How to Use AirDNA as an Investor

Knowing how to use AirDNA as a short-term rental investor is one of the most important skills you can develop before putting money into a property. Most investors eyeball their revenue projections or rely on a Realtor's optimistic estimates — but that's how you end up with a money-losing STR.

AirDNA gives you real market data to build projections from the ground up.

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

Why AirDNA Is Essential for STR Deal Analysis

Most short-term rental investors go into deals with limited data. They might check a few nearby Airbnb listings, guess at occupancy rates, and hope the numbers work out. That approach leaves enormous amounts of money on the table — and exposes investors to serious downside risk.

AirDNA aggregates real performance data from active short-term rental listings across thousands of markets. It tracks revenue, occupancy, average daily rates, seasonal trends, and more. Used correctly, it turns deal analysis from guesswork into a repeatable, data-driven process.

For a deeper look at how to structure your full deal analysis beyond AirDNA, check out this guide on how to analyze a short-term rental property for cash-on-cash return. It pairs well with everything covered here.

Starting With the Market Overview Tab

When you first open AirDNA for a market, you land on the Market Overview tab. This gives you a high-level snapshot: average revenue, occupancy, daily rates, and the number of active listings in the area.

The single most useful number on this screen is the active rental count. It tells you how many properties are competing for bookings in that market. In a major city, you might see thousands of listings. In a rural retreat market, you might see fewer than 50 — which also means the data sample is smaller and less reliable.

Should You Trust the Market Grade?

AirDNA assigns a market grade that factors in revenue growth, demand, and regulations. BNB Mastery recommends treating this grade as a rough starting point, not a decision-making tool. Here's why: the regulatory data AirDNA uses is often outdated or incomplete, which can drag down the grade for markets that are actually investor-friendly.

Don't let a B or C grade scare you away from a market where the fundamentals are strong. The deal itself and the specific submarket matter far more than any composite score. That said, the overview tab is still worth scanning for trends like rental revenue growth, full-time availability percentages, and booking rate differentials between property types.

Comparing Revenue Across Property Sizes

Here's where AirDNA gets genuinely powerful for investors. One of the best features is the ability to filter listings by bedroom count and export that data — so you can compare revenue across 2-, 3-, 4-, and 5-bedroom properties side by side.

The workflow is straightforward:

1. Filter AirDNA listings to show only 2-bedroom properties, then export the data.
2. Repeat for 3-bedroom, 4-bedroom, and 5-bedroom properties.
3. Pull the 75th percentile annual revenue figure for each category (not the average — the 75th percentile gives you a realistic target for a well-managed property).
4. Compare those revenue figures against the average purchase price for each property size in that market.

Using a real market example from the transcript: 2-bedroom properties averaged around $54,000/year, 3-bedrooms came in at roughly $80,000/year, and 4-bedrooms hit about $110,000/year. The pattern was a relatively consistent $30,000 jump per additional bedroom.

Then came the 5-bedroom data — which jumped to approximately $170,000/year. That's a $60,000 increase from the 4-bedroom tier, roughly double the per-bedroom increment seen lower down the range.

Finding the Revenue-to-Price Delta

Revenue alone doesn't tell you which property size to buy. What matters is the delta — the gap between what a property earns and what it costs. A 5-bedroom generating $170,000/year is only a better investment than a 3-bedroom earning $80,000/year if the price difference doesn't eat up the extra income.

In many markets, adding a bedroom doesn't proportionally increase the purchase price. A 5-bedroom might cost 15-20% more than a 4-bedroom, but generate 55% more revenue. That's the delta investors are hunting for.

How to Calculate the Delta

The math is simple. For each bedroom category:

• Pull the median or average sale price for that property size from local MLS data or a real estate agent.
• Divide expected annual revenue (from AirDNA, at the 75th percentile) by the purchase price.
• Compare the resulting revenue-to-price ratios across bedroom counts.

The category with the highest ratio — and the biggest revenue jump relative to price increase — is where you should focus your search. This doesn't guarantee every deal in that tier will pencil out, but it does mean you'll find more good deals more quickly.

Pro tip: This comparison exercise is fast with a simple spreadsheet. Set it up once, and you can run the analysis for any market in under 30 minutes using AirDNA's export feature.

If you want to understand the broader framework for finding the right property type before even running these numbers, this post on the best type of property for Airbnb investing is a helpful starting point.

Analyzing a Specific Property with AirDNA

Once you've identified the right property size and have a specific deal in front of you, the analysis shifts from market-level to property-level. AirDNA's map view is where this gets precise.

Filter the map to show only your target bedroom count — say, 5-bedroom properties — in the neighborhood or zip code you're evaluating. You'll see individual listings with their actual annual revenue displayed. This is where averages give way to real comps.

Building Your Revenue Scenarios

Rather than using a single revenue estimate, model three scenarios:

• Conservative case: Revenue at or slightly below the current market average. In the example above, this might be $140,000-$150,000 for a well-run 5-bedroom.
• Base case: Revenue in line with recent trends, around $160,000-$170,000 if the market has been growing consistently for several years.
• Worst case: Revenue pulls back to prior lows — in this example, potentially $85,000-$90,000 if the market softened significantly.

The key question for any deal: does it still make sense in the worst-case scenario? If a property only works at peak revenue projections, it's a speculative bet, not an investment.

Comparing Your Property to Specific Comps

The AirDNA map view also lets you click on individual listings to see their performance metrics. This is enormously valuable for qualitative calibration. If a nearby 5-bedroom property is generating $274,000/year, you need to ask: is my property comparable in quality, aesthetics, and amenities?

If yes, that number might actually be achievable. If the high earner is a luxury lakefront home and your target is a standard suburban house, the comparison doesn't hold.

Conversely, if you're looking at a property that's similar to one generating $94,000/year at near-maximum occupancy, pull your projections down accordingly. AirDNA gives you the data — but the investor has to make the qualitative judgment call.

For more context on common mistakes investors make in this analysis phase, see this post on 5 big mistakes to avoid with Airbnb investing.

Investors who want a full framework for running deal analysis — including how to stress-test scenarios and calculate actual cash-on-cash return — can explore the BNB Investing Blueprint, which walks through the exact methodology step by step.

Using Occupancy Data to Nail Your Expense Estimates

Revenue is only half the picture. A lot of STR investors make the critical mistake of projecting income accurately but dramatically underestimating expenses — especially cleaning costs.

Here's the thing about occupancy: it doesn't change your gross revenue much (you can hit $100,000 at 50% occupancy or 90% occupancy depending on your nightly rate), but it absolutely changes your expense structure. Higher occupancy means more turnovers, which means more cleaning fees, more supply replenishment, and more wear on the property.

How to Estimate Cleaning Costs Accurately

AirDNA's Occupancy tab gives you market-average occupancy rates by month and season. Use this data alongside two additional inputs:

1. Average length of stay for your market (also available in AirDNA) — this tells you how many turnovers to expect per month at a given occupancy rate.
2. Local cleaning rates — call 3-5 cleaning companies in the area and get actual quotes for a property of your size. Don't guess.

Multiply your estimated number of monthly turnovers by the cleaning cost per turnover, and you have a realistic monthly cleaning expense. Over 12 months, this number can swing your cash-on-cash return by several percentage points — enough to make or break a deal on paper.

This level of expense rigor is what separates investors who consistently hit their projections from those who are always wondering why the numbers don't match. You can also find more on the hidden costs of STR investing in this post on real estate investing risks that most people overlook.

Using the Top Properties Tab to Boost ROI

Finding a great deal is step one. Maximizing that deal's performance is step two — and AirDNA's Top Properties tab is one of the best tools for doing exactly that.

This tab shows you the highest-earning listings in your market, along with their amenities, occupancy rates, pricing, and listing quality. The goal isn't to copy these listings — it's to learn what separates the top 10% of earners from the rest of the market.

Amenities That Actually Move the Needle

When scanning top performers, look for patterns in the amenities they offer. Common high-ROI additions that appear repeatedly among top earners include:

• Hot tubs — one of the highest-return amenities in most leisure markets
• Fire pits — low cost to install, high perceived value for guests
• Kayaks, paddleboards, or bikes — especially valuable in outdoor recreation markets
• Game rooms or home theaters — popular for group bookings and family stays
• Outdoor kitchens or covered patios — extend usable outdoor space across seasons

Adding a hot tub to a 5-bedroom STR might cost $8,000-$12,000 installed. If it increases annual revenue by $20,000-$30,000 (which is realistic in many leisure markets), the ROI on that single amenity addition is extraordinary.

What Else to Look for in Top Listings

Beyond amenities, pay attention to how top properties present themselves. Strong listing titles, professional photography, and well-written descriptions consistently correlate with higher revenue — even among properties that are otherwise comparable. AirDNA gives you the revenue data; visiting these listings directly on Airbnb gives you the qualitative context.

The combination of quantitative data from AirDNA and qualitative research on top-performing listings is what allows savvy investors to find properties that work in any scenario and then push them to perform at the top of the market.

For ongoing support, market discussions, and feedback on your specific deal analyses, connecting with other active investors in a community like BNB Tribe can significantly sharpen your instincts over time.

Putting It All Together: A Smarter Approach to STR Investing

Learning how to use AirDNA as a short-term rental investor comes down to using it systematically rather than casually. The investors who get the most out of the platform aren't just checking average revenue numbers — they're comparing bedroom-count tiers, stress-testing scenarios, calibrating with specific comps, and using occupancy data to build accurate expense models.

In 2026, the STR market rewards investors who do the analytical work upfront. The properties are out there. The data is available. The advantage goes to the person who takes the time to use both correctly.

Start with the market overview, export data by bedroom count, find the revenue-to-price delta, and then get granular with specific comps in your target neighborhood. Model all three scenarios — conservative, base case, and worst case — before making any offer. That process alone puts you ahead of the majority of STR investors currently in the market.