How to Use AirDNA to Pick Profitable Airbnb Properties

Choosing the right property is the single most important decision in any Airbnb business — and this blog video breaks down the exact tool and strategy top hosts use to get that decision right before they commit to a single dollar.

Whether you're buying a rental, running arbitrage, or co-hosting for property owners, knowing which properties actually perform is what separates full-time income earners from frustrated hosts stuck with underperforming listings.

Watch the full video above or keep reading for the complete breakdown.

Why Property Selection Is the Foundation of STR Success

Most new hosts focus on the wrong things first. They obsess over listing photos, pricing strategies, or guest messaging — and those things matter — but none of them can rescue a fundamentally weak property in a low-demand area.

Here's a pattern that shows up consistently across STR portfolios: roughly 20% of properties generate 80% of the revenue. That's not a fluke. It's a predictable outcome of market dynamics, location quality, property type, and amenities. If you're managing or investing in properties without a systematic way to identify which side of that equation you're on, you're gambling.

The good news is that data tools have made this analysis accessible to anyone willing to put in the work. And one tool in particular has become the go-to resource for serious STR operators in 2026: AirDNA.

For anyone building a co-hosting business, picking standout properties also makes client acquisition easier. When you can walk a property owner through a data-backed forecast of exactly what their unit will earn month by month, the conversation changes entirely. You're not selling; you're presenting evidence.

What Is AirDNA and Why Every Host Needs It

AirDNA is a data intelligence platform built specifically for the short-term rental industry. It tracks actual performance data — not just listing prices — across Airbnb, Vrbo, Booking.com, and other platforms in markets around the world.

That distinction matters enormously. Any host can list their property at any price they want. What AirDNA captures is what properties actually get booked for — the real transaction data that reflects true market demand.

What AirDNA Actually Tracks

• Realized booking rates — what guests actually paid, not what hosts asked
• Occupancy rates — how often units are booked versus sitting vacant
• Seasonal fluctuations — when demand peaks and when it drops
• Event-driven pricing spikes — how local events affect nightly rates
• Property-level performance — how individual listings compare to market averages
• Amenity impact — whether features like pools or fireplaces materially improve revenue

With millions of data points across thousands of markets, AirDNA gives hosts a level of market intelligence that simply didn't exist a decade ago. The platform lets you filter by postal code, neighborhood, property size, bedroom count, and property type — so you can get surgical about exactly which type of unit performs best in your specific target area.

For more context on how to evaluate STR investment opportunities using data, see this breakdown on how to conduct a proper Airbnb investment analysis.

How to Use AirDNA to Find Profitable Listings

Having access to AirDNA is only half the equation. The other half is knowing how to extract actionable insights from the data — and that requires a structured approach.

Step 1: Define Your Target Market

Start by narrowing your search to the specific city or region you're operating in. AirDNA allows you to filter down to the postal code or neighborhood level, which is critical because STR performance can vary dramatically from one zip code to the next — even within the same city.

Pro tip: Don't assume the most popular tourist neighborhood is the most profitable. High-supply areas with lots of competition can actually underperform less-obvious neighborhoods with strong demand and limited inventory.

Step 2: Identify the Top-Performing Property Types

Once you've defined your area, filter by property size and type. Look for the bedroom count that consistently delivers the highest RevPAR (Revenue Per Available Room) — a metric AirDNA calculates for you. A two-bedroom in one market might dramatically outperform a one-bedroom, while in another city the reverse is true.

Run the same analysis on amenities. In some markets, listings with hot tubs generate 30-40% more revenue than comparable units without. In others, the difference is negligible. AirDNA data tells you which amenities actually move the needle in your specific market rather than relying on guesswork.

Step 3: Cherry-Pick the Top Performers

Here's where the real strategic advantage comes in. AirDNA doesn't just show you market averages — it shows you individual listing performance. You can identify the top-performing properties in any area, analyze what they have in common (layout, location, amenities, size), and then go find similar properties to bring under management or purchase.

This is the difference between building a portfolio reactively — taking whatever clients or deals come your way — and building one proactively by targeting properties you already know will perform at the top of the market.

For a closer look at what separates winning listings from average ones, this post on must-do Airbnb listing tips covers the key elements that drive bookings once a property is live.

Building Seasonal Income Forecasts That Win Client Trust

Raw AirDNA data is valuable, but it becomes significantly more powerful when you build it into a structured income forecast — one you can present directly to property owners or use for your own investment analysis.

The goal is to translate market data into a month-by-month projection that answers the key questions any property owner has: How much will I earn? When will my slow months be? Is this actually worth it?

Why Seasonal Expectations Matter

One of the most common friction points between co-hosts and property owners happens in low season. Occupancy drops, revenue slows, and owners who didn't see it coming start questioning whether their manager knows what they're doing.

A proper seasonal forecast eliminates that problem almost entirely. When a property owner knows in January — before they've signed anything — that March through May will be slower but that summer will more than compensate, they enter low season with context instead of anxiety. That's better for the relationship and better for your retention as a manager.

Example: In many mountain markets, a property might earn $8,000-$10,000 in a peak winter month but drop to $2,500-$3,500 in shoulder season. Without a forecast, that drop feels like failure. With a forecast, it's expected — and the owner knows the annual total still makes sense.

Building Your Forecast Tool

The most effective approach is to build a spreadsheet model that ingests AirDNA data — average daily rates, occupancy by month, seasonal adjustment factors — and produces a 12-month projection. The model should account for your management fee so both you and the property owner can see the projected split clearly.

This kind of tool also lets you compare multiple properties side by side to determine which one will net you the most in management fees over a full year. That comparison capability is particularly valuable when you're scaling a co-hosting operation and have multiple potential clients to evaluate at once.

Hosts who want to build this kind of analytical discipline into their STR operations can also find structured support in the BNB Tribe community, where experienced operators share systems, tools, and market-specific insights.

Applying This Strategy Across Every Airbnb Business Model

The AirDNA approach works regardless of which STR business model you're running. The core question is always the same: will this property perform well enough to justify the commitment?

For STR Investors

If you're buying properties to operate as short-term rentals, AirDNA data is essential for underwriting deals accurately. It lets you stress-test your projections using real market data rather than optimistic assumptions. Pair AirDNA analysis with a rigorous ROI framework and you dramatically reduce the risk of buying into a market that looks good on paper but underdelivers in practice.

The BNB Investing Blueprint provides a structured framework for running this kind of analysis before committing to a purchase — covering everything from market selection to deal-level cash flow modeling.

For Rental Arbitrage Operators

Arbitrage adds an extra layer of risk because you're paying rent regardless of occupancy. That makes accurate revenue forecasting even more critical. AirDNA data helps you confirm that a property's projected Airbnb revenue will comfortably exceed rent plus operating costs — and by enough of a margin to be worth the effort.

For a realistic look at the risks involved in this model, see this post on the real risks of Airbnb arbitrage.

For Co-Hosts and Property Managers

Co-hosting is arguably where AirDNA provides the most leverage. You're not risking your own capital, but your income depends entirely on picking properties that generate strong revenue — because your management fee is a percentage of that revenue. A portfolio of high-performing properties compounds quickly. A portfolio of mediocre ones stays mediocre no matter how well you operate them.

For hosts looking to build a full co-hosting business — from finding clients to scaling to 20+ properties — BNB Mastery's Co-Hosting Program provides a step-by-step system that includes how to use data tools effectively in the client acquisition process.

Comparing the Three Models

The Bottom Line on Data-Driven Property Selection

The hosts and investors who consistently outperform the market aren't necessarily better at decorating or guest communication. They're better at choosing which properties to work with in the first place. AirDNA is the tool that makes that selection process systematic rather than intuitive.

In 2026, with more STR supply in most markets than ever before, operating without data is no longer a viable strategy. The operators who thrive are those who can walk into any market, run the numbers, identify the top-tier properties, and build a portfolio around them — whether they own those properties or manage them for others.

Start by getting familiar with AirDNA in your target market. Filter down to the neighborhood level. Identify the property types and amenities that consistently outperform. Then build a simple forecast model you can share with property owners. That combination — data plus presentation — is one of the most effective tools for growing an Airbnb business at any stage.