized property at your price point is a real threat. Adjust your positioning within 1 week of detection.
Check upcoming local events (next 60 days)

New events get announced constantly. Check your Google Alerts, local event calendars, and Eventbrite weekly. A missed event = missed premium pricing opportunity.
Calculate RevPAN for the past 7 days

RevPAN = Total Revenue / Total Available Nights. This is the only number that matters. High rate + low occupancy = bad. Low rate + high occupancy = might be bad. RevPAN tells you the truth.
Review and respond to all new reviews

Reviews directly impact your pricing power. A 4-star review should trigger an immediate guest experience audit, not a pricing change. Respond to every review within 24 hours — the algorithm rewards engagement.
4-STAR REVIEW = GUEST EXPERIENCE AUDIT within 48 hours

From Managing 100+ Properties

This 15-minute Monday review is non-negotiable in our operation. Every property manager on my team does it. At scale, we batch it — one person reviews all properties in a market segment. The data compounds. After 3 months of weekly reviews, you'll develop an intuition for your market that no pricing tool can replace.

Top 7 Pricing Mistakes That Kill Revenue

I've seen every one of these across 5,000+ students

Setting price once and never adjusting

Fix: Weekly reviews (Section 5). Dynamic pricing is not optional — it's the difference between 60% and 85% occupancy at the same average rate.

Pricing based on what you want to earn, not what the market pays

Fix: Comp set analysis (Section 1). Your mortgage payment is irrelevant to a guest deciding between you and 47 other listings. Price to the market, not your expenses.

Refusing to lower prices for fear of "devaluing" the listing

Fix: An empty night at full price earns $0. An occupied night at 70% of base earns 70% of base. This math is not complicated. Revenue beats pride.

Ignoring gap nights

Fix: Orphan night discounts (Section 3). A single empty night between bookings costs you the nightly rate PLUS the cleaning fee you can't recoup. Attack gap nights aggressively.

Not pricing holidays 90+ days in advance

Fix: Seasonal calendar (Section 4). By the time you realize it's Thanksgiving week, the high-value guests already booked elsewhere. Set holiday premiums the DAY bookings open for that period.

Using a dynamic pricing tool with default settings

Fix: Defaults are generic. You need to program YOUR rules (Sections 2-4) into the tool. PriceLabs, Beyond, Wheelhouse — all powerful, all garbage with factory settings. The tool amplifies your strategy; it doesn't create one.

Optimizing nightly rate instead of RevPAN

Fix: RevPAN (Revenue Per Available Night) is your north star. A $200 rate at 50% occupancy = $100 RevPAN. A $160 rate at 80% occupancy = $128 RevPAN. Chase RevPAN, not rate.

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