How to Benchmark Your Airbnb's Performance Against the Local Market

Most owners benchmark by comparing this year's revenue to last year's. That tells you whether the market moved. It does not tell you whether you moved with it, and it tells you nothing at all about whether the three-bedroom two streets over earned forty percent more than you did on the same calendar.

Benchmarking exists to answer one question: is this unit underperforming the market, or is the market soft? Those two answers call for opposite responses. A soft market means hold your rate and protect your margin. An underperforming unit means something you control is broken — the photos, the minimum stay, the rate curve, the review velocity, the turnover standard. Owners who skip the benchmark usually guess, and they usually guess "market," because that answer requires nothing of them.

The metrics worth benchmarking

Five numbers carry almost all the signal. Everything else is commentary.

Key Data, which builds benchmarking tools for the industry, defines RevPAR as total revenue divided by all available nights and ADR as average revenue per occupied night, and it recommends pacing, booking window, length of stay, cancellation rate and channel mix alongside them. Use RevPAR as the headline. It is the only one of the three core figures that cannot be gamed by sacrificing the other.

Your occupancy number and the market's occupancy number are not the same number

This is where most owner-led benchmarking quietly falls apart, and it is worth understanding before you read a single market report.

AirDNA, the most widely used source of market-level short-term rental data, calculates a listing's occupancy by dividing reserved days by total active listing nights over the trailing twelve months. Blocked nights are excluded from the denominator entirely. AirDNA also only counts a listing as active in a given month if it had at least one reserved day in the previous month, and it refreshes that count monthly, which means the data lags by about a month.

Now look at your own calendar. If you blocked three weeks in March for your own stay and another ten nights for a renovation, your calendar-based occupancy counts those nights against you. The market benchmark does not count equivalent nights against your neighbors. Compare the two straight across and you will conclude you are losing to a market that is not actually beating you.

There is a second wrinkle. AirDNA has acknowledged that blocks and bookings look identical on a public listing calendar, so it infers the difference using machine learning across sixteen booking signals including length of stay, lead times and reviews, and it de-duplicates the same home listed on multiple platforms using fourteen metrics. Key Data makes the same observation from the other direction, noting that "many listing platforms display disabled nights the same as sold nights."

None of that makes market data useless. It makes it an estimate, and an estimate is still the best external reference most owners will ever get. It just means you have to normalize your own number to match the benchmark's definition before you compare them. Pull your blocked and owner-use nights out of your denominator, then compare.

Where the benchmark comes from, and what each source can see

Use both if you can. Use the scraped data to understand the shape of your market and the first-party data to judge your own operating performance. The habit is spreading: Key Data, citing a 2022 Transparent and Rentals United report, puts the share of property managers relying on analytics tools at roughly 40%, up from 13% before 2020. That is still a minority. It is also most of your serious competition.

Building a comparison set that means something

A benchmark is only as honest as the group you benchmark against. "Raleigh" is not a comparison set. A three-bedroom ten minutes from downtown Durham with a hot tub and a 2-night minimum is not competing with a studio near the airport, and averaging them together produces a number that describes neither.

Narrow on four axes before you draw any conclusion:

• Bedroom count and sleeping capacity. This is the single biggest driver of both ADR and the guest segment you attract.
• Submarket, not metro. Pompano Beach and Delray Beach behave differently, and both behave differently from Miami. The Triangle is three distinct demand patterns wearing one name.
• Price tier. AirDNA's national figures show budget listings averaging 58.5% occupancy against 50.7% for luxury. If you are priced in the top quartile of your submarket, lower occupancy is the design, not the failure.
• Amenity tier. Pool, hot tub, parking, workspace. These move conversion enough that ignoring them corrupts the comparison.

Reading the gap

Once you have a clean comparison, the diagnosis is usually mechanical.

National averages are a sanity check, not a target

AirDNA's 2026 Midyear Outlook, published July 8, 2026, forecasts U.S. short-term rental occupancy averaging 57.4% for the full year, slightly above the 57.0% pre-pandemic average, with demand up 2.7%, supply up 2.7% and RevPAR up 2.9%. AirDNA separately puts the trailing-twelve-month national average occupancy across Airbnb and Vrbo at 54.3%, ranging from 41.6% in January to 67.5% in July.

Those numbers are useful for exactly one thing: telling you whether the national tide is rising or falling. They are useless as a target. A 54% annual occupancy is a disaster in a steady business-travel submarket and a strong result in a seasonal beach market where the whole year is decided in four months. Anyone who quotes you a national occupancy figure as a goal for your specific home is not benchmarking. They are guessing with a citation attached.

This is the part national managers structurally cannot do well. Benchmarking requires knowing that one side of a street books differently from the other, that a particular submarket's shoulder season moved three weeks earlier this year, that the new competitor who opened in March is undercutting on 2-night stays. That knowledge is local, it is current, and it does not survive being averaged across forty markets by someone who has never driven the street.

Benchmark on a schedule, not on a feeling

Pull the comparison monthly, review pace weekly in the ninety days before peak season, and write down what you changed and when. Half the value of benchmarking is not the benchmark — it is having a record that lets you attribute a result to a decision instead of to the weather. That is the difference between running a short-term rental as a business and holding one as a hopeful asset. The revenue is passive for you. The work that produces it is not, and someone has to do it.

We manage homes across the Triangle — Raleigh, Durham and Chapel Hill — and Southeast Florida from Miami up through Lantana, and we benchmark every home in both markets against its own local comparison set rather than a metro average. If you want to know where your property actually sits against the homes it competes with, we will put together a free revenue estimate for your address.